Experimental assistance methods, devices and equipment
By loading the experimental method model and guiding the experimental operations in real time, collecting and analyzing experimental images, the problems of high training costs for experimental personnel and inaccurate data recording are solved, and efficient and accurate experimental data recording is achieved.
Patent Information
- Application Number
- CN202111665615.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-12-31
- Publication Date
- 2025-07-11
- Estimated Expiration
- 2041-12-31
AI Technical Summary
In the prior art, the training cost of experimental personnel is high, the timeliness and accuracy of the recording of experimental data is poor, and the recording method is time-consuming and error-prone.
By loading the experimental method model, the experimental personnel are sent to the experimenter, the experimental operation images are collected and recorded, the image analysis is performed, the operation content is identified and the specification information is compared, and the experimental operations are guided and recorded in real time.
It reduces the training cost of experimental personnel, improves the timeliness and accuracy of experimental data recording, and reduces the time-consuming and errors of manual recording.
Smart Images

Figure CN114445912B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of augmented reality technology, and in particular, to an experimental assistance method, device, and equipment. Background Art
[0002] Currently, when conducting experiments, experimental personnel perform on-site experiments based on their experience. To standardize the experimental operation process of experimental personnel and ensure the experimental effect, a large amount of training resources need to be invested in long-term training of experimental personnel, which results in a relatively high training cost for experimental personnel. In addition, a large amount of data will be generated during the experiment by experimental personnel. In the past, when recording experimental data, generally the experimental results were mainly recorded after the experiment was completed, and the data of key experimental operations were filled in after the experiment was completed. In this way, the timeliness is poor and data fragmentation is likely to occur, which is not convenient for querying relevant experimental data when restoring the experimental process later; moreover, the current methods of recording experimental data are all by transcribing or cutting and pasting into a paper laboratory record book, or manually entering into an electronic experimental record form. The existing methods of recording experimental data not only take time but also are prone to errors. Summary of the Invention
[0003] Embodiments of the present invention provide an experimental assistance method, device, and equipment, which can effectively reduce the training cost for experimental personnel and improve the timeliness, accuracy, and recording efficiency of experimental data recording.
[0004] An embodiment of the present invention provides an experimental assistance method, including:
[0005] Loading a method model of an experimental method to be experimented, where the method model records operation specification information corresponding to experimental operations in each experimental scenario of the experimental method;
[0006] Sending operation specification information corresponding to the experimental operation in the current experimental scenario to the experimental personnel;
[0007] Collecting and recording experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information.
[0008] As an improvement to the above solution, the collecting and recording experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information includes:
[0009] Taking an experimental operation image of the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information;
[0010] Performing image analysis on the experimental operation image, and obtaining experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario according to the image analysis result.
[0011] As an improvement to the above solution, the experimental operation image is subjected to image analysis, and experimental process data generated by the experimental operation performed by the experimenter in the current experimental scenario is obtained according to the image analysis result, including:
[0012] Identifying the experimental operation content in the operation process image;
[0013] Comparatively analyzing the experimental operation content with the operation specification information;
[0014] According to the comparative analysis result, corresponding experimental operation prompt information is sent to the experimenter;
[0015] Wherein, the experimental operation content and the comparative analysis result are used as the experimental process data generated by the experimenter's current experimental operation.
[0016] As an improvement to the above solution, the operation specification information includes: experimental operation specification actions, experimental specification phenomena, and experimental sample specification amounts;
[0017] The corresponding experimental operation content includes: the experimental operation actions of the experimenter, experimental phenomena, and the measured values of the experimental samples by the experimental instruments.
[0018] As an improvement to the above solution, the step of sending corresponding experimental operation prompt information to the experimenter according to the comparative analysis result includes:
[0019] In response to the comparative analysis result indicating that the experimental operation is not standardized, an experimental operation correction prompt information is sent to the experimenter;
[0020] In response to the comparative analysis result indicating that the experimental operation is standardized, a notice conforming to the experimental operation specification is sent to the experimenter.
[0021] As an improvement to the above solution, the method further includes:
[0022] Collecting and recording the sample information of the experimental sample; the sample information includes the appearance morphological characteristics of the sample, the sample name, and the sample source.
[0023] As an improvement to the above solution, the method further includes:
[0024] Displaying the groups to be edited of the experimental samples required for the experimental method to be experimented;
[0025] In response to the editing operation of the experimenter on the group, editing the molecular structure of the experimental sample to obtain the molecular structure of the experimental sample; the editing operation includes: group selection operation, group dragging operation, and group splicing confirmation operation;
[0026] Record the molecular structure of the experimental sample.
[0027] As an improvement to the above solution, after loading the method model of the experimental method to be experimented, and before sending the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter, the method further includes:
[0028] Perform reality augmentation on the current experimental scenario of the experimental method to be experimented.
[0029] As an improvement to the above solution, before loading the method model of the experimental method to be experimented, the method further includes:
[0030] Provide the experimenter with options for the method models of multiple experimental methods;
[0031] Use the method model of the experimental method selected by the experimenter as the method model of the experimental method to be experimented.
[0032] As an improvement to the above solution, before loading the method model of the experimental method to be experimented, the method further includes:
[0033] Obtain the initial model parameters of the experimental method to be experimented selected by the experimenter; the initial model parameters include the following: the experimental sample required by the experimental method in the corresponding experimental scenario, and the calculation method of the reaction amount of the experimental sample under each experimental condition in the experimental scenario of the experimental method;
[0034] Based on the experimental conditions set by the experimenter for the experimental scenario and the calculation method of the experimental sample under the experimental conditions, calculate the reaction amount of the experimental sample in the experimental method in the experimental scenario;
[0035] Use the reaction amounts of each experimental sample in the experimental scenario of the experimental method as the operation specification information corresponding to the experimental operation in the experimental scenario of the experimental method, so as to obtain the method model to be loaded of the experimental method.
[0036] Another embodiment of the present invention correspondingly provides an experimental auxiliary device, which includes:
[0037] A method model loading module, configured to load the method model of the experimental method to be experimented, and the method model records the operation specification information corresponding to the experimental operations in each experimental scenario of the experimental method;
[0038] An information sending module, configured to send the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter;
[0039] A data acquisition and recording module is used to acquire and record the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information.
[0040] Another embodiment of the present invention provides an experimental assistance device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the experimental assistance method described in the above-mentioned embodiment of the present invention is implemented.
[0041] Another embodiment of the present invention provides a storage medium. The computer-readable storage medium includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the experimental assistance method described in the above-mentioned embodiment of the present invention.
[0042] Compared with the prior art, at least one of the following advantages exists in one of the above embodiments:
[0043] By sending the operation specification information corresponding to the experimental operations in the current experimental scenario to the experimenter, the experimenter can be guided in real time to perform experimental operations, thereby standardizing the experimental operation process of the experimenter and ensuring the experimental effect. At the same time, the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information is collected and recorded, so that the experimental data of each experimental operation process can be recorded in real time. It can be seen that the embodiment of the present invention does not need to invest a large amount of training resources to conduct long-term training on the experimenter, effectively reducing the training cost of the experimenter. Moreover, by recording the experimental data of each experimental operation process in real time under the augmented reality technology, the timeliness, accuracy, and recording efficiency of the experimental data recording are improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 is a flowchart of an experimental assistance method provided by an embodiment of the present invention;
[0045] Figure 2 is a structural diagram of an experimental assistance device provided by an embodiment of the present invention;
[0046] Figure 3 is a structural diagram of an experimental assistance device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.
[0048] Refer to Figure 1 , which is a schematic flowchart of an experimental assistance method provided by an embodiment of the present invention. The experimental assistance method can be executed by an experimental assistance device, and the experimental assistance device can be a computer device such as an augmented reality device (such as an AR glasses), a tablet computer, or a smart phone. Among them, taking the experimental assistance device as an augmented reality device as an example of the following embodiments of the experimental assistance method. The experimental assistance method includes steps S10 to S12:
[0049] S10, load the method model of the experimental method to be experimented, and the method model records the operation specification information corresponding to the experimental operations in each experimental scenario of the experimental method.
[0050] S11, send the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter.
[0051] As an example, send the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter, so that the experimenter can know the operation specification of the experimental operation in the current experimental scenario, thereby guiding the experimenter to perform the experimental operation. It should be noted that the operation specification information in the method model is preset, and can be set in advance by relevant method model developers according to their own experimental experience of the experimental method. It can be understood that the sending method of the operation specification information can be to send it by voice through the sound device of the augmented reality device, or to display it through the display device of the augmented reality device, etc., which is not limited here.
[0052] S12, collect and record the experimental process data generated by the experimenter's experimental operation based on the operation specification information in the current experimental scenario.
[0053] When the experimenter is performing the experimental operation based on the operation specification information in the current experimental scenario, relevant experimental process data will be generated, such as experimental instrument data, experimental phenomena, and experimental results, etc. During this process, these experimental process data can be collected and recorded in real time through various data collection devices (such as cameras or relevant sensors, etc.) of the augmented reality device.
[0054] In an embodiment of the present invention, by sending operation specification information corresponding to the experimental operations in the current experimental scenario to the experimenter, the experimenter can be guided in real time to perform experimental operations, thereby standardizing the experimental operation process of the experimenter and ensuring the experimental effect. At the same time, the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information is collected and recorded, so that the experimental data of each experimental operation process can be recorded in real time. It can be seen that the embodiment of the present invention does not require a large amount of training resources to conduct long-term training on experimenters, effectively reducing the training cost for experimenters. Moreover, by recording the experimental data of each experimental operation process in real time under the augmented reality technology, the timeliness, accuracy, and recording efficiency of experimental data recording are improved.
[0055] In one embodiment, after the step S10 and before the step S11, the method further includes:
[0056] Performing augmented reality on the current experimental scenario of the experimental method to be tested.
[0057] During the experimental process of the experimental method to be tested currently, there are generally multiple experimental scenarios. For example, the experimental method to be tested currently may include a solid sample weighing scenario, a liquid sample weighing scenario, a solid-liquid sample mixing and reaction scenario, etc. Among them, when performing each experimental scenario, the experimental scenario can be augmented through the augmented reality device. Among them, the augmented reality technology adopted for the current experimental scenario can refer to the prior art. For example: First, the real experimental scenario is collected through the camera and sensors of the augmented reality device and transmitted to the processor for analysis and reconstruction. Then, the spatial position change data of the experimenter in the real environment is updated in real time through accessories such as the AR headset or the camera, gyroscope, and sensors on the augmented reality device, so as to obtain the relative position between the virtual scenario and the real scenario, realize the alignment of the coordinate systems and perform the fusion calculation of the virtual scenario and the real scenario. Finally, the synthesized image is presented to the experimenter.
[0058] In one embodiment, the step S12 includes steps S120 to S121:
[0059] S120, taking an experimental operation image of the experimental operation performed by the experimenter in the current experimental scenario based on the operation specification information.
[0060] As an example, during the experiment of the experimenter, the augmented reality device takes an experimental operation image of the experimental operation performed by the experimenter in the current experimental scenario based on the operation specification information through the camera.
[0061] S121. Perform image analysis on the experimental operation image, and obtain the experimental process data generated by the experimental operation performed by the experimenter in the current experimental scenario based on the image analysis result.
[0062] In this embodiment, image recognition technology is used to analyze the captured experimental operation image, and relevant experimental process data is obtained based on the image analysis result, so that there is no need for manual recording of experimental data.
[0063] In one embodiment, the step S121 includes steps S1210 to S1212:
[0064] S1210. Identify the experimental operation content in the operation process image.
[0065] As an example, the experimental operation content correspondingly includes: the experimental operation actions of the experimenter, experimental phenomena, and the measured values of the experimental samples by the experimental instruments.
[0066] S1211. Compare and analyze the experimental operation content with the operation specification information.
[0067] As an example, the operation specification information includes: standard experimental operation actions, standard experimental phenomena, and standard amounts of experimental samples.
[0068] S1212. According to the comparison and analysis result, send a corresponding experimental operation prompt message to the experimenter.
[0069] As an example, in response to the comparison and analysis result that the experimental operation is not standard, send an experimental operation correction prompt message to the experimenter; in response to the comparison and analysis result that the experimental operation is standard, send a notice conforming to the experimental operation specification to the experimenter.
[0070] Among them, the experimental operation content and the comparison and analysis result are used as the experimental process data generated by the experimenter's current experimental operation.
[0071] For the convenience of understanding this embodiment, the following example is given:
[0072] For example, if the current experimental scenario is the solid sample weighing scenario, the operation specification information corresponding to the experimental operations in the solid sample weighing scenario (such as the weighing steps of the solid sample, the standard actions for operating the weighing instrument, the standard weighing value of the solid sample, etc., which are experimental operation specification descriptions) is sent to the experimenter to guide the experimenter's solid sample weighing operation in the solid sample weighing scenario; at least one experimental operation image of the experimenter's solid sample weighing operation based on the operation specification information in the solid sample weighing scenario is taken, and image recognition technology is used to identify the experimental operation content in the operation process image, including the sample weighing value displayed on the weighing instrument, the operation actions of the experimenter operating the weighing instrument, etc. The sample weighing value is compared with the standard weighing value in the operation specification information. If the two values are inconsistent, a prompt indicating that the solid sample weighing value is incorrect is sent to the experimenter; and the operation actions of the experimenter operating the weighing instrument are compared with the standard actions of the weighing instrument. If the two actions are inconsistent, a prompt indicating that the operation actions of the weighing instrument are not standard is sent to the experimenter. If the result of the above comparison and analysis is that the experimental operation is in compliance with the specification, a notice indicating compliance with the experimental operation specification is sent to the experimenter, prompting the experimenter that the next experimental operation can be carried out.
[0073] For example, if the current experimental scenario is the liquid sample weighing scenario, the operation specification information corresponding to the experimental operations in the liquid sample weighing scenario (such as the weighing steps of the liquid sample, the standard actions for operating the weighing instrument, the standard weighing value of the liquid sample, etc., which are experimental operation specification descriptions) is sent to the experimenter to guide the experimenter's solid sample weighing operation in the liquid sample weighing scenario; at least one experimental operation image of the experimenter's solid sample weighing operation based on the operation specification information in the liquid sample weighing scenario is taken, and image recognition technology is used to identify the experimental operation content in the operation process image, including the sample weighing value displayed on the weighing instrument, the operation actions of the experimenter operating the weighing instrument, etc. The sample weighing value is compared with the standard weighing value in the operation specification information. If the two values are inconsistent, a prompt indicating that the liquid sample weighing value is incorrect is sent to the experimenter; and the operation actions of the experimenter operating the weighing instrument are compared with the standard actions of the weighing instrument. If the two actions are inconsistent, a prompt indicating that the operation actions of the weighing instrument are not standard is sent to the experimenter. If the result of the above comparison and analysis is that the experimental operation is in compliance with the specification, a notice indicating compliance with the experimental operation specification is sent to the experimenter, prompting the experimenter that the next experimental operation can be carried out.
[0074] For example, if the current experimental scenario is a solid-liquid sample mixing reaction scenario, operation specification information corresponding to the experimental operations in the solid-liquid sample mixing reaction scenario (such as standard operation actions for mixing solid-liquid samples, standard experimental phenomena when mixing solid-liquid samples, etc., which are descriptions of experimental operation specifications) is sent to the experimenter to guide the experimenter's solid-liquid sample mixing operation in the solid-liquid sample mixing reaction scenario; at least one experimental operation image of the experimenter's solid-liquid sample mixing operation based on the operation specification information in the solid-liquid sample mixing reaction scenario is taken, and image recognition technology is used to identify the experimental operation content in the operation process image, including solid-liquid sample mixing operation actions, experimental phenomena of the solid-liquid sample mixing reaction, etc. The solid-liquid sample mixing operation actions are compared with the standard operation actions for mixing solid-liquid samples. If the actions are inconsistent, a prompt indicating that the mixing action is not standard is sent to the experimenter; and the experimental phenomena of the solid-liquid sample mixing reaction are compared with the standard experimental phenomena when mixing solid-liquid samples. If the phenomena are inconsistent, a prompt indicating that the experimental phenomena of mixing solid-liquid samples are incorrect is sent to the experimenter to remind the experimenter. If the result of the above comparison and analysis shows that the experimental operation is in line with the specification, a notice conforming to the experimental operation specification is sent to the experimenter to prompt the experimenter that the next experimental operation can be carried out.
[0075] For example, if the current experimental scenario is an experiment end scenario, operation specification information corresponding to the experimental operations in the experiment end scenario (such as the specification for the packing result of instruments and samples at the experimental site) is sent to the experimenter to guide the experimenter's packing operation of instruments and samples in the experiment end scenario; at least one experimental operation image of the experimenter's packing operation of instruments and samples based on the operation specification information in the experiment end scenario is taken, and image recognition technology is used to identify the experimental operation content in the operation process image, including the packing result of instruments and samples, etc. The packing result of the instruments and samples is compared with the packing result specification of the instruments and samples. If they are inconsistent, a prompt indicating that the experimental result packing is not standard is sent to the experimenter to remind the experimenter. If the result of the above comparison and analysis shows that the experimental operation conforms to the specification, a notice conforming to the experimental operation specification is sent to the experimenter.
[0076] In one embodiment, the method further includes:
[0077] Collecting and recording the sample information of the experimental sample; the sample information includes the appearance morphological characteristics of the sample, the sample name, and the sample source.
[0078] For example, before the step S10, a sample image of the experimental sample can be captured by the camera of the augmented reality device, and image recognition technology can be used to identify the appearance and morphological characteristics of the experimental sample (such as whether it is a transparent liquid, a colored liquid, a solid or a powder, etc.), the sample name, the sample source, etc. In this way, the sample information of the experimental sample can be automatically collected and recorded without manual input by the experimenter. Of course, the sample information can also be pre-entered into the augmented reality device by the experimenter.
[0079] In one embodiment, the method further includes:
[0080] Displaying the groups to be edited of the experimental samples required for the experimental method to be experimented;
[0081] Responding to the editing operation of the experimenter on the group, editing the molecular structure of the experimental sample to obtain the molecular structure of the experimental sample; the editing operation includes: group selection operation, group dragging operation and group splicing confirmation operation;
[0082] Recording the molecular structure of the experimental sample.
[0083] In this embodiment, for example, before the step S10, on the display field projected by the experimental auxiliary device, each basic group required for splicing the compound structure will be displayed. The experimenter can perform a group selection operation through a "clenching" gesture, a group dragging operation through a "moving" gesture, and a group splicing confirmation operation through an "open palm" gesture. When splicing the molecular structure is required, the corresponding group can be selected through the group selection operation, and the selected group can be dragged to the corresponding group splicing position through the group dragging operation. Finally, the relevant groups can be spliced and combined through the group splicing confirmation operation to assemble and obtain the molecular structure of the relevant compound. It can be seen that the experimental auxiliary device in this embodiment can provide an editing function for the molecular structure of the experimental sample, allowing the experimenter to perform an editing operation on the molecular structure of the experimental sample, deepening the experimenter's understanding of the molecular structure of the experimental sample, and can also automatically record the molecular structure of the experimental sample without manual recording.
[0084] For the convenience of understanding, the following examples are given here:
[0085] For example, if the experimental sample required for the experimental method to be tested is methanol, the editing and splicing process of the molecular structure of "methanol (CH3OH)" is as follows: First step, the gesture is "clench the palm", and move it to the "carbon-carbon single bond (C-C)" displayed in the display field projected by the experimental auxiliary device to select this group; Second step, adjust the gesture to "move the palm", and move it to the left editing area in the display field projected by the experimental auxiliary device; Third step, adjust the gesture to "open the palm" to release this molecular group; Fourth step, move the palm to the periodic table option displayed on the monitor, adjust the gesture to "clench", and then "open the palm", and the complete periodic table will be displayed in the display field projected by the experimental auxiliary device. Move the palm to the "oxygen element (O)" and adjust the gesture to "clench" to select this oxygen element group; Fifth step, move the palm to the top of one direction of the carbon-carbon single bond, and a green highlighter can be seen at the end in the display field projected by the experimental auxiliary device, indicating that the system has recognized and followed here; Sixth step, adjust the gesture to "open the palm" to confirm the splicing of these two groups, and the style of "C-O" can be observed in the display field projected by the experimental auxiliary device, so that the two groups of "C-O" are spliced, and "CO" is the chemical formula of the methanol molecule.
[0086] In one embodiment, before the step S10, the method further includes:
[0087] Providing options of method models of multiple experimental methods to the experimenter;
[0088] Taking the method model of the experimental method selected by the experimenter as the method model of the experimental method to be tested.
[0089] Among them, the display device of the augmented reality device (such as the display lens of a head-mounted display or AR glasses) will display options of method models of all experimental methods to the experimenter for the experimenter to select. The experimenter can select the method model of the experimental method to be tested through corresponding selection operations (such as voice selection or gesture selection, etc.). After the experimenter selects the method model of the experimental method to be tested, load the method model of the experimental method to be tested. Of course, the method model of the experimental method to be tested can also be sent by other experimental auxiliary devices.
[0090] In one embodiment, before the step S10, the method further includes:
[0091] Obtain the initial model parameters of the experimental method to be experimented selected by the experimenter; the initial model parameters include the following: the experimental samples required by the experimental method in the corresponding experimental scenario, and the calculation method of the reaction amount of the experimental samples under each experimental condition of the experimental scenario of the experimental method;
[0092] Based on the experimental conditions set by the experimenter for the experimental scenario and the calculation method of the experimental samples under the experimental conditions, calculate the reaction amount of the experimental samples of the experimental method in the experimental scenario;
[0093] Take the reaction amounts of the respective experimental samples of the experimental method in the experimental scenario as the operation specification information corresponding to the experimental operation in the experimental scenario of the experimental method, so as to obtain the method model to be loaded of the experimental method.
[0094] In this embodiment, by presetting the initial model parameters of the experimental method to be experimented and automatically calculating the reaction amount of the experimental samples of the experimental method to be experimented in the experimental scenario based on the initial model parameters selected by the experimenter, and finally taking the reaction amounts of the respective experimental samples in the relevant experimental scenarios of the experimental method as the operation specification information corresponding to the experimental operations in the respective experimental scenarios of the experimental method, it is convenient for the experimenter to pre-adjust the method model of the experimental method according to the actual situation.
[0095] For the convenience of understanding this embodiment, the following example is given:
[0096] The experimental method selected by the experimenter is named "Binary Solvent Solubility Test", and the binary solvent refers to a mixed solvent obtained by mixing two solvents in a certain proportion. Then the method model to be loaded of "Binary Solvent Solubility Test" can be obtained through the following methods:
[0097] 1. Obtain the following initial model parameters of "Binary Solubility Determination": the experimental samples required: for example, methanol solvent and toluene solvent, and the calculation formulas of the reaction amounts of the two experimental samples of methanol solvent and toluene solvent under the experimental conditions of the solution temperature being 50, 60, and 70 degrees Celsius in the dissolution experimental scenario;
[0098] 2. If the experimental conditions set by the experimenter for the two experimental samples of methanol solvent and toluene solvent in the dissolution experimental scenario are that the solution temperature is 50 degrees Celsius, then based on the experimental condition of "solution temperature 50 degrees Celsius" set by the experimenter for the dissolution experimental scenario and the calculation method of the experimental samples under this experimental condition, calculate the reaction amounts of the two experimental samples of methanol solvent and toluene solvent of the experimental method in the dissolution experimental scenario;
[0099] 3. Take the reaction amounts of methanol solvent and toluene solvent in the dissolution experiment scenario of the "binary solubility determination" experimental method as the operation specification information corresponding to the experimental operations in the dissolution experiment scenario of the "binary solubility determination" experimental method, so as to obtain the method model to be loaded for "binary solubility determination"; in this way, when performing the dissolution experiment operation of the "binary solubility determination" experimental method subsequently, it can guide the reaction amounts of methanol solvent and toluene solvent that the experimental personnel need to use.
[0100] See Figure 2 , which is a schematic structural diagram of an experimental assistance device provided by an embodiment of the present invention. The experimental assistance device includes:
[0101] A method model loading module 10, configured to load the method model of the experimental method to be experimented, and the method model records the operation specification information corresponding to the experimental operations in each experimental scenario of the experimental method;
[0102] An information sending module 11, configured to send the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimental personnel;
[0103] A data acquisition and recording module 12, configured to acquire and record the experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information.
[0104] In an embodiment of the present invention, by sending the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimental personnel, it can guide the experimental personnel to perform experimental operations in real time, thereby standardizing the experimental operation process of the experimental personnel and ensuring the experimental effect; at the same time, acquiring and recording the experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information can record the experimental data of each experimental operation process in real time. It can be seen that the embodiment of the present invention does not need to invest a large amount of training resources to train the experimental personnel for a long time, effectively reducing the training cost of the experimental personnel; and by recording the experimental data of each experimental operation process in real time under the augmented reality technology, the timeliness, accuracy and recording efficiency of the experimental data recording are improved.
[0105] In one of the embodiments, the data acquisition and recording module 12 includes:
[0106] A photographing unit, configured to photograph the experimental operation images of the experimental operations performed by the experimental personnel in the current experimental scenario based on the operation specification information;
[0107] An image analysis unit, configured to perform image analysis on the experimental operation images and obtain the experimental process data generated by the experimental operations performed by the experimental personnel in the current experimental scenario according to the image analysis results.
[0108] In one embodiment, the image analysis unit includes:
[0109] An image recognition subunit, configured to recognize the experimental operation content in the operation process image;
[0110] A comparison and analysis subunit, configured to compare and analyze the experimental operation content with the operation specification information;
[0111] A prompt sending subunit, configured to send corresponding experimental operation prompt information to the experimenter according to the comparison and analysis result;
[0112] Wherein, the experimental operation content and the comparison and analysis result are used as the experimental process data generated by the experimenter's current experimental operation.
[0113] In one embodiment, the operation specification information includes: experimental operation specification actions, experimental specification phenomena, and experimental sample specification quantities;
[0114] The corresponding experimental operation content includes: the experimental operation actions of the experimenter, experimental phenomena, and the measured values of the experimental samples by the experimental instruments.
[0115] In one embodiment, the prompt sending subunit is specifically configured to:
[0116] In response to the comparison and analysis result indicating that the experimental operation is not standard, send an experimental operation correction prompt information to the experimenter;
[0117] In response to the comparison and analysis result indicating that the experimental operation is standard, send a notice conforming to the experimental operation specification to the experimenter.
[0118] In one embodiment, the experimental auxiliary device further includes:
[0119] A sample information collection and recording module, configured to collect and record the sample information of the experimental sample; the sample information includes sample appearance morphological characteristics, sample name, and sample source.
[0120] In one embodiment, the experimental auxiliary device further includes:
[0121] A group display module, configured to display the groups to be edited of the experimental samples required for the experimental method to be performed;
[0122] A group editing response module, configured to respond to the editing operation of the experimenter on the group, and edit the molecular structure of the experimental sample to obtain the molecular structure of the experimental sample; the editing operation includes: group selection operation, group dragging operation, and group splicing confirmation operation;
[0123] A molecular structure recording module for recording the molecular structure of the experimental sample.
[0124] In one embodiment, the device further includes:
[0125] An augmented reality module for augmenting the current experimental scenario of the experimental method to be experimented.
[0126] In one embodiment, the device further includes:
[0127] A method model option providing module for providing options of method models of multiple experimental methods to the experimenter;
[0128] An execution module for using the method model of the experimental method selected by the experimenter as the method model of the experimental method to be experimented.
[0129] In one embodiment, the device further includes:
[0130] A model parameter acquisition module for acquiring the initial model parameters of the experimental method to be experimented selected by the experimenter; the initial model parameters include the following: the experimental sample required for the experimental method under the corresponding experimental scenario, and the calculation method of the reaction amount of the experimental sample under each experimental condition of the experimental scenario of the experimental method;
[0131] A calculation module for calculating the reaction amount of the experimental sample in the experimental method under the experimental scenario based on the experimental conditions set by the experimenter for the experimental scenario and the calculation method of the experimental sample under the experimental conditions;
[0132] A method model setting module for using the reaction amount of each experimental sample in the experimental scenario of the experimental method as the operation specification information corresponding to the experimental operation in the experimental scenario of the experimental method, so as to obtain the method model to be loaded of the experimental method.
[0133] It should be noted that the relevant content of the above embodiments of the experimental assistance device can refer to the content description of the corresponding embodiments of the experimental assistance method above, and will not be elaborated here.
[0134] See Figure 3 , which is a schematic diagram of an experimental assistance device provided by an embodiment of the present invention. The experimental assistance device of this embodiment includes: a processor 100, a memory 101, and a computer program stored in the memory 101 and executable on the processor 100, such as an experimental assistance program. When the processor 100 executes the computer program, the steps in the above embodiments of each experimental assistance method are implemented, such as Figure 1The steps shown assist in the experiment. Alternatively, when the processor 100 executes the computer program, it implements the functions of each module / unit in the above-described device embodiments, such as experiment assistance.
[0135] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the experiment assistance device.
[0136] The experiment assistance device can be a computer device such as an augmented reality device (e.g., AR glasses), a tablet computer, or a smart phone, etc. The experiment assistance device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the experiment assistance device and does not constitute a limitation on the experiment assistance device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the experiment assistance device may further include input / output devices, network access devices, buses, etc.
[0137] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the experiment assistance device and connects various parts of the entire experiment assistance device through various interfaces and lines.
[0138] The memory can be used to store the computer program and / or module. By running or executing the computer program and / or module stored in the memory, and invoking the data stored in the memory, the processor can implement various functions of the experimental assistance device. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.
[0139] Among them, if the modules / units integrated in the experimental assistance device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.
[0140] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative efforts.
[0141] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications are also regarded as the protection scope of the present invention.
Claims
1. An experimental assistance method, characterized in that, Performed by an experimental auxiliary device, including: Loading a method model of the experimental method to be experimented, where the method model records the operation specification information corresponding to the experimental operations in each experimental scenario of the experimental method; Sending the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter; Collecting and recording the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information; wherein, the collecting and recording the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information includes: taking an experimental operation image of the experimental operations performed by the experimenter in the current experimental scenario based on the operation specification information; performing image analysis on the experimental operation image, and obtaining the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario according to the image analysis result; Wherein, the performing image analysis on the experimental operation image and obtaining the experimental process data generated by the experimental operations performed by the experimenter in the current experimental scenario according to the image analysis result includes: identifying the experimental operation content in the experimental operation image; comparing and analyzing the experimental operation content with the operation specification information; according to the comparison and analysis result, sending a corresponding experimental operation prompt message to the experimenter; wherein, the experimental operation content and the comparison and analysis result are used as the experimental process data generated by the experimenter's current experimental operation; Before the loading the method model of the experimental method to be experimented, the method further includes: Obtaining the initial model parameters of the experimental method to be experimented selected by the experimenter; the initial model parameters include the following contents: the experimental samples required by the experimental method in the corresponding experimental scenario, and the calculation method of the reaction amount of the experimental samples under each experimental condition in the experimental scenario of the experimental method; calculating the reaction amount of the experimental samples in the experimental scenario of the experimental method based on the experimental conditions set by the experimenter for the experimental scenario and the calculation method of the experimental samples under the experimental conditions; taking the reaction amounts of the experimental samples in each experimental scenario of the experimental method as the operation specification information corresponding to the experimental operations in the experimental scenario of the experimental method, so as to obtain the method model of the experimental method to be experimented.
2. The experimental auxiliary method according to claim 1, wherein The operation specification information includes: experimental operation specification actions, experimental specification phenomena, and experimental sample specification amounts; The experimental operation content correspondingly includes: the experimental operation actions of the experimenter, experimental phenomena, and the measured values of the experimental samples by the experimental instruments.
3. The experimental assistance method according to claim 1, characterized in that, The according to the comparison and analysis result, sending a corresponding experimental operation prompt message to the experimenter includes; Responding to the comparison and analysis result that the experimental operation is not standard, and sending an experimental operation correction prompt message to the experimenter; Responding to the comparison and analysis result that the experimental operation is standard, and sending a notice conforming to the experimental operation standard to the experimenter.
4. The experimental assistance method according to claim 1, characterized in that The method further includes: Collect the sample information of the experimental sample and record it; the sample information includes the appearance and morphological characteristics of the sample, the sample name, and the sample source.
5. The experimental assistance method according to claim 1, wherein The method further includes: Display the group to be edited of the experimental sample required for the experimental method to be experimented. In response to the editing operation of the group by the experimenter, edit the molecular structure of the experimental sample to obtain the molecular structure of the experimental sample; the editing operation includes: group selection operation, group dragging operation, and group splicing confirmation operation. Record the molecular structure of the experimental sample.
6. The experimental assistance method according to claim 1, wherein After loading the method model of the experimental method to be experimented and before sending the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter, the method further includes: Perform augmented reality on the current experimental scenario of the experimental method to be experimented.
7. The experimental assistance method according to claim 1, wherein, Before loading the method model of the experimental method to be experimented, the method further includes: Provide the experimenter with options for the method models of multiple experimental methods. Use the method model of the experimental method selected by the experimenter as the method model of the experimental method to be experimented.
8. An experimental auxiliary device, characterized in that, It includes: A model parameter acquisition module, configured to acquire the initial model parameters of the experimental method to be experimented selected by the experimenter; the initial model parameters include the following: the experimental samples required for the experimental method in the corresponding experimental scenario, and the calculation method of the reaction amount of the experimental samples under each experimental condition in the experimental scenario of the experimental method. A calculation module, configured to calculate the reaction amount of the experimental sample in the experimental scenario of the experimental method based on the experimental conditions set by the experimenter for the experimental scenario and the calculation method of the experimental sample under the experimental conditions. A method model setting module, configured to use the reaction amount of each experimental sample in the experimental scenario of the experimental method as the operation specification information corresponding to the experimental operation in the experimental scenario of the experimental method, so as to obtain the method model to be loaded of the experimental method. A method model loading module, configured to load the method model of the experimental method to be experimented, and the method model records the operation specification information corresponding to the experimental operation in each experimental scenario of the experimental method. An information sending module, configured to send the operation specification information corresponding to the experimental operation in the current experimental scenario to the experimenter. A data acquisition and recording module, configured to acquire and record the experimental process data generated by the experimental operation of the experimenter in the current experimental scenario based on the operation specification information. The acquisition and recording of the experimental process data generated by the experimental operation of the experimenter in the current experimental scenario based on the operation specification information includes: Take an experimental operation image of the experimental operation of the experimenter in the current experimental scenario based on the operation specification information. Perform image analysis on the experimental operation image, and obtain the experimental process data generated by the experimental operation of the experimenter in the current experimental scenario according to the image analysis result. Performing image analysis on the experimental operation image, and obtaining experimental process data generated by the experimental operation performed by the experimenter in the current experimental scenario according to the image analysis results, including: Identifying the experimental operation content in the experimental operation image; Comparing and analyzing the experimental operation content with the operation specification information; Sending corresponding experimental operation prompt information to the experimenter according to the comparison and analysis results; Wherein, the experimental operation content and the comparison and analysis results are used as experimental process data generated by the current experimental operation of the experimenter.
9. An experimental auxiliary device, characterized in that, Including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, implementing the experimental assistance method according to any one of claims 1 to 7.
Citation Information
Patent Citations
Artificial intelligence laboratory and use method thereof
CN108525712A