A method for determining the number, location and angle of landing of smart devices

Abstract

The present invention discloses a method for determining the number, location and angle of smart devices, which simulates the capabilities of real smart devices and scientifically and accurately calculates the real physical devices and performance parameters and other influencing factors to construct digital twins and form twin models and data. The capability coverage of real devices after installation in a certain area is simulated, and the number, location and angle of device installation are continuously adjusted to ultimately achieve the optimal effect of both quantity and coverage.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things smart devices, and in particular to a method for determining the number, position and angle of landing of smart devices. Background Art

[0002] When smart devices are currently implemented in a project, planners usually mark the number and location of each device that needs to be installed in each room on the CAD drawing corresponding to the floor plan based on technical standards and experience, and then export the drawings to technical personnel for on-site wiring and hole reservation. The installation personnel then install the corresponding equipment according to the drawings.

[0003] Specific defects: Some product solution configurations (quantity, position, and angle configuration) have fixed standards and rules, such as: the switch panel is generally between 120 cm and 135 cm from the ground; the smart socket is generally 30 cm from the ground. However, for some products, such as millimeter-wave radars, infrared detectors, voice panels and other equipment, the solution configuration varies with the structure of the house and the environment in the area, and there is no fixed standard. When configuring such products through CAD, because it does not have the ability to calculate the equipment solution configuration (in an area, how to use the least equipment to achieve the best effect is difficult to decide based on experience, and it is easy to have too many configured devices, resulting in increased costs, or there is a problem of incomplete coverage of equipment capabilities resulting in poor results), it is impossible to accurately calculate the required number of devices, positions, and installation angles; and thus it is impossible to accurately configure the number, position, and angle of all smart devices. Summary of the invention

[0004] The purpose of the present invention is to provide a method for determining the number, position and angle of landing of intelligent devices in order to solve the problem of how to scientifically and accurately configure the number, position and angle of landing of such products as millimeter wave radars, infrared detectors, voice panels, etc., which have no fixed configuration standards but the accuracy of configuration will have a serious impact on the installation and use effects. Such products do not have a complete technical standard for solution configuration, or have not formed a universal standard, and it is necessary to form a method to calculate the configuration content according to the specific situation.

[0005] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0006] A method for determining the number, position and angle of landing of smart devices, comprising the following steps:

[0007] Step 1: Determine the area where smart devices need to be installed;

[0008] Step 2: Calculate the number of smart devices installed in the area. If multiple smart devices need to be installed, set the initial installation quantity to two for calculation;

[0009] Step 3: Initialize the particle swarm and explain the settings, and enter the calculation process;

[0010] Step 4: Calculate the objective function value a. When there is only one smart device, the full area coverage is optimal; b. When there are multiple smart devices, the number of smart devices is the least, and the full area coverage is optimal;

[0011] Step 5: Update the individual optimal value Pbest and the group optimal value Gbest: When there is one smart device, update the installation position and angle to calculate the optimal position and angle;

[0012] When there are multiple smart devices, start updating the position and angle from two smart devices; if the optimal value is still not reached, update the number, position and angle to calculate the optimal number, position and angle of each smart device;

[0013] Step 6: Achieve coverage and convergence of smart device capabilities in the area;

[0014] Step 7: Output the optimal result, including the quantity, location and angle of each smart device installation.

[0015] A further solution is that in step 1, the smart device includes a radar device, an infrared detection device, and a voice panel device.

[0016] A further solution is that in step 1, a virtual model of the smart device is constructed through digital twin technology. The digital twin includes physical entities and information virtual entities (digital models, twin data, digital twin services) to establish unified rules for the transmission and access of data, information, and knowledge.

[0017] A further solution is that the digital twin model of the smart device includes: basic information of the device, performance parameters of the device, and other parameters that affect the number and location of device configurations.

[0018] The beneficial effects of the present invention are:

[0019] The present invention simulates the capabilities of real smart devices and calculates scientifically and accurately, constructs digital twins of real physical devices, performance parameters and other influencing factors, and forms twin models and data. The capability coverage of real devices after installation in a certain area is simulated, and the number, position and angle of device installation are continuously adjusted to ultimately achieve the optimal effect of both quantity and coverage. The present invention uses an objective and scientific method to calculate the number, position and angle that need to be configured for such smart devices when they are put into use, providing strong technical support when smart devices are put into use. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 The intelligent device solution configuration implementation process of the present invention: basic information and data collation of physical entities - digital twin model, data construction - simulation calculation of the number of devices and position vectors required in the actual area;

[0022] Figure 2 The present invention simulates and calculates the number, position and angle: after building a digital model of the real physical intelligent device and forming a digital mapping, it starts to simulate the coverage range of the device in a certain area, and continuously tries the effects of different numbers, different installation positions and installation angles, and finally outputs a solution that can meet the coverage area and has the least number of devices;

[0023] Figure 3 This is the overall solution framework of the present invention: the overall solution includes a technical support base, a security layer, a real physical device layer, a mapped digital twin system layer and a simulation computing application layer. DETAILED DESCRIPTION

[0024] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0025] In any embodiment, if Figure 1-3 As shown, a method for determining the number, position and angle of landing of smart devices of the present invention, taking millimeter wave radar as an example, includes:

[0026] First, understand the information of the intelligent device millimeter wave radar, including a. basic device information: product type - intelligent sensor, product name - millimeter wave radar, product model - LD311; b. related performance parameters affecting the millimeter wave radar device: detection radius - no more than 7 meters, distance between Bluetooth connection and hub - no more than 5 meters, installed on the wall, left and right adjustment angle - plus or minus 60 degrees, elevation angle 0-30 degrees, installed on the roof - elevation angle 0-90 degrees; c. other influencing factors: cannot cross the wall and connect to the HUB, more than 5 meters or cross the wall, need to add a Hub; then build a digital twin model based on the above physical device information to form an information virtual body of unified data and information (digital model, twin data, digital twin service);

[0027] Import the floor plan of the house to be installed (which building, which house); the backend simulates and calculates each area of ​​the floor plan according to the characteristics of the millimeter-wave radar, so as to fully cover the number, location and installation angle of the equipment to be installed, such as Figure 2 ; The specific steps are:

[0028] Step 1: Determine the area where the radar needs to be installed;

[0029] Step 2: Calculate whether one or multiple radars are to be installed in the area. If multiple radars are to be installed, set the initial installation quantity to two for calculation;

[0030] Step 3: Initialize the particle swarm and explain the settings, and enter the calculation process;

[0031] Step 4: Calculate the objective function value a. When there is only one radar, the full area coverage is optimal; b. When there are multiple radars, the number of radars is the least and the full area coverage is optimal;

[0032] Step 5: Update the individual optimal value Pbest and the group optimal value Gbest: When there is only one radar, update the installation position and angle to calculate the optimal position and angle;

[0033] When there are multiple radars, start updating the positions and angles from two radars. If the optimal value is still not reached, update the number, position and angle to calculate the optimal number, position and angle of each radar.

[0034] Step 6: Achieve radar coverage convergence in the area;

[0035] Step 7: Output the optimal result, including the quantity, location and angle of each radar installation.

[0036] The best results are sent to the technicians in paper or online form. The technicians will do the wiring and drilling on site, and the installers will install the products based on the results. Figure 3 .

[0037] The present invention constructs a virtual model of an intelligent device through digital twin technology, such as the above millimeter-wave radar model, which includes basic information of the device: type, name, model, and graphics; and includes the above five parameter information of the device; the digital twin includes (1) a physical entity, and (2) an information virtual entity (digital model, twin data, digital twin service) to establish and produce unified data, information, and knowledge transmission and access rules.

[0038] At this time, the particle swarm algorithm simulation calculation can be performed for any house type and area where you want to install;

[0039] Output the optimal calculation results for a certain area under a certain apartment type, including the number of devices, X, Y coordinate points and installation angles.

[0040] The twin digital model of smart devices in the present invention includes: basic information of the device, performance parameters of the device, and other parameters that affect the number and location of device configurations; the apartment area is used to simulate which building, apartment, room, and area that needs to be covered; the algorithm includes a particle swarm algorithm, an artificial fish swarm algorithm, and a set coverage model SCM (greedy algorithm SCM.py); the optimal result includes the least number of devices, but full coverage of the coverage area.

[0041] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further explain various possible combinations. In addition, the various different embodiments of the present invention can also be combined arbitrarily, as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A method for determining the number, position and angle of landing of smart devices, characterized in that: The following steps are involved: Step 1: Determine the area where smart devices need to be installed; Step 2: Calculate the number of smart devices installed in the area. If multiple smart devices need to be installed, set the initial installation quantity to two for calculation; Step 3: Initialize the particle swarm and explain the settings, and enter the calculation process; Step 4: Calculate the objective function value: When there is only one smart device, achieving full area capability coverage is optimal; when there are multiple smart devices, the number of smart devices is the minimum, and full area capability coverage is optimal; Step 5: Update the individual optimal value Pbest and the group optimal value Gbest: When there is one smart device, update the installation position and angle to calculate the optimal position and angle; When there are multiple smart devices, start updating the position and angle from two smart devices; if the optimal value is still not reached, update the number, position and angle to calculate the optimal number, position and angle of each smart device; Step 6: Achieve coverage and convergence of smart device capabilities in the area; Step 7: Output the optimal result, including the quantity, location and angle of each smart device installation.

2. A method for determining the number, position and angle of landing of smart devices according to claim 1, characterized in that: In step 1, the smart device includes a radar device, an infrared detection device, and a voice panel device.

3. The method for determining the number, position and angle of landing of smart devices according to claim 1, characterized in that: In step 1, a virtual model of the smart device is constructed through the digital twin technology, and the digital twin establishes unified data, information, and knowledge transmission and access rules through physical entities and information virtual entities.

4. A method for determining the number, position and angle of landing of smart devices as claimed in claim 3, characterized in that: The digital twin model of smart devices includes: basic information of the device, performance parameters of the device, and other parameters that affect the number and location of device configurations.

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