The business complexity problem that laboratory testing cannot avoid, see how I use smardaten to solve it!

1. Project Background

Hello, friends, a classmate of mine who was studying in Nanjing found me these days. He said that their laboratory under a material research institute is facing an urgent task. The task is as follows: the laboratory needs personnel now There is a high degree of close collaboration, while the possibility of error must be minimized in producing results. In this process, it involves the continuity of the series of documents, the process control of samples, the input and output of equipment data, and the accurate recording of experimental results, etc., which greatly increases the business complexity of the laboratory material testing system.

And as time goes by, the number of testing personnel and testing equipment continues to increase, making the management of laboratories and affiliated material factories more and more difficult. Under such circumstances, the authenticity and reliability of experimental testing and factory production data are on the contrary showing a downward trend. Moreover, due to the surge in the amount of data, intuitive analysis of the data has become increasingly difficult, and it has become extremely difficult to construct complex algorithm models, which is necessary to advance and improve the experimental detection process.

After listening to the description given to me by my classmates, I directly recommended smardaten to him, because this kind of business is very complicated and cumbersome. In fact, I also encountered problems in our laboratory, and I solved them easily through the system built by smardaten. So how does smardaten show its talents in front of such problems? Let's have a look with Zhouzhou!

2. Requirements for complex scenarios

Through the above related descriptions, let's experience how to use smardaten to solve the problem of business complexity in an immersive way. First, let's clarify the scene requirements.

To build a laboratory sample testing system, it is necessary to complete the whole process information management from order placing, task assignment, sample registration, receiving, sample preparation, experimental testing, etc., and also include functions such as contract management, report preparation, and signature management.

For example, the following instantiated business requirements:
1. Support multi-sample parallel detection under one order, and the sample information is automatically filled in the whole process;
2. Support newly added panorama status view based on order, and quickly check the overall progress globally;
3. Support All approval and rollback operations are recorded in logs for later audit or statistical analysis;
4. Support different roles and different user permission configurations, view statistical analysis information and quickly process business.

3. Construction of business framework

Because in addition to the access and monitoring of the underlying data, the business of the laboratory also involves the first-level and second-level nested business structures such as sample inspection management, resource management management, operation and maintenance management, and quality system management. Therefore, when designing the business framework, the following design can be carried out:

Through the final system designed, as shown in the sample system in the figure below, it can be seen that the overall architecture is multi-level nested and very complex.

4. Realization of complex scenes

4.1 Construction of laboratory workbench

Although the laboratory workbench is relatively complicated, the relationship binding between the navigation menu and the page can be managed through smardaten: multi-level nesting is supported, and multiple navigation layouts are displayed.

• The navigation top bar supports different component embedding, custom design and secondary development integration.
  

4.2 Laboratory process authority management

The role types corresponding to the general business process of the whole experiment detection management, and the corresponding business functions are shown in the figure below. All roles and permissions involve the assignment of all functional pages, business process configuration, functional logic configuration, etc., and the complexity of the process is visible to the eye.

4.2.1 Multi-organization role management

In order to control the access and operation rights of users or roles to various components in the system, as well as different process approvals, an entrance for unified management of organizational personnel and roles is provided.

4.2.2 Role Empowerment

Permissions for each role are different. By defining different roles (app & system roles) and assigning corresponding permissions (app & menu), you can ensure that only authorized users can access specific pages.

4.2.3 Data Empowerment

If the person in charge of samples can only view the samples they are responsible for, the sample administrator can view all samples. Through the condition judgment combination of the rule group, the corresponding data can be viewed for the personnel who meet different conditions.

4.2.4 Testing process approval

If the sample is in the testing process, after the sample manager is required to distribute the sample, the person in charge of the sample will carry out the testing logic. According to the definition of organizational users and roles, the processing roles of different business processes can be selected.

4.3 Unified management of equipment testing data

Laboratory management involves equipment data access, inspection personnel filling in data, approval and transfer of data, and data flow is complex and difficult to manage.

This problem can be solved very well through smardaten, because smardaten provides directory management data assets, and the bottom layer is managed uniformly, which is convenient for backtracking and supervision.

As shown in the figure below, smardaten implements visualized multi-dimensional data management, analyzes data lineage management, provides metadata management, and built-in AI quality inspection to assist users in decision-making, and controls permissions based on organization/role conditions at the data level.

4.4 Laboratory Multidimensional Collaboration Kanban

In the face of multiple roles in the laboratory team collaboration, the data dimensions that different roles focus on are also different. The importance of unifying multiple views of the Kanban is self-evident. The management focuses on personnel and capabilities, and the executive layer focuses on business distribution and environmental information.

For example, the administrator's dashboard mainly displays the overall operation status of the laboratory. After unified data management at the bottom layer, the upper layer provides 60+ chart components for secondary analysis and display through function calculation, built-in sorting , filtering and other

analysis operators


information.

smardaten provides a variety of visual components, which can be freely laid out on the sketchpad-style large screen for visual large-screen design. The component layer supports fine-grained style configuration to meet the requirements of a unified visual style, charts support data timing/subscription refresh, and each component supports configuration interaction linkage, making the large-screen data interaction richer.

5. Project Summary

Through smardaten, we have realized the standardization of the digital management process of the laboratory, and realized the recording of the whole process of the experiment process, the tracking of testing data, and the unified management of personnel and equipment. As a relatively standard LIMS system, based on the advantages of smardaten’s code-free assembly, through the assembly and adjustment of multi-functional modules, it can meet the digital management needs of different laboratory testing scenarios such as third-party testing, production testing, and scientific research testing.

In fact, as a data-driven enterprise-level no-code software development platform, smardaten is quite different from a lightweight low-code platform. It has a built-in global data asset management platform, including data asset management, integrated exchange, calculation, and builds form business processes and visual applications based on these data. This is also due to the fact that smardaten was first born in big data and has a strong big data gene. Of course, there are relatively good support for some GIS spatial analysis, digital twin analysis, and interactive large screens.

Friends are welcome to experience it! ~