Support for the development of projects at the level of inventions obtained by resolving technical contradictions in technical systems is limited to disconnected clusters of engineering space and has no unity. The high level of technical solutions found, capable of bringing the basic technical system closer to perfection, did not receive information support at the stage of transition from a conceptual solution to the use of CAD technologies, for some reason. As a result of the work carried out by the authors, the boundaries of the unformalized area between clusters are determined and a model of its filling is constructed, the task of which is to restore the data deficit responsible for the output parameters of the technical system. One of the variants of such models of pre-project research in the engineering space characterized by a significant reduction in the number of parameters of the technical system responsible for achieving output indicators and requirements of CALS technologies is proposed. The scope of the model implementation within the framework of a human-machine interface using data of distinctive features and their parameters distributed in the operational area of a technical system with a pronounced technical difference is proposed.

This article is devoted to the consideration of the most common sequences of implementation of high-tech projects in the field of mechanical engineering and instrument engineering in the framework of small enterprises. The reasons for the existing restrictions affecting the quality of complex projects are considered. A model of formalization of the field of information transformation of the source data of high-tech projects, which has a significant impact on the expected results, is proposed.

The most common implementation sequence of science-intensive projects in the field of engineering and instrumentation in the framework of small enterprises is considered. The reasons for the existing constraints affecting the quality of complex projects implementation are considered. A model for formalizing the information transformation field of the initial data of scienceintensive projects having a significant impact on the expected results is proposed.