CN116801267B - Weak current optimization deployment method combined with building functional partitions - Google Patents

Weak current optimization deployment method combined with building functional partitions Download PDF

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CN116801267B
CN116801267B CN202311074917.1A CN202311074917A CN116801267B CN 116801267 B CN116801267 B CN 116801267B CN 202311074917 A CN202311074917 A CN 202311074917A CN 116801267 B CN116801267 B CN 116801267B
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wireless access
weak current
representing
deployment
equipment
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CN116801267A (en
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王艺
史金龙
刘文峰
陈常坤
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China Chemical Transportation Construction Group Operation Management Shandong Co ltd
China National Chemical Communications Construction Group Coltd
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China Chemical Transportation Construction Group Operation Management Shandong Co ltd
China National Chemical Communications Construction Group Coltd
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Abstract

The application relates to the technical field of deployment optimization, and discloses a weak current optimization deployment method combined with building functional partitions, which comprises the following steps: constructing a wireless access equipment floor channel transmission loss model and calculating to obtain communication channel loss limit values of different functional partitions; constructing a wireless access equipment communication range coverage model, carrying out optimization solution on the model based on an objective function and model constraint, and carrying out wireless access equipment deployment on an optimal wireless access equipment deployment position sequence obtained by the solution. The application uses the communication overall coverage of the wireless local area network formed by the wireless access devices to all the weak current devices in the building as an objective function, and uses the normal communication of all the weak current devices as the constraint to carry out the optimal deployment position sequence solving, so that the communication channel loss value of the weak current devices interfered by the electromagnetic waves of the strong current devices is smaller, the coverage of the formed wireless local area network to the building is maximum, and the communication efficiency of the weak current devices is improved.

Description

Weak current optimization deployment method combined with building functional partitions
Technical Field
The application relates to the technical field of deployment optimization, in particular to a weak current optimization deployment method combined with building functional partitions.
Background
Along with the rapid development of internet technology and the gradual popularization of intelligent building construction, the office park has been brought into an informatization and intelligent management era, and meanwhile, application equipment borne by a weak current system in the office park is more diversified and complicated. The safe and stable operation of the weak current system is the basic guarantee of work scientific research development, logistics management work and daily life in an office park. In the current information age, the management mode and method of the weak current system need to be improved comprehensively. In a traditional weak current system, important equipment such as a wireless access point and the like is generally directly connected into a common power socket, and the lack of optimization processing on building functional partitions leads to the existence of a large number of redundant wireless access equipment in a partial area, and the wireless access equipment is not deployed in the partial area. Aiming at the problem, the application provides a weak current optimization deployment method combined with building functional partitions.
Disclosure of Invention
In view of this, the application provides a weak current optimization deployment method combined with building functional partitions, which aims at: 1) Measuring the communication transmission loss of the weak current equipment according to the closed condition of the area where the weak current equipment is located, the distance from the wireless access equipment and the type of the path obstacle, and constructing communication channel loss limit values of different types of weak current equipment based on the distance between the weak current equipment and the strong current equipment, wherein the closer the distance between the weak current equipment and the strong current equipment is, the larger the influence of the electromagnetic interference of the strong current equipment is, the lower the limit value is, the lower the communication transmission loss of the weak current equipment is, otherwise normal communication cannot be carried out, and the communication condition analysis of the weak current equipment is realized; 2) The method comprises the steps of taking the communication overall coverage of a wireless local area network formed by wireless access devices to all weak current devices in a building as an objective function, taking normal communication of all the weak current devices as constraint to construct a wireless access device communication range coverage model, solving the model, updating path control according to iteration directions and iteration steps of deployment positions in the model solving process, avoiding that the positions after updating are far away from the positions before updating, enabling the weak current devices to not normally operate, ensuring that each floor has enough wireless access devices, obtaining an optimal deployment position sequence of a plurality of wireless access devices, enabling the communication channel loss value of the weak current devices subjected to electromagnetic wave interference of the strong current devices to be smaller, enabling the coverage rate of the formed wireless local area network to the building to be maximum, and improving the communication efficiency of the weak current devices.
The weak current optimizing deployment method combining building functional partitions provided by the application comprises the following steps of:
s1: building models combined with functional partitions are generated, wireless access equipment floor channel transmission loss models are built, communication channel loss limiting values of different functional partitions are obtained through calculation, the wireless access equipment floor channel transmission loss models take the distance from wireless access equipment as input, and the communication channel loss values of weak current equipment as output;
s2: constructing a wireless access equipment communication range coverage model, wherein the model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss value of the wireless access equipment deployment position to weak current equipment of different functional partitions as a constraint that the communication channel loss value is lower than a limit value;
s3: optimizing and solving the coverage model of the communication range of the wireless access equipment based on the objective function and model constraint to obtain an optimal wireless access equipment deployment position sequence;
s4: and performing wireless access equipment deployment in the optimal wireless access equipment deployment position sequence.
As a further improvement of the present application:
optionally, generating a building model combined with the functional partition in the step S1 includes:
generating a building model combined with the functional partitions, wherein the building model is expressed in the form of:
wherein:
representing a set of weak devices in the h-th floor in a building model, +.>Represents +.>Weak current device->Indicating the total number of weak devices in the h floor, +.>The building system comprises a building model, a low-current device, a network device and a control system, wherein the building model is used for building, the low-current device is used for representing the floor number in the building model, and is responsible for transmitting signal information, and the low-current device type comprises camera equipment for transmitting video information, intercom equipment for transmitting voice information, various sensor equipment and the network equipment;
representing weak current device->Is described in the information data of (a);
representing weak current device->Weak current device type->M represents the total number of weak current device types;
representing weak current device->Is of the type of region>WhereinRepresenting weak current device->In open area,/->Representing weak current device->In a semi-open semi-closed area, +.>Representing weak current device->Is in a totally enclosed area;
representing weak current device->A linear distance from the nearest strong electric device; the strong electric equipment is electric equipment with the voltage reaching more than 220 volts and is used for transmitting energy;
the weak current equipment type is the function of the area where the weak current equipment is located.
Optionally, the constructing a wireless access device floor channel transmission loss model in the step S1 includes:
the method comprises the steps of constructing a wireless access equipment floor channel transmission loss model, wherein the wireless access equipment floor channel transmission loss model takes the distance from wireless access equipment as input and the communication channel loss value of weak current equipment as output, and the wireless access equipment floor channel transmission loss model is in the form of:
wherein:
representing weak current device->A communication channel loss value for a wireless access device at a location loc;
representing a region attenuation value;
representing weak current device->A channel loss factor of the passed obstacle for the straight path of the wireless access device to the location loc;
representing the channel attenuation coefficient, which is set to 0.2;
representing weak current device->A linear distance to position loc;
representing a preset distance threshold.
In the embodiment of the application, the wireless access equipment is a switch, the switch forms a wireless local area network of the building, and the weak current equipment is connected with the switch to be accessed to the wireless local area network for communication.
Optionally, the calculating the communication channel loss limit value of the different functional partitions in the step S1 includes:
calculating to obtain communication channel loss limit values of different functional partitions, wherein a calculation formula of the communication channel loss limit values of the mth functional region is as follows:
wherein:
communication channel loss limit value representing mth functional area, i.e. communication channel loss limit value of mth weak current device type of weak current device,/>
A weak current device set representing the mth weak current device type, +.>Representing weak current device set->The j-th weak current equipment is a linear distance from the nearest strong current equipment;
representing weak current device set->Total number of medium and weak current devices;
representing a preset electromagnetic interference radius of the strong electric equipment; in the embodiment of the application, when the weak current equipment isWhen the distance between the electromagnetic wave and the strong current equipment is smaller than the electromagnetic interference radius of the strong current equipment, electromagnetic waves generated by electrifying the strong current equipment can interfere the weak current equipment, so that signals are weakened.
Optionally, the constructing a wireless access device communication range coverage model in the step S2 includes:
constructing a wireless access device communication range coverage model, wherein the wireless access device communication range coverage model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss values of wireless access device deployment positions on different functional partitions as constraints, wherein the objective function of the wireless access device communication range coverage model is as follows:
wherein:
representing a control parameter, which is set to 0.01;
an exponential function that is based on a natural constant;
an objective function representing a wireless access device communication range coverage model,representing a sequence of N wireless access device deployment locations, < >>Representation->N represents the total number of wireless access devices to be deployed,/-the nth wireless access device deployment location in (a)>Representing the overall coverage rate of the formed wireless local area network to all weak current devices in the building after deployment according to the deployment position of the wireless access device;
the representation is deployed at +.>The joint perception probability of the wireless access equipment to all weak current equipment r in the building;
the representation is deployed at +.>Is a wireless access device for g-th weak current device in building>G represents the total number of weak devices in the building, < >>
The representation is deployed at +.>Wireless access device and weak current device->Is a straight line distance of (2);
representing a preset maximum perceived coverage radius;
the constraint of the wireless access equipment communication range coverage model is as follows:
wherein:
representing weak current device->Weak current device type->,/>Represent the firstA communication channel loss limit value for the seed functional region;
representing weak current device->Is a minimum communication channel loss value of (1);
representing to make weak current device +.>A wireless access device deployment location where the communication channel loss value is minimized.
Optionally, in the step S3, the optimizing and solving the coverage model of the communication range of the wireless access device based on the objective function and the model constraint includes:
and carrying out optimization solution on the communication range coverage model of the wireless access equipment based on the objective function and the model constraint, wherein the optimization solution flow is as follows:
s31: initializing and generating N wireless access device deployment position sequences conforming to model constraint, wherein the wireless access device part of h layer in buildingThe number of the deployment positions is not lower thanThe wireless access device deployment location sequence generated by the initialization +.>The method comprises the following steps:
s32: setting the current iteration number of the optimization solving algorithm as t and the maximum iteration number as Max, wherein the wireless access equipment deployment position sequence obtained by the t-th iteration isWherein the initial value of t is 0;
s33: generating an evaluation function of the wireless access device deployment location sequence based on the objective function, the evaluation function of the wireless access device deployment location sequence:
wherein the evaluation function of the wireless access device deployment location sequence is as followsThe input of the function is a wireless access equipment deployment position sequence obtained by each iteration, and the output is a corresponding evaluation function value;
the evaluation function of the deployment position of the wireless access equipment is as followsThe input of the function is the deployment position of the wireless access equipment obtained by each iteration, and the output is the corresponding evaluation function value;
s34: deploying a sequence of locations for a wireless access deviceIs a wireless access device deployment location +.>Performing iterative updating, wherein the iterative updating formula is as follows:
wherein:
representation->And->Distance in horizontal direction, +.>Representation ofAnd->Distance in the vertical direction;
to adjust parameters;
representing the iteration step length of the t+1st iteration update;
representing the iteration direction of the t+1st iteration update;
representing the position with the highest evaluation function value of the n wireless access equipment deployment position in the t iterative processes;
s35: if weak current equipment which does not meet constraint conditions does not exist after iterative updating, the position is reservedOtherwise, do not reserve position->Will->As->Obtaining a wireless access device deployment location sequence
S36: computing wireless access device deployment location sequencesIf->Greater than a preset evaluation threshold, will +.>As the optimal wireless access device deployment location sequence, otherwise let t=t+1, return to step S34.
Optionally, the step S4 performs wireless access device deployment, including:
and (3) according to the optimal wireless access equipment deployment position sequence obtained by solving in the step (S3), carrying out wireless access equipment deployment at N deployment positions in the optimal wireless access equipment deployment position sequence to form a wireless local area network in a building. In the embodiment of the application, the deployment optimization is carried out on the wireless access equipment, so that the communication channel loss value of the weak current equipment which is interfered by the electromagnetic wave of the strong current equipment is smaller, the coverage rate of the wireless local area network to the building is maximized, and the communication efficiency of the weak current equipment is improved.
In order to solve the above-described problems, the present application provides an electronic apparatus including:
a memory storing at least one instruction;
the communication interface is used for realizing the communication of the electronic equipment; a kind of electronic device with high-pressure air-conditioning system
And the processor executes the instructions stored in the memory to realize the weak current optimization deployment method combined with the building functional partition.
In order to solve the above-mentioned problems, the present application further provides a computer readable storage medium, where at least one instruction is stored, where the at least one instruction is executed by a processor in an electronic device to implement the weak current optimization deployment method in combination with building functional partitions.
Compared with the prior art, the application provides a weak current optimization deployment method combining building functional partitions, which has the following advantages:
firstly, the scheme provides a quantification method of communication channel loss of weak current equipment and a communication condition analysis method, and a wireless access equipment floor channel transmission loss model is constructed, wherein the wireless access equipment floor channel transmission loss model takes the distance from wireless access equipment as input and the communication channel loss value of the weak current equipment as output, and the wireless access equipment floor channel transmission loss model has the following form:
wherein:
representing weak current device->A communication channel loss value for a wireless access device at a location loc;
representing a region attenuation value;
representing weak current device->A channel loss factor of the passed obstacle for the straight path of the wireless access device to the location loc;
representing the channel attenuation coefficient, which is set to 0.2;
representing weak current device->A linear distance to position loc;
representing a preset distance threshold. Calculating to obtain communication channel loss limit values of different functional partitions, wherein a calculation formula of the communication channel loss limit values of the mth functional region is as follows:
wherein:
communication channel loss limit value representing mth functional area, i.e. communication channel loss limit value of mth weak current device type of weak current device,/>
A weak current device set representing the mth weak current device type, +.>Representing weak current device set->The j-th weak current equipment is a linear distance from the nearest strong current equipment;
representing weak current device set->Total number of medium and weak current devices;
indicating a preset electromagnetic interference radius of the strong electric equipment. The scheme measures the communication transmission loss of the weak current equipment according to the closed condition of the area where the weak current equipment is located, the distance from the wireless access equipment and the type of the path obstacle, and constructs the communication channel loss limit values of the weak current equipment of different types based on the distance between the weak current equipment and the strong current equipment, wherein the closer the distance from the strong current equipment is, the larger the influence of the electromagnetic interference of the strong current equipment is, the lower the limit value is, and the weak current isThe lower the communication transmission loss of the equipment is, otherwise, normal communication cannot be performed, and the analysis of the communication condition of the weak current equipment is realized.
Meanwhile, the scheme provides a communication optimization method of weak current equipment in a building, and a wireless access equipment communication range coverage model is constructed, wherein the wireless access equipment communication range coverage model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss values of wireless access equipment deployment positions on different functional partitions as constraints, wherein the communication channel loss values of the wireless access equipment deployment positions on the different functional partitions are lower than a limit value, and the objective function of the wireless access equipment communication range coverage model is as follows:
wherein:
representing a control parameter, which is set to 0.01;
an exponential function that is based on a natural constant;
an objective function representing a wireless access device communication range coverage model,representing a sequence of N wireless access device deployment locations, < >>Representation->N represents the total number of wireless access devices to be deployed,/-the nth wireless access device deployment location in (a)>Representing deployment location in terms of wireless access devicesAfter deployment, the wireless local area network is formed to cover the whole coverage rate of all weak current devices in the building;
the representation is deployed at +.>The joint perception probability of the wireless access equipment to all weak current equipment r in the building;
the representation is deployed at +.>Is a wireless access device for g-th weak current device in building>G represents the total number of weak devices in the building, < >>
The representation is deployed at +.>Wireless access device and weak current device->Is a straight line distance of (2);
representing a preset maximum perceived coverage radius;
the constraint of the wireless access equipment communication range coverage model is as follows:
wherein:
representing weak current device->Weak current device type->,/>Represent the firstA communication channel loss limit value for the seed functional region;
representing weak current device->Is a minimum communication channel loss value of (1);
representing to make weak current device +.>A wireless access device deployment location where the communication channel loss value is minimized. The scheme takes the communication overall coverage of a wireless local area network formed by wireless access devices to all weak current devices in a building as an objective function, takes normal communication of all weak current devices as constraint to construct a wireless access device communication range coverage model, further solves the model, performs updating path control according to iteration directions and iteration step sizes of deployment positions in the model solving process, avoids that the updated positions are far away from the positions before updating, ensures that the weak current devices cannot normally operate, ensures that each floor has enough wireless access devices, and obtains the optimal values of a plurality of wireless access devicesThe position sequence is deployed, so that the communication channel loss value of weak current equipment subjected to electromagnetic wave interference of strong current equipment is smaller, the coverage rate of the wireless local area network to the building is maximized, and the communication efficiency of the weak current equipment is improved.
Drawings
Fig. 1 is a flow chart of a weak current optimization deployment method combined with building functional partitions according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electronic device for implementing a weak current optimization deployment method combined with building functional partitions according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a weak current optimization deployment method combined with building functional partitions. The execution main body of the weak current optimization deployment method combined with the building functional partition comprises at least one of electronic equipment, such as a server side, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the weak current optimization deployment method combined with building function partition may be performed by software or hardware installed in a terminal device or a server device, where the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
s1: building models combined with the functional partitions are generated, wireless access equipment floor channel transmission loss models are built, communication channel loss limiting values of different functional partitions are obtained through calculation, the wireless access equipment floor channel transmission loss models take the distance between weak current equipment and the wireless access equipment as input, and the communication channel loss values of the weak current equipment as output.
And in the step S1, generating a building model combined with the functional partitions, which comprises the following steps:
generating a building model combined with the functional partitions, wherein the building model is expressed in the form of:
wherein:
representing a set of weak devices in the h-th floor in a building model, +.>Represents +.>Weak current device->Indicating the total number of weak devices in the h floor, +.>The building system comprises a building model, a low-current device, a network device and a control system, wherein the building model is used for building, the low-current device is used for representing the floor number in the building model, and is responsible for transmitting signal information, and the low-current device type comprises camera equipment for transmitting video information, intercom equipment for transmitting voice information, various sensor equipment and the network equipment;
representing weak current device->Is described in the information data of (a);
representing weak current device->Weak current device type->M represents the total number of weak current device types;
representing weak current device->Is of the type of region>WhereinRepresenting weak current device->In open area,/->Representing weak current device->In a semi-open semi-closed area, +.>Representing weak current device->Is in a totally enclosed area;
representing weak current device->A linear distance from the nearest strong electric device; the strong electric equipment is electric equipment with the voltage reaching more than 220 volts and is used for transmitting energy;
the weak current equipment type is the function of the area where the weak current equipment is located.
In the step S1, a wireless access equipment floor channel transmission loss model is constructed, which comprises the following steps:
the method comprises the steps of constructing a wireless access equipment floor channel transmission loss model, wherein the wireless access equipment floor channel transmission loss model takes the distance from wireless access equipment as input and the communication channel loss value of weak current equipment as output, and the wireless access equipment floor channel transmission loss model is in the form of:
wherein:
representing weak current device->A communication channel loss value for a wireless access device at a location loc; in the embodiment of the application, weak current device +.>After transmission of the energy or power of the transmitted signal via the radio access device in position loc, it becomes the original energy or power>Doubling;
representing a region attenuation value;
representing weak current device->A channel loss factor of the passed obstacle for the straight path of the wireless access device to the location loc; in the embodiment of the application, the barrier comprises a glass wall, a brick wall and a concrete wall, wherein the channel loss factor of the glass wall is 2, the channel loss factor of the brick wall is 5, and the channel loss factor of the concrete wall is 8;
representing the channel attenuation coefficient, which is set to 0.2;
representing weak current device->A linear distance to position loc;
representing a preset distance threshold.
And the step S1 is used for calculating the communication channel loss limit values of different functional partitions, and comprises the following steps:
calculating to obtain communication channel loss limit values of different functional partitions, wherein a calculation formula of the communication channel loss limit values of the mth functional region is as follows:
wherein:
communication channel loss limit value representing mth functional area, i.e. communication channel loss limit value of mth weak current device type of weak current device,/>
A weak current device set representing the mth weak current device type, +.>Representing weak current device set->The j-th weak current equipment is a linear distance from the nearest strong current equipment;
representing weak current device set->Total number of medium and weak current devices;
indicating a preset electromagnetic interference radius of the strong electric equipment.
S2: and constructing a wireless access equipment communication range coverage model, wherein the model takes the communication overall coverage of the combined floor functional partitions as an objective function, and takes the communication channel loss values of the wireless access equipment deployment positions on weak current equipment of different functional partitions as constraints that the communication channel loss values are lower than limit values.
The step S2 is to construct a wireless access device communication range coverage model, which comprises the following steps:
constructing a wireless access device communication range coverage model, wherein the wireless access device communication range coverage model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss values of wireless access device deployment positions on different functional partitions as constraints, wherein the objective function of the wireless access device communication range coverage model is as follows:
wherein:
representing a control parameter, which is set to 0.01;
an exponential function that is based on a natural constant;
an objective function representing a wireless access device communication range coverage model,representing a sequence of N wireless access device deployment locations, < >>Representation->N represents the total number of wireless access devices to be deployed,/-the nth wireless access device deployment location in (a)>Representing the overall coverage rate of the formed wireless local area network to all weak current devices in the building after deployment according to the deployment position of the wireless access device;
the representation is deployed at +.>The joint perception probability of the wireless access equipment to all weak current equipment r in the building;
the representation is deployed at +.>Is a wireless access device for g-th weak current device in building>G represents the total number of weak devices in the building, < >>
The representation is deployed at +.>Wireless access device and weak current device->Is a straight line distance of (2);
representing a preset maximum perceived coverage radius;
the constraint of the wireless access equipment communication range coverage model is as follows:
wherein:
representing weak current device->Weak current device type->,/>Represent the firstA communication channel loss limit value for the seed functional region;
representing weak current device->Is a minimum communication channel loss value of (1);
representing to make weak current device +.>A wireless access device deployment location where the communication channel loss value is minimized.
S3: and carrying out optimization solution on the coverage model of the communication range of the wireless access equipment based on the objective function and the model constraint to obtain an optimal wireless access equipment deployment position sequence.
In the step S3, the coverage model of the communication range of the wireless access equipment is optimized and solved based on the objective function and the model constraint, and the method comprises the following steps:
and carrying out optimization solution on the communication range coverage model of the wireless access equipment based on the objective function and the model constraint, wherein the optimization solution flow is as follows:
s31: initializing and generating N wireless access device deployment position sequences conforming to model constraint, wherein the number of the wireless access device deployment positions of the h layer in the building is not lower thanThe wireless access device deployment location sequence generated by the initialization +.>The method comprises the following steps:
s32: setting the current iteration number of the optimization solving algorithm as t and the maximum iteration number as Max, wherein the wireless access equipment deployment position sequence obtained by the t-th iteration isWherein the initial value of t is 0;
s33: generating an evaluation function of the wireless access device deployment location sequence based on the objective function, the evaluation function of the wireless access device deployment location sequence:
wherein the evaluation function of the wireless access device deployment location sequence is as followsThe input of the function is a wireless access equipment deployment position sequence obtained by each iteration, and the output is a corresponding evaluation function value;
the evaluation function of the deployment position of the wireless access equipment is as followsThe input of the function is the deployment position of the wireless access equipment obtained by each iteration, and the output is the corresponding evaluation function value;
s34: deploying a sequence of locations for a wireless access deviceIs a wireless access device deployment location +.>Performing iterative updating, wherein the iterative updating formula is as follows:
/>
wherein:
representation->And->Distance in horizontal direction, +.>Representation ofAnd->Distance in the vertical direction;
to adjust parameters;
representing the iteration step length of the t+1st iteration update;
representing the iteration direction of the t+1st iteration update;
representing the position with the highest evaluation function value of the n wireless access equipment deployment position in the t iterative processes;
s35: if weak current equipment which does not meet constraint conditions does not exist after iterative updating, the position is reservedOtherwise, do not reserve position->Will->As->Obtaining a wireless access device deployment location sequence
S36: computing wireless access device deployment location sequencesIf->Greater than a preset evaluation threshold, will +.>As the optimal wireless access device deployment location sequence, otherwise let t=t+1, return to step S34.
S4: and performing wireless access equipment deployment in the optimal wireless access equipment deployment position sequence.
And in the step S4, wireless access equipment deployment is performed, which comprises the following steps:
and (3) according to the optimal wireless access equipment deployment position sequence obtained by solving in the step (S3), carrying out wireless access equipment deployment at N deployment positions in the optimal wireless access equipment deployment position sequence to form a wireless local area network in a building. In the embodiment of the application, the deployment optimization is carried out on the wireless access equipment, so that the communication channel loss value of the weak current equipment which is interfered by the electromagnetic wave of the strong current equipment is smaller, the coverage rate of the wireless local area network to the building is maximized, and the communication efficiency of the weak current equipment is improved.
Example 2:
fig. 2 is a schematic structural diagram of an electronic device for implementing a weak current optimization deployment method combined with building functional partitions according to an embodiment of the present application.
The electronic device 1 may comprise a processor 10, a memory 11, a communication interface 13 and a bus, and may further comprise a computer program, such as program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a secure digital (SecureDigital, SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of the program 12, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective parts of the entire electronic device using various interfaces and lines, executes or executes programs or modules (a program 12 for implementing weak electricity optimization deployment in conjunction with building function blocks, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process the data.
The communication interface 13 may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device 1 and other electronic devices and to enable connection communication between internal components of the electronic device.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 2 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 2 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
building models combined with the functional partitions are generated, a wireless access equipment floor channel transmission loss model is built, and communication channel loss limit values of different functional partitions are obtained through calculation;
constructing a wireless access equipment communication range coverage model, wherein the model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss value of the wireless access equipment deployment position to weak current equipment of different functional partitions as a constraint that the communication channel loss value is lower than a limit value;
optimizing and solving the coverage model of the communication range of the wireless access equipment based on the objective function and model constraint to obtain an optimal wireless access equipment deployment position sequence;
and performing wireless access equipment deployment in the optimal wireless access equipment deployment position sequence.
Specifically, the specific implementation method of the above instruction by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.
It should be noted that, the foregoing reference numerals of the embodiments of the present application are merely for describing the embodiments, and do not represent the advantages and disadvantages of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (5)

1. A weak current optimization deployment method combined with building functional partitions, characterized in that the method comprises the following steps:
s1: building models combined with the functional partitions are generated, a wireless access equipment floor channel transmission loss model is built, and communication channel loss limit values of different functional partitions are obtained through calculation;
generating a building model combined with the functional partitions, wherein the building model is expressed in the form of:
wherein:
representing a set of weak devices in the h-th floor in a building model, +.>Represents +.>Weak current device->The method comprises the steps that the total number of weak current devices in a layer H floor is represented, H represents the layer number in a building model, the weak current devices are responsible for transmitting signal information, and the weak current device types comprise camera devices for transmitting video information, intercom devices for transmitting voice information, various sensor devices and network devices;
representing weak current device->Is described in the information data of (a);
representing weak current device->Weak current device type->M represents the total number of weak current device types;
representing weak current device->Is of the type of region>Wherein->Representing weak current device->In open area,/->Representing weak current device->In a semi-open semi-closed area, +.>Representing weak current device->Is in a totally enclosed area;
representing weak current device->A linear distance from the nearest strong electric device; the strong electric equipment is electric equipment with the voltage reaching more than 220 volts and is used for transmitting energy;
the weak current equipment type is the function of the area where the weak current equipment is located;
s2: constructing a wireless access equipment communication range coverage model, wherein the model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss value of the wireless access equipment deployment position to weak current equipment of different functional partitions as a constraint that the communication channel loss value is lower than a limit value;
constructing a wireless access device communication range coverage model, wherein the wireless access device communication range coverage model takes the communication overall coverage of a combined floor functional partition as an objective function, and takes the communication channel loss values of wireless access device deployment positions on different functional partitions as constraints, wherein the objective function of the wireless access device communication range coverage model is as follows:
wherein:
representing a control parameter, which is set to 0.01;
an exponential function that is based on a natural constant;
an objective function representing a wireless access device communication range coverage model,
representing a sequence of N wireless access device deployment locations, < >>Representation->N represents the total number of wireless access devices to be deployed,/-the nth wireless access device deployment location in (a)>Representing the overall coverage rate of the formed wireless local area network to all weak current devices in the building after deployment according to the deployment position of the wireless access device;
the representation is deployed at +.>The joint perception probability of the wireless access equipment to all weak current equipment r in the building;
the representation is deployed at +.>Is a wireless access device for g-th weak current device in building>G represents the total number of weak devices in the building, < >>
The representation is deployed at +.>Wireless access device and weak current device->Is a straight line distance of (2);
representing a preset maximum perceived coverage radius;
the constraint of the wireless access equipment communication range coverage model is as follows:
wherein:
representing weak current device->Weak current device type->,/>Represent the firstA communication channel loss limit value for the seed functional region;
representing weak current device->Is a minimum communication channel loss value of (1);
representing to make weak current device +.>A wireless access device deployment location where the communication channel loss value is minimized;
s3: optimizing and solving the coverage model of the communication range of the wireless access equipment based on the objective function and model constraint to obtain an optimal wireless access equipment deployment position sequence;
s4: and performing wireless access equipment deployment in the optimal wireless access equipment deployment position sequence.
2. The weak current optimizing deployment method combined with building functional partitions according to claim 1, wherein the constructing a wireless access equipment floor channel transmission loss model in step S1 comprises:
the method comprises the steps of constructing a wireless access equipment floor channel transmission loss model, wherein the wireless access equipment floor channel transmission loss model takes the distance from wireless access equipment as input and the communication channel loss value of weak current equipment as output, and the wireless access equipment floor channel transmission loss model is in the form of:
wherein:
representing weak current device->A communication channel loss value for a wireless access device at a location loc;
representing a region attenuation value;
representing weak current device->A channel loss factor of the passed obstacle for the straight path of the wireless access device to the location loc;
representing the channel attenuation coefficient, which is set to 0.2;
representing weak current device->A linear distance to position loc;
representing a preset distance threshold.
3. The weak current optimization deployment method combined with building functional partitions according to claim 2, wherein the step S1 calculates the communication channel loss limit values of different functional partitions, and the method comprises the following steps:
calculating to obtain communication channel loss limit values of different functional partitions, wherein a calculation formula of the communication channel loss limit values of the mth functional region is as follows:
wherein:
communication channel loss limit value representing mth functional area, i.e. communication channel loss limit value of mth weak current device type of weak current device,/>
A weak current device set representing the mth weak current device type, +.>Representing weak current device set->The j-th weak current equipment is a linear distance from the nearest strong current equipment;
representing weak current device set->Total number of medium and weak current devices;
indicating a preset electromagnetic interference radius of the strong electric equipment.
4. The weak current optimization deployment method combined with building functional partitioning according to claim 1, wherein in the step S3, the optimization solution for the coverage model of the communication range of the wireless access device based on the objective function and the model constraint comprises the following steps:
and carrying out optimization solution on the communication range coverage model of the wireless access equipment based on the objective function and the model constraint, wherein the optimization solution flow is as follows:
s31: initializing and generating N wireless access device deployment position sequences conforming to model constraint, wherein the number of the wireless access device deployment positions of the h layer in the building is not lower thanThe wireless access device deployment location sequence generated by the initialization +.>The method comprises the following steps:
s32: setting the current iteration number of the optimization solving algorithm as t and the maximum iteration number as Max, wherein the wireless access equipment deployment position sequence obtained by the t-th iteration isWherein the initial value of t is 0;
s33: generating an evaluation function of the wireless access device deployment location sequence based on the objective function, the evaluation function of the wireless access device deployment location sequence:
wherein the evaluation function of the wireless access device deployment location sequence is as followsThe input of the function is a wireless access equipment deployment position sequence obtained by each iteration, and the output is a corresponding evaluation function value;
the evaluation function of the deployment position of the wireless access equipment is as followsThe input of the function is the deployment position of the wireless access equipment obtained by each iteration, and the output is the corresponding evaluation function value;
s34: deploying a sequence of locations for a wireless access deviceIs a wireless access device deployment location +.>Performing iterative updating, wherein the iterative updating formula is as follows:
wherein:
representation->And->Distance in horizontal direction, +.>Representation->And->Distance in the vertical direction;
to adjust parameters;
representing the iteration step length of the t+1st iteration update;
representing the iteration direction of the t+1st iteration update;
representing the position with the highest evaluation function value of the n wireless access equipment deployment position in the t iterative processes;
s35: if weak current equipment which does not meet constraint conditions does not exist after iterative updating, the position is reservedOtherwise, do not reserve position->Will->As->Obtaining a wireless access device deployment location sequence
S36: computing wireless access device deployment location sequencesIf->Greater than a preset evaluation threshold, will +.>As the optimal wireless access device deployment location sequence, otherwise let t=t+1, return to step S34.
5. The weak current optimization deployment method combined with building functional partitioning as set forth in claim 4, wherein the wireless access device deployment in step S4 includes:
and (3) according to the optimal wireless access equipment deployment position sequence obtained by solving in the step (S3), carrying out wireless access equipment deployment at N deployment positions in the optimal wireless access equipment deployment position sequence to form a wireless local area network in a building.
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