CN111966063A - Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method - Google Patents

Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method Download PDF

Info

Publication number
CN111966063A
CN111966063A CN202010757833.8A CN202010757833A CN111966063A CN 111966063 A CN111966063 A CN 111966063A CN 202010757833 A CN202010757833 A CN 202010757833A CN 111966063 A CN111966063 A CN 111966063A
Authority
CN
China
Prior art keywords
biosynthesis
working
devices
server
working devices
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010757833.8A
Other languages
Chinese (zh)
Other versions
CN111966063B (en
Inventor
何凯
陈书
赵文亮
方海涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Institute of Advanced Technology of CAS
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN202010757833.8A priority Critical patent/CN111966063B/en
Priority to PCT/CN2020/129562 priority patent/WO2022021679A1/en
Publication of CN111966063A publication Critical patent/CN111966063A/en
Application granted granted Critical
Publication of CN111966063B publication Critical patent/CN111966063B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32368Quality control
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

The application relates to the technical field of biosynthesis, in particular to an automatic casting platform integrated system applied to synthetic biology and an automatic biosynthesis method. The automated biosynthesis system provided by the application comprises a hardware subsystem and a software subsystem; wherein the hardware subsystem comprises a plurality of working devices, and the software subsystem comprises: the client is used for receiving the biosynthesis process and writing the biosynthesis process into the server; and the server is used for determining the working time sequences of the plurality of working devices according to the biosynthesis process, generating control instructions for the plurality of working devices according to the working time sequences, and transmitting the control instructions to the plurality of working devices so as to instruct the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions. The application provides an automatic biosynthesis system not only can improve biosynthesis's operating efficiency, can also improve the standardization and the ageing of operation to improve biosynthesis's rate of accuracy.

Description

Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method
Technical Field
The application belongs to the technical field of biosynthesis, and particularly relates to an automatic casting platform integrated system applied to synthetic biology and an automatic biosynthesis method.
Background
Designing and synthesizing predictable vital information bodies, such as Deoxyribose Nucleic Acid (DNA) fragments with specific functions, escherichia coli, corynebacterium glutamicum, bacillus subtilis and the like, are not only core scientific problems in the field of synthetic biology, but also necessary preconditions for application in various fields such as industry, agriculture, medicine and the like. Due to the high complexity of synthetic organisms, researchers in pharmaceutical companies, biological research institutes, and other institutions that use biosynthetic technology are required to perform a large number of engineering trial and error experiments in the study of biosynthetic substances. With the development of biosynthesis technology, the traditional manual synthesis can not meet the high-flux requirement of synthetic organisms.
Through the biological automatic casting integration technology, a synthetic biological automatic casting platform is built, so that the standardization and the correctness of operation can be improved, and the synthesis efficiency can be improved. At present, a synthetic biology automation platform mainly adopts a semi-automatic mode, a plurality of devices are fixed in a room, part of the devices can work cooperatively, researchers firstly design a biosynthesis process in software, and then sequentially put materials required by biosynthesis into designated non-cooperative devices.
The prior semi-automatic artificial synthesis biological process has the following defects: (1) the working efficiency is low. Researchers need to design a synthetic path of the biological substances and also need to carry out the operation in person according to steps, so that the working efficiency is low. (2) The operation standard is poor. In the biosynthesis process, the incubation time of the substances in each apparatus is fixed, and the substances must be transferred in time after the incubation time is over. Manual operation is difficult to accurately grasp each transfer node, and overtime transfer is likely to cause composition failure. (3) The synthesis accuracy is low. The biosynthesis processes have high similarity and are easy to be confused, so that the operation error rate is high.
Disclosure of Invention
The application aims to provide an automatic casting platform integrated system applied to synthetic biology and an automatic biosynthesis method, and aims to solve the problems that the existing biosynthesis process part still needs manual operation, so that the working efficiency is low, the operation normative is poor and the synthesis accuracy is low.
In order to achieve the purpose of the application, the technical scheme adopted by the application is as follows:
in a first aspect, the present application provides an automated casting platform integration system for synthetic biology, the system comprising a hardware subsystem and a software subsystem; wherein the hardware subsystem comprises a plurality of working devices, and the software subsystem comprises:
the client is used for receiving the biosynthesis process and writing the biosynthesis process into the server;
and the server is used for determining the working time sequences of the plurality of working devices according to the biosynthesis process, generating control instructions for the plurality of working devices according to the working time sequences, and transmitting the control instructions to the plurality of working devices so as to instruct the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
The application provides an automatic casting platform integrated system for synthetic biology can write the biosynthesis process into the server, and the server generates a control instruction according to the biosynthesis process, controls a plurality of working devices to automatically operate, and carries out biosynthesis. The method gets rid of the dependence of the operation part on people in the biosynthesis process, and improves the operation efficiency. Meanwhile, a plurality of working devices carry out automatic operation according to the operation instructions transmitted by the server, and can strictly operate according to the biosynthesis process steps and the time nodes corresponding to the steps, so that the standardization and timeliness of operation are improved, and the biosynthesis accuracy is improved.
The application provides an automatic casting platform integrated system for synthetic biology, can extensively apply to medical pharmacy, biochemical threat factor's early warning, diagnosis and treatment, crop's resistance, nitrogen fixation or photosynthetic property design, the industrial biological manufacturing of botanical chemicals, petrochemical, special material, new fuel, even design new cell that has specific function, improve synthetic biology high flux experimental operating efficiency and accuracy.
In some embodiments, the plurality of working devices includes a communication device, a material storage device, a material transfer device, and a biosynthesis device; wherein:
the communication equipment is used for receiving the control instruction and transmitting the control instruction to the material storage equipment, the material transfer equipment and the biosynthesis equipment;
a material storage device for storing raw materials required for biosynthesis;
the material transfer device is used for conveying the raw materials in the material storage device to the biosynthesis device according to the control instruction;
and the biosynthesis device is used for biosynthesizing the raw material according to the control instruction.
In some embodiments, the communication device is further configured to send the work data generated by the material storage device, the material transfer device, and the biosynthesis device during the biosynthesis process to the server.
In some embodiments, the server is further configured to send the working data to the client for a user to query for the working data.
In some embodiments, the hardware subsystem further comprises an auxiliary feedback device for recording device status of the plurality of working devices in performing the biosynthetic process.
In a second aspect, the present application provides an automated biosynthesis method applied to a server, the method comprising the steps of:
receiving a biosynthesis process sent by a client, and determining the working time sequence of a plurality of working devices according to the biosynthesis process;
and generating control instructions aiming at the working devices according to the working sequence, and transmitting the control instructions to a plurality of working devices so as to control the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
According to the automatic biosynthesis method, the server can be used for biosynthesizing the process, the work time sequence aiming at the plurality of working devices is intelligently generated according to the biosynthesizing process, the control instruction is generated according to the work time sequence, the plurality of working devices are directly controlled to biosynthesize, and automatic biosynthesis is achieved. The method can not only improve the operation efficiency of biosynthesis, but also improve the normative and timeliness of operation, thereby improving the accuracy of biosynthesis.
In some embodiments, the method further comprises:
and receiving the working information collected by the plurality of working devices and transmitted by the communication device, and sending the working information to the client.
In some embodiments, the method further comprises:
and updating the working data of the client according to the working information.
In a third aspect, the present application provides a server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the automated biosynthesis method according to the second aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the automated biosynthesis method according to the second aspect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic structural diagram of an integrated system of an automated casting platform for synthetic biology, according to an embodiment of the present application;
FIG. 2 is a logic diagram for remotely monitoring two automated biosynthetic systems integrated with a reference to the same Ethernet network according to one embodiment of the present application;
FIG. 3 is a logic diagram for data sharing and device sharing between different automated biosynthetic systems within the same Ethernet network according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an automated biosynthesis system including a plurality of working devices according to an embodiment of the present application;
FIG. 5 is a flow chart of steps of an automated biosynthetic method provided in an embodiment of the present application;
FIG. 6 is a schematic diagram illustrating a server reading operation information of a plurality of operation devices according to an embodiment of the present application;
FIG. 7 is a logic diagram of an automated biosynthetic method provided by an embodiment of the present application;
FIG. 8 is a schematic diagram of an automated biosynthetic apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application more clearly apparent, the present application is further described in detail below with reference to the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The terms "including," "comprising," and "having" are intended to be inclusive and mean "including, but not limited to," unless otherwise specifically indicated.
The term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and some or all of the steps may be executed in parallel or executed sequentially, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise.
With reference to fig. 1, the present application provides an automated casting platform integrated system for synthetic biology, hereinafter referred to as automated biosynthesis system 1, comprising a hardware subsystem 11 and a software subsystem 12; wherein, hardware subsystem 11 includes a plurality of working devices, and software subsystem 12 includes:
a client 121, configured to receive a biosynthesis procedure and write the biosynthesis procedure into the server 122;
and the server 122 is used for determining the working time sequences of the plurality of working devices according to the biosynthesis process, generating control instructions for the plurality of working devices according to the working time sequences, and transmitting the control instructions to the plurality of working devices so as to instruct the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
The automated biosynthesis system 1 according to the embodiment of the present application can write a biosynthesis procedure into the server 122, and the server 122 generates a control command according to the biosynthesis procedure to control a plurality of working devices to automatically operate for biosynthesis. The method gets rid of the dependence of the operation part on people in the biosynthesis process, and improves the operation efficiency. Meanwhile, a plurality of working devices perform automatic operation according to the operation instructions transmitted by the server 122, and can operate strictly according to the biosynthesis process steps and the time nodes corresponding to the steps, so that the standardization and timeliness of operation are improved, and the biosynthesis accuracy is improved.
The automatic biosynthesis system 1 provided by the application can be widely applied to early warning, diagnosis and treatment of medical pharmacy and biochemical threat factors, stress resistance, nitrogen fixation or photosynthetic property design of crops, industrial biological manufacturing of botanical chemicals, petrochemical products, special materials and new fuels, and even design of new cells with specific functions, so that the operating efficiency and the accuracy of a high-throughput test of synthetic organisms are improved.
The automated biosynthesis system 1 provided by the application comprises a hardware subsystem 11 and a software subsystem 12, wherein the software subsystem 12 controls the hardware subsystem 11 to carry out biosynthesis by sending a biosynthesis control instruction to the hardware subsystem 11. Specifically, the hardware subsystem 11 includes a plurality of working devices, and the software subsystem 12 sends a control command for biosynthesis, such as a working sequence command, to the plurality of working devices to instruct the plurality of working devices to perform biosynthesis according to the instruction of the control command.
Specifically, software subsystem 12 includes a client 121 for receiving a biosynthesis procedure entered by a user and writing the biosynthesis procedure to a server 122. In some embodiments, client 121 includes entry software for entering a user-designed biosynthesis procedure.
In some embodiments, the client 121 includes scheduling algorithm software, and when the biosynthesis process includes workflows at different time nodes for a plurality of working devices, the client 121 is further configured to input the workflows at the different time nodes for the plurality of working devices into the scheduling algorithm software for analysis, so as to determine an optimal operation process of the plurality of working devices, ensure that the plurality of working devices achieve maximum economic utility, and improve the biosynthesis efficiency of the plurality of working devices.
In some embodiments, the client 121 is further configured to receive the work data sent by the server 122, which is generated in the biosynthesis process from a plurality of work devices. The user can obtain the working data generated by the plurality of working devices in the biosynthesis process by querying the client 121. In some embodiments, the client 121 may also store the working data. In this case, the user can obtain real-time working data and historical working data generated by a plurality of working devices in the biosynthesis process by querying the client 121 so as to perform data analysis.
In some embodiments, the client 121 is an OPC-UA ("OLE (Object Linking and Embedding) for Process Control-Unified Architecture" abbreviation, meaning "Unified Architecture for Object Linking and embedded Process Control") client 121. In this case, when a plurality of automated biosynthesis systems 1 are integrated in the same network, a user can perform data reading and writing operations on the servers 122 in other automated biosynthesis systems 1 through the client 121 in one of the software subsystems 12, that is, read all information of the automated biosynthesis system 1 and the operation instruction of the writing device, thereby implementing data sharing and device sharing between different automated biosynthesis systems 1. Illustratively, as shown in fig. 2, two automated biosynthesis systems 1 integrated by the same ethernet network are named as an automated biosynthesis system 1A and an automated biosynthesis system 1B, respectively, and a user can remotely query the working data of each automated biosynthesis system in the same ethernet environment through any client 121, and further, the working data can be stored so as to perform data analysis on the historical working data of each automated biosynthesis system. Exemplarily, as shown in fig. 3, two automated biosynthesis systems 1 integrated on the same ethernet are respectively named as an automated biosynthesis system 1A and an automated biosynthesis system 1B, and a user can perform data reading and writing operations on a server 122 of the automated biosynthesis system 1B through a client 121 of the automated biosynthesis system 1A, read all information of the automated biosynthesis system 1B and write an operation instruction of a device, and further implement data sharing and device sharing between different automated biosynthesis systems; of course, the user may also perform data reading and writing operations on the server 122 of the automated biosynthesis system 1A through the client 121 of the automated biosynthesis system 1B, read all information of the automated biosynthesis system 1A and the operation instruction of the writing device, and further implement data sharing and device sharing between different automated biosynthesis systems.
The software subsystem 12 further includes a server 122, the server 122 determining the operational timing of the plurality of operational devices according to the biosynthesis process. In one possible embodiment, the server 122 includes a control module for determining the working timing of the plurality of working devices according to the biosynthesis process, and generating control instructions for the plurality of working devices according to the working timing. In some embodiments, the control module includes a logic control sub-module and a data processing sub-module. In some embodiments, the logic control sub-module is configured to perform logic analysis on the workflow and time nodes of the plurality of working devices involved in the biosynthesis process, determine a working sequence of the plurality of working devices according to a result of the logic analysis, and send the working sequence to the data processing sub-module. Illustratively, the data analysis includes: the method comprises the steps of analyzing the working process and time nodes of the same working device, analyzing the working sequence of a plurality of working devices, analyzing the working duration of the plurality of working devices and the like. In some embodiments, the data processing sub-module is used for processing the work sequence in an informationization mode, and generating the work sequence into control instructions for a plurality of pieces of work equipment. Illustratively, the data processing submodule is used for performing informatization processing on the working time sequence and converting the working time sequence into a control instruction of a binary code. In this case, the researcher can perform complex experimental process planning and drive multiple working devices for biosynthesis only through the software subsystem 12.
In one possible embodiment, server 122 is further configured to receive work data generated by a plurality of work devices during the biosynthesis process. In some embodiments, server 122 is also configured to store the working data to facilitate the user to recall the historical data directly through the server.
In a possible embodiment, the server 122 is further configured to send the working data generated by the plurality of working devices in the biosynthesis process to the client 121, so that the user can query the client 121 for the working data. Illustratively, the server 122 includes a control module, which is further configured to send work data generated by a plurality of work devices during the biosynthesis process to the client 121. In some embodiments, the control module includes a logic control sub-module and a data processing sub-module. The data processing sub-module is configured to perform informatization processing on working data generated by the plurality of working devices during the biosynthesis process, convert the secondary system code into text information, and send the text information to the server 122 for storage.
In some embodiments, client 121 is an OPC-UA client and server 122 is an OPC-UA server, thereby enabling data sharing for multiple automated biosynthetic systems within the same ethernet. In addition, equipment sharing among different automatic biological synthesis systems can be realized.
In one possible embodiment, the software subsystem 12 further comprises: a driving protocol.
As shown in FIG. 4, in one possible embodiment, the plurality of working devices includes a communication device 114, a material storage device 111, a material transfer device 112, and a biosynthesis device 113; wherein:
a communication device 114 for receiving the control command sent by the server 122 and transmitting the control command to the material storage device 111, the material transfer device 112 and the biosynthesis device 113;
a material storage device 111 for storing raw materials required for biosynthesis;
a material transfer device 112 for transferring the raw material in the material storage device 111 to the biosynthesis device 113 according to a control instruction;
a biosynthesis device 113 for performing biosynthesis of the raw material according to the control instruction.
In this case, the material transfer apparatus 112, upon receiving the control instruction transmitted from the server 122 via the communication apparatus 114, transfers the raw material in the material storage apparatus 111 to the biosynthesis apparatus 113 in accordance with the flow setting and time node in the operation sequence; the biosynthesis device 113, upon receiving the control command transmitted from the server 122 via the communication device 114, biosynthesizes the raw material according to the process steps in the operation sequence.
In one possible embodiment, the communication device 114 is further configured to send the work data generated by the material storage device 111, the material transfer device 112, and the biosynthesis device 113 during the biosynthesis process to the server 122, so as to ensure the accuracy of the biosynthesis process. In some embodiments, the communication device 114 is a gateway or a wireless router.
In one possible embodiment, at least the biosynthesis device 113 of the plurality of operation devices comprises an information collecting and feedback device for collecting operation information (including operation data information and operation status information) generated by the biosynthesis device 113 during the biosynthesis process and transmitting the operation information to the server 122 through the communication device 114, so as to ensure the correct process and confirm the operation status of the biosynthesis device 113.
In one possible embodiment, the biosynthesis device 113 and the material transfer device 112 in the plurality of working devices respectively comprise information collecting and feedback devices, and the data collecting and feedback devices in the biosynthesis device 113 are used for collecting working information (including working data information and working state information) generated by the biosynthesis device 113 in the biosynthesis process, and transmitting the working information to the server 122 through the communication device 114 to ensure the correct process and confirm the working state of the biosynthesis device 113; the information collecting and feedback device in the material transferring device 112 is used for collecting the working information of the material transferring device 112 during the material transferring process, and transmitting the working information to the server 122 through the communication device 114, so as to ensure the correct flow and confirm the working state of the material transferring device 112. In some embodiments, the operational information during the material transfer process includes: information on whether the raw material transfer work of the material transfer apparatus 112 is started or completed, information on the conveyance type of the raw material in the material transfer apparatus 112, and information on the conveyance speed, but is not limited thereto.
In one possible embodiment, the material storage device 111, the material transfer device 112, and the biosynthesis device 113 each include an information collecting and feedback device for collecting the working information (including working data information and working status information) generated by the material storage device 111, the material transfer device 112, and the biosynthesis device 113 during the biosynthesis process and feeding back the working information to the server 122 through the communication device 114 to ensure the correct process.
In a possible embodiment, the hardware subsystem 11 further comprises an auxiliary feedback device for recording the device status of a plurality of working devices in the biosynthesis process to help the user know the working status of the working devices in time.
In some embodiments, the auxiliary feedback device comprises a sensor and/or a camera, wherein the sensor is used for recording the photoelectric state of the plurality of working devices to determine the switch state of the plurality of working devices; the camera is used for recording the visual identification image so as to determine the working states of the plurality of working devices in the biosynthesis process.
The automated biosynthesis system 1 provided in the embodiment of the present application can intelligently generate the working timing sequences of a plurality of working devices according to a biosynthesis process, dynamically collect and analyze data of the plurality of working devices in a biosynthesis process, and can also implement data sharing and device sharing among a plurality of automated biosynthesis systems within the same ethernet.
With reference to fig. 5, the present application provides an automated biosynthesis method, applied to the server of the foregoing system embodiment, the method includes the following steps:
s501, receiving a biosynthesis process sent by a client, and determining the working time sequence of the working equipment according to the biosynthesis process.
In one possible embodiment, the receiving of the biosynthesis process sent by the client is performed by: and the client receives the biosynthesis process input by the user and writes the biosynthesis process into the server.
In some embodiments, the client includes scheduling algorithm software, the biosynthesis process includes workflows at different time nodes for a plurality of working devices, and the receiving the biosynthesis process sent by the client includes: the client receives the biosynthesis process, and inputs the work processes of the plurality of working devices at different time nodes in the biosynthesis process into scheduling algorithm software for analysis so as to determine the optimal operation process of the plurality of working devices, ensure that the plurality of working devices achieve the maximum economic utility and improve the biosynthesis efficiency of the plurality of working devices.
In one possible embodiment, determining the operational timing of the work device according to the biosynthetic pathway includes: and performing logic analysis according to the biosynthesis process, and determining the working time sequences of a plurality of working devices and the process time nodes of a single working device according to the logic analysis result.
In some embodiments, the server includes a control module, the control module includes a logic control sub-module and a data processing sub-module, the biosynthesis process includes workflows and time nodes of a plurality of working devices, and at this time, determining the working sequence of the working devices according to the biosynthesis process includes: and the logic control sub-module performs logic analysis according to the work flows and the time nodes of the plurality of working devices and determines the working time sequences of the plurality of working devices according to the logic analysis result.
S502, generating control instructions aiming at the plurality of working devices according to the working sequence, and transmitting the control instructions to the plurality of working devices so as to control the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
In one possible implementation, generating the control instruction according to the working timing comprises: and performing informatization processing on the working time sequence, and converting the working time sequence into a control instruction of a secondary system code.
In some embodiments, the server includes a control module including a logic control sub-module and a data processing sub-module. Generating a control instruction for the working sequence, comprising: and the data processing submodule performs informatization processing on the working time sequence and converts the working time sequence into a control instruction of a secondary system code.
In one possible embodiment, the sending of the control instructions to the plurality of working devices comprises: and sending the control instruction to the communication equipment, transmitting the control instruction to the plurality of working equipment by the communication equipment, and performing biosynthesis according to the instruction of the control instruction after the working equipment receives the control instruction.
In one possible embodiment, the automated biosynthetic method further comprises:
and receiving the working information collected by the plurality of working devices transmitted by the communication device, and sending the working information to the client.
The operation information includes operation state information and/or operation data information.
As shown in fig. 6, the sources of the operation information of the operating devices include two modes according to the different feedback information modes of the plurality of operating devices. In one possible embodiment, the working device is a working device capable of autonomously feeding back data, in which case the working device collects working information through the data collection device and transmits the working information to the server through the communication device. This approach is also referred to as background listening mode. In one possible embodiment, the working devices are working devices which can not autonomously feed back data, in this case, the server generates inquiry commands in the biosynthesis process for the plurality of working devices according to expected inquiry requirements, transmits the inquiry commands to the plurality of working devices through the communication device to inquire working information of the plurality of working devices in the biosynthesis process, and the working devices collect the working information according to the inquiry commands and transmit the working information to the server through the communication device. This approach is also referred to as a scanning polling mode.
In some embodiments, the server includes a control module including a logic control sub-module and a data processing sub-module. Receive the work information that a plurality of working equipment of communication equipment transmission gathered to with work information send to the customer end, include: the communication equipment transmits the working information of the working equipment in the biosynthesis process to the data processing submodule, the data processing submodule performs informatization processing on the working data, the working data is converted into character information from a secondary system code, and the character information is sent to the server for storage.
In one possible embodiment, the automated biosynthetic method further comprises:
and updating the working data of the client according to the working information.
In one possible embodiment, the work information includes work status information and/or work data, and the updating the work data of the client according to the work information includes:
and screening the working information according to the working information and the expected data type, determining working data according to a screening result, and sending the working data to the client for the user to inquire.
In one possible implementation, as shown in fig. 7, an automated biosynthesis method is applied to the server of the foregoing system embodiment, and the method includes the following steps: receiving a biosynthesis process designed by a user through a client, and determining the working time sequence of the working equipment according to the biosynthesis process; generating control instructions aiming at the plurality of working devices according to the working sequence, and transmitting the control instructions to the hardware subsystem so as to control the plurality of working devices in the hardware subsystem to carry out biosynthesis according to the instructions of the control instructions; and receiving the work information fed back by the plurality of work devices in the hardware subsystem.
According to the automatic biosynthesis method provided by the embodiment of the application, a server can be used for biologically synthesizing a process, the working time sequence aiming at a plurality of working devices is intelligently generated according to the biologically synthesizing process, a control instruction is generated according to the working time sequence, the plurality of working devices are directly controlled to carry out biological synthesis, and automatic biological synthesis is realized. The method can not only improve the operation efficiency of biosynthesis, but also improve the normative and timeliness of operation, thereby improving the accuracy of biosynthesis.
Referring to FIG. 8, a schematic diagram of an automated biosynthesis apparatus 800 according to an embodiment of the present application, which may be used in the server according to the foregoing system embodiments and method embodiments, is shown, and the apparatus includes the following modules:
a receiving module 810, configured to receive a biosynthesis process sent by a client;
a control module 820, configured to determine working time sequences of the plurality of working devices according to the biosynthesis process, and generate control instructions for the plurality of working devices according to the working time sequences;
and the conveying module 830 is configured to convey the control instruction to the plurality of working devices to control the plurality of working devices to perform biosynthesis according to the instruction of the control instruction.
In a possible implementation manner, the receiving module 810 is further configured to receive work information collected by a plurality of pieces of work equipment transmitted by the communication equipment, and send the work information to the client.
In a possible implementation manner, the apparatus further includes an updating module, configured to update the working data of the client according to the working information.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to the description of the method embodiment section for relevant points.
Referring to fig. 9, a schematic diagram of a server of one embodiment of the present application is shown. As shown in fig. 9, the server 900 of the present embodiment includes: a processor 910, a memory 920, and a computer program 921 stored in the memory 920 and operable on the processor 910. The steps in the various embodiments of the illumination control method described above, such as steps S501 to S502 shown in fig. 5, are implemented when the processor 910 executes the computer program 921.
Illustratively, the computer program 921 may be divided into one or more modules/units, which are stored in the memory 920 and executed by the processor 910 to accomplish the present application. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions that may be used to describe the execution of computer program 921 in server 900. For example, the computer program 921 may be divided into a receiving module, a control module, and a delivery module, each module having the following specific functions:
the receiving module is used for receiving the biosynthesis process sent by the client;
the control module is used for determining the working time sequences of the plurality of working devices according to the biosynthesis process and generating control instructions for the plurality of working devices according to the working time sequences;
and the conveying module is used for conveying the control instruction to the plurality of working devices so as to control the plurality of working devices to carry out biosynthesis according to the instruction of the control instruction.
In one embodiment, the receiving module is further configured to receive work information collected by a plurality of pieces of work equipment transmitted by the communication equipment, and send the work information to the client.
In one embodiment, the apparatus includes an update module for updating the working data of the client according to the working information.
The server 900 may include, but is not limited to, a processor 910, a memory 920. Those skilled in the art will appreciate that fig. 9 is merely an example of a server 900 and is not intended to be limiting with respect to server 900, and may include more or less components than those shown, or some components may be combined, or different components, e.g., server 900 may also include input-output devices, network access devices, buses, etc.
The Processor 910 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 920 may be an internal storage unit of the server 900, such as a hard disk or a memory of the server 900. The memory 920 may also be an external storage device of the server 900, such as a plug-in hard disk provided on the server 900, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so on. Further, the memory 920 may also include both internal storage units of the server 800 and external storage devices. The memory 920 is used to store the computer program 921 and other programs and data required by the server 900. The memory 920 may also be used to temporarily store data that has been output or is to be output.
Embodiments of the present application also provide a computer-readable storage medium storing a computer program, which when executed by a processor implements the automated biosynthesis method of the foregoing method embodiments.
Embodiments of the present application also provide a computer program product, which, when run on a terminal device, causes the terminal device to perform the automated biosynthesis of the aforementioned method embodiments.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.

Claims (10)

1. An automated casting platform integration system for synthetic biology, the system comprising a hardware subsystem and a software subsystem; wherein the hardware subsystem comprises a plurality of working devices, and the software subsystem comprises:
the client is used for receiving the biosynthesis process and writing the biosynthesis process into the server;
and the server is used for determining the working time sequences of the plurality of working devices according to the biosynthesis process, generating control instructions for the plurality of working devices according to the working time sequences, and transmitting the control instructions to the plurality of working devices so as to instruct the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
2. The integrated system of automated casting platform for synthetic biology according to claim 1, wherein the plurality of working devices comprise communication devices, material storage devices, material transfer devices, and biosynthesis devices; wherein:
the communication equipment is used for receiving a control instruction sent by the server and transmitting the control instruction to the material storage equipment, the biosynthesis equipment and the material transfer equipment;
a material storage device for storing raw materials required for biosynthesis;
the material transfer device is used for conveying the raw materials in the material storage device to the biosynthesis device according to the control instruction;
and the biosynthesis device is used for biosynthesizing the raw material according to the control instruction.
3. The integrated system of automated casting platform for synthetic biology according to claim 2, wherein the communication device is further configured to transmit the working data generated by the material storage device, the biosynthesis device, and the material transfer device during biosynthesis to the server.
4. The automated casting platform integration system for synthetic biology according to any one of claim 3, wherein the server is further configured to send the working data to the client for a user to query the working data.
5. The integrated system of an automated casting platform for synthetic biology according to any one of claims 1 to 4, wherein the hardware subsystem further comprises an auxiliary feedback device for recording device status of the plurality of working devices during the course of biosynthesis.
6. An automated biosynthesis method applied to a server, the method comprising the steps of:
receiving a biosynthesis process sent by a client, and determining the working time sequence of a plurality of working devices according to the biosynthesis process;
and generating control instructions aiming at the plurality of working devices according to the working time sequence, and transmitting the control instructions to the plurality of working devices so as to control the plurality of working devices to carry out biosynthesis according to the instructions of the control instructions.
7. The automated biosynthetic method of claim 6, further comprising:
and receiving the working information collected by the plurality of working devices and transmitted by the communication device, and sending the working information to the client.
8. The automated biosynthesis method of claim 7, wherein the method further comprises:
and updating the working data of the client according to the working information.
9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 6 to 8 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 6 to 8.
CN202010757833.8A 2020-07-31 2020-07-31 Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method Active CN111966063B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202010757833.8A CN111966063B (en) 2020-07-31 2020-07-31 Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method
PCT/CN2020/129562 WO2022021679A1 (en) 2020-07-31 2020-11-17 Automatic casting platform integrated system applied to synthetic biology, and automatic biosynthesis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010757833.8A CN111966063B (en) 2020-07-31 2020-07-31 Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method

Publications (2)

Publication Number Publication Date
CN111966063A true CN111966063A (en) 2020-11-20
CN111966063B CN111966063B (en) 2021-07-30

Family

ID=73364117

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010757833.8A Active CN111966063B (en) 2020-07-31 2020-07-31 Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method

Country Status (2)

Country Link
CN (1) CN111966063B (en)
WO (1) WO2022021679A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115239179A (en) * 2022-08-05 2022-10-25 卡奥斯化智物联科技(青岛)有限公司 Chemical production operation flow system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104898438A (en) * 2015-04-30 2015-09-09 广东美的制冷设备有限公司 Household electrical appliance control method and apparatus, and terminal
CN105163875A (en) * 2013-03-14 2015-12-16 净蓝技术股份有限公司 Apparatus, system, and method for processing materials
CN106707973A (en) * 2015-11-17 2017-05-24 发那科株式会社 Sequence-control programming apparatus, sequence-control programming method, and operating system
CN107561958A (en) * 2016-06-30 2018-01-09 阿里巴巴集团控股有限公司 A kind of data method, device and system
CN108089468A (en) * 2018-01-11 2018-05-29 尚健静 A kind of medical examination equipment control sequential visualized generation method
US20180224809A1 (en) * 2017-02-08 2018-08-09 Yokogawa Electric Corporation Event analyzing device, event analyzing system, event analyzing method, and non-transitory computer readable storage medium
EP3367188A1 (en) * 2017-02-28 2018-08-29 Siemens Aktiengesellschaft Method for operating an engineering system for an industrial process automation system and control program
CN110361993A (en) * 2019-07-19 2019-10-22 广州华农大智慧农业科技有限公司 A kind of decontamination workplace decontamination system and pre-warning and control method based on timing control
CN111026043A (en) * 2019-06-14 2020-04-17 天津赛瑞多肽科技有限公司 Multitask shared remote polypeptide synthesis control system, method and application
CN111352355A (en) * 2018-12-20 2020-06-30 美的集团股份有限公司 Cooking method, apparatus, system and medium

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8380975B2 (en) * 2006-06-13 2013-02-19 Siemens Industry, Inc. Safety data writes
CN105701593A (en) * 2015-11-09 2016-06-22 杭州优稳自动化系统有限公司 Recipe function module integrating product batch operation, monitoring and maintenance
CN108229833A (en) * 2018-01-17 2018-06-29 北京和利时智能技术有限公司 A kind of food medicine batch production method and software systems based on SCADA
CN111090263B (en) * 2018-10-23 2023-11-28 杨宇 Customized intelligent production line control system and control method
CN109978096B (en) * 2019-03-29 2022-05-03 西安精雕软件科技有限公司 Electrode automated production and warehouse management system
CN111047166A (en) * 2019-11-29 2020-04-21 深圳市智微智能软件开发有限公司 MES customer interaction method and system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105163875A (en) * 2013-03-14 2015-12-16 净蓝技术股份有限公司 Apparatus, system, and method for processing materials
CN104898438A (en) * 2015-04-30 2015-09-09 广东美的制冷设备有限公司 Household electrical appliance control method and apparatus, and terminal
CN106707973A (en) * 2015-11-17 2017-05-24 发那科株式会社 Sequence-control programming apparatus, sequence-control programming method, and operating system
CN107561958A (en) * 2016-06-30 2018-01-09 阿里巴巴集团控股有限公司 A kind of data method, device and system
US20180224809A1 (en) * 2017-02-08 2018-08-09 Yokogawa Electric Corporation Event analyzing device, event analyzing system, event analyzing method, and non-transitory computer readable storage medium
EP3367188A1 (en) * 2017-02-28 2018-08-29 Siemens Aktiengesellschaft Method for operating an engineering system for an industrial process automation system and control program
CN108089468A (en) * 2018-01-11 2018-05-29 尚健静 A kind of medical examination equipment control sequential visualized generation method
CN111352355A (en) * 2018-12-20 2020-06-30 美的集团股份有限公司 Cooking method, apparatus, system and medium
CN111026043A (en) * 2019-06-14 2020-04-17 天津赛瑞多肽科技有限公司 Multitask shared remote polypeptide synthesis control system, method and application
CN110361993A (en) * 2019-07-19 2019-10-22 广州华农大智慧农业科技有限公司 A kind of decontamination workplace decontamination system and pre-warning and control method based on timing control

Also Published As

Publication number Publication date
CN111966063B (en) 2021-07-30
WO2022021679A1 (en) 2022-02-03

Similar Documents

Publication Publication Date Title
Eren et al. Community-led, integrated, reproducible multi-omics with anvi’o
US7491367B2 (en) System and method for providing a standardized state interface for instrumentation
EP3371294B1 (en) Networked incubator operation
CN102667649A (en) Multi-processor based programmable logic controller and method for operating the same
CN111966063B (en) Automatic casting platform integrated system applied to synthetic biology and automatic biological synthesis method
Găitan et al. Experimental implementation and performance evaluation of an IoT access gateway for the modbus extension
US12013858B2 (en) Associating comments with tags in a managed historian system
CN115718461B (en) High-flux flexible automatic control management system
US7643888B2 (en) Control apparatus
Sauls et al. Mother machine image analysis with MM3
CN100514319C (en) Transfer acknowledgement for a mobile scalable link (MSL) architecture
CN103081412A (en) Programmable logic controller
Parks et al. Internet of things architecture for high throughput biology
CN114326510A (en) Serial port based IO communication method for industrial robot controller
Cousin et al. IoT, an affordable technology to empower Africans addressing needs in Africa
Bonanni et al. A Deep Learning Approach to Optimize Recombinant Protein Production in Escherichia coli Fermentations
Collado-Vides et al. Missing links between gene function and physiology in genomics
Tran et al. CLB-Based Development of BiSS-C Interface Master for Motor Encoders
Saier Jr et al. The bioinformatic study of transmembrane molecular transport
Li et al. Research on Integrated Technology of Synthetic Biology Automated Casting Platform
Bultelle et al. Engineering biology and automation–Replicability as a design principle
CN204791128U (en) Swine feeding information management system based on wireless radio frequency identification technology
Tegeltija et al. One Solution of Low-Cost Modular Control Device based on IoT
Song et al. Resource-saving customizable pipeline network architecture for multi-signal processing in edge devices
Klingström et al. The infrastructure for cattle data at the Swedish university of agricultural sciences, Gigacow

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant