Home layout optimization method based on reinforcement learning

Abstract

The invention discloses a home layout optimization method based on reinforcement learning, relates to the technical field of home layout optimization, and solves the technical problems that in the prior art, the influence of air circulation cannot be evaluated in real time, and the practicability of home layout except reasonability cannot be ensured, specifically, the influence of air circulation, completion of occupation analysis of a reserved area, and optimization of the home layout. Analyzing the air circulation efficiency in the current home layout area; track conversion data and track accumulation data are collected, an adjustment signal or a circulation qualified signal is generated according to data analysis, and a designer obtains a circulation qualified area according to the signal; passing analysis: after the air circulation analysis, carrying out passing influence analysis on the current home layout area, and deducing whether the current home layout has influence on the passing of the resident; a passage quantity parameter and a passage area parameter are collected, a passage integer signal or a passage satisfaction signal is generated according to parameter analysis, and a designer obtains a passage qualified area according to the signal.

Description

Technical Field

[0001] The present invention relates to the technical field of home layout optimization, and in particular to a home layout optimization method based on reinforcement learning. Background Art

[0002] The layout of a home is determined by the "order" of various objects in the surrounding environment in time and space.

[0003] However, in the prior art, it is not possible to infer whether the current home layout is reasonable through the use impact analysis of the reserved area, and it is not possible to conduct a real-time assessment of the impact on air circulation, and it is impossible to ensure the practicality of the home layout in addition to its rationality. In addition, it is not possible to analyze the impact of the current home layout on the traffic of residents, which reduces the usability and practicality of the home layout.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a home layout optimization method based on reinforcement learning.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] The home layout optimization method based on reinforcement learning, the specific home layout optimization method process is as follows:

[0008] Area occupancy analysis: analyze the impact of reserved area usage to infer whether there is any impact on the home layout of the current area; collect area occupancy information and substitute it into the formula to obtain the occupancy impact analysis coefficient of the vacant reserved area. Generate area adjustment signal or area qualification signal based on coefficient comparison, and the designer obtains the qualified occupation area based on the signal;

[0009] Air circulation influence, complete reserved area occupancy analysis, analyze the air circulation efficiency in the current home layout area; collect trajectory conversion data and trajectory accumulation data, generate adjustment signals or circulation qualified signals based on data analysis, and designers obtain circulation qualified areas based on the signals;

[0010] Traffic analysis: after air circulation analysis, conduct traffic impact analysis on the current home layout area to infer whether the current home layout has an impact on the residents' traffic; collect traffic quantity parameters and traffic area parameters, generate traffic rectification signals or traffic satisfaction signals based on parameter analysis, and the designer obtains the traffic qualified area based on the signals;

[0011] Optimization analysis: After determining the home layout requirements, optimize the home layout according to the real-time living environment, and make fine adjustments when optimization is needed. Collect single-area optimization information and multiple-area optimization information, and generate optimization analysis signals or layout qualification signals based on information analysis. Designers determine the home layout plan based on the signals.

[0012] As a preferred embodiment of the present invention, the area occupancy information includes the deviation between the actual area of ​​the vacant reserved area and the maximum area of ​​the reserved area after the layout is adjusted, the area deviation between the actual area of ​​the vacant reserved area and the utilized area of ​​the reserved area after the layout is adjusted, and the excess amount between the utilization area ratio of the actual area of ​​the vacant reserved area and the utilization area ratio of the reserved area after the layout is adjusted.

[0013] As a preferred implementation of the present invention, if the occupancy impact analysis coefficient exceeds the occupancy impact analysis coefficient threshold, an area adjustment signal is generated; if the occupancy impact analysis coefficient does not exceed the occupancy impact analysis coefficient threshold, an area qualification signal is generated.

[0014] As a preferred embodiment of the present invention, the trajectory conversion data and the trajectory accumulation data are respectively the actual trajectory occupied area of ​​the current home location when the main trajectory in the qualified occupied area is converted into a secondary trajectory, and the numerical ratio of the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home location in the entire area within the qualified occupied area.

[0015] As a preferred embodiment of the present invention, if the trajectory conversion data exceeds the trajectory occupied area threshold, or the trajectory cumulative data exceeds the occupied area ratio numerical ratio threshold, an adjustment signal is generated; if the trajectory conversion data does not exceed the trajectory occupied area threshold, and the trajectory cumulative data does not exceed the occupied area ratio numerical ratio threshold, a circulation qualified signal is generated.

[0016] As a preferred embodiment of the present invention, the passage number parameter and the passage area parameter are respectively the shortening of the actual number of passage trajectories of residents under the current home layout in the reserved channel area of ​​residents occupying the qualified area, and the reduction of the actual passage occupiable area in the current home layout in the reserved channel area of ​​residents occupying the qualified area compared with the corresponding resident passage trajectory coverage of the non-current scheme.

[0017] As a preferred embodiment of the present invention, if the number of passes exceeds the threshold value of the shortening amount of the number of passing trajectories, or the traffic area parameter exceeds the threshold value of the reduction amount of the occupiable area, a traffic rectification signal is generated; if the number of passes does not exceed the threshold value of the shortening amount of the number of passing trajectories, and the traffic area parameter does not exceed the threshold value of the reduction amount of the occupiable area, a traffic satisfaction signal is generated.

[0018] As a preferred embodiment of the present invention, the single-area optimization information and the multiple-area optimization information are respectively the maximum reciprocating floating span value of the regional luminous flux passing through the home location in the irradiation direction in the light irradiation trajectory covering the home location, and the excess of the actual regional luminous flux average value covered by the light irradiation trajectory and the actual regional luminous flux average value not covering the home location.

[0019] As a preferred embodiment of the present invention, if the optimization information of a single area exceeds the maximum reciprocating floating span threshold, or the optimization information of multiple areas does not exceed the average luminous flux excess threshold, an optimization analysis signal is generated; if the optimization information of a single area does not exceed the maximum reciprocating floating span threshold, and the optimization information of multiple areas exceeds the average luminous flux excess threshold, a layout qualification signal is generated.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. In the present invention, the use impact of the reserved area is analyzed to infer whether there is an impact on the home layout of the current area; through the use impact analysis of the reserved area within the home layout area, the home layout is optimized to ensure the use efficiency of the reserved area, and at the same time, the optimization efficiency of the home layout area can be ensured, thereby improving the rationality and practicality of the layout;

[0022] Complete the reserved area occupancy analysis, analyze the air circulation efficiency in the current home layout area, and adjust the layout based on the efficiency analysis. Improve the practicality of the current home layout through air circulation impact analysis to ensure the utilization efficiency of the home layout and ensure that the layout meets the actual needs of the residents.

[0023] 2. In the present invention, after air circulation analysis, the traffic impact analysis is performed on the current home layout area to infer whether the current home layout has an impact on the residents' traffic, and reasonable adjustments are made under the current home layout environment to ensure that the home layout does not affect the residents' mobility efficiency, avoid inconvenience to the residents, and reduce the practicality of the home layout;

[0024] After determining the home layout requirements, optimize the home layout according to the real-time living environment, and make fine adjustments when optimization is needed. Fine-tune the home layout based on the simultaneous analysis of the real-time living environment to ensure that the home layout will not affect the actual living quality in the current living area, and that it is reasonably laid out without affecting the environment of the living area. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0026] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] See also Figure 1 As shown in FIG. 1 , a home layout optimization method based on reinforcement learning is proposed. The specific process of the home layout optimization method is as follows:

[0030] Area occupancy analysis: analyze the impact of the reserved area on its use, and infer whether there is any impact on the home layout of the current area; optimize the home layout through the use impact analysis of the reserved area within the home layout area to ensure the efficiency of the reserved area, and at the same time ensure the optimization efficiency of the home layout area, thereby improving the rationality and practicality of the layout;

[0031] Air circulation impact, complete the reserved area occupancy analysis, analyze the air circulation efficiency in the current home layout area, and adjust the layout based on the efficiency analysis. Through air circulation impact analysis, the practicality of the current home layout is improved to ensure the efficiency of the home layout and ensure that the layout fits the actual needs of the residents;

[0032] Traffic analysis: after air circulation analysis, conduct traffic impact analysis on the current home layout area to infer whether the current home layout has an impact on the residents' traffic. Make reasonable adjustments under the current home layout environment to ensure that the home layout does not affect the residents' mobility efficiency, avoid inconvenience to the residents, and reduce the practicality of the home layout.

[0033] Optimization analysis: after determining the home layout requirements, optimize the home layout according to the real-time living environment, and make fine adjustments when optimization is needed. Fine-tune the home layout according to the real-time living environment to ensure that the home layout will not affect the actual living quality in the current living area, and the layout is reasonable without affecting the living area environment;

[0034] The area occupancy analysis process is as follows:

[0035] The home layout area is marked as a planned area, and the vacant reserved area is collected according to the planned area, and the vacant reserved area is analyzed to obtain the deviation amount corresponding to the actual area of ​​the vacant reserved area in the home layout area and the maximum area of ​​the reserved area after the layout is adjusted, and the deviation amount corresponding to the actual area of ​​the vacant reserved area in the home layout area and the maximum area of ​​the reserved area after the layout is adjusted is marked as MJP;

[0036] At the same time, the area deviation value corresponding to the utilization area of ​​the actual area of ​​the vacant reserved area and the utilization area of ​​the reserved area after the layout adjustment is obtained, and the area deviation value corresponding to the utilization area of ​​the actual area of ​​the vacant reserved area and the utilization area of ​​the reserved area after the layout adjustment is marked as LMP;

[0037] Obtain the excess amount of the utilization area ratio of the actual area of ​​the vacant reserved area and the utilization area ratio of the reserved area after the layout is adjusted, and mark the excess amount of the utilization area ratio of the actual area of ​​the vacant reserved area and the utilization area ratio of the reserved area after the layout is adjusted as ZBD;

[0038] The above collected information is uniformly marked as area occupancy information, and substituted into the formula to obtain the occupancy impact analysis coefficient of the vacant reserved area, where the formula is: , Z is the occupancy impact analysis coefficient of the vacant reserved area, g1 and g2 are preset proportional coefficients, and t is the actual planned trial time;

[0039] Compare the occupancy impact analysis factor of the vacant reserved area to the occupancy impact analysis factor threshold:

[0040] If the occupancy impact analysis coefficient of the vacant reserved area exceeds the occupancy impact analysis coefficient threshold, it is inferred that the occupancy impact analysis of the vacant reserved area is abnormal, and an area adjustment signal is generated and sent to the designer terminal. After receiving the area adjustment signal, the designer terminal re-arranges and adjusts the homes covered by the current vacant reserved area to expand the vacant reserved area.

[0041] If the occupancy impact analysis coefficient of the vacant reserved area does not exceed the occupancy impact analysis coefficient threshold, it is inferred that the occupancy impact analysis of the vacant reserved area is normal, and a region qualification signal is generated and sent to the designer terminal. After receiving the signal, the designer terminal marks the current planning area as an occupancy qualified area, and proceeds to the next step;

[0042] The air circulation affects the process as follows:

[0043] The preset air circulation trajectory is obtained according to each entrance and exit of the qualified occupied area; the air circulation trajectory is divided into a main trajectory and a secondary trajectory according to the diameter of the entrance and exit, wherein the method of presetting the air circulation trajectory according to the entrance and exit conforms to the actual logic; that is, there must be air circulation trajectories between two opposite entrances and exits in the natural environment;

[0044] The actual trajectory occupied area of ​​the current home location when the main trajectory is transformed into the secondary trajectory in the qualified occupation area is collected, where the transformation of the main trajectory into the secondary trajectory means that the current location is the secondary trajectory after the main trajectory circulates through the path, and the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home locations in the entire area in the qualified occupation area is obtained at the same time, and the actual trajectory occupied area of ​​the current home location when the main trajectory is transformed into the secondary trajectory in the qualified occupation area, and the numerical ratio of the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home locations in the entire area in the qualified occupation area are marked as trajectory conversion data and trajectory accumulation data, respectively, and compared with the trajectory occupied area threshold and the occupied area ratio numerical ratio threshold, respectively:

[0045] If the actual trajectory occupied area of ​​the current home location exceeds the trajectory occupied area threshold when the main trajectory is transformed into the secondary trajectory in the qualified occupation area, or the numerical ratio of the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home location in the entire area in the qualified occupation area exceeds the numerical ratio threshold of the occupied area ratio, it is inferred that the home planning of the current qualified occupation area affects the air circulation, and an adjustment signal is generated and sent to the designer terminal. After receiving the adjustment signal, the designer terminal makes a priority layout adjustment for the home in the main trajectory position in the qualified occupation area. Among them, the use of the occupied area ratio can weaken the influence of the secondary trajectory. In actual scenarios, the circulation efficiency of the secondary trajectory is low when the main trajectory is circulating. Therefore, data collection using the numerical ratio can reflect the rationality of the layout;

[0046] If the actual trajectory occupied area of ​​the current home location does not exceed the trajectory occupied area threshold when the main trajectory in the qualified occupation area is transformed into the secondary trajectory, and the numerical ratio of the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home location in the entire area in the qualified occupation area does not exceed the numerical ratio threshold of the occupied area ratio, it is inferred that the home planning of the current qualified occupation area does not affect the air circulation, and a qualified circulation signal is generated and sent to the designer terminal. After receiving the qualified circulation signal, the designer terminal marks the qualified occupation area as a qualified circulation area and proceeds to the next step;

[0047] The general analysis process is as follows:

[0048] The shortening amount of the actual passage trajectory of the residents under the current home layout in the reserved channel area of ​​the residents occupying the qualified area is obtained, and at the same time, the reduction amount of the actual passage occupiable area in the passage trajectory coverage of the residents corresponding to the non-current scheme under the current home layout in the reserved channel area of ​​the residents occupying the qualified area is obtained, and the shortening amount of the actual passage trajectory of the residents under the current home layout in the reserved channel area of ​​the residents occupying the qualified area and the reduction amount of the actual passage occupiable area in the passage trajectory coverage of the residents corresponding to the non-current scheme under the current home layout in the reserved channel area of ​​the residents occupying the qualified area are marked as the passage quantity parameter and the passage area parameter, respectively, and compared with the passage trajectory quantity shortening amount threshold and the occupiable area reduction amount threshold, respectively:

[0049] If the shortening amount of the actual number of passage trajectories of the residents under the current home layout in the reserved passage area of ​​the residents occupying the qualified area exceeds the shortening amount threshold of the passage trajectory, or the reduction amount of the actual passage occupiable area in the current home layout in the reserved passage area of ​​the residents occupying the qualified area compared with the passage trajectory coverage of the residents corresponding to the non-current solution exceeds the reduction amount threshold of the occupiable area, it is inferred that the current home layout planning of the qualified area is not in compliance, and a passage rectification signal is generated and sent to the designer terminal. After receiving the passage rectification signal, the designer terminal optimizes the home layout of the current qualified area to increase the number of passage trajectories and the actual passage occupiable area; and proceeds to the next step;

[0050] If the shortening amount of the actual number of passage trajectories of the residents under the current home layout in the reserved passage area of ​​the residents occupying the qualified area does not exceed the shortening amount threshold of the number of passage trajectories, and the reduction amount of the actual passage occupiable area in the current home layout in the reserved passage area of ​​the residents occupying the qualified area compared with the corresponding passage trajectory coverage of the residents in the non-current scheme does not exceed the reduction amount threshold of the occupiable area, it is inferred that the current home layout planning of the qualified area is in compliance, and a passage satisfaction signal is generated and sent to the designer terminal. After receiving the passage satisfaction signal, the designer terminal marks the qualified area as a passage qualified area after completing the modification according to the current home layout scheme;

[0051] The optimization analysis process is as follows:

[0052] The light exposure trajectory in the residential environment within the qualified area is obtained, and the number of light exposure trajectories is different and changes in real time according to the real-time environment; the maximum reciprocating floating span value of the regional luminous flux that passes through the home location in the exposure direction in the light exposure trajectory covering the home location is obtained, and at the same time, the excess of the actual regional luminous flux average value covered by the light exposure trajectory and the actual regional luminous flux average value not covering the home location is obtained, and the maximum reciprocating floating span value of the regional luminous flux that passes through the home location in the exposure direction in the light exposure trajectory covering the home location and the excess of the actual regional luminous flux average value covered by the light exposure trajectory and the actual regional luminous flux average value not covering the home location are marked as single-area optimization information and multiple-area optimization information, respectively, and compared with the maximum reciprocating floating span threshold and the luminous flux average excess threshold, respectively:

[0053] If the maximum reciprocating floating span value of the regional luminous flux in the direction of the illumination direction passing through the home position in the light illumination trajectory covering the home position exceeds the maximum reciprocating floating span threshold, or the excess of the actual regional luminous flux average value covered by the light illumination trajectory and the actual regional luminous flux average value not covering the home position does not exceed the luminous flux average excess threshold, it is inferred that the qualified area needs to be optimized and analyzed, and an optimization analysis signal is generated and sent to the designer terminal; after receiving the optimization analysis signal, the designer terminal performs real-time home layout optimization according to the changes in the light illumination trajectory of the qualified area;

[0054] If the maximum reciprocating floating span value of the regional luminous flux that passes through the home location in the direction of the light illumination trajectory covering the home location does not exceed the maximum reciprocating floating span threshold, and the excess of the actual regional luminous flux average value covered by the light illumination trajectory and the actual regional luminous flux average value not covering the home location exceeds the luminous flux average excess threshold, then it is inferred that the qualified area does not need to be optimized, and a layout qualification signal is generated and sent to the designer terminal; after receiving the layout qualification signal, the designer terminal confirms the home layout plan for the current planned area.

[0055] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0056] When the present invention is used, the regional occupancy analysis is performed to analyze the use impact of the reserved area, and to infer whether there is an impact on the home layout of the current area; the regional occupancy information is collected, and the occupancy impact analysis coefficient of the vacant reserved area is obtained by substituting it into the formula, and a regional adjustment signal or a regional qualified signal is generated according to the coefficient comparison, and the designer obtains the qualified occupied area according to the signal;

[0057] Air circulation impact, complete reserved area occupancy analysis, and analyze the air circulation efficiency in the current home layout area; collect trajectory conversion data and trajectory accumulation data, and generate adjustment signals or circulation qualified signals based on data analysis. Designers obtain circulation qualified areas based on the signals; traffic analysis, after air circulation analysis, conduct traffic impact analysis on the current home layout area to infer whether the current home layout has an impact on the residents' traffic; collect traffic quantity parameters and traffic area parameters, and generate traffic rectification signals or traffic satisfaction signals based on parameter analysis. Designers obtain traffic qualified areas based on the signals; optimization analysis, after determining the home layout requirements, optimize the home layout according to the real-time living environment, and make fine-tuning when optimization is needed, collect single area optimization information and multiple area optimization information, and generate optimization analysis signals or layout qualified signals based on information analysis. Designers determine the home layout plan based on the signals.

[0058] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A home layout optimization method based on reinforcement learning, characterized in that: The specific home layout optimization method process is as follows: Area occupancy analysis: analyze the impact of reserved area usage to infer whether there is any impact on the home layout of the current area; collect area occupancy information and substitute it into the formula to obtain the occupancy impact analysis coefficient of the vacant reserved area. Generate area adjustment signal or area qualification signal based on coefficient comparison, and the designer obtains the qualified occupation area based on the signal; Air circulation influence, complete reserved area occupancy analysis, analyze the air circulation efficiency in the current home layout area; collect trajectory conversion data and trajectory accumulation data, generate adjustment signals or circulation qualified signals based on data analysis, and designers obtain circulation qualified areas based on the signals; Traffic analysis: after air circulation analysis, conduct traffic impact analysis on the current home layout area to infer whether the current home layout has an impact on the residents' traffic; collect traffic quantity parameters and traffic area parameters, generate traffic rectification signals or traffic satisfaction signals based on parameter analysis, and the designer obtains the traffic qualified area based on the signals; Optimization analysis: After determining the home layout requirements, optimize the home layout according to the real-time living environment, and make fine adjustments when optimization is needed. Collect single-area optimization information and multiple-area optimization information, and generate optimization analysis signals or layout qualification signals based on information analysis. Designers determine the home layout plan based on the signals.

2. The method for optimizing home layout based on reinforcement learning according to claim 1, characterized in that: The area occupancy information includes the deviation between the actual area of ​​the vacant reserved area and the maximum area of ​​the reserved area after the layout is adjusted, the area deviation between the actual area of ​​the vacant reserved area and the utilized area of ​​the reserved area after the layout is adjusted, and the excess amount between the utilized area ratio of the actual area of ​​the vacant reserved area and the utilized area ratio of the reserved area after the layout is adjusted.

3. The method for optimizing home layout based on reinforcement learning according to claim 2, characterized in that: If the occupancy impact analysis coefficient exceeds the occupancy impact analysis coefficient threshold, an area adjustment signal is generated; if the occupancy impact analysis coefficient does not exceed the occupancy impact analysis coefficient threshold, an area qualification signal is generated.

4. The method for optimizing home layout based on reinforcement learning according to claim 1, characterized in that: The trajectory conversion data and trajectory accumulation data are respectively the actual trajectory occupied area of ​​the current home location when the main trajectory in the qualified occupation area is transformed into the secondary trajectory, and the numerical ratio of the occupied area ratio of the main trajectory and the secondary trajectory corresponding to the home locations in the entire area in the qualified occupation area.

5. The method for optimizing home layout based on reinforcement learning according to claim 4, characterized in that: If the trajectory conversion data exceeds the trajectory occupied area threshold, or the trajectory cumulative data exceeds the occupied area ratio numerical ratio threshold, an adjustment signal is generated; if the trajectory conversion data does not exceed the trajectory occupied area threshold, and the trajectory cumulative data does not exceed the occupied area ratio numerical ratio threshold, a circulation qualified signal is generated.

6. The method for optimizing home layout based on reinforcement learning according to claim 1, characterized in that: The passage quantity parameter and the passage area parameter are respectively the shortening of the actual passage trajectories of residents under the current home layout in the reserved passage area of ​​residents occupying the qualified area, and the reduction of the actual passage occupiable area in the passage area of ​​residents occupying the qualified area under the current home layout compared with the corresponding resident passage trajectory coverage of the non-current scheme.

7. The method for optimizing home layout based on reinforcement learning according to claim 6, characterized in that: If the number of passes exceeds the threshold of shortening of the number of passes, or the area parameter exceeds the threshold of reducing the area that can be occupied, a traffic rectification signal is generated; if the number of passes does not exceed the threshold of shortening of the number of passes, and the area parameter does not exceed the threshold of reducing the area that can be occupied, a traffic satisfaction signal is generated.

8. The method for optimizing home layout based on reinforcement learning according to claim 1, characterized in that: The single-area optimization information and the multiple-area optimization information are respectively the maximum reciprocating floating span value of the regional luminous flux that passes through the home location in the direction of the light illumination trajectory covering the home location, and the excess of the actual regional luminous flux average value covered by the light illumination trajectory and the actual regional luminous flux average value not covering the home location.

9. The method for optimizing home layout based on reinforcement learning according to claim 8, characterized in that: If the optimization information of a single area exceeds the maximum reciprocating floating span threshold, or the optimization information of multiple areas does not exceed the average luminous flux excess threshold, an optimization analysis signal is generated; if the optimization information of a single area does not exceed the maximum reciprocating floating span threshold, and the optimization information of multiple areas exceeds the average luminous flux excess threshold, a layout qualification signal is generated.

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