CN111842922A - Material synthesis parameter adjusting method and device, computer equipment and storage medium - Google Patents

Material synthesis parameter adjusting method and device, computer equipment and storage medium Download PDF

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CN111842922A
CN111842922A CN202010500451.7A CN202010500451A CN111842922A CN 111842922 A CN111842922 A CN 111842922A CN 202010500451 A CN202010500451 A CN 202010500451A CN 111842922 A CN111842922 A CN 111842922A
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attribute
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徐曜
朱熹
陆一骅
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Shenzhen Institute of Artificial Intelligence and Robotics
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Abstract

The application relates to a material synthesis parameter adjusting method, a material synthesis parameter adjusting device, computer equipment and a storage medium. The method comprises the following steps: acquiring a material synthesis task, wherein the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier; acquiring corresponding original synthesis parameters according to the material identification; obtaining a material to be synthesized according to the original synthesis parameters, and carrying out synthesis operation on the material to be synthesized to obtain a synthetic material; detecting the attribute of the synthetic material to obtain the attribute of the synthetic material corresponding to the synthetic material; and comparing the attributes of the synthetic material with the attributes of the target material, and adjusting the original synthetic parameters according to the attribute comparison result to obtain the target synthetic parameters corresponding to the material identification. By adopting the method, the parameter adjusting efficiency for adjusting the material synthesis parameters to meet the material attribute requirements can be effectively improved.

Description

Material synthesis parameter adjusting method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for adjusting material synthesis parameters, a computer device, and a storage medium.
Background
The material is the material basis of production and life, and the material innovation is one of the important driving forces for promoting the technology development. With the development of science and technology, new materials such as microelectronics, photoelectrons, nano materials and the like are widely applied to different fields. The requirements of different application fields for the performance properties of materials are different, and the properties of materials are determined to a large extent by parameters in the synthesis process of the materials.
In the conventional method, in order to obtain a material meeting the required properties of an application, experimenters usually adjust the synthesis parameters of the material repeatedly by depending on personal experience during the experiment based on trial and error. The efficiency of searching for the material synthesis parameters meeting the material attribute requirements through a large number of manual experiments and adjusting the material synthesis parameters to meet the material attribute requirements is low.
Disclosure of Invention
In view of the above, it is necessary to provide a material synthesis parameter adjustment method, device, computer device, and storage medium capable of improving the adjustment efficiency of material synthesis parameters.
A method of material synthesis parameter adjustment, the method comprising:
acquiring a material synthesis task, wherein the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier;
Acquiring corresponding original synthesis parameters according to the material identification;
obtaining a material to be synthesized according to the original synthesis parameters, and carrying out synthesis operation on the material to be synthesized to obtain a synthetic material;
detecting the attribute of the synthetic material to obtain the attribute of the synthetic material corresponding to the synthetic material;
and comparing the attributes of the synthetic material with the attributes of the target material, and adjusting the original synthetic parameters according to the attribute comparison result to obtain the target synthetic parameters corresponding to the material identification.
In one embodiment, the obtaining of the corresponding original synthesis parameters according to the material identifier includes:
acquiring material information and historical experimental data corresponding to the material identification;
verifying the target material attribute according to the material information and the historical experimental data;
and when the verification is successful, acquiring the original synthesis parameters corresponding to the material identification from the historical experimental data.
In one embodiment, after said attribute comparing said synthetic material attribute to said target material attribute, said method further comprises:
determining a parameter to be adjusted corresponding to the target material attribute from the original synthesis parameters;
Determining an adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result, and adjusting the parameter to be adjusted according to the adjustment weight to obtain an adjusted synthesis parameter;
and repeating the steps of obtaining the material to be synthesized according to the adjusted synthesis parameters and carrying out synthesis operation on the material to be synthesized until a preset completion condition is met.
In one embodiment, the obtaining of the material to be synthesized according to the original synthesis parameters includes:
receiving a synthesis control instruction sent by a terminal, wherein the synthesis control instruction carries parameter correction information;
correcting the original synthesis parameters according to the parameter correction information to obtain corrected synthesis parameters;
and synthesizing the material to be synthesized according to the corrected synthesis parameters.
In one embodiment, the obtaining the material to be synthesized according to the original synthesis parameters includes:
acquiring injection control parameters corresponding to the injection pump from the original synthesis parameters;
acquiring a standard instruction corresponding to the injection pump from an instruction library;
and generating an injection control instruction according to the injection control parameter and the standard instruction, and controlling the injection pump to execute corresponding injection operation according to the injection control parameter through the injection control instruction to obtain the material to be synthesized.
In one embodiment, the performing attribute detection on the composite material to obtain the composite material attribute corresponding to the composite material includes:
acquiring material spectrum data corresponding to the synthetic material;
acquiring environmental spectrum data corresponding to the synthetic material, and correcting the material spectrum data according to the environmental spectrum data to obtain target spectrum data;
and determining the synthetic material attribute corresponding to the synthetic material according to the target spectrum data.
In one embodiment, after the adjusting the original synthesis parameters according to the attribute comparison result to obtain target synthesis parameters corresponding to the material identifier, the method further includes:
acquiring current experimental data corresponding to the synthetic material;
acquiring an experimental data identifier corresponding to the current experimental data;
uploading the current experimental data to a server, so that the server stores the current experimental data to obtain a storage address of the current experimental data;
and uploading the experimental data identification and the storage address to a target block in a block chain.
A material synthesis parameter adjustment apparatus, the apparatus comprising:
The parameter acquisition module is used for acquiring a material synthesis task, wherein the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier; acquiring corresponding original synthesis parameters according to the material identification;
the material synthesis module is used for obtaining a material to be synthesized according to the original synthesis parameters and carrying out synthesis operation on the material to be synthesized to obtain a synthetic material;
the attribute detection module is used for carrying out attribute detection on the synthetic material to obtain the synthetic material attribute corresponding to the synthetic material;
and the parameter adjusting module is used for comparing the synthetic material attribute with the target material attribute, and adjusting the original synthetic parameter according to an attribute comparison result to obtain a target synthetic parameter corresponding to the material identifier.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the material synthesis parameter adjustment method described above when the computer program is executed.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned material synthesis parameter adjustment method.
According to the material synthesis parameter adjusting method, the material synthesis parameter adjusting device, the computer equipment and the storage medium, the corresponding original synthesis parameters are obtained through the material identification carried by the material synthesis task; the method comprises the steps of obtaining a material to be synthesized according to original synthesis parameters, carrying out synthesis operation on the material to be synthesized, carrying out material synthesis experiment according to the original synthesis parameters to obtain a synthetic material, avoiding the influence of uncertain factors in manual experiment on the material synthesis experiment, and simultaneously saving experiment time of experimenters in a large amount. The method has the advantages that the synthetic material is subjected to attribute detection, the synthetic material attribute corresponding to the synthetic material is subjected to attribute comparison with the target material attribute, the original synthetic parameter is adjusted according to the attribute comparison result, the target synthetic parameter corresponding to the material identifier is obtained, a large number of repeated manual experiments are not needed, the original synthetic parameter is adjusted more accurately through the attribute comparison result, and the parameter adjustment efficiency for adjusting the material synthetic parameter to meet the material attribute requirement is effectively improved.
Drawings
FIG. 1 is a diagram of an exemplary environment for adjusting material synthesis parameters;
FIG. 2 is a schematic flow chart illustrating a method for adjusting material synthesis parameters according to one embodiment;
FIG. 3 is a schematic flow chart of a method for adjusting material synthesis parameters according to another embodiment;
FIG. 4 is a schematic flow chart of a method for adjusting material synthesis parameters according to yet another embodiment;
FIG. 5 is a block diagram showing the structure of a material composition parameter adjusting apparatus according to an embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and 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.
The method for adjusting the material synthesis parameters can be applied to the application environment shown in fig. 1. Wherein the terminal 102, the material composition system 104, and the server 106 communicate over a network. The material synthesis system 104 obtains a material synthesis task through the terminal 102 or the server 106, where the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier. The material synthesis system 104 obtains corresponding original synthesis parameters according to the material identifier, obtains a material to be synthesized according to the original synthesis parameters, and performs synthesis operation on the material to be synthesized to obtain a synthesized material. The material synthesis system 104 performs attribute detection on the synthetic material to obtain synthetic material attributes corresponding to the synthetic material, performs attribute comparison on the synthetic material attributes and target material attributes, and adjusts the original synthesis parameters according to the attribute comparison result to obtain target synthesis parameters corresponding to the material identifier.
The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the material synthesizing system 104 may specifically include, but is not limited to, a processor, a memory, a detector, a synthesizing controller, a synthesizing reactor, a material bin to be synthesized, a material selector, and the like. The processor may be configured to execute a computer program in the memory to implement the steps of the material synthesis parameter adjustment method described above. The synthesis controller can control the material selector to obtain the material to be synthesized from the material bin to be synthesized according to the processor, and the synthesis reactor is used for synthesizing the material to be synthesized to obtain the synthetic material. The detector is used for detecting the property of the composite material. The server 106 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a method for adjusting material synthesis parameters is provided, which is illustrated by applying the method to the material synthesis system 104 in fig. 1, and includes the following steps:
step 202, a material synthesis task is obtained, where the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier.
The material synthesis task is used for indicating the material synthesis system to synthesize the material, so that the material synthesis parameters during material synthesis are adjusted, and the material meeting the actual application requirements can be synthesized conveniently according to the adjusted material synthesis parameters. The material synthesis task can be sent to the material synthesis system through a terminal corresponding to a user when the user needs to optimize and adjust material synthesis parameters, or the material synthesis task can be sent to the material synthesis system by the server according to actual operation requirements. The material synthesis system can analyze the obtained material synthesis task to obtain a material identifier carried by the material synthesis task and a target material attribute corresponding to the material identifier.
The material identification refers to identification information uniquely corresponding to a material to be synthesized, and the material identification can be any one or a combination of multiple kinds of identification information. Plural means two or more. For example, the material identifier may be one or a combination of multiple kinds of identification information, such as a material name, a material number, or a material classification number, corresponding to the material to be synthesized. The material synthesis system may determine which material needs to be synthesized by the material identification. The target material property refers to a material property of an actual demand. The material synthesis system carries out a material synthesis task, carries out a material synthesis experiment, and adjusts material synthesis parameters, so that the material synthesis operation is carried out through the adjusted material synthesis parameters, and the material meeting the target material property can be obtained.
And step 204, acquiring corresponding original synthesis parameters according to the material identification.
The original synthesis parameters refer to parameters which are not adjusted before the material synthesis system carries out initial material synthesis operation according to the material synthesis task and adjusts the material synthesis parameters. For materials marked by different material identifications, the respective corresponding synthesis modes, the materials to be synthesized and the like are different. Therefore, the original synthesis parameters are uniquely corresponding to the material identifications, and the material synthesis system can perform synthesis operation according to the original synthesis parameters to obtain the materials corresponding to the material identifications. It will be appreciated that for the same material identification, the corresponding original synthesis parameters are those parameters that have not been adjusted by the material synthesis system in accordance with the current material synthesis task. The raw synthesis parameters may be the synthesis parameters adjusted from the non-optimized state, the synthesis parameters adjusted by another material synthesis system, a user terminal, a server, or the like, or the synthesis parameters adjusted by the material synthesis system based on the historical material synthesis task.
The material synthesis system may obtain the original synthesis parameters corresponding to the material identifier in a variety of ways. Specifically, the material synthesis system may search in the material synthesis database according to the material identifier, and search whether a material synthesis mode corresponding to the material identifier exists in the material synthesis database, where the material synthesis mode includes a material synthesis parameter for performing a material synthesis operation. The material synthesis parameters may be initial default parameters. And when the material synthesis system finds the material synthesis parameters corresponding to the material identification, determining the material synthesis parameters in the material synthesis database as the original synthesis parameters. The material synthesis database may be preset according to material synthesis knowledge, and may include synthesis parameters corresponding to a plurality of materials.
The material corresponding to the material identifier may be synthesized by the material synthesis system or adjusted according to the material synthesis parameters, and therefore, the material synthesis system may also search whether the material synthesis database includes the historical experimental data corresponding to the material identifier. When historical experimental data corresponding to the material identification is included, the material synthesis system may obtain the original synthesis parameters corresponding to the material identification from the historical experimental data. The original synthesis parameters obtained from the historical experimental data may be material synthesis parameters adjusted according to the historical synthesis experiments.
The material synthesis system can also generate a parameter acquisition request according to the material identifier, send the parameter acquisition request to a server corresponding to the material synthesis system, and acquire the original synthesis parameters corresponding to the material identifier through the server. The original synthesis parameters can be synthesis experiment data uploaded to a server by other material synthesis systems or terminals. The material synthesis system can also send the parameter acquisition message to a corresponding terminal, so that the terminal displays the synthesis parameter input box through a display interface, and the terminal acquires the original synthesis parameters input by the user through the synthesis parameter input box. The material composition system may receive the raw composition parameters entered by the user through the terminal. The material synthesis task can also carry the original synthesis parameters corresponding to the material identification, and the material synthesis system can directly obtain the original synthesis parameters carried by the material task to carry out synthesis operation.
And step 206, obtaining the material to be synthesized according to the original synthesis parameters, and performing synthesis operation on the material to be synthesized to obtain the synthetic material.
The material synthesis system can obtain the material to be synthesized according to the original synthesis parameters, and carry out synthesis operation on the material to be synthesized according to the original synthesis parameters to obtain the synthetic material. Specifically, the original synthesis parameters may specifically include parameters of reaction materials, parameters of synthesis conditions, and the like. The reaction material parameters record one or more materials to be synthesized required by the materials corresponding to the synthetic material marks, and synthetic reaction amounts respectively corresponding to the materials to be synthesized. The synthesis condition parameters describe the reaction conditions and the like of the material synthesis process. The material synthesis system can obtain the corresponding material to be synthesized according to the reaction material parameters, and carry out synthesis operation on the obtained material to be synthesized according to the synthesis condition parameters.
The material synthesis system can comprise a material bin to be synthesized, a material selector, a synthesis reactor, a synthesis controller and the like. The material bin to be synthesized is used for storing the material to be synthesized for the material synthesis experiment, and the material selector can select the material from the material bin to be synthesized according to the parameters of the reaction material to obtain the material to be synthesized corresponding to the parameters of the reaction material. Specifically, the material selector can perform rough sampling according to the parameters of the reaction materials and then perform precise sampling on the materials to be synthesized, so that the accuracy of obtaining the materials to be synthesized is ensured, the influence on the properties of the synthesis materials due to sampling errors is avoided, and the repeatability of proxy synthesis is effectively improved. The material selector can place the obtained material to be synthesized into the synthesis reactor, and the synthesis controller and the synthesis reactor perform synthesis operation on the material to be synthesized according to the synthesis condition parameters, so that the material to be synthesized performs synthesis reaction, and the reaction result output by the synthesis reactor is obtained to obtain the synthetic material.
In one embodiment, the material composition system may receive composition control instructions sent by the terminal before and during the composition operation. The synthesis control command can be sent to the material synthesis system by the experimenter through controlling the corresponding terminal. Experimenters can remotely monitor the synthesis operation process of the material synthesis system through a terminal. The terminal may acquire text information of the composition operation through the material composition system, or may acquire image information or video information of the composition operation through a camera or the like in the material composition system. The terminal can display the synthesis operation process of the material synthesis system through a display interface so that an experimenter can monitor the synthesis operation process. In one embodiment, the experimenter may also monitor and remotely control the material synthesis system for synthesis operations via VR (Virtual Reality) technology.
When the synthesis operation of the material synthesis system is corrected according to the actual requirement, a synthesis control instruction can be sent to the material synthesis system through the terminal, and the synthesis control instruction carries parameter correction information. After the material synthesis system receives the synthesis control instruction, the original synthesis parameters can be corrected according to the parameter correction information to obtain corrected synthesis parameters. The material synthesis system can carry out synthesis operation on the material to be synthesized according to the corrected synthesis parameters. Experimenters can look over and control the synthetic operation through the terminal is long-range, prevents that explosion etc. from causing danger to the experimenters in the material synthetic process from appearing. The material synthesis system corrects the original synthesis parameters according to the parameter correction information carried by the synthesis control instruction, so that the synthesis operation is carried out on the material to be synthesized according to the corrected synthesis parameters, and the accuracy of material synthesis is effectively improved.
And 208, detecting the attribute of the synthetic material to obtain the synthetic material attribute corresponding to the synthetic material.
The material synthesis system may perform attribute detection on the synthetic material produced by the synthesis operation to obtain synthetic material attributes corresponding to the produced synthetic material. In particular, the material synthesis system may include one or more detectors. When a material synthesis system includes multiple detectors, the target material properties for different materials may be different based on the type of detector and the synthesized material. Different synthetic materials can be subjected to attribute detection by correspondingly adopting different detectors, so that the synthetic material attribute meeting the actual application requirement is obtained. For example, when the target material property is hardness of the material, the material synthesis system may perform property detection on the synthesized material through a hardness detector to obtain a hardness property corresponding to the synthesized material. When the target material attribute is the material size, the material synthesis system can perform attribute detection on the synthesized material through the size detector to obtain the corresponding size attribute of the synthesized material.
In one embodiment, the detector of the material synthesis system may specifically include a spectrometer, and the spectrometer may specifically include, but is not limited to, at least one of a vacuum ultraviolet spectrometer, an ultraviolet spectrometer, a visible light spectrometer, a near infrared spectrometer, an infrared spectrometer, a far infrared spectrometer, and the like. The material synthesis system can perform attribute detection on the synthetic material through a spectrometer to obtain spectral data corresponding to the synthetic material. The material synthesis system may determine a property of the synthesized material based on the spectral data corresponding to the synthesized material.
In one embodiment, the material synthesis system performs attribute detection on the synthetic material through a spectrometer, and after material spectrum data corresponding to the synthetic material is obtained, environment spectrum data corresponding to the synthetic material can be obtained. The environmental spectrum data is spectrum data corresponding to an environment in which the detection object is located. The spectrometer, upon start-up, can begin measuring intensities for a plurality of wavelength locations. When the spectrometer does not detect the synthetic material, the spectral data detected by the spectrometer can be recorded as the environmental spectral data corresponding to the synthetic material. The environmental spectral data may specifically be spectral data corresponding to a holding table of a synthetic material or air.
The material synthesis system can correct the material spectrum data according to the environment spectrum data to obtain target spectrum data. Specifically, the material synthesis system may obtain the environmental intensity corresponding to each wavelength position according to the environmental spectrum data, and obtain the material intensity corresponding to each wavelength position according to the material spectrum data. The material synthesis system can match the wavelength positions corresponding to the multiple environmental intensities with the wavelength positions corresponding to the material intensities, perform difference operation on the environmental lengths and the material intensities at the same wavelength positions, and record the obtained difference operation result as the target intensity of the wavelength position, so as to obtain target spectrum data comprising the target intensities corresponding to the multiple wavelength positions. The material synthesis system can identify spectral attributes according to the target spectral data and determine synthetic material attributes corresponding to the synthetic materials according to the spectral attributes. The material spectral attribute is corrected through the environmental spectral attribute, so that the interference caused by environmental factors when the attribute of the synthetic material is detected is reduced, and the accuracy of detecting the synthetic material corresponding to the synthetic material attribute is effectively improved.
And 210, comparing the attributes of the synthetic material with the attributes of the target material, and adjusting the original synthetic parameters according to the attribute comparison result to obtain the target synthetic parameters corresponding to the material identification.
The material synthesis system can compare the properties of the synthesized material with the properties of the target material carried in the material synthesis task, so as to judge whether the synthesized material synthesized according to the original synthesis parameters meets the requirements of the material properties. The material synthesis system can judge whether the attribute comparison result meets the preset attribute condition. The preset attribute condition may be a condition that needs the synthetic material attribute to meet, which is preset according to the actual application requirement. For example, the preset property condition may specifically be that the property similarity between the synthetic material property and the target material property is greater than or equal to a preset threshold, for example, the preset threshold may be set to 90%. The material synthesis system can compare the properties of the synthetic material with the properties of the target material, and the property comparison result is the similarity between the properties of the synthetic material and the properties of the target material.
The material synthesis system may compare the attribute similarity with a preset threshold, and determine whether the attribute similarity is greater than or equal to the preset threshold. When the attribute similarity is greater than or equal to the preset threshold, it is determined that the attribute comparison result meets the preset attribute condition, and the material synthesis system may determine an original synthesis parameter currently performing a synthesis operation as a target synthesis parameter corresponding to the material identifier. And when the attribute similarity is smaller than a preset threshold value, determining that the attribute comparison result does not meet the preset attribute condition, and the material synthesis system can optimize and adjust the original synthesis parameters according to the attribute comparison result, so that the target material with the target material attribute can be synthesized by performing synthesis operation according to the adjusted synthesis parameters, and determining the adjusted synthesis parameters as the target synthesis parameters corresponding to the material identification so as to synthesize the target material with the target material attribute according to the target synthesis parameters.
In this embodiment, according to the obtained material identifier carried by the material synthesis task, original synthesis parameters corresponding to the material identifier are obtained, the material synthesis system obtains a material to be synthesized according to the original synthesis parameters, and performs a synthesis operation on the material to be synthesized, so as to obtain a synthesized material. The material synthesis experiment is carried out through the material synthesis system, the influence of uncertain factors in manual experiments on the material synthesis experiment is avoided, the repeatability of the material synthesis experiment is ensured, the danger to experimenters caused by explosion and the like in the material synthesis process is avoided, the safety of material synthesis parameter adjustment is improved, and a large amount of experiment time of the experimenters is saved. The attribute detection is carried out on the synthetic material to obtain the synthetic material attribute corresponding to the synthetic material, so that the accuracy of determining the synthetic material attribute is improved. The target synthesis parameters corresponding to the material identification are obtained by comparing the properties of the synthesis material with the properties of the target material and adjusting the original synthesis parameters according to the property comparison result, so that the accuracy of adjusting the material synthesis parameters is improved, a large number of manual experiments are not needed, the material synthesis experiment cost is saved, and the parameter adjustment efficiency for adjusting the material synthesis parameters to meet the material property requirements is effectively improved.
In an embodiment, the step of obtaining the corresponding original synthesis parameters according to the material identifier includes: acquiring material information and historical experimental data corresponding to the material identification; verifying the target material attribute according to the material information and the historical experimental data; and when the verification is successful, acquiring the original synthesis parameters corresponding to the material identification from the historical experimental data.
After the material synthesis system acquires the material synthesis task, the reasonability of the target material attribute carried in the material synthesis task can be checked, and whether the target material attribute belongs to the reasonable requirement which can be realized is judged. Specifically, after the material synthesis system analyzes the material synthesis task to obtain the carried material identifier, the material information and the historical experimental data corresponding to the material identifier can be obtained. The material information may include material attribute information of a material corresponding to the material identifier, default composition parameters, and the like, and the material attribute information includes attributes that the material may have in the actual material technical field. The historical experimental data refers to data of a material synthesis system when performing a material synthesis experiment based on a historical synthesis task, and the historical experimental data may specifically include historical material attributes and historical synthesis parameters corresponding to the historical materials.
The material synthesis system may verify the properties of the target material based on the material information and historical experimental data. Specifically, the material synthesis system may verify the property of the target material according to the material property information in the material information, and determine whether the property of the target material belongs to a property that the material may have. When the target material property does not belong to the properties that the material may possess, the material composition system may determine that the target material property verification failed.
In one embodiment, when the material composition database does not include material information, the material composition system may obtain the material information through a terminal or a server, and the material composition system may also determine that the material composition task failed to be performed.
When the target material property belongs to a property that the material may possess, the material synthesis system may detect whether a historical material property corresponding to the target material property is included in the historical experimental data. When the historical experimental data comprises the historical material attribute corresponding to the target material attribute, the material synthesis system is indicated to optimize and adjust the material synthesis parameters according to the historical material attribute, the material synthesis system does not need to repeatedly adjust the material synthesis parameters, and the material synthesis system can determine that the verification of the target material attribute fails, so that the experimental cost of the material synthesis operation is saved. When the historical experimental data does not include the historical material attribute corresponding to the target material attribute, the target material attribute is represented as a new material attribute requirement, the material synthesis system can determine that the verification is successful, and the material synthesis system can acquire the historical synthesis data corresponding to the material identifier from the historical experimental data to serve as the original synthesis parameter corresponding to the material identifier.
In one embodiment, when there is no historical experimental data corresponding to the material identifier, which indicates that no material synthesis experiment has been performed on the material corresponding to the material identifier, the material synthesis system may obtain the default synthesis parameters in the material information as the original synthesis parameters corresponding to the material identifier.
In this embodiment, the material information and the historical experimental data corresponding to the material identifier are obtained, the target material attribute is verified according to the material information and the historical experimental data, and when the verification is successful, the original synthesis parameters corresponding to the material identifier are obtained from the historical experimental data to perform subsequent synthesis operation, so that unnecessary material synthesis experiments are avoided, and the experiment cost for performing the synthesis operation is effectively saved.
In one embodiment, as shown in fig. 3, after the property comparing the composite material property with the target material property, the method further comprises:
step 302, determining a parameter to be adjusted corresponding to the target material property from the original synthesis parameters.
And 304, determining an adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result, and adjusting the parameter to be adjusted according to the adjustment weight to obtain an adjusted synthesis parameter.
And step 306, repeating the steps of obtaining the material to be synthesized according to the adjusted synthesis parameters and carrying out synthesis operation on the material to be synthesized until a preset completion condition is met.
After the material synthesis system compares the properties of the synthesized material with the properties of the target material, the parameters to be adjusted corresponding to the properties of the target material can be determined from the original synthesis parameters. The parameter to be adjusted may be one or more parameters that have an influence on the material property in the original synthesis parameter, and specifically, the parameter to be adjusted may be a reaction material parameter or a synthesis condition parameter. For example, when the material corresponding to the material identifier is gold nanoparticles, the target material property may be the size of the gold nanoparticles. The synthesis process of the gold nanoparticles comprises heating chloroauric acid to boiling, and adding sodium citrate. In the synthesis process of the gold nanoparticles, the addition time, the addition frequency, the addition amount and the like of the chloroauric acid can all affect the size of the synthesized gold nanoparticles, and the material synthesis system can record the parameters affecting the size of the gold nanoparticles in the original synthesis parameters as the parameters to be adjusted.
The material synthesis system can adjust the parameters to be adjusted according to the attribute comparison result so as to obtain the target synthesis parameters corresponding to the material identification. Specifically, the material synthesis system may determine the adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result through a plurality of optimization algorithms. For example, the optimization algorithm may specifically be an algorithm based on optimization search, and may also be an algorithm based on a neural network. The material course system can determine a parameter space corresponding to the parameter to be adjusted, and establish a secondary model according to the optimal solution in the current parameter space, so as to obtain a spatial local optimal solution, and the material synthesis system can determine the adjustment weight corresponding to the parameter to be adjusted according to the obtained optimal solution. The adjustment weights corresponding to different parameters to be adjusted may be different. The material synthesis system can adjust the parameters to be adjusted according to the adjustment weight determined by the optimization algorithm to obtain the adjusted synthesis parameters. The adjusted synthesis parameters include unadjusted ones of the original synthesis parameters.
In one embodiment, the material synthesis system may upload the original synthesis parameters and the comparison result of the attributes of the synthesized material to the server, so that the server determines the adjustment weight corresponding to the parameter to be adjusted through an optimization algorithm, thereby reducing the operation load of the material synthesis system and saving the local operation resources of the material synthesis system.
The material synthesis system can repeatedly obtain the material to be synthesized according to the adjusted synthesis parameters, perform synthesis operation on the material to be synthesized to obtain the synthetic material, and repeatedly perform a material synthesis experiment. The material synthesis system can repeatedly optimize and adjust the parameters to be adjusted through multiple material synthesis experiments, so that the accuracy of the finally obtained target synthesis parameters is improved. The material synthesis system can repeatedly execute the steps of obtaining the material to be synthesized according to the adjusted synthesis parameters and carrying out synthesis operation on the material to be synthesized until a preset completion condition is met, then stopping the repeated synthesis operation, and recording the adjusted synthesis parameters as target synthesis parameters corresponding to the material identification. The preset completion condition may be a repeated experiment completion condition preset according to an actual application requirement, and the preset completion condition may be one or more of multiple completion conditions. For example, the preset completion condition may be that when the similarity of the attributes is smaller than a preset threshold, the repetition of the synthesizing operation is stopped. Or the preset completion condition may be that the repeated synthesis operation is stopped when the number of repetitions reaches a certain value. The certain value may be set by the user according to actual needs, for example, may be set to 20 times. Or the preset completion condition can also be that when the material to be synthesized in the material bin to be synthesized is not enough to carry out the synthesis operation, the repeated synthesis operation is stopped.
In this embodiment, the parameter to be adjusted corresponding to the target material attribute is determined from the original synthesis parameters, the material synthesis system determines the adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result, and adjusts the parameter to be adjusted according to the adjustment weight to obtain the adjusted synthesis parameter, so that the accuracy of adjusting the parameter to be adjusted is improved without depending on the manual experience of an experimenter. The step of carrying out synthesis operation according to the adjusted synthesis parameters is repeatedly executed by the material synthesis system until the preset completion condition is met, and the synthesis parameters are optimized and adjusted for multiple times through multiple synthesis, so that the accuracy of the adjusted synthesis parameters is effectively improved. The material synthesis system is used for synthesis operation, so that the experiment time cost of experimenters is saved, the safety of the experimenters is ensured, the influence of uncertain factors in manual experiment operation on results is avoided, and the efficiency of material synthesis parameter adjustment is improved.
In one embodiment, the step of obtaining the material to be synthesized according to the original synthesis parameters includes: acquiring injection control parameters corresponding to the injection pump from the original synthesis parameters; acquiring a standard instruction corresponding to the injection pump from an instruction library; and generating an injection control instruction according to the injection control parameter and the standard instruction, and controlling the injection pump to execute corresponding injection operation according to the injection control parameter through the injection control instruction to obtain the material to be synthesized.
The material selector and the reaction controller in the material synthesizing system may include injection pump comprising step motor, driver, screw rod, support, etc. for high precision, stable and pulse-less liquid conveying operation. When the material to be synthesized comprises a reagent, the material synthesis system may draw and inject the reagent from the material silo to be synthesized to the synthesis reactor by means of an injection pump. The material synthesis system can obtain injection control parameters corresponding to the injection pump from the original synthesis parameters, and the injection control parameters are used for controlling the injection pump to perform injection operation. The injection control parameters may specifically include, but are not limited to, at least one of an extraction rate, an extraction volume, a discharge rate, a number of cycles, and the like.
The instruction library refers to an instruction set including a plurality of preset instructions. The corresponding control commands may be different for different manufacturers or different types of syringe pumps. In order to adapt to different injection pumps, control instructions corresponding to various injection pumps can be acquired in advance, and the acquired control instructions can be recorded as standard instructions. The same syringe pump can be controlled based on different types of operations and can correspond to a plurality of standard instructions. For example, the standard instructions may include an operation execution instruction, an operation stop instruction, an initialization instruction, and the like. The standard instructions corresponding to the injection pumps are obtained from the instruction library, so that the injection pumps of different types or different manufacturers can be uniformly controlled, and the compatibility and universality of empty boxes of the injection pumps are effectively improved.
The material synthesis system may generate injection control instructions based on the injection control parameters and the standard instructions. Specifically, the material synthesis system may use the standard instruction as a standard instruction template meeting the instruction rule, replace the injection control parameter with a corresponding parameter in the standard instruction, generate an injection control instruction corresponding to the injection pump, and control the injection pump to perform a corresponding injection operation according to the injection control parameter through the injection control instruction, so as to obtain the material to be synthesized injected by the injection pump.
In the embodiment, the injection control parameters corresponding to the injection pump are obtained from the original synthesis parameters, the standard instructions corresponding to the injection pump are obtained from the instruction library, and the injection control instructions are generated according to the injection control parameters and the standard instructions, so that the compatibility and universality of the injection pump control are effectively improved. The injection pump is controlled to execute corresponding injection operation through the injection control instruction, so that the material to be synthesized is obtained, and the efficiency and the accuracy of obtaining the material to be synthesized are effectively improved.
In an embodiment, as shown in fig. 4, after the adjusting the original synthesis parameters according to the attribute comparison result to obtain the target synthesis parameters corresponding to the material identifier, the method further includes:
Step 402, obtaining current experimental data corresponding to the synthetic material.
And step 404, acquiring an experimental data identifier corresponding to the current experimental data.
And 406, uploading the current experimental data to a server, so that the server stores the current experimental data to obtain a storage address of the current experimental data.
Step 408, uploading the experimental data identification and the storage address to a target block in the block chain.
After the original synthesis parameters are adjusted according to the attribute comparison result to obtain the target synthesis parameters corresponding to the material identifier, the material synthesis system can obtain the current experimental data corresponding to the synthetic material. The current experimental data is used for recording the synthesis operation process and result corresponding to the synthesis material, and may include, but is not limited to, a material identifier, an original synthesis parameter, a target synthesis parameter, a synthesis material attribute corresponding to the synthesis material, a target material attribute, and text information or image information corresponding to the synthesis operation process.
The material synthesis system can acquire an experimental data identifier corresponding to current experimental data, the experimental data identifier is identification information capable of uniquely marking the current experimental data, and when the experimental data changes, the experimental data identifier can be changed certainly.
In one embodiment, the material synthesis system may encrypt the current experimental data through a price algorithm to obtain an experimental data identifier corresponding to the current experimental data. For example, the encryption Algorithm may specifically be an MD5(Message-Digest Algorithm) Algorithm. The current experimental data is encrypted through the MD5 algorithm, and a piece of hashed MD5 code is generated. The material synthesis system may identify the MD5 code corresponding to the current experimental data as the experimental data.
The material synthesis system can upload the current experimental data to the server, so that the server stores the current experimental data to obtain a storage address corresponding to the current experimental data. The server can be a cloud server or a public server, the material synthesis system can upload current experimental data to the server, so that the current experimental data can be shared by other users, and the other users can acquire the experimental data from the server to perform material synthesis experiments and material synthesis parameter adjustment, so that the development of a material synthesis process is promoted.
The material synthesis system can write the experimental data identification and the storage address into a target block in the block chain according to the established intelligent contract, so that the storage address and the experimental data identification are stored into the target block. An intelligent contract is a computer agreement to propagate, verify, or execute contracts in an informational manner. The blockchain may be an etherhouse, which is an open-source public blockchain platform with an intelligent contract function. The material synthesis system writes the experimental data identification and the storage address into the block chain for gathering, random tampering is not easy to occur, and authenticity of the experimental data identification and the storage address is guaranteed.
In this embodiment, the current experimental data corresponding to the synthetic material is obtained, the experimental data identifier corresponding to the current experimental data is obtained, and the authenticity of the current experimental data can be accurately verified through the experimental data identifier. The current experimental data are uploaded to the server to be stored, so that the storage address of the current experimental data is obtained, the data volume written into the block chain is reduced, and the storage cost of the current experimental data is saved. Through uploading the experiment data identification and the storage address to the target block in the block chain, the experiment data identification and the storage address are prevented from being tampered at will, the authenticity of the current experiment data is effectively guaranteed, the authenticity of the current experiment data stored by the server is verified through the real experiment data identification, other users can conveniently obtain the current experiment data through the block chain and the server, the sharing of the experiment data is facilitated, and therefore the development of a material synthesis process is promoted.
It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided a material composition parameter adjusting apparatus including: a parameter acquisition module 502, a material synthesis module 504, an attribute detection module 506, and a parameter adjustment module 508, wherein:
a parameter obtaining module 502, configured to obtain a material synthesis task, where the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier; and acquiring corresponding original synthesis parameters according to the material identification.
And a material synthesizing module 504, configured to obtain a material to be synthesized according to the original synthesis parameters, and perform a synthesizing operation on the material to be synthesized to obtain a synthesized material.
And an attribute detection module 506, configured to perform attribute detection on the synthetic material to obtain a synthetic material attribute corresponding to the synthetic material.
And the parameter adjusting module 508 is configured to compare the synthetic material attribute with the target material attribute, and adjust the original synthetic parameter according to the attribute comparison result to obtain a target synthetic parameter corresponding to the material identifier.
In one embodiment, the parameter obtaining module 502 is further configured to obtain material information and historical experimental data corresponding to the material identifier; verifying the target material attribute according to the material information and the historical experimental data; and when the verification is successful, acquiring the original synthesis parameters corresponding to the material identification from the historical experimental data.
In one embodiment, the parameter adjusting module 508 is further configured to determine a parameter to be adjusted corresponding to the target material property from the original synthesis parameters; determining an adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result, and adjusting the parameter to be adjusted according to the adjustment weight to obtain an adjusted synthesis parameter; and repeating the steps of obtaining the material to be synthesized according to the adjusted synthesis parameters and carrying out synthesis operation on the material to be synthesized until a preset completion condition is met.
In an embodiment, the material synthesizing module 504 is further configured to receive a synthesizing control instruction sent by the terminal, where the synthesizing control instruction carries parameter correction information; correcting the original synthesis parameters according to the parameter correction information to obtain corrected synthesis parameters; and synthesizing the material to be synthesized according to the corrected synthesis parameters.
In one embodiment, the material synthesis module 504 is further configured to obtain injection control parameters corresponding to the injection pump from the original synthesis parameters; acquiring a standard instruction corresponding to the injection pump from an instruction library; and generating an injection control instruction according to the injection control parameter and the standard instruction, and controlling the injection pump to execute corresponding injection operation according to the injection control parameter through the injection control instruction to obtain the material to be synthesized.
In one embodiment, the property detection module 506 is further configured to obtain material spectrum data corresponding to the composite material; acquiring environmental spectrum data corresponding to the synthetic material, and correcting the material spectrum data according to the environmental spectrum data to obtain target spectrum data; and determining the synthetic material attribute corresponding to the synthetic material according to the target spectrum data.
In one embodiment, the material synthesis parameter adjusting device further includes a data uploading module, configured to obtain current experimental data corresponding to the synthetic material; acquiring an experimental data identifier corresponding to current experimental data; uploading the current experimental data to a server, so that the server stores the current experimental data to obtain a storage address of the current experimental data; and uploading the experimental data identification and the storage address to a target block in the block chain.
For the specific definition of the material synthesis parameter adjustment device, reference may be made to the above definition of the material synthesis parameter adjustment method, which is not described herein again. The respective modules in the material composition parameter adjusting apparatus may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a material compounding device, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a material synthesis parameter adjustment method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the material synthesis parameter adjustment method embodiment when executing the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned material composition parameter adjustment method embodiment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of material synthesis parameter adjustment, the method comprising:
acquiring a material synthesis task, wherein the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier;
acquiring corresponding original synthesis parameters according to the material identification;
obtaining a material to be synthesized according to the original synthesis parameters, and carrying out synthesis operation on the material to be synthesized to obtain a synthetic material;
Detecting the attribute of the synthetic material to obtain the attribute of the synthetic material corresponding to the synthetic material;
and comparing the attributes of the synthetic material with the attributes of the target material, and adjusting the original synthetic parameters according to the attribute comparison result to obtain the target synthetic parameters corresponding to the material identification.
2. The method of claim 1, wherein the obtaining corresponding raw synthesis parameters from the material identification comprises:
acquiring material information and historical experimental data corresponding to the material identification;
verifying the target material attribute according to the material information and the historical experimental data;
and when the verification is successful, acquiring the original synthesis parameters corresponding to the material identification from the historical experimental data.
3. The method of claim 1, wherein after said attribute comparing said synthetic material attribute to said target material attribute, said method further comprises:
determining a parameter to be adjusted corresponding to the target material attribute from the original synthesis parameters;
determining an adjustment weight corresponding to the parameter to be adjusted according to the attribute comparison result, and adjusting the parameter to be adjusted according to the adjustment weight to obtain an adjusted synthesis parameter;
And repeating the steps of obtaining the material to be synthesized according to the adjusted synthesis parameters and carrying out synthesis operation on the material to be synthesized until a preset completion condition is met.
4. The method according to claim 1, wherein the obtaining of the material to be synthesized according to the original synthesis parameters comprises:
receiving a synthesis control instruction sent by a terminal, wherein the synthesis control instruction carries parameter correction information;
correcting the original synthesis parameters according to the parameter correction information to obtain corrected synthesis parameters;
and synthesizing the material to be synthesized according to the corrected synthesis parameters.
5. The method of claim 1, wherein the obtaining the material to be synthesized from the original synthesis parameters comprises:
acquiring injection control parameters corresponding to the injection pump from the original synthesis parameters;
acquiring a standard instruction corresponding to the injection pump from an instruction library;
and generating an injection control instruction according to the injection control parameter and the standard instruction, and controlling the injection pump to execute corresponding injection operation according to the injection control parameter through the injection control instruction to obtain the material to be synthesized.
6. The method of claim 1, wherein the performing property detection on the composite material to obtain the composite material property corresponding to the composite material comprises:
acquiring material spectrum data corresponding to the synthetic material;
acquiring environmental spectrum data corresponding to the synthetic material, and correcting the material spectrum data according to the environmental spectrum data to obtain target spectrum data;
and determining the synthetic material attribute corresponding to the synthetic material according to the target spectrum data.
7. The method according to claim 1, wherein after the adjusting the original synthesis parameters according to the attribute comparison result to obtain target synthesis parameters corresponding to the material identifier, the method further comprises:
acquiring current experimental data corresponding to the synthetic material;
acquiring an experimental data identifier corresponding to the current experimental data;
uploading the current experimental data to a server, so that the server stores the current experimental data to obtain a storage address of the current experimental data;
and uploading the experimental data identification and the storage address to a target block in a block chain.
8. A material synthesis parameter adjustment apparatus, the apparatus comprising:
the parameter acquisition module is used for acquiring a material synthesis task, wherein the material synthesis task carries a material identifier and a target material attribute corresponding to the material identifier; acquiring corresponding original synthesis parameters according to the material identification;
the material synthesis module is used for obtaining a material to be synthesized according to the original synthesis parameters and carrying out synthesis operation on the material to be synthesized to obtain a synthetic material;
the attribute detection module is used for carrying out attribute detection on the synthetic material to obtain the synthetic material attribute corresponding to the synthetic material;
and the parameter adjusting module is used for comparing the synthetic material attribute with the target material attribute, and adjusting the original synthetic parameter according to an attribute comparison result to obtain a target synthetic parameter corresponding to the material identifier.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202010500451.7A 2020-06-04 2020-06-04 Material synthesis parameter adjusting method and device, computer equipment and storage medium Pending CN111842922A (en)

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Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106124420A (en) * 2016-07-07 2016-11-16 威凯检测技术有限公司 A kind of spectral detection instrument data analysis and information synthesis method
CN106462656A (en) * 2013-12-27 2017-02-22 豪夫迈·罗氏有限公司 Method and system for preparing synthetic multicomponent biotechnological and chemical process samples
CN107423529A (en) * 2017-08-30 2017-12-01 同济大学 Metamaterial Precise spraying method
CN108038285A (en) * 2017-11-30 2018-05-15 歌尔科技有限公司 Material selection method and computer-readable recording medium
CN108079919A (en) * 2017-12-20 2018-05-29 长春微纪元科技有限公司 High-precision full-automatic nano material synthesis system
CN108449543A (en) * 2018-03-14 2018-08-24 广东欧珀移动通信有限公司 Image synthetic method, device, computer storage media and electronic equipment
CN108982193A (en) * 2017-05-31 2018-12-11 希森美康株式会社 Device, system, method and the particle analysing device of sample preparation
CN109120867A (en) * 2018-09-27 2019-01-01 乐蜜有限公司 Image synthesizing method and device
CN109154588A (en) * 2016-05-17 2019-01-04 自动化合作关系(剑桥)有限公司 Automatic biological process development
CN109767360A (en) * 2018-12-17 2019-05-17 平安普惠企业管理有限公司 Characteristic processing method, device and computer equipment based on application scenarios
CN109886500A (en) * 2019-03-05 2019-06-14 北京百度网讯科技有限公司 Method and apparatus for determining processing technology information
CN109951634A (en) * 2019-03-14 2019-06-28 Oppo广东移动通信有限公司 Image composition method, device, terminal and storage medium
CN110211564A (en) * 2019-05-29 2019-09-06 泰康保险集团股份有限公司 Phoneme synthesizing method and device, electronic equipment and computer-readable medium
CN110794701A (en) * 2019-11-27 2020-02-14 广东美的制冷设备有限公司 Environment control method and device based on air-conditioning robot
CN110917998A (en) * 2019-12-02 2020-03-27 长沙新材料产业研究院有限公司 Diamond growth on-line monitoring method and diamond synthesis equipment
CN111090266A (en) * 2019-12-04 2020-05-01 广州市高士实业有限公司 Sealant preparation monitoring method and device, computer equipment and storage medium
WO2020089301A1 (en) * 2018-11-02 2020-05-07 Industrieanlagen-Betriebsgesellschaft Mbh Method for treating and examining a powder by means of instrumental analysis and use
CN111159153A (en) * 2019-12-30 2020-05-15 北京三快在线科技有限公司 Service data checking method and device, computer equipment and storage medium

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106462656A (en) * 2013-12-27 2017-02-22 豪夫迈·罗氏有限公司 Method and system for preparing synthetic multicomponent biotechnological and chemical process samples
CN109154588A (en) * 2016-05-17 2019-01-04 自动化合作关系(剑桥)有限公司 Automatic biological process development
CN106124420A (en) * 2016-07-07 2016-11-16 威凯检测技术有限公司 A kind of spectral detection instrument data analysis and information synthesis method
CN108982193A (en) * 2017-05-31 2018-12-11 希森美康株式会社 Device, system, method and the particle analysing device of sample preparation
CN107423529A (en) * 2017-08-30 2017-12-01 同济大学 Metamaterial Precise spraying method
CN108038285A (en) * 2017-11-30 2018-05-15 歌尔科技有限公司 Material selection method and computer-readable recording medium
CN108079919A (en) * 2017-12-20 2018-05-29 长春微纪元科技有限公司 High-precision full-automatic nano material synthesis system
CN108449543A (en) * 2018-03-14 2018-08-24 广东欧珀移动通信有限公司 Image synthetic method, device, computer storage media and electronic equipment
CN109120867A (en) * 2018-09-27 2019-01-01 乐蜜有限公司 Image synthesizing method and device
WO2020089301A1 (en) * 2018-11-02 2020-05-07 Industrieanlagen-Betriebsgesellschaft Mbh Method for treating and examining a powder by means of instrumental analysis and use
CN109767360A (en) * 2018-12-17 2019-05-17 平安普惠企业管理有限公司 Characteristic processing method, device and computer equipment based on application scenarios
CN109886500A (en) * 2019-03-05 2019-06-14 北京百度网讯科技有限公司 Method and apparatus for determining processing technology information
CN109951634A (en) * 2019-03-14 2019-06-28 Oppo广东移动通信有限公司 Image composition method, device, terminal and storage medium
CN110211564A (en) * 2019-05-29 2019-09-06 泰康保险集团股份有限公司 Phoneme synthesizing method and device, electronic equipment and computer-readable medium
CN110794701A (en) * 2019-11-27 2020-02-14 广东美的制冷设备有限公司 Environment control method and device based on air-conditioning robot
CN110917998A (en) * 2019-12-02 2020-03-27 长沙新材料产业研究院有限公司 Diamond growth on-line monitoring method and diamond synthesis equipment
CN111090266A (en) * 2019-12-04 2020-05-01 广州市高士实业有限公司 Sealant preparation monitoring method and device, computer equipment and storage medium
CN111159153A (en) * 2019-12-30 2020-05-15 北京三快在线科技有限公司 Service data checking method and device, computer equipment and storage medium

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