CN112947451B - Intelligent community personnel supervision system based on wireless communication positioning - Google Patents
Intelligent community personnel supervision system based on wireless communication positioning Download PDFInfo
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Abstract
The utility model discloses a personnel supervisory systems in wisdom community based on wireless communication location, this personnel supervisory systems in wisdom community includes wireless orientation module, position prediction module, position mapping module, environmental conditioning module and alarm module: the wireless positioning module is used for determining the position of the terminal based on wireless communication positioning to obtain a positioning result; the position prediction module is used for predicting a terminal travel route based on a positioning result of the terminal; the position mapping module is used for determining a target position according to the terminal travel route; the alarm module is used for triggering alarm if the boundary distance between the positioning result of the terminal and a preset alarm area is smaller than a preset alarm threshold value; the environment adjusting module is used for determining a target environment adjusting object according to the target position and triggering an environment adjusting function of the target environment adjusting object. By utilizing the embodiment of the disclosure, the environment can be adjusted in advance, so that a user can directly perceive a more appropriate environment after reaching a target position.
Description
Technical Field
The utility model relates to an intelligence thing allies oneself with the field, especially relates to wisdom community personnel supervisory systems based on wireless communication location.
Background
Along with the development of science and technology, carry out the commodity circulation based on wireless communication location and trail, the relevant technique of personage's location discernment and scene supervision has made sufficient progress and quick development, based on wireless location technique, can realize accurate community supervision to and full-automatic community environmental conditioning, and maintain, but present relevant technique is less to the scheme research that combines together wireless location technique and community supervision, can't satisfy people to the demand of wisdom community.
Disclosure of Invention
The present disclosure provides a smart community personnel supervisory system based on wireless communication positioning. The technical scheme of the disclosure is as follows:
personnel supervisory systems in wisdom community based on wireless communication location, wisdom community personnel supervisory systems includes wireless orientation module, position prediction module, position mapping module, environmental conditioning module and alarm module:
the wireless positioning module is used for determining the position of the terminal based on wireless communication positioning to obtain a positioning result;
the position prediction module is used for predicting a terminal travel route based on a positioning result of the terminal;
the position mapping module is used for determining a target position according to the terminal travel route;
the alarm module is used for triggering alarm if the boundary distance between the positioning result of the terminal and a preset alarm area is smaller than a preset alarm threshold value;
and the environment adjusting module is used for determining a target environment adjusting object according to the target position and triggering an environment adjusting function of the target environment adjusting object.
Preferably, the wireless location module is configured to perform the following actions:
acquiring a current wireless communication portrait reported by a terminal, wherein the current wireless communication portrait is composed of at least one wireless signal item, and the wireless signal item comprises a wireless signal source identifier and wireless signal source intensity;
acquiring a pre-stored positioning mapping data set, wherein each positioning mapping data in the positioning mapping data set represents a corresponding relation between a wireless communication portrait and a positioning portrait;
calculating the similarity of the wireless communication portrait of each positioning mapping data in the positioning mapping data set and the current wireless communication portrait;
and determining the positioning corresponding to the wireless communication image with the highest similarity value as the positioning result of the terminal.
Preferably, according to the formula ∑ α i △ i Calculating the similarity between the wireless communication portrait and the current wireless communication portrait, i is a sort number obtained by arranging the wireless signal source identifiers in the wireless communication portrait and the current wireless communication portrait according to the ascending order of the corresponding intensity difference, and alpha i Is a weight corresponding to the ranking number, which can be set in a preset similarity calculation strategy, Δ i The similarity value is a similarity value corresponding to the intensity difference, and the corresponding relationship between the similarity value and the intensity difference can also be obtained by calculation in the similarity calculation strategy.
Preferably, the location mapping module is configured to perform the following actions:
sequentially acquiring a positioning result sequence output by the wireless positioning module;
judging whether the moving direction of the positioning result sequence is the same as the current moving direction, if so, inputting the current moving direction into the position mapping module, and if not, determining the moving direction corresponding to the latest acquired positioning result as a new current moving direction, and repeatedly executing the following steps: and sequentially acquiring a positioning result sequence output by the wireless positioning module.
Preferably, the location mapping module is configured to perform the following actions:
acquiring the position of the nearest one controlled by an environment adjusting module in the current moving direction, and taking the position as a target position;
and if the distance between the target position and the positioning result of the current terminal is smaller than a preset threshold value, sending the target position to an environment adjusting module.
Preferably, the environment adjusting function of the environment adjusting object is realized through an intelligent photosensitive adjusting subsystem, an intelligent temperature adjusting subsystem and an intelligent humidity adjusting subsystem.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
according to the embodiment of the invention, the intelligent community personnel supervision system based on wireless communication positioning can be used for positioning the terminal held by the user based on wireless communication data in a full-automatic manner, predicting the driving route and the target position which the user may arrive at, and adjusting the environment of the target position in advance, so that the user can directly perceive a proper environment after the user arrives at the target position, the user experience is improved, an alarm can be triggered when the user approaches an alarm area, and the safety of the user is protected. The granularity of environment regulation is finer, the topology of the whole monitoring system can be in a healthier state for a long time, and the stability is better.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a schematic diagram illustrating a system for intelligent community personnel surveillance based on wireless communication positioning in accordance with an exemplary embodiment.
FIG. 2 is a flow diagram illustrating a determination of a location of a terminal based on wireless communication positioning, resulting in a positioning result, according to an example embodiment;
FIG. 3 is a flowchart illustrating an action performed by a location mapping module in accordance with an exemplary embodiment;
FIG. 4 is a flowchart illustrating the operation of a location mapping module according to an exemplary embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Referring to fig. 1, fig. 1 illustrates a smart community personnel supervision system based on wireless communication positioning according to an exemplary embodiment, as shown in fig. 1, the smart community personnel supervision system includes a wireless positioning module, a position prediction module, a position mapping module, an environment adjustment module, and an alarm module.
The wireless positioning module is used for determining the position of the terminal based on wireless communication positioning to obtain a positioning result.
And the position prediction module is used for predicting the terminal travel route based on the positioning result of the terminal.
And the position mapping module is used for determining a target position according to the terminal travel route.
And the alarm module is used for triggering alarm if the boundary distance between the positioning result of the terminal and a preset alarm area is smaller than a preset alarm threshold value.
And the environment adjusting module is used for determining a target environment adjusting object according to the target position and triggering an environment adjusting function of the target environment adjusting object.
Specifically, as shown in fig. 2, the wireless positioning module obtains a positioning result by performing the following operations:
and T10, acquiring a current wireless communication portrait reported by the terminal, wherein the current wireless communication portrait is composed of at least one wireless signal item, and the wireless signal item comprises a wireless signal source identifier and wireless signal source strength.
The wireless signal source in the embodiment of the invention can be a communication base station or a wireless communication hotspot.
And T20, acquiring a pre-stored positioning mapping data set, wherein each positioning mapping data in the positioning mapping data set represents the corresponding relation between one wireless communication portrait and one positioning.
Each wireless communication representation in step T20 is also comprised of at least one wireless signal item including a wireless signal source identification and a wireless signal source strength.
And T30, calculating the similarity of the wireless communication portrait of each positioning mapping data in the positioning mapping data set and the current wireless communication portrait.
In a possible embodiment, the formula Σ α may be used i △ i Calculating the similarity between the wireless communication portrait and the current wireless communication portrait, wherein i is a sort serial number obtained by arranging the wireless signal source identifiers in the wireless communication portrait and the current wireless communication portrait according to the corresponding strength difference ascending order, and alpha i Is a weight corresponding to the ranking number, which can be set in a preset similarity calculation strategy, Δ i The similarity value is a similarity value corresponding to the intensity difference, and the corresponding relationship between the similarity value and the intensity difference can also be obtained by calculation in the similarity calculation strategy.
Illustratively, if signal source A is present in the wireless communication representation at an intensity of-20 dbm, and signal source A is also present in the current wireless communication representation at an intensity of-300 dbm, then the select signal source identifies a signal pair intensity difference of | (-20) - (-50) | ═ 30 dbm.
If the wireless communication image and the current wireless communication image have signal sources A, B and C and the intensity difference is 30,26 and 10 in sequence, the wireless signal source identifiers in the wireless communication image and the current wireless communication image are arranged according to the corresponding intensity difference in ascending order to obtain the sequencing results of 10,26 and 30.
In the similarity calculation strategy, the higher the ranking sequence number is, the higher the weight is; the smaller the intensity difference, the higher the similarity value.
And T40, determining the positioning corresponding to the wireless communication image with the highest similarity value as the positioning result of the terminal.
In an exemplary embodiment, the positioning data in the positioning mapping data set may further represent a correspondence between an identifier of a wireless signal source and a moving direction, and accordingly, the moving direction corresponding to the wireless communication image with the highest similarity value may be further used as the current moving direction of the terminal.
Illustratively, as shown in fig. 3, the position mapping module may further perform the following operations:
and T100, sequentially acquiring a positioning result sequence output by the wireless positioning module.
And T200, judging whether the moving direction of the positioning result sequence is the same as the current moving direction, if so, inputting the current moving direction into the position mapping module, otherwise, determining the moving direction corresponding to the newly acquired positioning result as a new current moving direction, and repeatedly executing the step T100.
Illustratively, as shown in fig. 4, the location mapping module may perform the following operations:
and T101, acquiring the position controlled by the environment adjusting module at the nearest position in the current moving direction, and taking the position as a target position.
Specifically, in the embodiment of the present invention, the target position is a position controlled by the environment adjustment module, the target position corresponds to an environment adjustment object (target environment adjustment object), and the environment adjustment object may be a certain residence, a certain building or a certain room.
And T102, if the distance between the target position and the positioning result of the current terminal is smaller than a preset threshold value, sending the target position to an environment adjusting module.
The environment adjusting function of the environment adjusting object in the embodiment of the invention can be realized by an intelligent photosensitive adjusting subsystem, an intelligent temperature adjusting subsystem and an intelligent humidity adjusting subsystem.
Illustratively, the intelligent photosensitive regulation subsystem comprises a plurality of intelligent light collectors and an intelligent photosensitive controller, the intelligent temperature regulation subsystem comprises a plurality of intelligent temperature measuring instruments and an intelligent temperature controller, the intelligent humidity regulation subsystem comprises a plurality of intelligent humidity measuring instruments and an intelligent humidity controller, and the intelligent photosensitive controller, the intelligent temperature controller and the intelligent humidity controller are all in communication connection with the master controller.
The master controller is communicated with the environment adjusting module and is used for controlling the on-off of the intelligent photosensitive controller, the intelligent temperature controller and the intelligent humidity controller and adjusting the photosensitive control strategy of the intelligent photosensitive controller, the temperature adjusting control strategy of the intelligent temperature controller and the humidity adjusting control strategy in the intelligent humidity controller.
The environment regulation object comprises a plurality of LED lamps, the LED lamps are controlled by the intelligent photosensitive controller, the environment regulation object further comprises a plurality of split air conditioners, and the split air conditioners are controlled by the intelligent temperature controller and the intelligent humidity controller.
The photosensitive control strategy of the intelligent photosensitive controller, the temperature regulation control strategy of the intelligent temperature controller and the humidity regulation control strategy in the intelligent humidity controller in the embodiment of the invention can be based on the same inventive concept, and the embodiment of the invention is exemplified by an intelligent photosensitive regulation subsystem.
As shown in fig. 2, the photosensitive control strategy can be implemented by the following method:
s101, responding to a system topology reconstruction instruction, acquiring a preset reconstruction parameter, and sending the reconstruction parameter to each intelligent optical collector.
The system topology reconfiguration instruction can be automatically triggered at preset time intervals, and the reconfiguration parameter can be set according to actual requirements, is a constant, and is not limited herein.
S102, for each intelligent light collector, randomly acquiring a reconstruction participation code, if the reconstruction participation code is larger than the reconstruction parameter, determining the intelligent light collector as a first intelligent light collector, and acquiring the self residual electric quantity of other intelligent light collectors in a corresponding first effective reconstruction area by the first intelligent light collector to obtain corresponding electric quantity reference records; the first effective reconstruction region is a circular region which is determined by presetting a first communication radius and takes the first intelligent light collector as a center.
The first communication radius may be set according to a requirement.
Specifically, in order to ensure the validity of the reconstruction and the reasonableness of the topology obtained by the reconstruction, in one embodiment, the acquisition manner of the reconstruction participation code is set as:
if the self residual electric quantity of the intelligent light collector is larger than a preset electric quantity threshold value, randomly acquiring a reconstruction participation code between S1 and S2; and if the self residual electric quantity of the intelligent light collector is not more than the preset electric quantity threshold value, randomly acquiring a reconstruction participation code between S0 and S2, wherein S0 is greater than S1, ST is less than S2, S0, S1 and S2 are preset constants, and ST is a reconstruction parameter. The acquisition mode of the reconstruction participation code can ensure that the intelligent light collector with higher self residual electric quantity has higher probability to be determined as the first intelligent light collector, and the success rate of topology reconstruction is improved.
And S103, determining the type of each intelligent light collector according to the determined first intelligent light collector.
Specifically, the determining the type of each intelligent light collector according to the determined first intelligent light collector, as shown in fig. 3, includes:
and S1031, deleting other intelligent light collectors of which the self residual electric quantity is less than the self residual electric quantity of the first intelligent light collector in the corresponding electric quantity reference record of any first intelligent light collector to obtain an effective electric quantity reference record corresponding to the first intelligent light collector, wherein the self residual electric quantity of each other intelligent light collector in the effective electric quantity reference record is more than or equal to the self residual electric quantity of the first intelligent light collector.
S1032, for any first intelligent light collector, if the corresponding effective electric quantity reference record of the first intelligent light collector is empty, determining the type of the first intelligent light collector as a fusion class, wherein the intelligent light collector determined as the fusion class is used for executing an optical data acquisition task and an optical data fusion task.
S1033, for any first intelligent light collector, if the corresponding effective electric quantity reference record of the first intelligent light collector is not empty and other intelligent light collectors which are already set to be in a fusion class exist in the effective electric quantity meter, determining the first intelligent light collector to be in a single class, wherein the intelligent light collector determined to be in the single class is used for executing a light data collection task.
S1034, for any first intelligent light collector, if the corresponding effective electric quantity reference record is not empty and other intelligent light collectors which are set to be in a fusion class do not exist in the effective electric quantity meter, determining other intelligent light collectors with the highest self residual electric quantity in the effective electric quantity reference record as the fusion class, and determining the first intelligent light collector as a single class.
S1035, any one intelligent light collector which is not set as a fusion class is determined as a single class.
And S104, constructing an intelligent optical network topology according to the type of each intelligent optical collector.
The intelligent light collectors determined to be of the fusion class may be referred to as a first data node and the intelligent light collectors determined to be of the single class may be referred to as a second data node in the embodiments of the present disclosure.
As shown in fig. 4, the building of the intelligent optical network topology according to the type of each intelligent light collector includes:
s1041, for each first data node, acquiring the identification, the self residual electric quantity, the distance from the intelligent photosensitive controller and the distance from the intelligent photosensitive controller to other first data nodes in a corresponding second effective reconstruction region; the second effective reconstruction area is a circular area determined by presetting a second communication radius by taking the first data node as a circle center.
The second communication radius may be set as desired, but is larger than the first communication radius.
And S1042, obtaining the communication path of each first data node according to the obtaining result of each first data node.
Specifically, for any first data node, it is derived based on a formula
The next first data node, thereby generating a communication path.
Wherein N is i Identifying a next first data node for the first data node i, the controller representing the intelligent photosensitive controller, j representing a certain first data node, D representing a second communication radius, D (i, controller) representing a communication distance of the first data node i from the intelligent photosensitive controller, A representing a set of the first data nodes, w representing a weight factor between 0 and 1, E (k) representing self-remaining weightAnd (4) surplus electricity quantity.
And S1043, for each second data node, transmitting the optical data obtained by executing the optical data acquisition task to the first data node closest to each second data node.
Specifically, each second data node may execute the optical data acquisition task in response to an optical data acquisition task issuing instruction of the intelligent photosensitive controller, and in one embodiment, the optical data acquisition may be performed according to a preset frequency, and an acquisition result may be transmitted to the first data node closest to the first data node.
And S1044, for each first data node, generating fusion data according to the acquired optical data, and transmitting the fusion data to the intelligent photosensitive controller according to the communication path.
Specifically, each first data node may execute the optical data collection task in response to an optical data collection task issuing instruction of the intelligent photosensitive controller, and in one embodiment, may perform optical data collection according to a preset frequency, and transmit a collection result to the intelligent photosensitive controller according to the communication path.
In the embodiment of the invention, the first data node performs fusion processing on the optical data transmitted to the first data node, and transmits a fusion result to the intelligent photosensitive controller according to the communication path.
In particular, each set of light data may be identified as a light data vector l i′ Then the light data to be fused can be represented as L ═ { L ═ L i′ 1,2, … …, m }, the method for obtaining the fused data includes:
s1, obtaining a reference value to be fused, wherein the reference value to be fused is recorded in the photosensitive control strategy.
S2, using formula
And carrying out data analysis for the minimization target to obtain a data analysis result.
Wherein c is the reference value to be fused, u i′k Characterization l i′ For class ω k Degree of membership of r kj′ Characterization l j′ For class ω k Degree of contribution of u i′j′ Represents l i′ And l j′ The dissimilarity between the two types of data vectors can be determined according to the prior art, and is not described herein again, where m is the number of the light data vectors, and γ, μ are preset constant values recorded in the light sensing control strategy.
Wherein u is i′k And r kj′ Can be represented by
The iterative calculation is obtained, and is not described herein.
And determining the coordinates of the center position of each category and the light data value of the center position according to the data analysis result, and taking the coordinates of the center position of each category and the light data value of the center position as fusion data.
Each light data vector l in embodiments of the present invention i′ The light collector identifiers are provided with corresponding light collector identifiers, and each intelligent light collector identifier uniquely corresponds to the position information of each intelligent light collector, so that the coordinates of the center position of each category in the data analysis result obtained by performing data analysis on the light data vector can be determined, and after a clear data analysis result is obtained, the method for determining the coordinates of the center position of each category in the data analysis result can refer to the prior art, and is not repeated herein.
In one possible embodiment, only the fused data may be transmitted to the intelligent light sensing controller, so that the amount of transmitted data may be saved.
In another possible embodiment, the original light data may also be transmitted to the light sensing controller, so that the light sensing controller uploads the light data to the cloud storage node for storage. The light data in the embodiments of the present disclosure may be light intensity data.
Specifically, a first mapping value of each cloud storage node may be obtained, and the cloud nodes are configured on a preset virtual storage ring according to the first mapping value. The virtual storage ring is a virtual logic interval. And the basic cloud storage node is positioned at a preset starting position of the virtual storage ring. For each of the other cloud storage nodes, the first mapping value may be obtained by a hashing algorithm according to the relative topological position of the cloud storage node. The relative topological position can be represented by the hop count between the cloud storage node and the basic cloud storage node, and when the cloud storage node and the basic cloud storage node are positioned in the same rack, the distance between the cloud storage node and the basic cloud storage node is 2; when the machine room is positioned on adjacent racks in the same machine room, the distance between the adjacent racks is 4 after 2-stage exchange; and it is located in a different machine room, and passes through 3-stage switching, and the distance between them is 6.
And acquiring a second mapping value of the original optical data, acquiring a first mapping value closest to the second mapping value, and storing the original optical data on a cloud storage node corresponding to the first mapping value. The second mapping value may also be a hash value. Of course, if the cloud storage node corresponding to the first mapping value closest to the second mapping value has an abnormal condition such as insufficient space, the cloud storage node is skipped over, and the next cloud storage node in the torus is used as the cloud storage node of the original optical data, and so on.
And S105, calculating the reasonable degree parameter of the intelligent optical network topology.
In one embodiment, the formula may be based on
Calculating a reasonableness parameter, wherein alpha, beta and gamma are weight parameters which can be set according to actual requirements, and p i Is the topological position of the first data node, N is the number of the first data nodes, and N is the total number of the first data node and the second data node, wherein
In the embodiment of the present invention, the topological position represents the position of the first data node in the topology formed in step S104, and is not particularly limited in the embodiment of the present invention.
And S106, if the reasonability parameter is smaller than a preset threshold value, the step S102 is repeatedly executed.
In one embodiment, in order to enable the intelligent photosensitive controller to perform photosensitive adjustment rapidly, the intelligent photosensitive controller may perform photosensitive adjustment according to the fusion data, and the photosensitive adjustment strategy is as follows:
and continuously acquiring M times of fusion data to obtain the moving trend of each category center.
For any class:
and if the category center moves remarkably, correspondingly adjusting the brightness of the light source according to the category center moving trend. The "significant" determination may be made using existing techniques and will not be described in detail herein.
And if the class center does not move significantly, but the brightness average value is higher than a preset high value or lower than a preset low value, correspondingly adjusting the brightness of the light source.
According to the embodiment of the invention, the intelligent community personnel supervision system based on wireless communication positioning can be used for positioning the terminal held by the user based on wireless communication data in a full-automatic manner, predicting the driving route and the target position which the user may arrive at, and adjusting the environment of the target position in advance, so that the user can directly perceive a proper environment after the user arrives at the target position, the user experience is improved, an alarm can be triggered when the user approaches an alarm area, and the safety of the user is protected. The granularity of environment adjustment is finer, the topology of the whole monitoring system can be in a healthy state for a long time, and the stability is better.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (6)
1. Wisdom community personnel supervisory systems based on radio communication location, its characterized in that, wisdom community personnel supervisory systems includes wireless orientation module, position prediction module, position mapping module, environmental conditioning module and alarm module:
the wireless positioning module is used for positioning and determining the position of the terminal based on wireless communication to obtain a positioning result;
the position prediction module is used for predicting a terminal travel route based on a positioning result of the terminal;
the position mapping module is used for determining a target position according to the terminal travel route;
the alarm module is used for triggering alarm if the boundary distance between the positioning result of the terminal and a preset alarm area is smaller than a preset alarm threshold value;
the environment adjusting module is used for determining a target environment adjusting object according to the target position and triggering an environment adjusting function of the target environment adjusting object;
the environment adjusting function of the environment adjusting object is realized through an intelligent photosensitive adjusting subsystem, an intelligent temperature adjusting subsystem and an intelligent humidity adjusting subsystem;
the intelligent photosensitive regulator subsystem comprises a plurality of intelligent light collectors and an intelligent photosensitive controller, the intelligent temperature regulator subsystem comprises a plurality of intelligent thermometers and an intelligent temperature controller, the intelligent humidity regulator subsystem comprises a plurality of intelligent moisture detectors and an intelligent humidity controller, and the intelligent photosensitive controller, the intelligent temperature controller and the intelligent humidity controller are all in communication connection with the master controller;
the master controller is communicated with the environment adjusting module and is used for controlling the on-off of the intelligent photosensitive controller, the intelligent temperature controller and the intelligent humidity controller and adjusting a photosensitive control strategy of the intelligent photosensitive controller, a temperature adjusting control strategy of the intelligent temperature controller and a humidity adjusting control strategy in the intelligent humidity controller;
the environment regulation object comprises a plurality of LED lamps, the LED lamps are controlled by the intelligent photosensitive controller, the environment regulation object also comprises a plurality of split air conditioners, and the split air conditioners are controlled by the intelligent temperature controller and the intelligent humidity controller;
the photosensitive control strategy of the intelligent photosensitive controller, the temperature regulation control strategy of the intelligent temperature controller and the humidity regulation control strategy in the intelligent humidity controller are based on the same inventive concept, and the photosensitive control strategy is implemented by the following method:
s101, responding to a system topology reconstruction instruction, acquiring a preset reconstruction parameter, and sending the reconstruction parameter to each intelligent light collector;
s102, for each intelligent light collector, randomly acquiring a reconstruction participation code, if the reconstruction participation code is larger than the reconstruction parameter, determining the intelligent light collector as a first intelligent light collector, and acquiring the self residual electric quantity of other intelligent light collectors in a corresponding first effective reconstruction area by the first intelligent light collector to obtain corresponding electric quantity reference records; the first effective reconstruction region is a circular region which is determined by presetting a first communication radius by taking the first intelligent light collector as a center; the acquisition mode of the reconstruction participation code is set as follows:
if the self residual electric quantity of the intelligent light collector is larger than a preset electric quantity threshold value, randomly acquiring a reconstruction participation code between S1 and S2; if the self residual electric quantity of the intelligent light collector is not larger than a preset electric quantity threshold value, randomly acquiring a reconstruction participation code between S0 and S2, wherein S0 is greater than S1, ST is less than S2, S0, S1 and S2 are preset constants, and ST is a reconstruction parameter, and the acquisition mode of the reconstruction participation code enables the intelligent light collector with higher self residual electric quantity to have higher probability to be determined as a first intelligent light collector, so that the success rate of topology reconstruction is improved;
determining the type of each intelligent light collector according to the determined first intelligent light collector, wherein the method comprises the following steps:
s1031, deleting other intelligent light collectors of which the self residual electric quantity is smaller than the self residual electric quantity of the first intelligent light collector in the corresponding electric quantity reference record of any first intelligent light collector to obtain an effective electric quantity reference record corresponding to the first intelligent light collector, wherein the self residual electric quantity of each other intelligent light collector in the effective electric quantity reference record is larger than or equal to the self residual electric quantity of the first intelligent light collector;
s1032, for any first intelligent light collector, if the corresponding effective electric quantity reference record of the first intelligent light collector is empty, determining the type of the first intelligent light collector as a fusion type, wherein the intelligent light collector determined as the fusion type is used for executing a light data acquisition task and a light data fusion task;
s1033, for any first intelligent light collector, if the corresponding effective electric quantity reference record of the first intelligent light collector is not empty and other intelligent light collectors which are already set to be in a fusion class exist in the effective electric quantity meter, determining the first intelligent light collector to be in a single class, wherein the intelligent light collector determined to be in the single class is used for executing a light data collection task;
s1034, for any first intelligent light collector, if the corresponding effective electric quantity reference record is not empty and other intelligent light collectors which are set as a fusion class do not exist in the effective electric quantity meter, determining other intelligent light collectors with the highest self residual electric quantity in the effective electric quantity reference record as the fusion class, and determining the first intelligent light collector as a single class;
s1035, determining any one intelligent light collector which is not set as a fusion type as a single type;
s104, constructing an intelligent optical network topology according to the type of each intelligent optical collector;
the intelligent light collectors determined as the fusion class are first data nodes, the intelligent light collectors determined as the single class are second data nodes, and the intelligent light network topology is constructed according to the type of each intelligent light collector and comprises the following steps:
s1041, for each first data node, acquiring the identification, the self residual electric quantity, the distance from the intelligent photosensitive controller and the distance from the intelligent photosensitive controller to other first data nodes in a corresponding second effective reconstruction region; the second effective reconstruction area is a circular area determined by presetting a second communication radius by taking the first data node as a circle center, wherein the second communication radius is set according to requirements and is larger than the first communication radius;
s1042, according to the obtaining result of each first data node, obtaining a communication path of each first data node;
in particular, for any first data node, based on a formula
Obtaining a next first data node of the communication path, thereby generating a communication path;
wherein, N i Identifying a next first data node for the first data node i, wherein a controller represents an intelligent photosensitive controller, j represents a certain first data node, D represents a second communication radius, D (i, controller) represents the communication distance between the first data node i and the intelligent photosensitive controller, A represents a set of the first data nodes, w represents a weight factor between 0 and 1, and E (k) represents the self residual capacity;
s1043, for each second data node, transmitting optical data obtained by executing an optical data acquisition task to a first data node closest to each second data node;
s1044, for each first data node, generating fusion data according to the acquired optical data, and transmitting the fusion data to the intelligent photosensitive controller according to the communication path;
the first data node performs fusion processing on the optical data transmitted to the first data node, and transmits a fusion result to the intelligent photosensitive controller according to the communication path, wherein each group of optical data is marked as an optical data vector l i′ Then the light data to be fused is represented as L ═ { L ═ L i′ If | i ═ 1,2, … …, m }, the method for obtaining the fusion data includes:
s1, acquiring a reference value to be fused, wherein the reference value to be fused is recorded in the light sensing control strategy;
s2. using formula
Performing data analysis on the minimization target to obtain a data analysis result;
wherein c is the reference value to be fused, u i′k Characterization l i′ For class ω k Degree of membership of r kj′ Characterization l j′ For class ω k Degree of contribution of u i′j′ Is represented by i′ And l j′ M is the number of light data vectors, and gamma and mu are preset constant values recorded in the photosensitive control strategy;
wherein u is i′k And r kj′ By the formula
Iterative computation is carried out to obtain;
determining the coordinates of the center positions of all the categories and the light data values of the center positions according to the data analysis results, and taking the coordinates of the center positions of all the categories and the light data values of the center positions as fusion data; each light data vector l i′ Each with its corresponding light collector identification, each intelligent light collector identification uniquely corresponding to the position information of said each intelligent light collector, so determining the position of said light collectorThe data vector carries out data analysis to obtain coordinates of the center position of each category in a data analysis result;
s105, calculating a reasonability parameter of the intelligent optical network topology;
according to the formula
Calculating a reasonable degree parameter, wherein alpha, beta and gamma are weight parameters and are set according to actual requirements, and p i Is the topological position of the first data node, N is the number of the first data nodes, and N is the total number of the first data node and the second data node, wherein
The topological location characterizes the location of the first data node in the topology formed in step S104;
s106, if the reasonability parameter is smaller than a preset threshold value, the step S102 is executed repeatedly;
the intelligent photosensitive controller carries out photosensitive adjustment according to the fusion data, and the photosensitive adjustment strategy is as follows:
continuously acquiring M times of fusion data to obtain the moving trend of each category center;
for any class:
if the category center moves remarkably, correspondingly adjusting the brightness of the light source according to the category center moving trend; and if the class center does not move significantly, but the brightness average value is higher than a preset high value or lower than a preset low value, correspondingly adjusting the brightness of the light source.
2. The system of claim 1, wherein the wireless location module is configured to perform the following actions:
acquiring a current wireless communication portrait reported by a terminal, wherein the current wireless communication portrait is composed of at least one wireless signal item, and the wireless signal item comprises a wireless signal source identifier and wireless signal source intensity;
acquiring a pre-stored positioning mapping data set, wherein each positioning mapping data in the positioning mapping data set represents a corresponding relation between a wireless communication portrait and a positioning portrait;
calculating a similarity of the wireless communication representation of each positioning mapping data in the positioning mapping data set to the current wireless communication representation;
and determining the positioning corresponding to the wireless communication image with the highest similarity value as the positioning result of the terminal.
3. The system of claim 2, wherein the system is based on formula ∑ α i Δ i Calculating the similarity between the wireless communication portrait and the current wireless communication portrait, wherein i is a sort serial number obtained by arranging the wireless signal source identifiers in the wireless communication portrait and the current wireless communication portrait according to the corresponding strength difference ascending order, and alpha i Is a weight corresponding to the ranking number, set in a preset similarity calculation policy, Δ i And the similarity value is a similarity value corresponding to the intensity difference, and the corresponding relation between the similarity value and the intensity difference is also calculated in the similarity calculation strategy.
4. The system of claim 3, wherein the location mapping module is configured to perform the following actions:
sequentially acquiring a positioning result sequence output by the wireless positioning module;
judging whether the moving direction of the positioning result sequence is the same as the current moving direction, if so, inputting the current moving direction into the position mapping module, if not, determining the moving direction corresponding to the latest acquired positioning result as the new current moving direction, and repeatedly executing the steps of: and sequentially acquiring a positioning result sequence output by the wireless positioning module.
5. The system of claim 4, wherein the location mapping module is configured to perform the following actions:
acquiring the position of the nearest one controlled by an environment adjusting module in the current moving direction, and taking the position as a target position;
and if the distance between the target position and the positioning result of the current terminal is smaller than a preset threshold value, sending the target position to an environment adjusting module.
6. The intelligent community personnel supervision system based on wireless communication positioning as claimed in claim 5, wherein the environment adjusting function of the environment adjusting object is realized by an intelligent photosensitive adjusting subsystem, an intelligent temperature adjusting subsystem and an intelligent humidity adjusting subsystem.
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Denomination of invention: A Smart Community Personnel Supervision System Based on Wireless Communication Positioning Effective date of registration: 20231130 Granted publication date: 20220927 Pledgee: Industrial and Commercial Bank of China Limited Shangyu sub branch Pledgor: ZHEJIANG NATE INTELLIGENT NETWORK ENGINEERING Co.,Ltd. Registration number: Y2023980068494 |