“MULTI-FUNCTIONAL ROAD LAMP”

Field of the invention

The invention relates to the public lighting sector and, in particular, it relates to a new led light lamp post integrated with functionalities of public interest, for example, connectivity, telecommunication and environmental monitoring functions, and a smart system comprising several lamp posts.

Background art

In the field of lighting technology, LEDs (Light Emitting Diodes) are increasingly being used, in particular, illuminating bodies with LEDs for street lighting are increasingly evolving, mainly due to the greater energy efficiency with respect to a conventional lamp but also to the possibility to adjust the light intensity in real time by means of remote control systems which allow to increase energy savings.

Due to the widespread use of mobile devices, in particular, personal devices, whether they are smartphones or even other loT devices, requiring a high-performance radio connection capacity in terms of latency, throughput and quality of service, current networks tend to congest; in fact, new network architectures require a strong diffusion of base transceiver stations, allowing communication between various devices. The problem, however, of current regulations with regard to the level of electromagnetic pollution is that it does not allow to considerably increase the number of macro cells (conventional base transceiver stations) so as to satisfy the need for connectivity.

Furthermore,“Smart City” applications, i.e., applications useful and of interest in the city environment, are increasingly widespread and manage issues such as security, remote control, city traffic, parking and the analysis of environmental parameters inside a city. Nowadays trend is to combine conventional high-power radio stations, having a usual coverage radius of 2-3 Km, with radio stations with lower power, called micro and pico cells, having a coverage radius of about 400-250m, Micro and pico cells, even though they have a smaller coverage radius, allow for a greater spread in the area by virtue of the smaller size and radio power thereof, keeping the levels of electromagnetic pollution within the threshold set by the regulations.

Object of the invention

Therefore, it is a first object of the invention to propose a LED lighting lamp integrated with an electronic unit and radio functionalities for connectivity and communication, and possibly environment sensors, which is efficient and easily insertable even in existing contexts. In a second aspect of the invention, it is a further object to propose an integrated lamp capable of adapting to different configurations to meet different local needs.

In a further aspect of the invention, it is a further object to propose an integrated system or smart lamps network.

In a further aspect of the invention, it is a further object to propose a method for the energy efficiency improvement of an integrated smart lamp system.

Summary of the invention

These objects, in accordance with the invention, are achieved by a lamp according to one or more of the appended claims.

Therefore, the present invention relates to an illuminating body with LEDs (Light Emitting Diodes) with a street function, integrating therein apparatuses for receiving, transmitting and processing the signal, merely by way of explanation and not by way of limitation, of the UMTS, LTE, Wi-Fi, 5G type...

By virtue of a buffer battery, rechargeable by means of the electricity grid or other available energy sources, for example, photovoltaic panels, the signal processing, transmission and reception part will always be powered in the event of power failures. For example, a lamp post may be imagined, including a 5G base transceiver station device with video cameras integrated for managing the security services of a third-party operator, with an on-site data processing system used to create cryptocurrencies. Each of these services will provide for contractual conditions between the public lighting network operator and the third-party operators for each individual service, which will determine service level obligations connected to related business models. In terms of quality of service required, optimization of the business model and energy efficiency improvement, the algorithm will have to improve the efficiency of the set of services included in the pole by using the historical experience thereof (therefore, the learning level thereof), the data originating from the network and all the useful information in the system.

Another element of the invention is the modularity of the system. The smart lamp post, in addition to having the lighting part, provides for a modular mechanical component which grants the pole the possibility of being used only for controlled LED lighting services, or for advanced services with different levels and degrees of integration (for example, 5G DAS or 4G multi-operator base transceiver station, Internet of Things services, video surveillance services, independent data processing, management of secure computing applications, cryptocurrencies, etc.). Depending on the type of service to be activated on each individual lamp post, the infrastructure may be modified by adding or removing modules, even during steps following the first installation. Thereby, an efficient and optimized use of the integrated lamp system is ensured, also allowing the operator to change the configuration of such infrastructure and the related services set-up in a smart and independent manner. A specific self-adaptive algorithm will, in fact, comprise the mechanical changes and set itself in time, optimizing the modified infrastructural layout.

Finally, by virtue of the integrated and compact line, the device allows to be placed even in environments where the visual impact in terms of landscape must be mitigated.

List of drawings

These and further advantages will be included in the following description and the accompanying drawings, in which:

- Figures 1 and 2 show a first embodiment of the lamp of the invention;

- Figure 3 shows the lamp of Figure 1 applied to a second pole model;

- Figure 3a shows a detailed view from below of the lamp of Figure 1 ;

- Figure 4 shows a second embodiment of the lamp, applied to a pole with a straight geometry;

- Figure 5 shows the lamp of Figure 4, applied to a pole with a side entry geometry;

- Figure 6 shows the lamp of Figure 4 in a first preferred configuration of use;

- Figure 7 shows the lamp of Figure 4 in a second preferred configuration of use;

- Figure 8 shows the lamp of Figure 4 in a third preferred configuration of use;

- Figure 9 diagrammatically shows the general logical architecture of an integrated system in accordance with the invention;

- Figure 10 diagrammatically shows the logical architecture of a smart lamp post in accordance with the invention;

- Figure 1 1 shows a functional diagram of a lamp post in accordance with the invention;

- Figure 12 shows a timing diagram of a lamp post in accordance with the invention. Detailed description

Merely by way of explanation and not by way of limitation, examples of the invention are provided below.

With reference to the accompanying drawings, the present invention is described in which an illuminating body with LEDs of the street type is shown, integrating the light intensity control electronics of the lamp therein and providing connectivity services such as, merely by way of explanation and not by way of limitation, UMTS, LTE, Wi-Fi, 5G, etc. by virtue of micro and/or pico cells installed at the base of the lighting pole and/or inside the lamp shell.

The street lamp post is particularly adapted to be used for this type of services, in fact:

^■ The height of the light pole is consistent with the coverage needs for radio communications and for the positioning of electronic apparatuses intended for Smart

City services (usually within an overall weight of 15 kg, including lamp, mechanical structure and electronic components)

By virtue of the use of plastic material for the outer shell of the lamp, which does not shield the electromagnetic waves, this may also be used to insert antennas therein for Wi-Fi, UMTS, LTE, 5G connectivity, etc.;

^■ At the base of the pole the electrical power supply is available, which may be shared with the network connectivity apparatuses;

The energy required for the correct operation of the additional electronic connectivity components is not very significant with respect to the energy consumption of a LED lamp for street use;

The remote control system inserted into the lighting apparatus allows to constantly power the LED lamps and to vary the light intensity only under particular environmental conditions and therefore to keep the part of the electronic apparatuses in charge of the connectivity powered, unlike what occurs with common non-remotely controlled lamps. Furthermore, in the event of sudden electrical power supply failures, the system, by virtue of a buffer battery, will keep the part dedicated to wireless services active. This battery may also be recharged by means of the main power supply, when present, or by means of other energy sources, such as for example, merely by way of explanation and not by way of limitation, photovoltaic panels.

By means of the invention, it is therefore possible to dynamically manage the power supply of the lamp and grant the connectivity and the service levels of each individual mobile operator, so as provide the user with a system as user-friendly as possible. Furthermore, the system will also grant several telephone operators the sharing of technological resources, so as to transmit UMTS, LTE, 5G, etc. signals on the same micro or pico cell, thus reducing the waste of hardware resources in play and also reducing the visual impact that a base transceiver station may have, even if small in size.

At the moment, no background art exists similar to the method proposed. So-called smart lamp posts do not allow the on-board processing of data, in fact, a disadvantage is that machines capable of processing the data originating from the aforesaid lamp posts, without using an integrated architecture as the one proposed in the invention, must be deployed on the area. Furthermore, another disadvantage of known systems is that, by bringing the computing power beyond the lamp post system, the latency with which the data is processed increases; furthermore, last but not least, the algorithms applied up to now do not allow to take into account the previous experiences (computing capacity, bandwidth use, energy efficiency, etc.) with respect to the algorithm reported in this invention, which tends to make the device as autonomous as possible, self-configuring itself and self-learning from devices in the network.

To this end, with the proposed method, the computing capacity is an essential element both for the correct management of the power supply of the various modules, as well as for the on-site processing of the data useful for the construction of an advanced architecture of innovative technological services.

Therefore, it is an object of the present invention to overcome said disadvantages of the systems of known type, providing a method for optimizing power resources, for data processing and for the technological set-up under the quality of service conditions requested.

By means of the invention, it is thus possible to dynamically manage the power supply of the lamp post and the technological set-up, analyzing on-site the information originating from the system and from the connected lamp posts by means of smart algorithms which take into account the historical data of the system (for example, the management of loT sensors, the end point development of blockchain or Cloud technologies for the Internet of Things).

When practicing the invention, each smart lamp post will have an own processing capacity and a connectivity synchronized with the other smart lamp posts in the network, becoming a node of a single data center, capable of self-configuring itself and of self-processing the various information.

The intent is to use mechanical elements (Figure 1-8) capable of granting a performance in terms of the fluid dynamics of the pole, and a correct communication of the systems in the frequency range from 100 MHz to 10 GHz, optimizing the energy consumption of each component by means of adaptive machine learning algorithms. Such algorithms must take into account both the actual power supply stage of the system, and the general information relating to the quality of service originating from the central systems, as well as the bandwidth and processing capacities. When practicing the invention, in accordance with the specifications assigned by the service provider, the algorithms will have to determine which is the best configuration possible, taking into account the following essential elements:

• the operation of the street lighting, consistent with the needs of the citizens and the specifications given by the bodies in charge;

» the efficiency improvement when using the energy component;

• the efficiency improvement of the computing resources, in accordance with the services requested by the operators, and active at a given time, and with the business models thereof;

New generation mobile network architectures provide for the remote distribution of the computing capacity thereof, so as to grant communication latencies of below a millisecond. Such network organizations introduce considerable complexities, both in terms of the communication between the various levels of the local or central network and in terms of the positioning of the radio stations in the area. In fact, such infrastructure requires a strong capillarity and distribution, a continuous exchange of information between the surrounding microcells and a continuous management of energy resources and consumption.

The body of the lamp and of the pole, visible in Figure 1 , Figure 2 and in Figure 3, by way of explanation and not by way of limitation, may take different shapes and sizes accordingly, depending on the applications in which they will be used, and will include:

A LED module which may mount different optical systems (Figure 1 , 2 and 3, detail

A);

Plastic compartment of non-shielding material containing the antennas capable of transmitting and receiving the signal (Figure 1 , 2 and 3, detail B). Preferably, the plastic compartment B is in the form of a collar clamped without holes to the lamp supporting pole, so as to avoid any structural weakening of the pole and the related need for a technical certification.

^■ A lamp body with pole attachment (Figure 1 , 2 and 3, detail C) and dissipation system (Figure 1 , 2 and 3, detail D);

■ An IP65 Low Power Splitter (Figure 1 , 2 and 3, detail E);

^■ IP65 multi-directional antennas (Figure 1 , 2 and 3, detail F);

A compartment containing the radio station with IP67 protection kit (Figure 1 , detail

G);

^■ A radio station (Figure 1 , detail FI) and a buffer battery (Figure 1 , detail I); A straight or side entry supporting pole (Figure 1 , 2 and 3, detail L);

^■ A compartment containing the electronic apparatuses (Figure 1 , 2 and 3, detail M);

^■ A signal processing system (Figure 1 , 2 and 3, detail N), Wi-Fi (Figure 1 , 2 and 3, detail O), the power supply (Figure 1 , 2 and 3, detail P), and the remote control (Figure 1 , 2 and 3, detail Q);

With reference to Figure 3a, the detail M is described in greater detail:

A LED module which may mount different optical systems (detail A)

A lamp body with pole attachment (detail C) and dissipation system (detail D);

An IP65 Low Power Splitter (detail E);

IP65 multi-directional antennas (detail F);

A compartment containing the electronic apparatuses (detail M);

A signal processing system (detail N), Wi-Fi (detail O), the power supply (detail P), and the remote control (detail Q).

The illuminating body of the present invention offers a Wi-Fi coverage in the 2.4GHz bandwidth. Connectivity is brought to the pole by means of a fiber optic connection or by means of a 5GHz radio link, with the antennas preferably installed inside the illuminating body. The connection will arrive directly to the control board which will sort the traffic to the Wi-Fi router board.

At the base of the pole, a micro or pico cell for connectivity provided by mobile operators will be installed, enclosed inside a vandal-resistant box and IP67.

The signal routed by the radio station will be sent by means of an IP65 low power splitter to the multi-directional antennas installed at 120° to cover three sectors contained inside the plastic compartment, which does not shield the electromagnetic radiation. All electronic components will be electronically powered by means of an apparatus shared with the illuminating part and connected to the electricity grid. In the event of power failures, the system will continue to operate by virtue of a rechargeable buffer battery, by means of the primary power supply network.

Furthermore, the illuminating part will be connected to the remote control for the management of the light intensity.

The illuminating body described in the present invention will provide the connectivity required for nowadays evolution of interconnected systems and, being based on LED technology, it will allow considerable energy savings. Finally, by virtue of the discreet line thereof, with antennas hidden inside the plastic compartment, it will perfectly fit into the urban context without creating visual discomfort within the surrounding landscape. Each point of the aforesaid network, data transmission and data reception architectures must manage information by means of machine learning, artificial intelligence and information sharing mechanisms, both with the various elements inside the individual pole, and with the various network levels, from the local one (therefore from surrounding microcells) up to the central cloud system (Figure 9).

With respect to current systems, the invention also assigns the data processing capacity management to the smart pole, by means of fog computing techniques and architectures based on artificial intelligence algorithms (Figure 10). Such processing element requires the creation of a smart power supply system which will provide for a buffer battery for the connection to the services even in the event of power failure, and, above all, the use of the processing itself for the power consumption efficiency improvement, respecting the service levels managed by each individual operator (such as, for example, 5G connectivity, Internet of Things or Smart City services and cloud services). In particular, the system will grant the possibility for several telephone or cloud services operators to use and share the same technological resources, for example, the use of a base transceiver station to transmit signals in a 5G or 4.5G architecture or the virtual machines of a data processing system.

The invention provides for the use of individual light poles for different applications, both related to radio connectivity, and related to Internet of Things services, as well as cloud services. All this by optimizing the size of the lamp post with respect to the conventional needs of Smart City applications and the position of the sites, both for communication and for data processing. When practicing the invention, the system simplifies, modulates and makes the lamp post versatile, so as to manage the different applications and the different advanced services even in the steps following the first installation, as well as the relative positioning of the individual components of the architecture.

The data processing system also directly manages the energy consumption optimization by managing the various elements of the system in an integrated manner, granting the level of quality of services requested by the operators, allowing the use of excess power resources to charge the buffer battery and using the further excess resources for computational calculations of private (such as, for example, cryptocurrencies) or public use (such as, for example, scientific calculations).

Another variant of the present invention is shown below, by way of explanation and not by way of limitation, according to another embodiment thereof, with particular reference to the accompanying drawings, in which:

• Figure 4: Radio station + Straight poie

• Figure 5: Radio station + Side entry poie

« Figure 6: Plastic compartment + Computer + Video camera and Wi-Fi

· Figure 7: Small Plastic Compartment + Computer + Sensors

• Figure 8: LED appliance only with RF control

Each element in Figures 4-8 is described below:

A1 : LED module with electronic power supply and RF remote control. It may mount different optical systems; power up to 100W.

B1 : Lamp body with pole attachment system and connection box.

C1 : Structural extrusion for the attachment of additional components; different lengths to adapt different components (Radio station or Plastic compartment of various sizes).

D1 : Radio station with aluminum case and IP65 protection kit.

E1 : IP65 Low Power Splitter to connect 3 antennas.

F1 : IP65 Multi-directional orientable antenna unit.

G1 : Straight or side entry pole with D60mm end.

H1 : Thermoformed plastic protection shield of the antenna holding toroid; customizable with logos and writings.

11 : Antenna holding toroid attachment for side entry pole.

L1 : Molded plastic box with aluminum heat sink for version with video camera, Wi-Fi module and remote control concentrator.

M1 : IP65 fixed dome FIDTV video camera for outdoor use.

N1 : Sensors of presence, temperature, polluting compounds, smart parking, etc...

In greater detail, the structure of point C indicated in Figures 4, 5, 6, 7 is made of two telescopic guides in aluminum or another material having the same weight-strength ratio features. The guides are formed by two telescopic underguides which may be extended or shortened in accordance with the various electronic components (radio station or plastic compartment) which will be installed. By virtue of the flexibility of use thereof, by moving inside one another, extending or shortening to different sizes, they may accommodate both micro and/or pico cells of different size and/or other electronic devices capable of making the lamp flexible in accordance with the various needs requested by the operators.

The system is devised taking the following configuration:

• Lightened smart system for multi-operator management (DAS, 5G, Data processor, etc.)

• antennas positioned at 120 degrees to cover three sectors

« Plastic lid with aluminum heat sink usable for radio stations, with video cameras, loT sensors and data processor integrated, both simultaneously and not

With these configurations, the infrastructure of a city including 10,000 lamp posts may be imagined to provide for, for only 10% of these, the application of data processing services, and for only 5%, the use for 4G/5G connectivity services, and for a further 2% smart city services, such as video surveillance, traffic control, analysis of environmental parameters.

Preferably, the system will be mechanically and electronically configured in accordance with such infrastructural features and with the relative quality of service needs of such configuration, which may be modified at any time. The self-adaptive algorithm will indicate the best system configuration to reduce consumption and grant the service levels requested, and also to independently manage the modifications of these configurations, both infrastructural-mechanical (for example, adding or removing a module on a lamp post) and with respect to the services active on each individual lamp post on the system.

Figures 9, 10, 1 1 , 12 describe instead the overall algorithm, starting from the system architecture and the functional block diagram of the algorithm.

With particular reference to Figures 1 1 and 12, a functional and timing diagram on the device/lamp post is described. In particular, in Figure 11 , by means of the algorithm, the lamp post XN, upon granting the minimum mandatory service levels, must inform on the best configuration of the system in terms of technological set-up and computing power, based on previous historical experience and the status of the surrounding lamp posts. Once granted the minimum service levels requested, the algorithm will inform on the best possible configuration, to best improve the cost (energy consumption, bandwidth) and revenue efficiency (business models, technological set-up).

When practicing the invention, the algorithm will decide if at that time (T) and in the near future (T + M) it will be more convenient to spend computing power and the relative consumption on one service rather than another one, or evaluate new services proposed by the central system, perhaps more performing with respect to the previous ones, and will self-configure itself based on these. Furthermore, it may also decide not to use the available resources because at that time it might be more convenient to save energy. Finally, in some cases, it may request to be replaced/reconfigured manually with different mechanics, which will allow the system to activate more services.

In Figure 12, the algorithm self-learns from historical data, therefore, it may be represented as a system which learns from historical data and processes current data. The time interval T, modifiable over time, may be set depending on the specific needs and depending on the technological features of the current and future system. The algorithm is influenced by the algorithm itself up to the previous time T-K, where K is the memory time of the system. In addition to the time T, the prediction will instead also concern the time T+J, where J is the level of accuracy and reliability of the algorithm, and will have to be manually modified by the infrastructure operator as soon as the reliability and the self-learning of the algorithm require so.

The method implemented by means of the algorithm preferably comprises the following steps:

a) acquiring a sequence of data relating to various parameters, such as:

• current mechanical configuration

• data processing capacity

• network load capacity

• data transmission capacity

b) The smart lamp post will receive information from the surrounding lamp posts, relating to the data processing capacity thereof. In particular:

• usage of the on-board memory

• usage due to the processing of the CPU

c) The smart lamp post will receive information from the surrounding lamp posts, relating to the network load capacity. In particular:

• bandwidth usage and relative residual availability

d) The smart lamp post will receive information from the surrounding lamp posts, relating to the data transmission capacity. In particular:

• it will report, based on the network capacity, the possibility to transmit the data processed by the computer

e) processing said data according to the following formula: AI x(xl, x2, ... Xn )

f) comparing such parameter AIx(xl,x2, ...Xn) with a value of Alx processed from previous experiences

g) if the parameter Alx (T) is greater than of Alx (T - 1) ... AIx(T - K) processed from previous experiences, then it is kept and used as a new reference parameter, otherwise it is discarded and the previous value of Alx of the past experiences of the surrounding lamp posts is used.

More details on each step are provided below.

With reference to step a) for the acquisition of data originating from the surrounding lamp posts, the current mechanical configuration of the various lamp posts, the technological set-up, the various data processing and network bandwidth usage capacities are acquired. In particular, if at that moment the CPU or the memory of a lamp post is busy computing, the surrounding lamp posts will be warned that at that time the apparatus may not send data or process some thereof. Finally, in some cases, the mechanical configuration may need be replaced manually with a different one, which will allow the system to activate more services.

With reference to step e) for processing said data by means of the formula

AIx(xl, x2, ... Xn)

M

f(^ a _m * Aim (xl, x2, ... xn))

each element to be applied for the self-adaptive efficiency improvement is listed below, in which:

Alx = implementation vector of the efficiency improvement of the system

h = algorithm for computing the information originating from the central cloud platform ( based on known machine learning techniques )

QoS = algorithm for computing the maximum levels of quality of service requested

a _m = f _t (AIx— l(xl, x2, . , ch), ... ,AIc— k(xl, x2, ... , xn )) a _m — weights of the self— adaptive algorithm

fi = algorithm for computing the weights originating from the previous experiences of the implementation vectors ( based on known machine learning techniques )

b _r — 9 ₂ (Alx— l(xl, x2, ... , xn ), Gx— l(xl, x2, ... ,xn), h it.— l,yl,y2,yr), h (t

- k, yl,y2, yr)

B _m = weights of the self— adaptive algorithm for the network elements g ₂ — algorithm for computing the weights originating from the service models and from the business models k = memory history time of the system

With reference to step f), the parameter AIx(xl,x2, ... Xn) is compared with the values of AIx(T-1 ) ... AIx (T-K), processed from previous experiences, so that the parameter AIx(xl,x2, ... Xn) is selected (step g) to implement, by means of the latter, the management of services, of power/mechanical, computing and available bandwidth resources, so as to achieve an autonomous decision-making performance which meets users real needs expectations.

The functions f(x), g(x), h(x), Alx(x) are based on self-learning algorithms already known in the background art, in which the best conditions, in terms of consumption and business models applied to the sector in terms of cost-revenue optimization, are self- learned.

In terms of quality of service required and energy efficiency improvement, the algorithm of the invention will have to improve the efficiency of the set of services included in the pole by using the historical experience thereof (therefore, the learning level thereof), the data originating from the network and all the useful information in the system.

F(x) is affected by the values of the surrounding lamp posts from 1 to M and by the weights which are affected by how the lamp post was previously configured T-K. The reference parameters may be increased with the daily use of the system and, at first, are:

The function QoS (z) is required to set the quality of service levels defined by the operators which use the system. The function must simply select the maximum selected services levels.

g (x1 , xn), g2 (x1 , xn) are self-adaptive functions that take into account the conditions of use and operation of the network in the surrounding lamp posts Gp(x1 ,...xn) also in accordance with the experience acquired with respect to the network configurations Bp themselves. h (t, y1 ,...yr) are the central system settings of limits imposed by the system and processed in accordance with the system experiences and the analysis of the data originating from the system. The functions g(x1 ,xn), g2 (x1 , xn) are still affected by the setting defined by the central system. In such sense, these bind the parameters themselves defined in the function.

The function g(x), in the event of exceeding the average conditions imposed by the system by the function h(x), will select the conditions defined by the function h(x), thereby limiting the freedom of the self-adaptive algorithms and imposing maximum levels of system modification in the time units.

In the various embodiments described, the lamp post and the system of the invention achieve important advantages.

« The illuminating device with LEDs, also dedicated to telecommunications, provides broadband connectivity services to users by virtue of the connection technologies integrated therein.

• An optimization of a smart LED lamp post in the mechanical part, in the power supply part and in the modularity thereof may be possible, so as to obtain the greatest energy efficiency improvement possible of the street pole, a pleasant visual aspect with a low impact on the urban design of the future Smart Cities and a Quality of Service requested by individual value-added services activated by means of electronic and system processing components.

• The illuminating device with LEDs, also dedicated to telecommunications, is capable of:

o Containing radio and signal processing modules therein;

o Providing mobile connectivity by means of micro or pico cells integrated at the base of the pole and/or inside the lamp shell;

o Containing, inside a plastic container, three multi-directional orientable antennas (arranged at 120°) and an IP65 low power splitter;

· The illuminating device with LEDs, also dedicated to telecommunications, may be equipped with a buffer battery integrated therein, which supplies electrical power to the radio and signal processing systems in the event of power failure of the main network.

• The illuminating device with LEDs, also dedicated to telecommunications, is capable of allowing a perfect irradiation of the signal originating from the antennas by virtue of the unshielded compartment and of an arrangement of the latter in accordance with the needs of the services requested by the operators.

• A self-adaptive algorithm may be provided for, capable of optimizing the power resources by dynamically managing the power supply of the lamp post in accordance with the different service levels and the related business models;

· A self-adaptive data processing algorithm may be provided for, in accordance with the specifications of a connected central system and with the constellation of lamp posts/sensors inside the network; these are capable of integrating radio communication technologies and multi-sector antennas in the field of 5G radio technologies, Internet of Things, and are further capable of providing new services for data processing, sensor management and endpoint development of blockchain technologies.

• An on-board data processing system of the smart lamp post may be provided for, capable of integrating different processing services. When practicing the invention, each lamp post has a single processing capacity and a connectivity synchronized with the other lamp posts, which overall become a single data center, capable of developing individual virtual machines and individual services such as, for example, blockchain or Cloud services for Internet of Things or data synchronization services for the world of new generation mobile telephony;

« A modular system may be provided for, capable of adapting the use of the lamp post mechanics depending on the type of services to be activated, from lighting only, to new generation telecommunications services, to the management of multi-operator services, to advanced services, such as parking management, video surveillance, environmental sensing and data processing capacities.

The embodiments described above are given by way of explanation and not by way of limitation, and therefore adaptations, additions, variations and substitutions of elements with others which are functionally equivalent may be made, without however departing from the scope of protection of the following claims.