Page 668 - Shaping smarter and more sustainable cities - Striving for sustainable development goals
P. 668

Urban  environment  here  mainly  refers  to  natural  conditions  of  the  city,  including  geology,
            geomorphology, hydrology, climate, flora and fauna, soil and other various factors. Irrational and
            excessive expansion of the city's development will lead to the deterioration of the environment.
            Urban environmental quality directly affects the operation of a city and the living conditions of
            urban  inhabitants.  To  improve  inhabitant  dwelling,  realize  IMSSC,  and  achieve  the  harmonious
            development between human beings and nature, the environment must be the direct object of
            IMSSC.

            The observing, reporting, analysing, forecasting and decision supporting of all these three direct
            objects  are  implemented  by  digital  equipment  and  the  associated  information  systems.  In  this
            Technical Report, the challenges listed in Figure 1 as well as the direct objects are abstracted for the
            convenience of information representing. The challenges are abstracted events and represented by
            event  information  models.  The  digital  equipment  is  abstracted  as  four  kinds  of  information
            resources,  comprising  of  sensors,  observations,  models,  and  nodes.  Among  the  information
            resources, sensors are composed of airborne, space borne, and ground‐based sensor systems, such
            as  satellite  sensors,  unmanned  aerial  vehicles  (UAVs),  vehicle‐mounted  mobile  measurement
            systems, global positioning systems (GPSs), radio frequency identification (RFID), temperature and
            humidity monitors, rainfall sensors and other equipment. This equipment is deployed wherever
            events may occur and is applied in event monitoring. Observations refer to the data generated by
            sensors, ranging from numerical values to all kinds of images, and they carry the information which
            can reflect the event occurrence. There are several kinds of analysing, processing, and forecasting
            models, such as hydrological analysis models, transportation congestion processing models, and
            pollutant diffusion models, etc. All these models are useful in analysing, processing observations, or
            making predictions based on historical and present observations in cases when observations are
            obscure and cannot provide the intuitive situation changes. Nodes can be united sensing centers,
            integrated processing units or small size application divisions, and they are able to offer significant
            decision  support  for  events.  Therefore,  information  resources,  including  events,  sensors,
            observations, models, as well as nodes are viewed as the indirect objects of IMSSC in this Technical
            Report. The direct and indirect objects of IMSSC are presented in Figure 4.







































            658                                                      ITU‐T's Technical Reports and Specifications
   663   664   665   666   667   668   669   670   671   672   673