FR3038168A1 - METHOD OF MEASURING AND MAPPING THE ELECTROMAGNETIC BACKGROUND GENERATED BY PUBLIC RADIOCOMMUNICATION INFRASTRUCTURES - Google Patents

Abstract

The invention proposes a participatory method for mapping the electromagnetic background of public communication and telephony electromagnetic infrastructures. An embedded application (TL), executed by smartphones (T1) of a large number of users a territory, records a quantitative measurement of the power (D31) of the signal on the pilot channel and its geographical position (p3), by the included antennas of the phone, regularly and automatically without intervention of the user. These measurements are carried out for the telephone frequencies of its network, and the Wifi frequencies (W3) within range. this data is collected (J113) by a centralized server (SC). This one carries out a treatment of preparation (223), qualification (2231) and synthesis (2232) by geographic mesh (m3). The measured powers (S31) are extrapolated (2233) to the totality of each source, and accumulated (225) for the different sources (A1b, A2b) covering each mesh. These values by mesh (E5) form a map (BDT) of intensity of the electromagnetic background of the covered territory. Each phone (T1) receives and displays in real time the values (A113) calculated for its environment.

Description

The invention provides a participatory method for mapping the electromagnetic background of the electromagnetic communication and telephony infrastructures in the public space. An embedded application, executed by smartphones of a large number of users over a whole territory, records a quantitative measurement of the signal strength on the pilot channel and its geographical position, by the included antennas of the telephone , regularly and automatically without user intervention. These measurements are carried out for the telephone frequencies of the sources of its network, and the Wifi frequencies in range.

Smartphone data is collected and stored by a centralized server. This performs data preparation, qualification and synthesis processing by location or geographic location. The measured powers are extrapolated to the totality of the power emitted by each source, and accumulated for the different sources covering each mesh. The values by mesh are combined and form together a database and an intensity map of the electromagnetic background of the territory covered. Each phone receives and displays in real time the calculated values for its immediate environment. State of the art The development of cellular telephony has led to the installation of numerous relay antennas in the territory of most countries. These, like all radiocommunication or radio-broadcasting infrastructures, constitute multiple local sources of electromagnetic fields, the presence and possible effects of which are a growing concern among populations. The monitoring and evaluation of the electromagnetic background thus created is therefore a need that has existed for several years, both to know the coverage performance and to study and prevent the health consequences. To perform such an assessment on a territory, the current method is to mandate professional technicians to perform measurements in different locations, according to precise and repeatable standards and with precise, calibrated and reliable devices. These measures are compiled to provide a list of values and positions on a map of the territory. These measures represent a significant cost, and are made on demand and according to available means. As a result, the information available is very punctual, constituting a set of scattered points on a geographical map, and can not be considered as a true cartography of the electromagnetic background related to the infrastructures, in particular a cartography which is relevant with respect to sources of local reach.

The number of sources and the speed of development of the infrastructures means that greater resources would be needed to build up such a map in a more complete and systematic way and to keep it up to date. The document US2013196723 discloses to evaluate over time the exposure to which the user of a cellular telephone is subjected in real conditions because of the emissions generated by this telephone. Indeed, because the power output of this phone varies according to its communication conditions with the relay antenna, the actual value of exposure can be very different from the data announced by the manufacturer in terms of specific absorption ("Specific Absorption Missed"). It can also vary greatly depending on where it is located and the type of use of the phone. This exposure is evaluated by the telephone according to its operating parameters and by comparison with known calibration values for the different types of telephone. The elements obtained are analyzed to inform the user of the exposure that his phone makes him undergo and to advise him of corrective measures: for example to postpone or interrupt his communication or to remove the phone using the speaker or a kit micro-earphones. An object of the present invention is to improve, at the best cost, the monitoring, the updating, the exhaustiveness, the reliability and / or the accuracy of the evaluation of the real or even global electromagnetic background, such as that it is created by the accumulation of numerous and varied communication electromagnetic infrastructures, and the resulting passive exposure, regardless of the use or possession of a cellular telephone. SUMMARY OF THE INVENTION In summary, as defined below, the invention proposes to distribute an embedded application that can be executed on the mobile terminal of a large number of users living or browsing the territory to be mapped. . The term "mobile terminal" or simply "terminal" is used here to designate any type of portable computer terminal 15 allowing communication by one or more of the networks concerned. These are typically cell phones called "smart" and also called "smartphones", but also for example touch-sensitive computer tablets or laptops connected to such networks. They can also be more varied connected objects as long as they include an operating system capable of executing a computer application. With the aid of the only antennas included in the mobile terminal, this application makes a quantitative measurement of the power received from the various sources that are accessible to it, together with the geographical position when measuring regularly and automatically and without intervention. of the user. These measurements are typically performed for the operator's telephone frequency as it is parameterized in the SIM card, and optionally for the Wifi frequencies accessible by the mobile terminal. The measurements and coordinates of each smartphone are then collected and stored centrally on a server. It performs a statistical processing of sorting and reliability of the collected measurements, and synthesis and aggregation of the powers measured in each geographic location, to derive a value representing an appreciation of the intensity of the electromagnetic background created in these 35 locations by the cumulative of these sources. These data are then combined to form and publish a map representing the total intensity of the electromagnetic background in the different parts of the territory covered. Even if the measures thus produced and the values derived therefrom are not necessarily certified in relation to the standards in force, and may not have any probative value, they allow a massive and extensive characterization of the territory, and may conveniently complement values certified by professionals. Indeed, the values produced by the present method have de facto by 10 construction a strong coherence between them, which already gives them reliability in relative value, quality very useful for detecting any singular points. A specific advantage of this method is that it makes it possible to measure the contributions of all the sources, detected selectively and automatically by the mobile terminal in one place. This can better reflect the specificity of different sources or their different channels, for example compared to extrapolations that are sometimes made in professional measures to facilitate the tedious work of characterizing all pilot channels of all 20 operators. They allow real-time knowledge easily accessible by all, valid in a precise way on the local level, and can thus form a numerical basis that can usefully guide individual thoughts and behaviors.

This method also satisfies the users in some of their concerns or information needs, while giving them the opportunity to participate in a scientific operation and for the general interest.

More precisely, the invention proposes a method of constituting a database representing a geographically-resolved characterization of the electromagnetic field, called the electromagnetic background, which reigns in a plurality of geographical zones, called meshes, within a given territory. and which is produced by a plurality of functionally distinct infrastructure networks. These networks are of the type each comprising a plurality of electromagnetic emission sources, arranged to communicate by radio frequencies with a plurality of portable computerized terminals, each of said sources covering a transmission zone which forms only a part of said territory and includes several of said meshes. These networks include in particular the various cellular networks developed and operational since around 1990. Their sources, also relay antennas, generally use different frequencies between two neighboring sources, and are generally multichannel.

In particular, such a database may be used or adapted to provide a cartographic evaluation of this electromagnetic background over such a territory, which may be continuous or disjoint. Centralized Processing According to a first aspect of the invention, this method includes a so-called centralized processing which comprises the steps of reception and centralization of data coming from mobile computerized communication terminals, preparation of these data, combination of these data, and constructing and storing a geographical database of this electromagnetic background on all or part of the meshes 20 of this territory. More precisely, these steps are the following: a step of receiving and centralizing, by at least one central server, digital data forming a sample covering said territory and comprising a plurality of unit data sets, originating from a plurality of said terminals; portable computerized systems, each unit set of measurements being received from a terminal within said plurality of terminals and comprising at least: a monosource received power data item representing, at a measurement position and at a measurement instant, a quantitative evaluation the electromagnetic power that is received by said terminal T1 from at least one transmission source operatively accessible by said terminal, on one or more frequency channels, typically only one but optionally several (for example for a bi-network telephone) - according to the terminals or according to the embodiments, this data of received may be a power or intensity value, and represent some or all of the channels of said source, an identification datum of said source, and a geographical datum representing the geographical position said terminal at said measurement instant, at least in two dimensions but preferably including the altitude; o typically but not necessarily, this unitary measurement set also includes an identifier of the terminal and a date and time datum of the measurement instant; Step of performing a preparation process within the data of said sampling, so as to provide, for each mesh and each source covering said mesh, a value representative of the total monosource power received within said mesh from said source over all of its broadcasting capacity, for example to all of its channels 15 according to the broadcasting mode. This preparation treatment comprises, for each mesh and each source covering said mesh: o a classification operation (in the broad sense in the field of statistics) of unit measurement sets made in said mesh and for said source, so as to provide a distribution 20 of said sets according to their received power value, thus constituting an organized analysis sample, specific for said source covering said mesh, for example a ranking by increasing or decreasing values, or a distribution by discrete levels or by histograms , O a step of selecting a subgroup of sets of measurements, within said analysis sample and according to said classification, so as to discriminate between representative measurements and non-significant measurements, thus constituting a sub-group of group of measurement sets said to be relevant for said mesh, and, and 30 o a synthesis treatment of said urs relevant from said received power data so as to provide a value representative of the power received within said mesh from said source (on all or part of its channels); step of carrying out a combination treatment comprising, for each mesh, a calculation of cumulation of the contributions of said sources to provide a mesh intensity data representing the intensity of the total electromagnetic field prevailing in said mesh. and produced by said plurality of sources. This accumulation calculation is made from a plurality of representative monosource total power values from a plurality of sources covering said unitary mesh and belonging to a plurality of networks, and preferably all networks accessible from this mesh, thus realizing an accumulation of the contributions of these different networks in the same mesh and for a determined period; and a step of constructing and storing an electromagnetic background geographic database representing the intensity of the electromagnetic field prevailing in a plurality of meshes and produced by all of said sources. The values of this database can be synthesized and represented for example to represent the intensity prevailing in each cell on the totality of the stored measurements, or for a given period, for example since the last change in the network or since the last construction site or demolition around the mesh. According to a particularity of the invention, the monosource received power data item, which is included in one or more unit measurement sets received by the server from at least one terminal and corresponding to a multichannel transmission source, represents a so-called partial monosource received power value, typically single channel. That is, it constitutes a quantitative evaluation of the electromagnetic power received by said terminal from at least one multi-channel transmission source on one or more frequency channels forming only a portion of the signal channels. emission of said emission source. Typically, the terminal evaluates the power received from the source selected by its operating system, or optionally from several sources that are accessible to it. For example, it evaluates this received power on the pilot signal if it is in standby mode, and / or on the communication channel or traffic if it is communicating as in a conversation. In this case, the preparation process then further comprises an extrapolation calculation providing the representative total monosource received power value from said partial monosource received power data and a parameter data item. extrapolation dependent on said emission source. For all or part of the unit measurement sets received, it is thus possible to directly exploit partial received power data as captured by the terminals in their standard operation. The workload of the terminal is thus minimized and simplified. Since extrapolation is done within centralized processing, the necessary parameters may be easier to find and / or more reliable.

According to another particularity of the invention, the monosource received power data item, which is included in one or more unit measurement sets received by the server from at least one terminal and corresponding to a multichannel transmission source. , is or already corresponds to the total monosource received power data.

According to yet another feature of the invention, this method is characterized in that, within the preparation process, for the same mesh and for the same source: the statistical classification processing applied to a plurality of data sets unit measurements from the same mesh and relating to the same source, comprises a distribution according to the value of their monosource received power data, typically between several discrete levels; and the subgroup selection operation of said unit measurement data sets comprises selecting the data sets which have the highest values for said monosource received power data. The subgroup is then formed for example by a part of the games representing a given percentage, or by games whose value is greater than a threshold, which is determined according to all or part of the values of the analysis sample. . For a level distribution, this subgroup is preferably formed by the data sets distributed in the level or levels corresponding to the highest values for said monosource received power data. Preferably, the selection operation also includes a filtering including a prior check of the non-aberrant character and / or the non-invariance of the received power data. By way of illustration, the invariant data are excluded from the analysis sample, and can be processed separately. Measurements whose invariance is at a value of zero or unrealistic are considered as coming from a technical problem of measurement. The invariant data whose value is realistic and high can be considered as representing a real saturation of the measurement, and are processed for example to trigger detailed information, local and / or centralized processing. Typically, the selection operation includes a selection of only the received power data classified in a small number of 10 major categories (ie the subset of the power values that are highest in the sample of analysis) and collecting a percentage of measurements above a certain threshold. According to another particularity of the invention, this method comprises an operation for converting and / or displaying a value representative of power received in at least one mesh from one or more sources, in the form of a datum representing an intensity of the electromagnetic field prevailing in said mesh and created by said one or more sources. Thus, the data produced correspond to or approximate the various criteria and standards used to evaluate this electromagnetic background, and its possible effects on health. Preferably, this method further comprises a step of publishing, via a computer network, geographic data 25 arranged to display a cartographic representation on display means. Such a cartographic representation is arranged to include, in one or more geographical positions, the mesh intensity calculated and / or stored for the meshes including said one or more geographical positions. These data are published, for example, in the form of a searchable map for connection to a website, or any other mapping application. They can also be used for statistical analysis or alert purposes. Also preferably, this method further comprises a step of sending to at least one terminal having provided at least one set of unit measurements, from at least one application publisher, of at least one terminal. local exposure data representing the computed and / or stored mesh intensity data for one or more meshes, which one or more meshes include the geographical position of said terminal at said instant or have a determined geographic relationship with said geographical position. Each individual application can receive and display in real time the values calculated for the immediate environment of the user.

On-board processing According to a second aspect, the invention comprises a so-called local or embedded digital data processing method implemented by a portable computer terminal communicating or able to communicate by radio frequencies with at least one infrastructure network. Comprising a plurality of electromagnetic sources or relay antennas. In a first variant, which can be implemented in all or only some terminals, this method comprises the following steps: - reading of digital data forming a unitary set of measurements comprising at least: o on the one hand power data received partial monosource representing, at a time of measurement, a quantitative evaluation of the electromagnetic power received by said terminal from at least one so-called transmission source operably accessible by said terminal, on one or more frequency channels forming only one part of the transmission channels of said source of emission - typically the terminal evaluates the power received on the pilot signal in standby mode, and / or the communication channel during a conversation, and 30 o on the other hand a geographical datum representing the geographical position of said terminal at the instant of measurement, at least in two dimensions but preferably in cluding altitude; sending said unitary set of measurements to a server centralizing a plurality of unit sets of measurement of the same type from a plurality of terminals to implement a centralized processing method as set forth herein. The partial power data thus sent are then extrapolated to the totality of each source within the central processing, according to a feature disclosed herein. In a second variant, which can be implemented in all or only some terminals, this method comprises the following steps: reading of digital data forming a unitary set of measurements comprising as defined in the first variant; extrapolation calculation providing, from said received partial monosource power data and a data item representing an extrapolation parameter dependent on said emission source, a total monosource received power data item representing a quantitative evaluation of a cumulative total electromagnetic power received by said terminal from said source of emission, at the measurement instant and at said geographical position of the terminal, on all of the transmission channels of said emission source; sending digital data forming a unitary set of measurements, comprising at least said total monosource received power and said geographic datum, to a server centralizing a plurality of unit measurement sets of the same type from a plurality of terminals to implement a centralized processing method as set forth herein.

According to one feature, applicable to the different variants, the monosource received power data is obtained by reading or calculation from one or more quantitative data provided by at least one radiofrequency communication management software agent included in at least one software. operating system of said terminal. According to another particularity, applicable to the various variants, the embedded processing method further comprises the following steps: receiving, from a publication server, at least one local exposure datum representing or including the datum of intensity of mesh calculated and / or stored for one or more meshes, which one or more meshes include the geographical position of said terminal at said instant or have a determined geographical relation with said position; and displaying or storing said local exposure data by said terminal. Application The invention, in all or part of its various aspects, is applicable in particular when the infrastructure networks comprise a plurality of digital mobile telephony networks, and in particular of the roaming type with management. Transparent source change (or "handover") Preferably, the partial monosource received power data read by the terminals represents the power level received on a signaling channel used by a terminal to communicate with the transmission sources of the source. network outside the telephone communications of said terminal. Preferably, the unit measurement set sent by one or more terminals further comprises one or more complementary monosource received power data, each representing a power received by said terminal from at least one wireless network computer communication source (typically wifi or wimax type, evaluated with or without connection), associated with an identification data of said source or of its type.

Various embodiments of the invention are provided, incorporating, according to all of their possible combinations, the various optional features set forth herein.

List of Figures Other features and advantages of the invention will become apparent from the detailed description of an embodiment which is in no way limitative, and the appended drawings in which: FIG. 1 is a diagram illustrating the architecture and the data streams in an exemplary embodiment of the invention; FIGURE 2 is a flowchart illustrating the processing steps of the embodiment of FIGURE 1; FIG. 3 is a map diagram illustrating an example of a measurement made by a terminal during a trip over a portion of territory covering twenty geographical meshes, implemented in the processing of FIG. 2; FIGURE 4 is a table which collates an example of data measured and sent by a terminal during a period including a displacement, implemented in the processing of FIGURE 2; FIGURE 5a and b are graphs which schematically illustrate the classification processing and selection of unit measurement sets received for a given mesh and for a given source, implemented in the processing of FIGURE 2; FIGURE 6 is a diagram illustrating the cumulative tree of the 15 measurements contributing to the evaluation of the total exposure in a given mesh; FIGURE 7a to FIGURE 7d and are time series of measurements which illustrate an example, under real conditions, of the qualification and synthesis processing carried out by the processing of FIGURE 2 on the measurements provided different terminals for three different networks in the same geographic mesh; FIGURE 8 is a calculation table which illustrates the extrapolation processing applied to the measurements of FIGURE 7; FIGURE 9 is a calculation table which illustrates the conversion processing applied to the values of FIGURE 8; FIGURE 10 is a diagram illustrating the cumulative tree of values of FIGURE 9 contributing to the evaluation of the total exposure in the mesh measured in FIGURE 7; FIG. 11, FIG. 12 and FIG. 13 are screen shots which illustrate the display windows by the on-board application of a participating terminal: measured time results on the same terminal, resulting chronological results. measures of the community of users for the position of this same terminal, with a tab presenting contextual comments from scientific studies, and o a tab presenting for comparison a list of legal standards in different countries; FIGURE 14 is a simplified screen illustrating a display window of a map representation of the mesh intensities resulting from the processing of FIGURE 2, on a participating terminal or on a computer accessing the website; FIGURE 15 and FIGURE 16 are positional maps of satellite photo infrastructure sources provided by the Cartoradio service of the National Agency for Radio Frequencies (ANFR) Description of an Exemplary Embodiment The architecture and principles of servocontrol of the mobile service related to radiotelephone antenna networks are based in particular on the fact that each antenna and / or carrier transmits a reference signal on a dedicated "pilot" channel, according to defined generic characteristics. in the different standards - for example, the BCCH channel for the GSM standard, the P-CPICH channel for the UMTS standard, and the Beacon channel for the Wifi 20 standard.In transmission and at the output of the antenna, the signal on the pilot channel is constant in intensity and frequency structure, thus bearing the specific signature of the operator of the network.In the mobile terminal, this signal is discriminated for a given operator, by the pro gram of the SIM card.

The intensity at reception of this signal on the pilot channel is measured continuously, for each of the sources that are accessible to it within this network. The measurement of this intensity provides servo support in particular for various following functions. This measurement is used by the terminal for determining and 'hooking' dynamically by the terminal of the carrier and / or the antenna, making it possible to optimize the quality of service, by selecting the pilot channel and thus the source which is received with the greatest intensity, among the different pilot channels available to him. It is also on this basis that the terminal establishes and displays the signal level indication presented in real time to the user, generally in the form of a number of bars. 3038168 - 15 - It is also used, when sent back to the grid, to regulate the emission characteristics of neighboring antennas if they are adjustable, for example for the UMTS standard - in particular for power, spectral width, and coverage .

FIG. 1 illustrates by way of example a portion of the architecture and data streams in an exemplary embodiment of the invention. By way of example, the infrastructure 10 here comprises two networks R1 and R2 of cellular telephony. These two networks are for example functionally distinct, and generally incompatible with each other. That is, a mobile terminal using a single SIM card can only connect to one of these networks. In the territory covered by this infrastructure 10 are illustrated here several geographic coverage areas, shown in dotted line at one point. A first geographic coverage area 10a is covered by the relay antenna A1a for the network R2, and by the antenna Aga for the network R2. A second geographical coverage zone 10b is covered by the relay antenna A1b for the network R1, and by the antenna A2b for the network R2. Within this territory, this infrastructure 10 may also comprise a grid RW of local sources of wireless network connection, here illustrated by the source W3, for example of the 802.1g wifi terminal type, for example an Internet modem of particular or corporate, or a public terminal wifi or wimax. The invention uses a measurement process carried out separately by a large number of terminals configured to connect with the various networks of the infrastructure. These terminals are of a type with a "geographical" geographical location function, and potentially "indoor", for example by GNSS satellite positioning such as GPS, Galileo or Glonass, 30 but possibly also other types of positioning such as triangulation or inertial navigation. Such a geographical positioning system is here called "GPS", even if it uses another constellation of satellites than the GPS system, or even several constellations in a combined way, or works in another way. These terminals are here illustrated in the form of tactile smartphones, but can also be any object connectable to such networks, generally using a SIM card issued by one of the operators managing a network, for example a touch-sensitive computer tablet or a laptop. These terminals are preferably of a type using a computer operating system of a type for installing different additional applications, in addition to the functions originally provided by the manufacturer. The measurement and sending processing of these measurements is preferably carried out by such an application, downloaded and installed by each terminal user and which operates in the background as long as it is in standby mode and able to switch or receive calls. Within this set 11 are shown here three mobile terminals T1, T2 and T3. Terminals T1 and T2 shown here use a SIM card to functionally connect to the network R1, and are thus denoted "ri" in the figure. The terminal T3 shown here uses a SIM card to functionally connect to the network R2, and is thus denoted "r2" in the figure. Within this territory are illustrated different meshes mi, m2 and m3. These meshes correspond to restricted geographical positions, preferably defined in three dimensions, of a determined size so that the intensity of the electromagnetic background is substantially constant. Such meshes may for example have horizontal dimensions of the order of a few meters in urban or closed area, or a few tens or even hundreds of meters in an open area or rural. In the figure are illustrated several successive geographical positions for the terminal Ti. Thus, this terminal is denoted "Ti, ri, pi" when it is at a position pi located in the mesh mi. It is noted "Ti, ri, p2" when it is located in the m2 mesh, and "Ti, ri, p3" when it is located in the m3 mesh. FIG. 2 schematically illustrates the progress of the method illustrated in FIG. 1. This method comprises two major corpora of automated processes, routines and algorithms. One relates to participatory local processing, including signal acquisition and processing, performed by a multitude of numerous and varied terminals, in their connectivity networks as well as in their geographical positions. The other relates to a post-processing arranged to determine values of appreciation of the electromagnetic field, by selection and extrapolation, and to achieve an accumulation and mapping. The entire process is compatible with an implementation in alignment and / or analogy with the standards and procedures in force in the field of characterization of non-ionizing electromagnetic radiation, while allowing possibilities to cope with the choices and constraints of high level resulting from the key factors of success related to the user experience.

The method comprises a measurement operation, carried out locally by a large number of standard intelligent mobile terminals, thus forming a participative measurement community, which perform this operation in a transparent manner and without the intervention of the users of these devices. terminals. The participatory local part of the method is performed on the different mobile terminals T1, T2, T3 by an on-board application TL executed by the operating system of each of these terminals, as illustrated in FIG. 2. Using the different antennas of the mobile , the measurement algorithm retrieves the reception level of GSM, UMTS and WiFi radio waves. This process is repeated as long as the application is running and whenever the algorithm detects a change in GPS position. A timer system triggers the measurement system again if the user remains stationary for a specified time. The generated measurement flow is sent to the server in real time or saved in the local database to be sent later, for example in case of loss of coverage.

In each T1 of these terminals, throughout its operation and as long as the application TL is loaded in its memory, in standby or in communication, this application performs an iteration of an acquisition process 211 and sending 214 data J113 to one (or more) centralization server 121. In this reiterated process 21, a step 211 comprises a reading of the sources functionally accessible by this terminal, at the location where it is located , here in the case of the terminal T1 of the network R1 at the position p3.

At each moment of measurement, using the radio frequency management components and functions of the terminal and its operating system, the application TL reads and stores 2111 a data item D31 which represents the level of the pilot signal of the source A1b. network R1 with which communicates the terminal, and a data identifying this source or its type. By the same means, it reads and stores 2112 the signal reception level of all sources of network connection in range, here the wifi source W3. The mobile application uses the location system integrated in the Smartphone to add geographic information to each measurement 15 in particular for later display on a map. The location system is based on the GSM / UMTS relay triangulation technique and / or on the integrated GPS, and preferably both. Using the components and the geolocation functions of the terminal and its operating system, the TL application reads and stores a data item representing the geographical position of the terminal at this time of measurement. As soon as or later, the application TL sends this data to the centralization server 121, associated with a date / time data item representing the measurement time, thus forming a unitary measurement set 3113. As illustrated in FIG. T1, T2, T3 executing the embedded application, different models and / or subscribers to different networks R1, R2 send sets of measurements as and when and regardless of their position. The terminal T1 of the network R1 thus sends a set 3111 for its position p1, then a set 3112 for its position p2 (comprising a set 3112a for the source A1a and a unit set 3112b for the source A1b), and a set 3113 for its position p3; the terminal T2 of the network R1 thus sends a game 3123 for its position p3 '; and the terminal T3 of the network R2 sends a set J233 for its position p3 ". As part of this process, it should be noted that the application TL does not need to carry out a set itself. pilot channel signal search, since it is automatically discriminated (by the operator's signature) at the RF functions of the terminal For example, the quantitative values in dBm of the operator specific pilot channels are available in real time on the mobile terminal via the RSSI or RSCP flows, which the person skilled in the art can programmatically automate capturing The TL application realizes this capture with an adjustable periodicity, as well as the formatting of these data for routing on the fly 10 to the centralization server 121. For example, the following contextual information is also recorded in addition to the power levels: - unambiguous identifier of the source (carrier identifier or antenna), operator, 15 - standard of telephone communication (GSM, UMTS, Wifi), - date and time, - terrestrial coordinates (latitude, longitude). By aggregating with the flow of power values, each measuring point (terminal, date / time, position) is given own attributes which will allow the subsequent processing, in the form of a unitary measurement set, noted here J113 for the terminal T1 in its position p3. Each raw input or set of measurements includes, for example: the type of terminal used, an identifier of the terminal used, the date and time of measurement, the geographical coordinates (for example GPS), the operator, The list of frequency / power pairs for the current cell (that is to say the preferred antenna in the event of communication) and the neighboring cells (ie the other compatible but less well received antennas); type of communication technology (eg GSM / UMTS), - The list of frequency / power pairs of WiFi terminals within range. It is thus possible to map all the locations of the territory in which a sufficient number of such sets of measurements is made and sent by a sufficiently large number of terminals belonging to all the networks of the territory. According to the embodiments, or in a variable manner within the same embodiment, measurements from the same terminal at one time and relating to several sources can be transmitted in the form of a single set of measures, or divided into several sets of "unitary" measures at the rate of a unitary game per source. In FIGURE 1, the sets of measurements are illustrated as follows: - 3111 by the terminal T1 in position p1 in the mesh m1, for the source 10 A1a of the network R1 (a single source received), - 3112 by the terminal T1 in position p2 in the m2 mesh, for the sources A1a (unit set 3112a) and A1b (unit set 3112b) of the network R1 (two received sources), - 3113 by the terminal T1 in position p3 in the mesh m3, for the source 15 A1b of the network R1 (a single source received), - 3123 by the terminal T2 in position p3 'in the mesh m3, for the source A1b of the network R1 (a single source received), - J233 by the terminal T3 in position p3 "in the mesh m3, for the source A2b of the network R2 (a single source received).

The TL mobile application is in particular downloadable from the website in a conventional manner, and can be installed on several models of mobile terminals to give them the functionality that provides method. The application collects information from the various integrated sensors (GSM / UMTS radio antennas, WiFi antennas, GPS, clock) and is sent in real time to the server. The mobile application receives from the server different information produced from the set of participative measures, and displays them for the user. The latter can thus take cognizance of the measurement of power in dBm in situ in real time, in the specific spectral range of its operator. It can also read a value of appreciation of the electromagnetic background at the place where it is, resulting from the cumulation of all the measurements recorded in this place given by the participants, aggregating the measurements taken in the whole range of spectral 35 public . As can be seen, for the participating users, the implementation of the invention requires no hardware other than a mobile terminal of the market having at least a connectivity on a GSM / UMTS network (subscription and related on-board antenna) having digital data transfer capabilities (e.g., a mobile Internet connection), as well as a geolocation function. The presence of a WiFi connectivity (with embedded antenna afferent) is necessary for the evaluation of the influence of infrastructures wifi. However, the part of the invention relating to the evaluation of the effect of cellular telephony antennas can still be performed by terminals without wifi connectivity, or when it is deactivated. Thus, for these participating users, the implementation of the invention induces little or no specific constraint that would be likely to impact the passive user experience in his daily life.

15 The driving forces and motivations of the community of potential contributors to this method can indeed be diverse, ranging from the responsible 'citizen' gesture, to scientific and technical curiosity, to the simple need to feel active about a situation. anxiety in the face of a feeling of danger and no possibility of action.

In particular, no specific recommendation is provided as to the in situ measurement method, configuration or position of the mobile terminal. This provides good acceptability for these users, while offering them specific advantages in terms of information on their electromagnetic environment. These characteristics thus promote the possibilities of broadcasting the mobile application to a large number of users, which is both a necessity for obtaining significant results and an improvement in the result obtained, both in terms of completeness and reliability.

Centralized Processing The method also includes a centralized portion, which receives and processes the measurements made by the participating mobile terminals. The unit measurement sets are received and centralized by a centralized platform 121 executing an application SC which processes these data sets to form a BDT map database representing an evaluation of the electromagnetic background at each measured location of the territory, at least for the bottom created by the infrastructures thus measured.

In order to constitute this cartographic database, this centralized processing extracts, on each mesh and for each source of transmission on a pilot channel detected on the mesh (here by discrimination via the 'frequency' column), the physical values representative of the electromagnetic field. who bathes this mesh.

This map database is used to send SPA different data A113 to the TL embedded application of the participating terminals, in particular data relating to its electromagnetic environment. This database BDT is also used by a web site SPW, 15 hosted by the same platform or by another 131, for example by a client-server application, to enable the Internet to consult a map of the territory including the information of total exposure of the mapped territory. Centralization 20 This centralized processing SC comprises a reception and centralization of all the unit data sets 3111, J112a, J112b, J113, J123, J233 transmitted by the different terminals T1, T2, T3 executing the embedded application TL. The continuous and automatic stream of reception measurements on the pilot channel for each of the standards (eg GSM, UMTS, Wifi) constitutes the source of the quantitative exposure data collected in the context of the present method. All the games thus received form a T21 sampling covering the entire territory covered by the participating terminals 11.

Preparation processing Once received and stored by the centralization server 121, the data of the unitary measurement sets 3111, J112a, J112b, J113, J123, J233 are subjected to a statistical preparation processing 223. Registration of the locations Within this preparation process 223, each set of unitary measures is assigned to a geographical mesh m1, m2, m3, chosen from its geographical position data p1, p2, p3, p3 ', p3 In the case where the measurement accuracy of the terrestrial coordinates is insufficient, ie when the location uncertainty at the time of the measurement exceeds a predetermined limit value, stored in the terminal or in the server, the transmission 124 of the T1 measurement point to the server is blocked, in order to promote data quality upstream.This limit value is linked, for example, to the step of the selected topographic mesh 10 for the final cartography of the data. Upon receipt of the data 3113 from the measurement point on the server 121, an encoding of the location coordinates is performed via the mesh repository, wherein each point or set 3113 is uniquely allocated to a mesh identified by a number or ID. If the mesh 15 already exists, that is to say that it has already been traversed previously by a user having sent a unit game for this mesh, the number of this mesh becomes the coordinate identifier of the point. Otherwise, a new mesh is created with incrementation of the identifier. By this algorithm, the center of the mesh becomes the reference point 20 at which the level of radio exposure will ultimately be associated, with a representativeness extended to all the mesh and volume afferent. Thus, as illustrated in FIG. 1, a terminal travels, for example, the path represented by the curved arrow crossing the grid. In this trajectory, the round points represent the GPS position of the spatiotemporal measurement points, for which the server 121 has each time received a set of unit measurements. The meshes in gray are those that have already been identified before. The measuring point noted in the first mesh at the top left is the first for this mesh, it is therefore assigned a number, here # 51. The terminal then sent five unit games identified in a mesh already identified as # 2, then three games in the mesh # 37, then two games in the mesh # 14. The following six measurement points have been identified in an unidentified mesh, which is therefore numbered # 52; and the next point in yet another mesh, which is therefore numbered # 53. The table of FIG. 4 represents various unit measurement sets taken during a period of time including a displacement, once stored in the centralization server 121 and allocated to the corresponding geographical cells, on the basis of a unit 5 measurement set per line. The structure of the columns is as follows: - 'id': incremental number of the unitary set of measurements; - 'frequency': source identifier (carrier / antenna); - 'operator': designation of the operator; - 'power': power of the signal in reception on the pilot channel; 10 - 'radioaccess': standard connection (GSM or UMTS or Wifi); - 'record_date': date and time of acquisition; - 'coordinate_id': identifier of the mesh (calling the coordinate encoding table); - 'user id': identifier of the user.

In this table, each unit measurement set established by a given terminal at a given time comprises one or more lines, one line for each source. The first line, identified as the game No. 2254482, thus corresponds to the UMTS frequency source 484043 of the "OP1" operator.

It provides a received power measurement of -97dB for the pilot channel of this antenna, performed by the terminal identified as "-2" at an identifier location 269946. This measurement was carried out on October 27, 2013 at 17h 58mn and 58s, at a moment illustrated here as t1. At time t2, a second later, the same terminal moved and made three simultaneous measurements at location 269950, providing three games identified as # 2254483, # 2254484 and # 2254485. each provided a power measurement received from the pilot channel of three different antennas, all UMTS type and belonging to the same operator OP1: 30 - frequency antenna 484043: received power -97dB - frequency antenna 70: received power -101dB - antenna frequency 380: received power -111dB From time t3 to time t6, the same terminal continued to move. At each of these instants, he made three simultaneous measurements corresponding to the same three antennas. As can be understood, the embedded application can thus provide power data for all sources of the network OP1 detected by the terminal: not only the source that would be selected to establish a communication (here the antenna 484043, between t1 and t6), but also those that are compatible but are received with less power. At times t7, t8 and t9, approximately 22 hours later, the terminal was within range of only one source, frequency 677884. It then made three sets of measurements at the same location 269953, ie a only game for every moment.

It should be noted that the data of FIGURE 4 do not necessarily correspond to the displacement of FIG. 3. Qualification of the data Before evaluating the exposure values, the centralized and recorded data are then processed. For this, a set of data forming the analysis sample is prepared from the set of centralized measurement points as described above, applying to them all or part of the following processes and criteria. , and preferably each one of them.

Filtering: Artificially stationary values are cleaned on all centralized measurements. This process includes detection and elimination of series of unit measurement sets having the same power value received and from the same user in several different locations. This makes it possible to eliminate all data coming from badly or poorly compatible terminals, for example from certain terminals and operating systems or combinations of both. This type of series is detected for example by a stationarity test on a sufficient number of points. In the centralized measurements, this terminal is for example identified and removed from the sample.

Sample Composition: A size test and diversity test is performed on all the centralized measurements, by mesh and network. Measurements of a given mesh, at least for a given period, are included in the analysis sample only if the number of points for a pilot channel is greater than a given minimum number of measurements, and if 3038168 - 26 the number of different terminals that have contributed is greater than a determined minimum number of terminals. A 2231 qualifying process is performed on all data, preferably after the above filtration processes. This treatment thus makes it possible to select, or to make predominant, the measured physical values which are representative of the exposure which actually exists at the measured location, ie measured optimally independently of the measuring apparatus and the conditions of this measure. Classification: A classification step 2231a is performed within this qualification process. For each pair formed by a geographic mesh and an emission source, this step ranks according to the value of their received power data, within the set of unit measurement sets concerned. In FIGURE 5a is thus illustrated such an assembly 330 of twenty measurement points (or sets of units) qualified corresponding to a mesh and a source. In this figure, these measurement points are represented distributed on the different discrete levels 331 of the measuring range of the terminal, from the received power data item D31 of the corresponding unitary measurement set, or in the present example between -51dBm and -113 dBm (according to "ASU" levels as specified below). FIGURE 5b shows the same classification in the form of histograms by measured power levels, and the individual height of which represents the number of occurrences of measurement points for each level. Selection: A selection step 2231b is then performed within this classified set 330, selecting a subgroup 332 of measurement points which is formed by the points belonging to the level or levels including measurement points and corresponding to the maximum power received, ie less attenuation. The selected levels are chosen for example to represent a given proportion of the number of populated levels, or a specified proportion of total number of points. In this example, the subgroup 332 of major points is defined as the association of the first three successive populated levels. If these three levels do not contain at least a given percentage of the total number of measurement points, for example at least 10%, the following levels are added until this criterion is met. Other modes of selection are possible and contemplated, alternately or in combination, for example by introducing a weighting for the subsequent taking into account of the points of the higher levels, while keeping a greater proportion of the points of the initial set 330 even the totality. In this exemplary embodiment, the algorithm for determining the subgroup 332 of major points takes advantage of the discrete nature of the distribution of the measurement points of the signal on the ASU levels (for "Arbitrary Signal Unit"), a characteristic terminals known to those skilled in the art. These levels are distributed with a step of 2dBm (resolution) between two extreme values (for example -51 dBm and -113 dBm) which constitute the sensitivity range of the terminal. In fact, the measurement points are distributed over a finite number of levels 331, the number of which varies according to the dispersion of the measurements. It is therefore permissible to speculate that the subgroup 332 of major points is naturally among the 'first' populated levels within the set 330 of the measurement points. Given the resolution of the measurement and the typical dispersion in the case of a low noise signal, ie under controlled conditions, with a reduced extrinsic component 25 This qualification treatment 2231 thus makes it possible, for each mesh-source pair , to filter the points of the analysis sample by keeping only those with the lowest attenuation, and therefore regardless of the origin of such variations. This treatment thus makes it possible to exclude or minimize the measurements that have undergone additional variations, and for example: "intrinsic" variations, due, for example, to transient and punctual variations in the propagation conditions, or to "extrinsic" variations ", due to the random conditions of the measurement such as the position of the operator or the way in which the terminal is held or transported, or other variations such as dispersion on the extension of the the mesh, that is to say the variations related to the distance of the source, which can be significant inside the same mesh. This treatment makes it possible to replace the search for the maximum in the physical space during the measurement (provided for by the measurement standards) by a treatment intended to determine all of the major points among all the measurement points. It makes it possible to extract a representative value of the signal despite the fact that the initial measurements come from a collection carried out without specific rules, and without recommendations to be followed by the users of the terminals. The method thus makes it possible to obtain a relevance of the results provided with respect to the actual conditions of exposure but also of the standardized methods of measurement, which recommend the search for the inconvenient case in situ 'by hand' and the minimization of extrinsic attenuation by the measurement procedure. This principle is also prudential because it focuses on identifying the worst case in terms of exposure, by looking for the local maximum signal. This allows the process to get closer to standardized standards and recommendations for this type of measurement.

Mesh synthesis processing A synthesis process 2232 is then applied to the unit measurement sets selected as relevant at the end of the qualification process 2231. For each mesh and from each source individually, the selected received power data. are then used to calculate a representative value data S31, unique for this mesh, representing the power of the signal as it is received in this mesh from this source. This calculation can be done in various known ways in mathematical statistics. This calculation is for example a weighted or non-weighted average, for example according to the population of the levels and / or a coefficient of influence attributed to these levels. In the present example, the representative value S31 of the received signal power is interpolated by averaging the selected levels to form the subgroup of majors, here the top three, weighted by the respective population. from each of the three levels. In the example presented here, the set of previous processes, in particular constitution 221 of an analysis sample and statistical processing of the signal 2231, 2232, thus make it possible to determine a value S31 representative of the power on a pilot channel from a source, from the user community's measurements in a mesh. In particular, as long as the number of sets of unit measurements received for a mesh is insufficient to constitute and prepare such an analysis sample, statistical processing is not performed and the method provides no representative power value. nor exposure value for this mesh. Thus, a performance criterion for selecting an appropriate treatment 221 and 2231 is based on its ability to identify a representative value with sufficient confidence for a minimum of points in the statistical sample for each cell and terminal. Postprocessing: exposure evaluation value From this representative value of power of the signal received, the method comprises a post-processing aimed at calculating the total power received in each cell, preferably in the form of an electromagnetic field strength to which any person or object in this mesh is exposed. Extrapolation In the present example, the power data received in the unit measurement sets J113 represent only the pilot channel powers of a source, and are therefore of "partial" type for this source. They only characterize the power received on the single pilot channel of each source, ie only a fraction of the total power related to the activity of each source on the set of active traffic channels.

That is, they relate only to a fraction of the power actually emitted by the measured source. As illustrated in FIGURE 2, for these "partial" received power data, the representative value S31 of the signal power is subjected to an extrapolation processing 2233. A representative value is then obtained. received power S32 that can then be qualified as "total" for this source, because representing the power received on all channels of the source concerned. Particularly concerned are the sources formed by mobile telephone relay antennas A1a, A1b, Aga, A2B for which the received power data is measured by the terminals from the transmission power of the signal on the pilot channel. Indeed, this power of the pilot channel is a constant fraction known (GSM, Wifi) or flat (UMTS) of the maximum transmit power of the antenna and / or the carrier in full load. The ratio of the signal strength on the pilot channel to the maximum transmit power of the antenna defines the extrapolation factor. For the different types of sources, or even for each individual source identified, this extrapolation factor is read or received from a database, internal or external, here referenced "BDS". In order to estimate the total power P tot-mesh of a source perceived in the measurement mesh from the power of the pilot channel measured in this mesh P - pilot - mesh to treat the case pejorant with all the active traffic channels in In addition to the pilot channel, an extrapolation factor K is applied, the expression of which is simply the ratio: where PMax (W) is the maximum transmit power of the antenna at full load (one or more pilot and traffic channels ) and Ppjiote (W) is the transmit power of the pilot channel signal. In a non-dispersive medium, this equation remains valid regardless of frequency and distance. The total power value Ptot-mesh (ie S32) obtained from the source is thus obtained by extrapolating from the local value P - pilot-mesh measured for the single pilot signal in the mesh (ie say S31), via the extrapolation factor K: (2) In the case of sources operating according to time division multiplexing or frequency division (GSM, Wifi) based standards, K is simply the number of divisions ("slots"). ") per carrier (the pilot channel 3038168 - 31 - occupies a division), ie typically 8 (20) for GSM (Wifi). In the case of standards operating differently, such as the UMTS standard whose multiplexing is parallelized over a frequency band with variable power and width depending on the activity, the approach is less direct and requires the definition of a representative standard value. This value is for example a value of the order of 10, consistent with the consensus currently emerging in the technical and scientific literature, or of the order of 20 as advocated by the ANFR. This value can also be chosen between these two values, or for example between 7 and 30.

The value of the total power S32 generated by a source (pilot and traffic channels) measured by the reception method in a mesh, P tot-mesh is thus calculated from the measured representative value P-mesh injected into the equation. (2). It should be noted that this extrapolation treatment can also be carried out at various other stages of the overall process, alternatively or in combination. As illustrated for example in dashed lines at the top of FIG. 2, all or some of the terminals may be parameterized or programmed to perform this extrapolation processing 213 themselves, and thus send data sets including a received power data item. "Total". For these measurement points, the statistical qualification processing 2231 is then performed in a similar manner on the total received power. If only a portion of the unit measurement sets include total received power, an extrapolation process is for example centrally performed by the centralization server 121 on the partial received power data prior to the 2231 qualification process. Field power A conversion processing 2234 is applied to this total received power data S32 to provide it as an exposure value representing the V / m3 electric field strength, and thereby to determine the values assessment of radio exposure. It should be noted that this conversion may also be performed at various other stages of the centralized processing SC, for example within the terminals, or at receipt 221 of the data, or after the qualification 2231 and before the extrapolation. 2233, or after taking into account 225 of the cumulation of the sources, since we integrate the mathematical changes necessary to preserve the homogeneity and the coherence of the mathematical treatments and the units applied.

The power P (in W) perceived by a receiving antenna is related to the effective electric field E (in V / m) by the following relation: E2) 2 P = - G Z 4n. where Z is the impedance of the vacuum (377 Q), A is the wavelength (in m) and G is the gain of the receiving antenna.

In the present case, A is given by the representative or actual frequency characteristics of the concerned standards, and the gain G is that of the antenna of the mobile terminal. The latter can be for example estimated at a flat rate of 1/2, according to a simple reasoning considering an omnidirectional antenna on 2n steradian and the literature which mentions typical values of -3 dB. This parameter can also be tabulated according to the data of the constructors. The value of the effective electric field generated by a source in a mesh, that is to say by the traffic channels and the pilot channel, is calculated by injecting into equation (3) the previously calculated P-tot-mesh value. that is, the representative value S31. Optionally, it is planned to take into account the fact that the gain is often lower than this value, as shown by studies on terminal antenna gain and its variability, especially taking into account the extrinsic factors that affect the reception. For this purpose, the onboard application TL asks the user to enter the references of his mobile terminal. For the same power received, the low gain devices measure a lower value than the others, thus underestimating the received power, which could induce an underestimation of the field in fine. In order to use a real value for the apparatus, compensation processing is then provided to apply fine coefficients of "derating" of the gain of the terminals. This compensation processing can be applied for example within the mobile terminal, or within the centralized processing by using an identification data item (3) of the terminal type received from the terminal in each set or separately. . However, it should be noted that the 2231 qualification statistical processing makes it possible to reduce or even eliminate the influence of this factor, since the measurements of the low-gain devices are pushed out of the group of major points and tend to be of little weight. in the representative value S31 calculated. Cumulative contributions per cell For each cell, from the total power S32 received by each of the sources A1b, A2b, W3 perceived in this cell m3, or the intensity of the electric field which results, the cumulative electric field values from these n sources, realizing the quadratic sum of the contributions according to the following relation: E 15 where E (in V / m) is the field resulting from the accumulation of n contributions Ei. Thus, FIG. 6 schematically illustrates an example of a type of accumulation sequence for a single mesh, from the value of the electric field "Ei" generated by each source "i" in this mesh.

Thus, for the operator A, the field contributions created by the GSM standard sources numbered from 1 to "n" are cumulated to give an EGSM contribution, Operator A; and the UMTS sources numbered from 1 to "m" are accumulated to give EUMTS, Operator A- These contributions per standard are then cumulated to give a contribution per operator EOperator A- The same operation is performed for all operators up to to the operator N in this same mesh. Wifi sources from 1 to "L" are also accumulated together in this same mesh.

All these contributions are then cumulated to give a global exposure intensity Eva (referenced E5 in FIGURE 2) in this mesh, and which represents the electromagnetic background created in this mesh by all these different sources. This cumulative processing is performed for all meshes for which a representative value S32 of power received from a source has been calculated. A geographic integration step 227 is carried out for the territory, which links each of the different meshes thus evaluated with a given sector or geographical position in the territory thus covered, for example the central position of each geographic mesh. Optionally, for each of the meshes having provided at least one representative value S32 of power received from a source, the centralized processing SC comprises an operation of checking the completeness of the infrastructure, by checking the number or even the identity of the sources taken into account. 15 counted by the TL terminals and the centralized processing SC. For example, a list of sources for which unit measurement sets have been received 221 and qualified 2231 is compared with an infrastructure list that lists all or part of the sources currently supposed to be active and within range of that mesh. This list is for example read from or received from a BD10 infrastructure database. Optionally, this check is made for a list of infrastructure that can be partial, that is to say including only part of the existing sources, for example the only sources of mobile telephony, or further including public access wifi sources or accessible to all customers of a network or operator. In the case of such a verification, the resulting value E5 for each cell is deemed to be "appraisal value", within the meaning of the exposure measurement standards or to be used in a similar or comparable manner, if it includes at least the cumulation of the values N telephony operators 30 who have a relay antenna within range of this mesh, or if this accumulation includes at least all the relay antennas declared by these operators for the geographical position representing this mesh. At the end of this treatment, for each cell, an E5 evaluation value of the total electric field resulting from the public or listed radiocommunication infrastructures results, with a selectivity of extraction possible per operator, standard and source. Complementary Cumulatively Optionally, the E5 mesh intensity values can be further supplemented by adding contributions from other types of electromagnetic infrastructures known and listed but not measured by the terminals. For example, they may be more powerful, but fewer and better indexed sources, such as radio relay stations or aerial surveillance radars. Publication of the information The set of appreciation values of the different geographical grids is stored and made accessible 228, or "published", by a publication processing 228, for example in the form of a territorial data base BDT . For each mesh, no information on the level of exposure relative to this mesh is published as long as no value of appreciation of the electric field is available with sufficient completeness for this mesh. Moreover, activity tests of the various channels (in particular 20 for Wifi) are performed periodically, to eliminate the obsolete contributions of the cumulative values of appreciation. This information is preferably published in various ways, in particular by an SPW web publishing process in the form of Internet access 230 to a website.

Mapping access: The evaluation values of the various meshes are plotted on a map 1410, for example displayed in a window of a web browser on a computer 141 or a mobile terminal 142. As illustrated in FIG. 1 and FIG. rating values are indicated on this map by graphical patterns 1411, 1412 30 superimposed on the map at the location of the geographical position of their respective mesh. In this example, these patterns are formed by dots displayed with discrete colorimetric coding, representing different levels of judgment value as indicated in legend 1419, and whose topographic extension (in diameter or area) represents approximately the mesh size. geographical area on which the integration calculation of the signal having provided the representative value of exposure E5 has been carried out. In other examples, the appreciation value may be represented by the size and / or shape of the pattern affixed to the card. Optionally, the site interface may provide access to different additional information for each location, e.g., the number of elemental measurement sets corresponding to that location or the calculated field value, or the dates of the first or last measurements made. The mesh used is preferably made on the basis of standard geodetic systems, for example the Lambert system. Optionally, an evaluation is carried out for meshes whose value of appreciation is lacking, by extrapolating from the values of neighboring cells, for example by techniques known to those skilled in the art such as the "Kriging" method. In this case, it is stated in the publication that this is a topographic extrapolation and not a value based on the in-situ measurements. Quantitative content: For each point 1411, 1412 shown on the map 1410, a report made available: it contains the quantitative elements as measured by the community of users, for example the representative power value P - pilot-mesh S31 , as well as the extrapolated S32 and calculated elements derived therefrom such as the single-source intensity value S33 and the evaluation value E5 of the radio exposure. Qualitative content: For each point shown on the map, an explanation and a putting in perspective of the values of appreciation of the electric field are displayed for example in a window or a tab: - for example by comments and explanations as illustrated in part bottom of the screen of FIGURE 12 which displays a comparison with the exposure thresholds defined by the norms, the law, the 30 recommendations and the scientific studies in different countries, and / or - by comparison with the thresholds of alert the various normative or legal references in force in the field, as illustrated in FIGURE 13 which represents another tab at the bottom of the screen of FIGURE 12. 3038168 - 37 - A contextual report is also available, mentioning for example the sources detected at the point considered (detected carriers), those whose statistics are complete and those whose analysis sample 330 is in the process of being constituted (eg because the number of 5 points received is less than the minimum number required). This type of explanations and follow-up information allows the person consulting the database to know the progress of the measurements, in particular in his environment and for those to which he has contributed, and allows everyone to view the result of his participation. This opens up many incentive initiatives, for example of the playful type or as a challenge to be taken up, which can constitute additional sources of user adhesion. Feedback in real time to the user: Preferably, the information from the BDT territorial database is also used by a server 131 to send SPA to the on-board application TL of the participating terminals T1, calculated data A113 , in particular the appraisal value E5, for example for its current geographical position p3. Alternatively or in combination, for example depending on the setting of its application TL, the data A113 received in real time can relate to the environment of one or more other positions, for example a future position; for its own terminal or for one or more other terminals, for example the terminal of his child. As illustrated in FIG. 15, the geolocation of the user makes it possible to present him in real time the cartography of his environment, corresponding to the mesh m3 including the position p3 on which it is located, with the capitalized appreciation values that it contains as produced by this method (not shown here). This map also includes a representation of the different meshes, possibly with their respective appreciation values (not shown here). In this example, this map is based on data provided in France by the "Cartoradio" service of the National Radio Frequency Agency (ANFR). As illustrated in FIG. 16, this map is also presented to it, for example with the position of the different surrounding sources, here three relay antennas A1b, A2b and A3. Diagonally-filled square symbols correspond to other types of sources listed by the AN FR. As shown in FIGURE 11 and FIGURE 12, the embedded 5 TL application also displays in real time when it is displayed on the screen in a window resembling the screen of a measuring device, in digital form and in form. graphs or histograms: in FIG. 11, the time series 2421 of the power values captured for each standard (GSM, UMTS, Wifi), here as captured by the same terminal, and FIG. 12, the series corresponding cumulative power 2422, for all standards, as returned SPA by the publisher 131. If the application TL is set for this, it can also display part of the background data permanently and / or intervene with a specific signal if one or more thresholds are exceeded. Processing Example In FIGURE 7a to FIGURE 7d are exemplified in real-world exemplary portions of the T21 sampling as received 221 by the centralized processing and after filtering the invariance and diversity tests for a given mesh. In FIGURE 7a and b, the analysis sample consists of the partial monosource received power values D31 of a set 330 of 25 sets of unit measurements received over time by the same terminal "T1" and for different sources. different (carriers) A1a and A1b of the same operator "Op1". In FIGURE 7c, the analysis sample consists of the partial monosource received power values D31 of a set 330 of sets of 30 unit measurements received over time, for the same source A2b of the network of another operator. "Op2", by two different terminals, first by another terminal "T2" and then by the terminal "T1" reconfigured for this network. In FIGURE 7d, the analysis sample is constituted by the partial monosource received power values D31 of a set 330 of unit measurement sets received over time for a source belonging to the network of stills. another operator "Op3", by the same terminal "T1" reconfigured for this network. In these figures, the rectangular window represents the sub-group 3332 of the selected major points 2231b at the end of the qualification processing 2231. This subgroup 332 constitutes the relevant values which are used to carry out the synthesis treatment 2232. The representative value S31 which results from this synthesis treatment 2232 for the mesh concerned is here indicated in figures in the figure. In this example it is a weighted average. FIG. 8 illustrates an exemplary extrapolation processing 2233 from the representative monosource partial power S31 data from the qualifying process 2231, to obtain representative S32 values of total monosource received power for that same mesh. FIG. 9 illustrates an example of intensity conversion processing 2234, to provide a total monosource intensity value S33 from the representative values S32 of total monosource received power from the extrapolation processing 2233 for this same cell.

FIG. 10 then illustrates the cumulation tree made by the combination processing from the measurements and calculations of FIG. 7, FIGURE 8 and FIGURE 9, thus giving an evaluation value, or mesh intensity E5, of a value of E '= 0.1632 V / m.

Of course, the invention is not limited to the examples which have just been described and many adjustments can be made to these examples without departing from the scope of the invention.

Claims (14)

REVENDICATIONS1. Method (SC) for constituting a database (BDT) of data representing a geographically resolved characterization of the electromagnetic field, called the electromagnetic background, which reigns in a plurality of geographical areas, called meshes (m1, m2, m3), at within a given territory, and which is produced by a plurality of functionally distinct infrastructure networks (R1, R2, RW) each comprising a plurality of electromagnetic emission sources (A1a, A1b, Aga, A2b) arranged to communicate by radio frequencies with a plurality of portable computer terminals (T1, T2, T3), each (A1b) of said sources covering an emission area (10b) which forms only a portion of said territory and includes one or more (m2, m3) of said mesh, said method comprising the steps of: receiving (221) by at least one server (121) of digital data forming a sampling (T21) covering said territory and comp providing a plurality of measurement sets (3111, 3112, 3113, 3123, J233) from a plurality of said portable computer terminals (T1, T2, T3), each set of measurements (3113) being received from a terminal ( T1) within said plurality of terminals and comprising at least: o monosource received power data (D31, D32) representing, at a measurement position (p3) and at a measurement instant, a quantitative evaluation of the electromagnetic power (a power or intensity value, partial or total) which is received by said terminal T1 from at least one transmission source (A1b) operatively accessible by said terminal, o an identification data of said source (A1b) and o a geographical datum representing the geographical position (p3) of said terminal (T1) at said measurement instant; - Performing a preparation process (223) within the data of said sampling (T21), so as to provide, for each mesh (m3) and each source (A1b) covering said mesh, a value representative of the total monosource power (S32) received within said mesh since said source over all of its diffusion capacity, said preparation treatment comprising, for each mesh (m3) and each source (A1b) covering said mesh: o an operation classification system (2231a) of unit measurement sets (J113, J123) made in said mesh and for said source so as to provide a distribution of said sets according to their received power value (D31), thus constituting a sample of analyzing for said source covering said mesh, o a step of selecting a subgroup (332) of sets of 10 measurements, within said analysis sample, so as to discriminate between measurements r representing a subgroup (332) of measurement sets relevant to said mesh, and o a synthesis processing (2232) of said relevant values from said received power data (D31) so as to providing a representative value (S31, S32) of the power received within said mesh from said source; - performing a combination processing comprising, for each cell (m3), a cumulative calculation (225) of the contributions of said sources 20 to provide a mesh intensity data (E5) representing the intensity of the total electromagnetic field produced by said plurality of sources (A1b, A2b) and prevailing in said cell, said cumulative calculation being made from a plurality of values representing total monosource power (S32, S33) from a plurality of sources (A1b, A2b) 25 covering said mesh and belonging to a plurality of networks (R1, R2), thereby achieving an accumulation of the contributions of the different networks (R1, R2) in the same mesh (m3) and for a determined period; and - constructing (227) and storing (228) an electromagnetic background (BDT) geographic database representing the intensity of the electromagnetic field generated by all of said sources and prevailing in a plurality of meshes. 2. Method according to the preceding claim, characterized in that the monosource received power data, which is included in one or more of the unit measurement sets (J113) received by the server (121) from the data source. at least one terminal (T1) corresponding to a multichannel transmission source (A1b), represents a so-called partial monosource (D31) received power value (typically one-channel) which constitutes a quantitative evaluation of the electromagnetic power received by 5 said terminal, from at least one multi-channel transmission source, on one or more frequency channels forming only a portion of the transmission channels of said transmission source; and in that the preparation process (223) further comprises an extrapolation calculation (2233) providing the total monosource received power representative value (S32) from said partial monosource received power data (D31) and a data item (BDS) representing an extrapolation parameter dependent on said transmission source (A1b). 15 3. Method according to any one of the preceding claims, characterized in that the monosource received power data included in one or more of the unit measurement sets (J113) received by the server (121) from at least one terminal (T1) and corresponding to a multi-channel transmission source (A1b), constitutes or corresponds to the total monosource received power data (D32). 4. Method according to any one of the preceding claims, characterized in that within the preparation treatment (223), for the same mesh and for the same source: the statistical classification treatment (2231a) applied to a plurality (330) of unit measurement datasets (J113, J123) from the same mesh (m3) and bearing the same source (A1b), includes a distribution according to the value of their monosource received power data (D31 , D32), and the selection operation (2231b) of the subgroup (332) of said unit measurement data sets comprises a selection of the data sets having the highest values for said monosource received power data ( D31, D32). 35 5. Method according to any one of the preceding claims, characterized in that it comprises a conversion operation (2234) and / or display (230, 241) of a representative value of received power ( S31, S32) in at least one mesh (m3) from one or more sources (A1b, A2b, W3), in the form of data (S33, E5) representing an intensity of the electromagnetic field created by said one or more sources and prevailing in said mesh. 6. Method according to any one of the preceding claims, characterized in that it further comprises a step of publication (228), 10 through a computer network (131, 141, 142), geographical data (BDT ) arranged to display a cartographic representation (1410) on display means, said cartographic representation including, in one or more geographical positions (p1, p2, p3, p3 ', p3 "), the mesh intensity (E5) calculated and / or stored for the meshes (m1, m2, m3) including said one or more geographical positions. 7. Method according to any one of the preceding claims, characterized in that it furthermore comprises a step of sending (229) to at least one terminal (T1) having provided at least one set of unitary measurements (3111, 3112a, 3112b, 3113), from at least one application publisher (131, SPA), at least one local exposure data (A113) representing the calculated mesh intensity data (E5) and / or stored for one or more meshes (m3), which one or more meshes 25 include the geographical position (p3) of said terminal at said instant or have a determined geographical relation with said geographical position. 8. Digital data processing method (TL), implemented by a portable computer terminal (T1, T2, T3) communicating or able to communicate by radio frequencies with at least one infrastructure network (R1, R2, RW) comprising a plurality of electromagnetic sources (A1a, A1b, Aga, A2b), characterized in that it comprises the following steps: - reading (211) of digital data forming a set of measurements (3113) comprising at least on the one hand (2111) a partial monosource received power datum (D31) representing, at a time of measurement, a quantitative evaluation of the electromagnetic power received by said terminal from at least one so-called transmission source (A1b) (or only one) operatively accessible by said terminal, on one or more frequency channels forming only a part of the transmission channels of said transmission source, and 10 o on the other hand (213) a geographical datum rep resenting the geographical position (p3) of said terminal at the instant of measurement; - sending (214) said set of measurements (J113) to a server (121, SC) centralizing (221) a plurality of unit sets of measurement (3111, 3112a, 3112b, J113, J123, J233) of the same type from a plurality of terminals (T1, T2, T3) for carrying out a method according to any one of claims 1 to 7. 9. Digital data processing method, implemented by a portable computer terminal (T1) communicating or able to communicate by radio frequency with at least one infrastructure network (R1, R2, RW) comprising a plurality of electromagnetic sources, characterized in that it comprises the following steps: - reading (211) of digital data comprising at least: o on the one hand (2111) a partial monosource received power data (D31) representing, at a time of measurement, a quantitative evaluation of the electromagnetic power received by said terminal from at least one so-called transmission source (A1b) (or only one) accessible functionally by said terminal, on one or more frequency channels forming only a portion of the channels transmitting said source of emission, and o on the other hand (212) a geographical datum representing the geographical position (p3) of said terminal at said instant of measurement e; extrapolation calculation (213) providing, from said partial monosource received power data item (D31) and data item (BDS) representing an extrapolation parameter dependent on said transmission source ( A1b), a total monosource received power data (D32) representing a quantitative evaluation of a cumulative total electromagnetic power received by said terminal from said emission source, at the measurement instant and at said geographical position ( p3) of the terminal, on all of the transmission channels of said transmission source (A1b); sending (214) digital data forming a set of measurements (J113), comprising at least said total monosource received power (D32) and said geographic datum (p3), to a server (121, SC) centralizing (221) a plurality of unit measurement sets (3111, 3112a, 3112b, J113, J123, J233) of the same type from a plurality of terminals (T1, T2, T3) for carrying out a method according to any one of the claims 1 to 7 and according to claim 3. 15 10. Method according to any one of claims 8 to 9, characterized in that the monosource received power data (D31, DW3) is obtained (2111) by reading or calculation from one or more quantitative data provided by the less a radio frequency communication management software agent (2101) included in at least one operating system software of said terminal (T1). 11. Method according to any one of claims 8 to 10, characterized in that it further comprises the following steps: reception (241), from a publication server (131, SPA), of at least one data item of local exposure (A113) representing or including the mesh intensity data (E5) calculated and / or stored for one or more meshes (m3), which one or more meshes (m3) include the geographical position (p3) of said terminal audit instant or have a specific geographical relationship with said position; and 30 - displaying (242) or storing said local exposure data (A113) by said terminal (T1). A method as claimed in any one of the preceding claims, characterized in that the infrastructure networks (10) comprise a plurality of digital mobile telephone networks (R1, R2). 3038168 -46- 13. Method according to the preceding claim, characterized in that the partial monosource received power data (D31, S31) represents the power level received on a signaling channel used by a terminal (T1) to communicate with the sources of data. transmission (A1a, A1b) of the network (R1) outside the telephone communications of said terminal. A method according to any one of claims 12 to 13, characterized in that the unit measurement set (3113) sent (214) by one or more terminals (T1) further comprises one or more monosource received power data. complementary, each representing a received power (DW3) by said terminal (T1) from at least one source (W3) of computer communication wireless network, associated with an identification data of said source.