Intelligent weighing and monitoring method, system and equipment for experimental materials and medium

Abstract

The invention discloses an experimental material intelligent weighing and monitoring method, system and device and a medium, and the method comprises the steps: receiving experimental material weighing plan information inputted by a user through an interactive touch screen interface, and generating a weighing plan triggering operation interface; receiving a specific weighing link operation instruction in a weighing process triggered by a user through a weighing plan triggering operation interface, and querying a matched weighing strategy from a weighing strategy database according to the type of an experimental material in a corresponding weighing link, weighing the experimental material to be weighed in the corresponding link according to the weighing strategy inquired in each weighing link to obtain a weighing result; the weighing result is transmitted to the cloud computing platform in real time, whether the weighing result transmitted in real time is abnormal or not is judged through the data analysis technology of the cloud computing platform, and if yes, alarm prompt information is correspondingly generated and sent to the interactive touch screen interface. According to the invention, high-precision intelligent weighing and weighing remote monitoring can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent control, and specifically to a method, system, equipment and medium for intelligent weighing and monitoring of experimental materials. Background Art

[0002] In the current laboratory environment, material weighing is usually done manually. This traditional method is not only inefficient, but also prone to inaccuracy due to human factors. In recent years, with the development of sensor technology and Internet of Things technology, automated weighing systems have gradually received attention. These systems can improve work efficiency and weighing accuracy to a certain extent. For example, in scientific research laboratories, university teaching laboratories, and industrial production quality control departments, the application of automated weighing equipment has achieved initial results, greatly reducing the workload of experimenters and improving the reliability and consistency of experimental data.

[0003] However, most existing automated weighing equipment uses a single weight sensing mechanism and lacks the ability to integrate with external systems and real-time data transmission. These devices can usually only perform simple data recording and processing on site and cannot effectively connect with other laboratory management systems or remote monitoring systems. For example, although the basic automated weighing equipment used in some laboratories can automatically record weighing data, this data needs to be manually exported and imported into other management systems, adding additional workload and potential risk of errors.

[0004] Traditional automated weighing systems cannot achieve real-time data synchronization and remote monitoring. When encountering abnormal situations, it is difficult to detect and take measures in time, which limits its practical value and response speed. Especially in complex experimental processes, timely and accurate weighing data is crucial to the experimental results, and existing systems often cannot provide such immediate feedback and support. Therefore, there is an urgent need for an intelligent weighing system that can achieve real-time data transmission and remote monitoring to meet the needs of modern laboratories for high-precision weighing and immediate response. Summary of the invention

[0005] In order to achieve high-precision intelligent weighing and remote monitoring of weighing, the present application provides a method, system, equipment and medium for intelligent weighing and monitoring of experimental materials.

[0006] In a first aspect, the present application provides a method for intelligently weighing and monitoring experimental materials, comprising: Receiving experimental material weighing plan information input by the user through the interactive touch screen interface, and generating a weighing plan triggering operation interface; the experimental material weighing plan information includes weighing process, experimental material type, experimental material name, expected weighing weight and weighing time; Receive the specific weighing link operation instructions triggered by the user through the weighing plan trigger operation interface to generate the weighing process, query the matching weighing strategy from the weighing strategy database according to the experimental material type in the corresponding weighing link, weigh the experimental materials to be weighed in the corresponding link according to the weighing strategy queried in each weighing link, and obtain the weighing result; the weighing strategy database stores the weighing strategy matching each experimental material type; the weighing strategy includes: weighing sensor type, weighing speed, and stabilization time; The weighing results are transmitted to the cloud computing platform in real time, and the data analysis technology of the cloud computing platform is used to determine whether there are any abnormalities in the weighing results transmitted in real time. If there are any abnormalities, an alarm prompt message is generated and sent to the interactive touch screen interface; the determination of whether there are any abnormalities in the weighing results transmitted in real time includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weighing weight of the corresponding link exceeds a preset threshold.

[0007] By adopting the above solution, the detailed experimental material weighing plan information input by the user is received to ensure that each weighing can select the optimal weighing strategy for the specific experimental material type and weighing link, thereby achieving high-precision weighing; the weighing results are transmitted to the cloud computing platform in real time, and the cloud computing platform is used to promptly discover weighing anomalies and realize remote monitoring, thereby improving the safety and reliability of the experiment; an interactive touch screen interface is designed, and users can easily input the experimental material weighing plan information and operation instructions, thereby simplifying the operation process and improving the user experience.

[0008] Preferably, it also includes: Collect environmental data of the weighing process in real time and transmit it to the cloud computing platform; When weighing the experimental materials to be weighed, the preset weighing environment data range that matches is queried according to the experimental material name in the corresponding weighing link, and it is determined whether the environmental data at the corresponding moment is within the queried preset weighing environment data range; experimental materials with different material names are all set with preset weighing environment data ranges that match them; If so, compensation operation is not performed on the weighing result; if not, a weighing result compensation model that matches the experimental material name in the corresponding weighing link is queried, the obtained weighing result and environmental data are input into the queried weighing result compensation model to obtain the compensated weighing result, and the compensated weighing result is used to replace the weighing result to determine whether there is an abnormality; the cloud computing platform stores weighing result compensation models that match each experimental material name, and each weighing result compensation model is generated through training of historical material weighing results of the material name that matches it, historical environmental data, and actual material weight as the compensated weighing result.

[0009] By adopting the above solution, taking into account the weighing errors of some materials caused by environmental changes, the weighing environment data is monitored in real time, and the weighing result compensation model of the corresponding material is called in time to compensate the weighing result to ensure that the final weighing result is more accurate.

[0010] Preferably, the weighing strategy further includes: weighing protection measures; When weighing the experimental materials to be weighed, a corresponding protection device start-up instruction is generated according to the weighing protection measures in the weighing strategy queried according to each weighing link, so as to use the running protection device to start the weighing protection; the protection device includes: a sealing device, a drying device and an electromagnetic shielding device.

[0011] By adopting the above solution, multiple protections are provided during the weighing process of experimental materials, effectively preventing external interference and safety risks, and further improving weighing accuracy.

[0012] Preferably, it also includes: When searching for a matching weighing strategy, query the characteristic label of the experimental material according to the experimental material name and the experimental material type, wherein the characteristic label of the experimental material includes: stability level, volatility level and hygroscopicity level; The characteristic labels of the retrieved experimental materials are input into the weighing strategy adjustment model that matches the experimental material name in the corresponding weighing link to obtain the weighing speed and stabilization time to be adjusted; the cloud computing platform stores the weighing strategy adjustment model that matches each material name, and each weighing strategy adjustment model is generated by training the weighing speed and stabilization time under the condition that the historical material characteristic labels corresponding to the material name that matches it, the historical weighing results and the minimum deviation from the actual material weight; The weighing speed and stabilization time in the weighing strategy matched by the query are adjusted, and the weighing speed and stabilization time in the original weighing strategy are replaced by the weighing speed and stabilization time to be adjusted.

[0013] By adopting the above scheme, in addition to the errors caused by environmental influences on material weighing, the weighing instability caused by changes in material properties is taken into consideration. To ensure the smooth progress of the weighing process, the weighing speed and stabilization time during the weighing process are dynamically adjusted according to the specific characteristics of different experimental materials to improve the weighing accuracy and stability.

[0014] Preferably, it also includes: When receiving the experimental material weighing plan information input by the user through the interactive touch screen interface, the user identity information input through the interactive touch screen interface is simultaneously received, and the weighing plan information is associated with the user identity information and stored; When receiving a weighing plan modification instruction or a weighing result query instruction input by a user through the interactive touch screen interface, generating identity authentication information and displaying it on the interactive touch screen interface; Receive the identity verification information input by the user through the interactive touch screen interface, compare the identity verification information with the stored user identity information for consistency, and when the comparison results are consistent, confirm that the identity verification information is correct, and execute the weighing plan modification instruction or weighing result query.

[0015] By adopting the above scheme, considering the security and information traceability of the experimental material weighing information, identity information verification is introduced to ensure the security of the system and prevent unauthorized personnel from tampering with the weighing plan or querying the weighing results.

[0016] Preferably, it also includes: When an alarm prompt message is generated and sent to the interactive touch screen interface, a prompt message for determining whether the weighing operation is wrong is simultaneously sent to the interactive touch screen interface; When receiving information inputted by the user through the interactive touch screen interface indicating that there is no weighing operation error, photographing the experimental material using a camera device and identifying the type of the experimental material; Compare and identify whether the type of experimental material is the same as the type of experimental material in the corresponding weighing link. If they are the same, verify that the user's input to confirm that there is no weighing operation error information is correct, and use the spare sensor with the same type of weighing sensor in the queried weighing strategy to re-weigh the experimental material to be weighed in the corresponding link to obtain the weighing result again.

[0017] By adopting the above solution, taking into account the weighing errors caused by user weighing operation errors or sensor failures, by eliminating the errors that may be caused by user weighing operations, re-weighing with spare sensors, ensuring the accuracy and reliability of the weighing results, and reducing misjudgments caused by sensor failures or abnormalities.

[0018] Preferably, it also includes: If the error between the re-obtained weighing result and the originally obtained weighing result is not greater than the preset error, and the weight deviation between the re-weighing result and the expected weighing weight exceeds the preset threshold, a prompt message for replacing the idle weighing device is generated accordingly, and the experimental material weighing plan information, the completed weighing process information and the obtained weighing results are transmitted to the idle weighing device.

[0019] By adopting the above solution, when there are still deviations in the re-weighing results, based on the information interaction capability between the weighing device and the cloud computing platform, the information of the weighing device can be directly imported, and the weighing can be continued using the idle weighing device, thereby ensuring the accuracy and reliability of the weighing process.

[0020] In a second aspect, the present application provides a system for intelligent weighing and monitoring of experimental materials, comprising: The weighing plan information acquisition module is used to receive the experimental material weighing plan information input by the user through the interactive touch screen interface and generate a weighing plan triggering operation interface; the experimental material weighing plan information includes the weighing process, experimental material type, experimental material name, expected weighing weight and weighing time; The weighing strategy and result acquisition module is used to receive the specific weighing link operation instructions generated by the user through the weighing plan trigger operation interface, query the matching weighing strategy from the weighing strategy database according to the experimental material type in the corresponding weighing link, weigh the experimental materials to be weighed in the corresponding link according to the weighing strategy queried in each weighing link, and obtain the weighing result; the weighing strategy database stores the weighing strategy matching each experimental material type; the weighing strategy includes: weighing sensor type, weighing speed, and stabilization time; The weighing result verification and warning module is used to transmit the weighing results to the cloud computing platform in real time, and use the data analysis technology of the cloud computing platform to determine whether there are any abnormalities in the weighing results transmitted in real time. If there are any abnormalities, an alarm prompt message is generated and sent to the interactive touch screen interface; the judgment of whether there are any abnormalities in the weighing results transmitted in real time includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weighing weight of the corresponding link exceeds a preset threshold.

[0021] By adopting the above solution, a weighing strategy suitable for the type of experimental material is selected based on the experimental material weighing plan information input through the interactive interface, and the weighing results are transmitted to the cloud computing platform for data analysis, thereby achieving high-precision weighing of experimental materials and real-time remote monitoring, greatly improving experimental efficiency and data security.

[0022] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method as described above.

[0023] In a fourth aspect, the present application provides a computer device, comprising a memory, a processor, and a program stored and executable on the memory, wherein the program implements the steps of the above method when executed by the processor.

[0024] In summary, this application has the following beneficial effects: 1. Receive the experimental material weighing plan information input by the user to ensure that each weighing can select the optimal weighing strategy for the specific experimental material type and weighing requirements, avoid a single weighing method, and achieve the accuracy and stability of the weighing results; upload the obtained weighing results to the cloud computing platform, use the cloud computing platform to perform data analysis, timely discover abnormal weighing results and give warnings, and realize remote monitoring; 2. The environmental data collection and weighing result compensation functions are introduced to ensure the accuracy and consistency of weighing results under different environmental conditions; considering the characteristics of the experimental materials themselves, the weighing speed and stabilization time in the weighing process are dynamically adjusted according to the specific characteristics of different experimental materials to ensure the flexibility and accuracy of the weighing process; 3. It provides a personalized operation interface and a strict identity authentication mechanism, which enhances the user's operating experience and system reliability, ensures that each weighing operation is traceable, and enhances the sense of responsibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of the method for intelligent weighing and monitoring of experimental materials described in a specific embodiment; Figure 2 It is a structural schematic diagram of the system for intelligent weighing and monitoring of experimental materials described in a specific embodiment. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] like Figure 1 As shown, the embodiment of the present application discloses a method for intelligent weighing and monitoring of experimental materials, and the specific steps include: S1. Receive the experimental material weighing plan information input by the user through the interactive touch screen interface, and generate a weighing plan triggering operation interface.

[0028] Specifically, an intelligent weighing device with an interactive touch screen interface is designed, including a variety of high-precision sensors, a support frame, a data calculation and storage module (chip) for storing various types of data, and an auxiliary protection device, to receive the experimental material weighing plan information input by the user through the interactive touch screen interface. The experimental material weighing plan information includes information such as the weighing process, the type of experimental material, the name of the experimental material, the expected weighing weight, and the weighing time; wherein the weighing process input by the user mainly includes several weighing links, and each weighing link records the type of experimental material, the name of the experimental material, the expected weighing weight, and the weighing time. The information of the above weighing links can be directly input by the user or by scanning the RFID tag or barcode equipped with the experimental material corresponding to each weighing link to identify the type, name, expected weight, and other information of the experimental material associated with the RFID.

[0029] The experimental material types can be divided into several types according to specific classification standards, such as: according to the stability of the experimental materials, they can be divided into stable materials, volatile materials, and moisture-absorbing materials, etc., or according to the form of the experimental materials, they can be divided into gaseous materials, liquid materials, solid materials, etc. In this embodiment, the stability of the material is used as the classification standard, and on the basis of this classification standard, it can also be further classified whether the material is a magnetic material.

[0030] After obtaining the experimental material weighing plan information input by the user, a weighing plan triggering operation interface is generated and displayed on the interactive touch screen; the weighing plan triggering operation interface includes: an operation button generated for each weighing link in the experimental material weighing plan information input by the user, so that the user can trigger the button to generate specific weighing link operation instructions.

[0031] S2. Receive the specific weighing operation instructions generated by the user through the weighing plan triggering operation interface, query the matching weighing strategy and complete the weighing.

[0032] Specifically, when a specific weighing link operation instruction is received, the weighing of the specific weighing link is started accordingly. In order to achieve accurate measurement, the weighing strategy matching the experimental material type in the specific weighing link is queried in advance from the weighing strategy database. The weighing strategy database stores the weighing strategy matching each experimental material type, such as: a first weighing strategy matching a stable material, a second weighing strategy matching a volatile material type, and a third weighing strategy matching a hygroscopic material. The weighing strategy database is stored in the data calculation and storage module.

[0033] The above weighing strategies all include: weighing sensor type (such as: electromagnetic force weighing sensor, photoelectric weighing sensor, beam weighing sensor, etc.), weighing speed, stabilization time, etc., that is, using the sensor of the weighing sensor type in the strategy, after the stabilization time in the strategy, weighing measurement is performed at the weighing speed in the strategy, and protective measures can be selected to be enabled during weighing measurement; specifically, the first weighing strategy includes using the electromagnetic force weighing sensor, after the first stabilization time, weighing measurement is performed at the first weighing speed; the second weighing strategy includes using the photoelectric weighing sensor, after the second stabilization time, weighing measurement is performed at the second weighing speed; the third weighing strategy includes using the beam weighing sensor, after the third stabilization time, weighing measurement is performed at the third weighing speed; wherein, the second stabilization time, the third stabilization time, and the first stabilization time increase in sequence, and the second weighing speed, the third weighing speed, and the first weighing speed increase in sequence.

[0034] According to the weighing strategy queried in each weighing link, the experimental materials to be weighed in the corresponding link are weighed to obtain the weighing results. For example, at the current moment, the specific weighing link operation instruction received is: the expected weight is 50ml of ethanol weighing link. According to the photoelectric weighing sensor matched with the volatile material type in the weighing link, after the second stabilization time, the experimental materials to be weighed are weighed at the second weighing speed to obtain the weighing results.

[0035] In addition, in order to further ensure the accuracy of the weighing results, the weighing strategies matched with each experimental material type include: weighing protection measures. Specifically, when weighing the experimental materials to be weighed, the corresponding protection device startup instructions are generated according to the weighing protection measures in the weighing strategies queried according to each weighing link, so as to use the running protection devices to start weighing protection; the protection devices include: closing devices, drying devices, electromagnetic shielding devices, anti-static devices, fixing devices, etc. Specifically, the first weighing strategy includes electromagnetic shielding devices, anti-static devices, and fixing devices; the second weighing strategy includes closing devices and fixing devices filled with inert gas; the second weighing strategy includes drying devices and fixing devices; such as: the specific weighing link operation instruction received at the current moment is: the ethanol weighing link with an expected weight of 50ml, according to the weighing link, the corresponding closing device filled with inert gas is opened, the weighing device is closed and filled with nitrogen, the contact between ethanol and air is reduced, and the volatilization rate is reduced.

[0036] S3. The weighing results are transmitted to the cloud computing platform in real time, and the data analysis technology of the cloud computing platform is used to realize remote monitoring of the weighing results.

[0037] Specifically, considering that the cloud computing platform has rich computing resources and can realize remote monitoring mechanism, it allows real-time access to weighing data and historical statistics, strengthens laboratory safety management, and establishes a wireless communication connection between the weighing device and the cloud computing platform. Wi-Fi or Bluetooth technology can be used, or 4G or 5G network modules can be selected to meet the data transmission needs in different scenarios, and the weighing results are transmitted to the cloud computing platform in real time. The data analysis technology of the cloud computing platform is used to determine whether the weighing results transmitted in real time are abnormal. If there are abnormalities, an alarm prompt message is generated and sent to the interactive touch screen interface; the judgment of whether the weighing results transmitted in real time are abnormal includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weight of the corresponding link exceeds the preset threshold.

[0038] In a specific embodiment, considering that after the weighing result is output abnormally, the cause of the abnormality is eliminated and the weighing plan is completed, the method further includes: S4. Verify the abnormal weighing result and weigh it again.

[0039] Specifically, considering that abnormal weighing results may be caused by the user's incorrect placement of the materials to be weighed or the user triggering the wrong weighing link, resulting in abnormal weighing results, when an alarm prompt message is generated and sent to the interactive touch screen interface, a prompt message to determine whether the weighing operation is wrong is simultaneously sent to the interactive touch screen interface, so that the user can re-determine whether there is an error in his or her own operation and enter feedback information.

[0040] When the information confirming that there is no weighing operation error is received from the user through the interactive touch screen interface, it indicates that the user has preliminarily verified that there is no erroneous operation. In order to further avoid the user's unawareness of his own erroneous operation, the experimental materials are photographed by a camera device, and the image recognition technology is combined to identify the category of the experimental materials.

[0041] Compare and identify whether the type of experimental material is the same as the type of experimental material in the weighing link selected by the user at the current moment.

[0042] If they are the same, verify that the user input confirms that there is no weighing operation error information and it is correct, thereby eliminating the cause of user operation error. It indicates that it is most likely due to sensor failure. Then use the spare sensor of the same type of weighing sensor in the queried weighing strategy to re-weigh the experimental materials to be weighed in the corresponding link and obtain the weighing result again.

[0043] In addition, in order to prevent the weighing device currently in use from completely malfunctioning, multiple weighing devices can be connected to the computing platform to achieve the interaction of weighing results, and the error between the re-obtained weighing result and the originally obtained weighing result is continued to be compared. If the error between the re-obtained weighing result and the originally obtained weighing result is not greater than the preset error, and the weight deviation between the re-weighing result and the expected weighing weight exceeds the preset threshold, it indicates that the weighing device used previously is likely to be completely malfunctioning. In this case, a prompt message for replacing the idle weighing device is generated accordingly, and the experimental material weighing plan information, the completed weighing process information and the obtained weighing results are transmitted to the idle weighing device together, so that the user can use the idle weighing device to continue re-weighing.

[0044] In a specific embodiment, considering the influence of environmental changes on the weighing results, in order to avoid errors caused by environmental factors, environmental data collection and compensation functions are added to more accurately reflect the actual weighing results. The method further includes: The environmental data of the weighing process is collected in real time and transmitted to the cloud computing platform; the environmental data includes temperature, humidity, air pressure and other data, which are collected by temperature and humidity sensors and air pressure sensors, and transmitted to the cloud computing platform together with the weighing data.

[0045] When weighing the experimental materials to be weighed, considering that the specific experimental materials are least affected under specific environmental data, this specific environmental data is recorded as the preset weighing environmental data, and according to the historical weighing results and actual weights of the specific experimental materials under different environmental data, the environmental data whose difference between the historical weighing results and the actual weight is less than a preset threshold can be determined as the preset weighing environmental data; according to the experimental material name in the corresponding weighing link, the preset weighing environmental data range that matches is queried, and it is judged whether the environmental data at the corresponding moment is within the queried preset weighing environmental data range; among them, experimental materials with different material names are all set with preset weighing environmental data ranges that match them.

[0046] If it is, it indicates that the current environment has little effect on the weighing data, and compensation operation is not performed on the weighing result; if it is not, it indicates that the current environment may have an impact on the weighing data, query the weighing result compensation model that matches the experimental material name in the corresponding weighing link, input the obtained weighing result and environmental data into the queried weighing result compensation model, obtain the compensated weighing result, and replace the weighing result with the compensated weighing result to judge whether there is any abnormality.

[0047] The cloud computing platform stores a weighing result compensation model that matches each experimental material name. The weighing plan information is synchronously stored in the cloud computing platform when the user inputs it. When it is determined that the environmental data at the current weighing moment is not within the preset weighing environment range, the weighing result compensation model that matches the experimental material name in the corresponding weighing link is queried. Each weighing result compensation model uses a neural network model. The input of the model is weighing data and environmental data, and the output is compensated weighing data. It is specifically generated by training the historical material weighing results, historical environmental data, and actual material weight of the material corresponding to the material name that matches the current weighing result compensation model as the compensated weighing result.

[0048] In a specific embodiment, in addition to the influence of environmental factors on the weighing results, materials with different characteristics also have an influence on the weighing results. For example, materials with different volatility have more detailed requirements for weighing. The weighing strategy is dynamically adjusted according to different experimental material characteristics to improve the accuracy and stability of material weighing. The method also includes: When querying the matching weighing strategy, the result material knowledge graph queries the characteristic labels of the experimental materials according to the experimental material name and the experimental material type. The characteristic labels of the experimental materials include: stability level (such as: 1-2 levels, respectively indicating the degree of thermal stability), volatility level (such as: 1-3 levels, corresponding to different ranges of volatilization speed, respectively) and hygroscopicity level (such as: 1-3 levels, corresponding to different ranges of moisture absorption speed, respectively).

[0049] The characteristic labels of the retrieved experimental materials are input into the weighing strategy adjustment model that matches the experimental material type in the corresponding weighing link to obtain the weighing speed and stabilization time to be adjusted.

[0050] Among them, the cloud computing platform stores a weighing strategy adjustment model matching each material type, and the weighing plan information will be synchronously stored in the cloud computing platform when the user inputs it, and the weighing strategy adjustment model matching the experimental material type in the corresponding weighing link will be queried; the cloud computing platform stores a weighing strategy adjustment model matching each material type, such as: a first weighing strategy adjustment model matching a stable material, a second weighing strategy adjustment model matching a volatile material type, and a third weighing strategy adjustment model matching a moisture-absorbing material; each weighing strategy adjustment model adopts a neural network model, the input of the model is the experimental material characteristic label, and the output is the weighing speed and stabilization time to be adjusted, which is specifically generated by training the historical material characteristic label of the material corresponding to the material type matching the weighing strategy adjustment model, and the weighing speed and stabilization time under the condition of minimum deviation between the historical weighing results and the actual material weight.

[0051] For example, the current weighing process of ethanol with an expected weight of 50 ml is being carried out, and the ethanol volatilization rate is within the volatilization rate range of volatility level 2. The characteristic label of the current material to be tested is volatility level 2, and the volatility level 2 is input into the second weighing strategy adjustment model that matches the volatile material type to obtain the weighing speed and stabilization time with the best weighing effect corresponding to volatility level 2, that is, the weighing speed and stabilization time to be adjusted output by the model.

[0052] The weighing speed and stabilization time in the weighing strategy matched by the query (such as the second weighing strategy) are adjusted, and the weighing speed and stabilization time in the original weighing strategy are replaced by the weighing speed and stabilization time to be adjusted.

[0053] In a specific embodiment, considering the security of experimental weighing data access and experimental weighing plan modification, the method further includes: When receiving the experimental material weighing plan information input by the user through the interactive touch screen interface, the user identity information input through the interactive touch screen interface is simultaneously received, and the weighing plan information and the user identity information are associated and stored, which can be transmitted to the cloud computing platform.

[0054] When receiving a weighing plan modification instruction or a weighing result query instruction input by the user through the interactive touch screen interface, identity authentication information is generated and displayed on the interactive touch screen interface.

[0055] Receive the identity verification information input by the user through the interactive touch screen interface, compare the identity verification information with the stored user identity information for consistency, and when the comparison results are consistent, confirm that the identity verification information is correct, and execute the weighing plan modification instruction or weighing result query.

[0056] like Figure 2 As shown, the embodiment of the present application discloses a system for intelligent weighing and monitoring of experimental materials, including: The weighing plan information acquisition module 101 is used to receive the experimental material weighing plan information input by the user through the interactive touch screen interface and generate a weighing plan triggering operation interface; the experimental material weighing plan information includes the weighing process, experimental material type, experimental material name, expected weighing weight and weighing time; The weighing strategy and result acquisition module 102 is used to receive the specific weighing link operation instructions generated by the user through the weighing plan trigger operation interface, query the matching weighing strategy from the weighing strategy database according to the experimental material type in the corresponding weighing link, weigh the experimental materials to be weighed in the corresponding link according to the weighing strategy queried in each weighing link, and obtain the weighing result; the weighing strategy database stores the weighing strategy matching each experimental material type; the weighing strategy includes: weighing sensor type, weighing speed, and stabilization time; The weighing result verification and warning module 103 is used to transmit the weighing result to the cloud computing platform in real time, and use the data analysis technology of the cloud computing platform to determine whether there is any abnormality in the weighing result transmitted in real time. If there is an abnormality, an alarm prompt information is generated and sent to the interactive touch screen interface; the judgment of whether there is an abnormality in the weighing result transmitted in real time includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weighing weight of the corresponding link exceeds a preset threshold.

[0057] The system further comprises: The weighing result re-acquisition module 104 is used to generate an alarm prompt message and send it to the interactive touch screen interface, and simultaneously send a prompt message to the interactive touch screen interface to determine whether the weighing operation is wrong; when receiving the information input by the user through the interactive touch screen interface to determine that there is no weighing operation error, use the camera device to shoot the experimental material and identify the category of the experimental material; compare and identify whether the type of the experimental material is the same as the type of the experimental material in the corresponding weighing link. If they are the same, verify that the information input by the user to determine that there is no weighing operation error is correct, and use the spare sensor with the same type of weighing sensor in the queried weighing strategy to re-weigh the experimental materials to be weighed in the corresponding link to re-obtain the weighing result; it is also used to generate a prompt message for replacing the idle weighing device if the error between the re-obtained weighing result and the original weighing result is not greater than the preset error, and the weight deviation between the re-weighing result and the expected weighing weight exceeds the preset threshold, and transmit the experimental material weighing plan information, the completed weighing process information and the acquired weighing result to the idle weighing device.

[0058] The weighing strategy adjustment module 105 is used to query the characteristic labels of the experimental materials according to the experimental material names and experimental material types when querying the matched weighing strategies, wherein the characteristic labels of the experimental materials include: stability level, volatility level and hygroscopicity level; the characteristic labels of the queried experimental materials are input into the weighing strategy adjustment model that matches the experimental material names in the corresponding weighing links to obtain the weighing speed and stabilization time to be adjusted; the cloud computing platform stores the weighing strategy adjustment model that matches each material name, and each weighing strategy adjustment model is generated by training the weighing speed and stabilization time under the condition that the historical material characteristic labels corresponding to the matched material names, the historical weighing results and the actual material weight deviation are minimized according to the historical material characteristic labels corresponding to the matched material names; the weighing speed and stabilization time in the weighing strategy that is queried and matched are adjusted, and the weighing speed and stabilization time in the original weighing strategy are replaced by the weighing speed and stabilization time to be adjusted.

[0059] The weighing result compensation module 106 is used to collect the environmental data of the weighing process in real time and transmit it to the cloud computing platform; when weighing the experimental materials to be weighed, the preset weighing environmental data range that matches the experimental material name in the corresponding weighing link is queried to determine whether the environmental data at the corresponding moment is within the queried preset weighing environmental data range; experimental materials with different material names are all provided with preset weighing environmental data ranges that match them; if they are, compensation operation is not performed on the weighing result; if not, the weighing result compensation model that matches the experimental material name in the corresponding weighing link is queried, and the obtained weighing result and environmental data are input into the queried weighing result compensation model to obtain the compensated weighing result, and the compensated weighing result is used to replace the weighing result to determine whether there is an abnormality; the cloud computing platform stores a weighing result compensation model that matches each experimental material name, and each weighing result compensation model is generated by training the historical material weighing results, historical environmental data corresponding to the material name that matches it, and the actual material weight as the compensated weighing result.

[0060] The weighing process identity authentication module 107 is used to receive the experimental material weighing plan information input by the user through the interactive touch screen interface, simultaneously receive the user identity information input through the interactive touch screen interface, and store the weighing plan information in association with the user identity information; when receiving the weighing plan modification instruction or weighing result query instruction input by the user through the interactive touch screen interface, generate identity authentication information and display it on the interactive touch screen interface; receive the identity information verification information input by the user through the interactive touch screen interface, compare the identity information verification information with the stored user identity information for consistency, and when the comparison results are consistent, confirm that the identity information verification information is correct, and execute the weighing plan modification instruction or weighing result query.

[0061] The embodiment of the present application also discloses a computer-readable storage medium.

[0062] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and execute the method for intelligent weighing and monitoring of experimental materials as described above. The computer-readable storage medium includes, for example: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0063] The embodiment of the present application also discloses a computer device.

[0064] Specifically, the computer device includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above-mentioned method for intelligent weighing and monitoring of experimental materials.

[0065] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for intelligent weighing and monitoring of experimental materials, characterized in that: include: Receive the experimental material weighing plan information input by the user through the interactive touch screen interface, and generate a weighing plan triggering operation interface; The experimental material weighing plan information includes weighing process, experimental material type, experimental material name, expected weighing weight and weighing time; Receive the specific weighing link operation instructions triggered by the user through the weighing plan trigger operation interface, query the matching weighing strategy from the weighing strategy database according to the experimental material type in the corresponding weighing link, weigh the experimental materials to be weighed in the corresponding link according to the weighing strategy queried in each weighing link, and obtain the weighing results; The weighing strategy database stores a weighing strategy matching each experimental material type; the weighing strategy includes: weighing sensor type, weighing speed, and stabilization time; The weighing results are transmitted to the cloud computing platform in real time, and the data analysis technology of the cloud computing platform is used to determine whether there are any abnormalities in the weighing results transmitted in real time. If there are any abnormalities, an alarm prompt message is generated and sent to the interactive touch screen interface; the determination of whether there are any abnormalities in the weighing results transmitted in real time includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weighing weight of the corresponding link exceeds a preset threshold.

2. The method for intelligent weighing and monitoring of experimental materials according to claim 1, characterized in that: Also includes: Collect environmental data of the weighing process in real time and transmit it to the cloud computing platform; When weighing the experimental materials to be weighed, the preset weighing environment data range that matches is queried according to the experimental material name in the corresponding weighing link, and it is determined whether the environmental data at the corresponding moment is within the queried preset weighing environment data range; experimental materials with different material names are all set with preset weighing environment data ranges that match them; If it is, the weighing result is not compensated; if it is not, the weighing result compensation model matching the experimental material name in the corresponding weighing link is queried, the weighing result and environmental data are input into the queried weighing result compensation model, and the compensated weighing result is obtained, and the weighing result is replaced by the compensated weighing result to judge whether there is an abnormality; The cloud computing platform stores a weighing result compensation model that matches each experimental material name. Each weighing result compensation model is generated through training of historical material weighing results, historical environmental data, and actual material weight as compensated weighing results corresponding to the matching material name.

3. The method for intelligent weighing and monitoring of experimental materials according to claim 1, characterized in that: The weighing strategy also includes: weighing protection measures; When weighing the experimental materials to be weighed, a corresponding protection device start-up instruction is generated according to the weighing protection measures in the weighing strategy queried according to each weighing link, so as to use the running protection device to start the weighing protection; the protection device includes: a sealing device, a drying device and an electromagnetic shielding device.

4. The method for intelligent weighing and monitoring of experimental materials according to claim 1, characterized in that: Also includes: When searching for a matching weighing strategy, query the characteristic label of the experimental material according to the experimental material name and the experimental material type, wherein the characteristic label of the experimental material includes: stability level, volatility level and hygroscopicity level; The characteristic labels of the retrieved experimental materials are input into the weighing strategy adjustment model that matches the experimental material name in the corresponding weighing link to obtain the weighing speed and stabilization time to be adjusted; the cloud computing platform stores the weighing strategy adjustment model that matches each material name, and each weighing strategy adjustment model is generated by training the weighing speed and stabilization time under the condition that the historical material characteristic labels corresponding to the material name that matches it, the historical weighing results and the minimum deviation from the actual material weight; The weighing speed and stabilization time in the weighing strategy matched by the query are adjusted, and the weighing speed and stabilization time in the original weighing strategy are replaced by the weighing speed and stabilization time to be adjusted.

5. The method for intelligent weighing and monitoring of experimental materials according to claim 1, characterized in that: Also includes: When receiving the experimental material weighing plan information input by the user through the interactive touch screen interface, the user identity information input through the interactive touch screen interface is simultaneously received, and the weighing plan information is associated with the user identity information and stored; When receiving a weighing plan modification instruction or a weighing result query instruction input by a user through the interactive touch screen interface, generating identity authentication information and displaying it on the interactive touch screen interface; Receive the identity verification information input by the user through the interactive touch screen interface, compare the identity verification information with the stored user identity information for consistency, and when the comparison results are consistent, confirm that the identity verification information is correct, and execute the weighing plan modification instruction or weighing result query.

6. The method for intelligent weighing and monitoring of experimental materials according to claim 3, characterized in that: Also includes: When an alarm prompt message is generated and sent to the interactive touch screen interface, a prompt message for determining whether the weighing operation is wrong is simultaneously sent to the interactive touch screen interface; When receiving information inputted by the user through the interactive touch screen interface indicating that there is no weighing operation error, photographing the experimental material using a camera device and identifying the type of the experimental material; Compare and identify whether the type of experimental material is the same as the type of experimental material in the corresponding weighing link. If they are the same, verify that the user's input to confirm that there is no weighing operation error information is correct, and use the spare sensor with the same type of weighing sensor in the queried weighing strategy to re-weigh the experimental material to be weighed in the corresponding link to obtain the weighing result again.

7. The method for intelligent weighing and monitoring of experimental materials according to claim 6, characterized in that: Also includes: If the error between the re-obtained weighing result and the originally obtained weighing result is not greater than the preset error, and the weight deviation between the re-weighing result and the expected weighing weight exceeds the preset threshold, a prompt message for replacing the idle weighing device is generated accordingly, and the experimental material weighing plan information, the completed weighing process information and the obtained weighing results are transmitted to the idle weighing device.

8. A system for intelligent weighing and monitoring of experimental materials, characterized in that: include: The weighing plan information acquisition module is used to receive the experimental material weighing plan information input by the user through the interactive touch screen interface and generate a weighing plan triggering operation interface; The experimental material weighing plan information includes weighing process, experimental material type, experimental material name, expected weighing weight and weighing time; The weighing strategy and result acquisition module is used to receive the specific weighing link operation instructions generated by the user through the weighing plan trigger operation interface, query the matching weighing strategy from the weighing strategy database according to the experimental material type in the corresponding weighing link, weigh the experimental materials to be weighed in the corresponding link according to the weighing strategy queried in each weighing link, and obtain the weighing results; The weighing strategy database stores a weighing strategy matching each experimental material type; the weighing strategy includes: weighing sensor type, weighing speed, and stabilization time; The weighing result verification and warning module is used to transmit the weighing results to the cloud computing platform in real time, and use the data analysis technology of the cloud computing platform to determine whether there are any abnormalities in the weighing results transmitted in real time. If there are any abnormalities, an alarm prompt message is generated and sent to the interactive touch screen interface; the judgment of whether there are any abnormalities in the weighing results transmitted in real time includes: the weight deviation between the real-time weighing result of a single weighing link and the expected weighing weight of the corresponding link exceeds a preset threshold.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer device, characterized in that: The computer device comprises a memory, a processor and a program stored and executable on the memory, and the program implements the steps of the method according to any one of claims 1 to 7 when executed by the processor.

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