AbstractNo one has yet investigated the information reach and influence of thermal analysis. Even so the heat and entropy are bound closely. The very problem of the term entropy is that it was defined specifically within the classical, equilibrium Thermodynamics like Clausius entropy, while its meaning is more general. It is usable in all areas of physics, in the communication theory and technology, and also, in social sciences, just as an universal quantitative model. The bridge to this wider world is in Boltzmann’s statistical point of view used in the Shannon’s information point of view. The difference is that the Shannon entropy is defined more generally, both for the uniform and for the not uniform probability distributions. But with renormalization and with the Boltzmann constant we can speak, using the Clausius entropy, about a certain thermodynamic system considered as a heat model of the area of our wider interests. So we will to deal with the heat and its entropy embodied to a wider consideration. In addition to the standard physical meaning, another thermodynamic realization in the form of a message is derived from Shannon’s information theory, where the sample carries a measure of Shannon’s information given by its structure or internal organization. This is also a contribution to improving the approach to thinking about the importance of observation and measurement, reflecting at the same time the costs and influence of the measurement itself and its organization on the measured object or, on its environment or, even on the environment of the measuring itself generally. Statistical sorting also carries with it the internal movement of individual elementary particles, the value of which indicates the resulting state of heat transfer and dissipation to and from the system providing a state of called equilibrium. It is statistically described by a weighted quantity called temperature, the changes of which via momentum alteration satisfy Newton’s laws of inertia allowing enumeration of the related heat information processing. The terminology used is still non-institutional.
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