What is the laboratory design process? How to design an experiment

The laboratory design should first determine the site and area, and carry out the preliminary floor plan design according to this, which involves floor plan, furniture layout, drainage and ventilation, electrical, sewage treatment and other drawings.

The design lab is based on the actual situation of the site.

Customized design according to the specific situation characteristics and the future development needs of the laboratory.

And the laboratory design needs senior designers to design professionally to be safer.

The design is people-oriented, scientific and reasonable, and the customized design of on-demand functions is more reliable.

The main steps of experimental design can be summarized as follows: formulating a hypothesis based on the purpose of the study; develop methods and procedures for verifying hypotheses; Select appropriate statistical methods for processing and analyzing experimental data.

Design of Experiments, also known as Design of Experiments. A branch of mathematical statistics. Mathematical principles and implementation methods on how to formulate appropriate experimental protocols according to predetermined objectives to facilitate effective statistical analysis of experimental results.

The design of an experiment, that is, an arrangement of the experiment, needs to consider the type of problem to be solved by the experiment, the degree of universality given to the conclusion, the degree of efficacy that is hoped to be tested, the uniformity of the test unit, the cost and time consumption of each experiment, etc., and select the appropriate factors and corresponding levels, so as to give the specific procedures for the implementation of the experiment and the framework for data analysis.

Function. Experimental design can play an important role in industrial production and engineering design, mainly including: increasing yield; Reduce the fluctuation of quality and improve the level of product quality; Greatly shorten the test cycle of new products; reduce costs; Design of experiments extends product life.

In industrial and agricultural production and scientific research, it is often necessary to do experiments in order to achieve the desired purpose. For example, in industrial and agricultural production, it is hoped that high quality, high yield, and low consumption can be achieved through experiments, especially new product tests, and there are many unknown things, so it is necessary to explore the process conditions or formulas through experiments. How to do experiments, there is a lot of knowledge.

If the experiment is well designed, it will get twice the result with half the effort, and vice versa, it will do more with half the effort, or even work without success.

Scientific experiments must be designed using the scientific method if they are to be carried out most effectively. The so-called statistical design of the experiment is the process of designing the experiment so that the collected data is suitable for statistical analysis and can draw valid and objective conclusions. If meaningful conclusions are to be drawn from the data, statistical methods are necessary for experimental design.

When the problem involves data that is affected by test errors, only statistical methods are objective methods of analysis. In this way, there are two sides to any trial problem: the design of the trial and the statistical analysis of the data.

The two topics are closely linked, as the analytical method is directly dependent on the design used.

Experiment is a process in which people determine the principle of the experiment according to the purpose of the experiment, and use the experimental supplies to intervene or control the research object, so that a certain event or phenomenon can occur or reproduce under conditions conducive to observation, so as to explain scientific facts and reveal the essence and laws of objective things.

Design of Experiments. Clarify the goal and content of the experiment (what to do).

Determine the experimental principle (how to do it theoretically, there are many ways to choose from), collect relevant experimental data (why to do it, choose the best way), and choose the experimental method (how to do it).

Implement experimental supplies (instruments, equipment, medicines, etc.).

Design the experimental process (experimental procedures, experimental phenomena, experimental data recording, etc.) and arrange the experimental time.

Make a ** and evaluate the results of the experiment (how well it was done).

Step 2: Experimental operation.

Strictly follow the experimental design (strictly control the variables).

Collect experimental data in a timely and accurate manner (keep the original records).

Experimental design is a very important part of statistics, and it is also the premise of statistical analysis, and it is also an aspect that is easy to ignore during experiments. A reasonable experimental design can minimize the cost and ensure the rationality of the results.

The basic steps of experimental design are:

1. Clear purpose and extensive contact.

2. Choose the scheme, simple and accurate

According to different experimental principles, the selection of different experimental protocols mainly follows four principles: scientificity, feasibility, accuracy, and intuitiveness.

3. Select the equipment according to the plan.

4. Formulate steps in a reasonable and orderly manner.

5. Data processing and error analysis.

Experimental design is a very important part of the statistics, and it is also the premise of statistical analysis, and it is also an aspect that is easily overlooked during experiments. A sound experimental design can minimize costs and ensure the rationality of the results.

The basic steps of experimental design are:

1. Clear purpose and extensive contact.

2. Choose the scheme, simple and accurate

According to different experimental principles, the selection of experimental schemes without the same main principles mainly follows four principles: scientificity, feasibility, accuracy, and intuitiveness.

3. Select the equipment according to the plan.

4. Formulate steps in a reasonable and orderly manner.

5. Data processing and error analysis.

The experimental process of science ** is as follows:

1. Ask questions. Find problems from life, practice and learning; articulate these issues; Reveal contradictions based on known scientific knowledge.

2. Make assumptions. develop hypotheses about problems based on known scientific knowledge; Determine the verifiability of the hypothesis.

3. Make a plan. draw up a plan; According to the proposed plan, list the required materials and utensils; selection of control variables; Design control group.

4. Implementation plan. Implement the plan in a variety of ways; Record rolling phenomena and data; Evaluation of phenomena, reliability of data.

5. Draw conclusions. describe the phenomenon; processing data; The analysis leads to the end.

6. Expression and communication. Write ** reports; Communicate the process and conclusions and improve them.

The principle of single variables: control the other factors unchanged, change only one of the factors (the one to be studied), and observe its effect on the experimental results. Following the principle of single variable not only makes it impossible to scientifically analyze the experimental results, but also enhances the credibility and convincing power of the experimental results.

Principle of illumination: Usually an experiment is divided into an experimental group and a control group. The experimental group is the group of subjects who are treated with experimental variables. The control group, also known as the control group, was a control group that did not receive the treatment of experimental variables for the experiment.

Theoretically, since the effect of irrelevant variables on the experimental group and the control group is equal, the difference between the experimental group and the control group is different. It can be assumed that the effect is from the experimental variable, and the experimental results are credible. According to the content and form of controlled experiments, they can usually be divided into:

Blank control, self-control, mutual control, and conditional control.

Laboratory engineering needs to meet a range of requirements to ensure that laboratories can provide a safe, efficient, and workable working environment. Here are some common laboratory engineering design requirements:

Safety: Laboratories should be designed with safety in mind, including measures to prevent accidents such as fires, **, and chemical spills. This includes proper ventilation systems, emergency exits, fire extinguishing equipment, chemical storage areas, etc.

Air quality and ventilation: Laboratories should have good air quality and ventilation systems to control pollutants and harmful gases in the indoor air. This includes proper ventilation, airflow control, harmful gas emissions and filtration, among others.

Laboratory layout and workflow: The layout of the laboratory should be reasonable to facilitate the operation of different experiments and ensure the consistency and efficiency of the workflow. This includes considerations such as the demarcation of the laboratory area, equipment placement, sample flow, and personnel flow.

Equipment and instrument selection: According to the experimental needs and objectives, select appropriate equipment and instruments, and reasonably arrange them in the laboratory to meet the experimental requirements and improve work efficiency.

Water, electricity and waste management: Laboratories should have stable water and electricity** to support experimental work. In addition, waste management systems need to be considered, including the collection, storage, and treatment of waste liquids, gases, and waste solids.

Acoustic control: Noise control should be considered in laboratory design to reduce noise interference to experiments and personnel. This includes soundproof walls, noise damping equipment, quiet rooms, etc.

Indoor lighting: Provide adequate indoor lighting to ensure the accuracy and safety of experimental operations. Proper lighting design can improve the comfort and visibility of the laboratory work environment.

Special experimental needs: According to the special requirements of the experiment, consider special facilities and environmental control, such as clean rooms, cold rooms, biological safety cabinets, etc.

Compliance and regulatory requirements: Laboratories must be designed to comply with applicable regulations, standards, and industry norms to ensure that laboratory work meets legal requirements and is recognized by regulatory agencies.

Zhengzhou Chengzhi.

The experimental flow chart shows the construction, reaction links, operation process and experimental conditions of some chemical experiments from the principle. It is equivalent to a summary description of chemical experiments, and the most common ones are the process of chemistry teaching experiments, or some popular science magazines and books.

Choose the right tool, the drawing of the chemical experiment schematic diagram is very simple, here is the selection of Edraw diagram**, you can draw a beautiful chemical experiment schematic diagram in a few easy steps. Use a browser to search for Edraw**enter**, refer to the figure below, and select "Start Drawing".

In the page that opens, refer to the following figure, the default is the "New" item, guided by the red circle box in the following figure, select the "Educational Sciences" category, then select the "Laboratory Equipment" subcategory, and then select a template to create a page.

After opening the newly created page, as shown in the figure below, the symbol library "Experimental Utensils" has been loaded by default, as shown in the red circle in the figure below, if it is created through a blank template, you can also add it by selecting "Symbol Library Science Experimental Utensils".

You can select each vessel and set its specific color, such as fills, lines, shadows, and so on, in the property page on the right.

After completing the drawing, you can save the project through the menu "File", or export it to ** pdf word ppt, etc.