Framework of computer integrated process systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper attempts to illustrate the requirements and problem definitions of computer integrated processes systems (CIPS) for continuous manufacturing industries. An integrated distributed intelligent platform of software systems that supports the process design, operation, management and equipment maintenance is addressed. Its architecture, characteristics and functions are discussed. The structure and functions of the meta-system (which controls and manages the IDIP) are presented. The paper includes eight sections. Section 1 discusses the need to develop computer integrated process systems in continuous manufacturing industries. Section 2 analyzes the real problems existing in continuous manufacturing industries. In section 3, we discuss the distinctions between CIMS (computer integrated manufacturing systems) in discrete manufacturing and CIPS (computer integrated process systems) in continuous manufacturing, and analyzes the CIPS characteristics. Section 4 discusses the objectives of the strategic grant. Section 5 presents the structure and functions of an integrated distributed intelligent platform of software systems and presents its features and requirements. The meta-system structure and functions are introduced in section 6 and 7. Finally, we present a few developing research projects (functional subsystems) to support the implementation of CIPS strategy and applications of IDIP.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it