On BIM data redundancy theory

Solemnly declare , This article is not rigorous enough , Just a subjective conclusion from a point of view , No data support and no guiding function , It's just a whim of an ordinary practitioner , namely BIM Data is not necessarily redundant , Even if redundancy is possible, it may not be the inference in this paper , hope bim The industry can continue to flourish .

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about bim（ Building model informatization ） Everyone is familiar , After years of development, its scope, that is, its content, has become more and more extensive , Including all aspects of rapid modeling 、VR technology 、

GIS+ Unmanned aerial vehicle (uav) , Artificial intelligence , Platform construction and other relatively reliable and mature technical routes , There are similar bim 1.0 2.0 3.0,4D 5D bim Writing standards This obvious nonsense

Route , But whether these technologies are reliable or not, they are only means in themselves , The ultimate goal is to achieve practical results , However, looking at these years ppt, It seems that the industry is not

No real breakthrough has been found （ Subjective judgment ）, Whether it's called " Collaborative management in the whole life cycle " still “ Help the project save XX Funding has accelerated XX Time limit ”,

Or is it “3 Dimension animation reduces the communication cost of Party A ”, These are too soft And lack of persuasion , The most important thing is that there is no way to quantify , Too empty , So in order to BIM How much people expect this

The result is clearly unsatisfactory .

here , We will Bim Our processes strive to abstract , Remove the so-called operation and maintenance design and construction at different stages ,BIM The most important thing is I That is, informatization .

In short, the purpose of informatization is to use information to make some useful results .

OK, At this time, we establish the most simple BIM The model is

Refer to the current bim Operation , I don't think any confident practitioner will think this is bim The final situation , That is, we can think the result is bad .

Then the reason is clear , It's about data and BIM At present, the use of information technology .

1. Good data BIM good

This is a impossible Of , Because this is the result , But now the result is bad .

2. Good data BIM bad

This refutes the direction of almost all current practitioners , instant BIM It's not a problem , That is to conclude from the side ,BIM That's the extent of , future BIM There must be changes in itself .

3. The data is bad BIM good

There is no logical problem with this , But there's another problem , Why are all the data bad ? What bad things do they have in common .

4. The data is bad BIM bad

This is almost the most likely explanation , But this article has the same characteristics as Article 2 , This is what we can't prove at present , The proof of this article is to be given to future Judge .

 

Therefore, the goal that we can demonstrate at this time is to turn to Article 3 , The data is bad ,BIM good .

There are many things about bad data , We can choose two opposite perspectives on data , Are combined

1. Less data More data

2. Good data Bad data

1. How much data ,

Square ：“ Because every bridge is different , So the data is not universal, so there is little data , Second, the idea of open source in the construction field is not enough , Don't pay attention to collecting data ."

This sentence seems reasonable, but there are obvious loopholes , Because the instant bridge is different, the building is different , The forms of structures have high similarities , The biggest effect of this is Mechanics

Calculated data , however BIM It is not necessary to calculate , Because structural calculations are excluded , The management information and personnel information generated in a construction design process is absolutely sufficient

Of , But this aspect has not been used to get good results , Second, don't pay attention to the data now bim Today's promotion does not exist , And open source thinking , Because you don't have to

Open source , The one who knows the most about the project process must be his own side . So the data is enough .

2. The problem of bad data .

bad . Not finished   In the future