CN117881054A - Self-adaptive open-air illumination regulation and control method and system - Google Patents
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Abstract
The invention discloses a self-adaptive open-air illumination regulation and control method and system, and relates to the field of illumination regulation and control. The method comprises the following steps: extracting a target area functional partition to generate a sensing layout scheme; according to the sensing layout scheme, configuring an ambient light sensor to form a light sensing network; acquiring historical operation data of a target area, and establishing a sample operation database; acquiring an environment correction parameter space; performing environment correction of the sample operation database to obtain a corrected operation database; and calling the correction operation database, constructing and training a self-adaptive illumination regulation decision model, and carrying out illumination regulation of the target area. The technical problem of the unified regulation and control of open-air illumination among the prior art, all areas illumination intensity is the same, the extravagant resource that leads to has been reached and has been extracted regional function subregion of target, acquires subregion illumination demand, through generating reasonable sensing layout scheme, improves the quality and the efficiency of illumination, the technological effect of energy saving.
Description
Technical Field
The application relates to the technical field of data regulation and control, in particular to the field of illumination regulation and control, and specifically relates to a self-adaptive open-air illumination regulation and control method and system.
Background
Adaptation generally means that the system or individual can adjust his own behavior or strategy according to changes in the environment or changes in the demands, and the kinds of outdoor lighting devices are numerous, including street lamps, garden lamps, lawn lamps, floor lamps, etc. The design and the functions of the equipment are different, the illumination requirements of different places and requirements are met, and along with the continuous development of technology, the application field of open-air illumination is also expanding continuously. In addition to traditional road lighting and plaza lighting, more businesses, parks, scenic spots, etc. now use open air lighting to create atmosphere or enhance night safety. With the continuous development of technology, the existing outdoor illumination has unified regulation and control, so that energy waste is caused, and the self-adaptive outdoor illumination regulation and control is provided, and the self-adaptive outdoor illumination regulation and control can regulate illumination parameters according to environment and scene changes, so that more comfortable and natural illumination effects are provided, unnecessary energy waste can be effectively reduced, and the purposes of energy conservation and emission reduction are achieved.
In summary, in the prior art, there is a unified regulation and control of outdoor illumination, which causes the same illumination intensity in all areas, and the technical problem of resource waste is caused.
Disclosure of Invention
Based on the above, it is necessary to provide a self-adaptive open-air lighting control method and system capable of extracting functional partitions of a target area, acquiring partition lighting requirements, improving lighting quality and efficiency by generating a reasonable sensing layout scheme, and saving energy.
In a first aspect, there is provided an adaptive outdoor lighting regulation method, the method comprising: extracting a target area functional partition, acquiring partition lighting requirements, and generating a sensing layout scheme; according to the sensor layout scheme, configuring an ambient light sensor to form a light sensing network, wherein the light sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions; acquiring historical operation data of a target area, and establishing a sample operation database, wherein the sample operation database comprises standard sample data and abnormal sample data; acquiring an environment correction parameter space, wherein the environment correction parameter space is a multidimensional parameter space acquired based on simulation; based on the environment correction parameter space, performing environment correction of the sample operation database to obtain a correction operation database; and calling the correction operation database, constructing and training a self-adaptive illumination regulation decision model, and carrying out illumination regulation of the target area.
In a second aspect, there is provided an adaptive outdoor lighting regulation system, the system comprising: the sensing layout scheme generation module is used for extracting functional partitions of the target area, acquiring partition lighting requirements and generating a sensing layout scheme; the optical sensing network forming module is used for configuring an ambient light sensor according to the sensing layout scheme to form an optical sensing network, wherein the optical sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions; the system comprises a sample operation database establishing module, a sample operation database acquiring module and a sample operation database acquiring module, wherein the sample operation database establishing module is used for acquiring historical operation data of a target area and establishing a sample operation database, and the sample operation database comprises standard sample data and abnormal sample data; the environment correction parameter space acquisition module is used for acquiring an environment correction parameter space, wherein the environment correction parameter space is a multidimensional parameter space acquired based on simulation; the correction operation database acquisition module is used for carrying out environment correction on the sample operation database based on the environment correction parameter space to acquire a correction operation database; and the illumination regulation and control module is used for calling the correction operation database, constructing and training a self-adaptive illumination regulation and control decision model and carrying out illumination regulation and control on the target area.
In a third aspect, there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of the first aspect when the computer program is executed.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the first aspect.
Above-mentioned self-adaptation open-air illumination regulation and control method and system, this application has solved among the prior art open-air illumination unified regulation and control, and all regional illumination intensity is the same, and the technical problem of the extravagant resource that leads to has reached and has drawed the regional functional subregion of target, obtains subregion illumination demand, through generating reasonable sensing layout scheme, improves the quality and the efficiency of illumination, the technological effect of energy saving.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
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FIG. 1 is a flow chart of an adaptive outdoor lighting regulation method according to one embodiment;
FIG. 2 is a flow chart of a method for generating a sensor layout scheme for an adaptive outdoor lighting regulation method in one embodiment;
FIG. 3 is a block diagram of an adaptive outdoor lighting regulation system in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a sensing layout scheme generating module 11, a light sensing network forming module 12, a sample operation database establishing module 13, an environment correction parameter space acquiring module 14, a correction operation database acquiring module 15 and an illumination regulating and controlling module 16.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides an adaptive outdoor lighting regulation method, the method comprising:
extracting a target area functional partition, acquiring partition lighting requirements, and generating a sensing layout scheme;
a self-adaptive open-air lighting regulation and control method relates to the technical field of lighting control, in particular to a system and a method for self-adaptively regulating the brightness of open-air lighting equipment according to factors such as ambient brightness, people flow condition and time period, wherein the self-adaptation refers to the process of automatically regulating a processing method, a processing sequence, processing parameters, boundary conditions or constraint conditions according to the data characteristics of processed data in the processing and analyzing processes so as to adapt to the statistical distribution characteristics and the structural characteristics of the processed data to obtain the optimal processing effect. The self-adaptive illumination device has the advantages that the brightness of the illumination device can be adaptively adjusted according to the actual environment conditions, so that the technical effects of meeting illumination requirements, saving energy and reducing energy consumption are achieved.
The target area is an area which needs to be subjected to illumination regulation and control, the target area is divided by staff, the target area is analyzed in detail, the functional subareas of the target area, such as business areas, living areas, parks and roads, are obtained, the functional subareas have specific use purposes and applicable crowds, the illumination requirements of the functional subareas are different, the subarea illumination requirements are determined according to the characteristics and the use requirements of the functional subareas, the subarea illumination requirements refer to the light requirement degree of the functional subareas, such as the business areas need higher brightness to attract customers, the living areas need soft light and the like, the appropriate sensors are selected to measure and control illumination according to the illumination requirements, and the different sensors have different measurement ranges and accuracies and need to be selected according to the requirements. For example, the photosensitive sensor may measure the ambient brightness, the infrared sensor may detect the human body activity, etc., and a sensor layout scheme is formulated according to the functional partition and partition lighting requirements and the sensor measurement range, where the sensor layout scheme includes the number, position, installation mode, etc. of the sensors. The functional subareas of the target area are effectively extracted, the subarea illumination requirements are obtained, and a reasonable sensing layout scheme is generated, so that the quality and the efficiency of illumination are improved, and energy is saved.
As shown in fig. 2, acquiring a target area current sensor network configuration;
acquiring sensing acquisition constraints according to the partition lighting requirements;
verifying the configuration of the current sensor network by using the sensing acquisition constraint to obtain a configuration verification result;
based on the configuration verification result, updating the configuration of the sensor network, and generating a sensor layout scheme.
Acquiring the existing sensor network configuration of the target area, wherein the existing sensor network configuration comprises information such as the current sensor type, the number, the position and the working state, and connection and communication modes of the sensors and the lighting system, and acquiring sensing acquisition constraints according to the partition lighting requirements, wherein the sensing acquisition constraints are constraint conditions of the target area, the measuring range, the precision, the response time and the like of the sensors are required, the existing sensor network configuration is verified according to the sensing acquisition constraints, for example, in the existing sensor network configuration, the measuring range of the sensors of a commercial partition is 10 meters, if the measuring range of the sensors divided in the sensing acquisition constraints is 8 meters, the configuration verification result is a conforming condition, namely, the original condition is maintained, and if the measuring range of the sensors divided in the sensing acquisition constraints is 12 meters, the configuration verification result is a non-conforming condition, the sensor network configuration is updated, and the sensor network configuration is ensured to meet the partition lighting requirements and the acquisition constraints. Based on the configuration verification result, the sensor network configuration is updated and optimized, including increasing or decreasing the number of sensors, changing the sensor type, adjusting the sensor position, and the like. The optimized configuration should be able to better meet the zonal lighting requirements and acquisition constraints and generate the final sensor layout scheme. The method ensures the effective implementation of the self-adaptive open-air illumination regulation and control method, and realizes reasonable configuration and optimization of the sensor network according to actual requirements and conditions, thereby improving the accuracy and efficiency of illumination regulation and control.
Determining illumination environment influence factors;
determining an influence factor range according to the illumination environment influence factors to form a multidimensional parameter space;
constructing a simulated lighting model based on a lighting expert system;
and traversing random points in the multidimensional parameter space, and performing simulated illumination simulation to obtain an environment correction parameter space.
Determining main factors influencing the illumination environment, wherein the illumination environment influencing factors comprise weather conditions (such as cloudy days, sunny days, rainy days and the like), seasonal changes, geographic positions, time and the like, determining the value range of the factors according to the illumination environment influencing factors, and forming a multi-dimensional parameter space according to the value range, wherein the multi-dimensional parameter space is used for constructing a simulated illumination model so as to simulate the illumination environment more comprehensively and regulate the illumination environment; expert system refers to an Artificial Intelligence (AI) technology that uses computer programs to simulate the knowledge and reasoning process of human experts to solve problems in a particular field. Expert systems typically include a knowledge base that stores a number of facts and rules, and an inference engine that uses the rules and facts to infer and make decisions; the lighting expert system is used to construct a simulated lighting model. By utilizing the knowledge and experience of the expert on the illumination environment influence factors and the illumination effect, a simulation model capable of predicting the illumination effect according to the input illumination environment parameters can be constructed. The model can simulate the corresponding illumination environment state according to different weather conditions, seasonal changes, geographical positions and other factors, and provides basis for the regulation and control of the lighting equipment; a series of points are randomly selected in the multidimensional parameter space, and each point is subjected to simulated illumination. By traversing the whole parameter space, lighting effects under different conditions can be obtained, and an environment correction parameter space is formed. This parameter space will be used to further optimize and adjust the regulation strategy of the lighting device to achieve a more accurate adaptive regulation. Comprehensively knowing the influencing factors of the illumination environment, constructing an effective simulated illumination model, and acquiring an environment correction parameter space. These results will provide an important reference for subsequent lighting fixture regulation and control, helping to achieve more accurate and intelligent outdoor lighting regulation and control.
Randomly selecting points in the multidimensional parameter space to generate a first random parameter set;
initializing a simulated lighting model by using the first random parameter set, and performing simulated lighting simulation to obtain a first simulation result;
calculating a first environment correction parameter based on the first simulation result, wherein the first environment correction parameter comprises a positive value and a negative value;
presetting a point selection step length, traversing the multidimensional parameter space to perform point selection for a plurality of times, generating a second random parameter set, a … … random parameter set and an Nth random parameter set, and performing corresponding simulation illumination simulation to obtain second simulation results, … … simulation results and Nth simulation results;
and calculating the second, … … and Nth simulation results to obtain second, … … and Nth environment correction parameters, and generating the environment correction parameter space based on the first environment correction parameters and the second, … … and Nth environment correction parameters.
Randomly selecting a point in the multidimensional parameter random space to generate a first group of random parameter sets, wherein the random parameter sets comprise a plurality of illumination influence factors such as weather conditions, seasonal changes, geographic positions and the like, the illumination influence factors are used for carrying out simulated illumination simulation, the first random parameter sets are input into the simulated illumination model to carry out simulated illumination simulation, a simulated illumination result of the first random parameter sets is obtained and is recorded as a first simulation result, corresponding environment correction parameters are calculated according to the first simulation result, the environment correction parameters can be positive values or negative values, correction amounts of the environment factors are represented, a point selection step length is set, and then the multidimensional parameter space is traversed for carrying out point selection for a plurality of times to generate a second, … … and Nth random parameter set. For each parameter group, carrying out simulated illumination simulation and obtaining a corresponding simulation result; and calculating corresponding environment correction parameters according to each simulation result. Then, based on these parameters and the first environmental correction parameter, generating a final environmental correction parameter space, which is used for illumination adjustment of the target area; comprehensively knowing the influencing factors of the illumination environment, constructing an effective simulated illumination model, and acquiring an environment correction parameter space. These results will provide an important reference for subsequent lighting fixture regulation and control, helping to achieve more accurate and intelligent outdoor lighting regulation and control.
Extracting N space points corresponding to N environment correction coefficients in the environment correction parameter space;
partitioning the N space points based on partition lighting requirements to generate a plurality of partitioned multidimensional spaces;
calculating and obtaining density coefficients and uniformity coefficients of a plurality of partitioned multidimensional spaces;
and if the density coefficient and the uniformity coefficient meet the preset density threshold and uniformity threshold, storing the partitioned multidimensional space into the environment correction parameter space.
N representative space points are extracted from the environment correction parameter space, the space points correspond to different environment correction coefficients, the space points are used for subsequent partition division and calculation of density coefficients and uniformity coefficients, the extracted N space points are divided into a plurality of partition multidimensional spaces according to partition illumination requirements, each partition multidimensional space corresponds to a specific functional partition and illumination requirement, and the density coefficients and uniformity coefficients of each partition multidimensional space are calculated. The density coefficient represents the density degree of the space points in the region, and the uniformity coefficient represents the uniformity degree of the space point distribution in the region; if the density coefficient and the uniformity coefficient both meet a preset density threshold and a preset uniformity threshold, the partition multidimensional space is stored in the environment correction parameter space, the corresponding partition multidimensional space can be stored in the final environment correction parameter space only when the density coefficient and the uniformity coefficient both meet the preset threshold, wherein the density coefficient and the uniformity coefficient of a plurality of partition multidimensional spaces are used for judging whether the generated correction coefficients are sufficiently dense, a plurality of space points are selected in the multidimensional space, each space point corresponds to an environment condition, in practical application, the illumination environment condition is not necessarily the point just selected, the value needs to be taken, such as the average value of the points of the neighborhood of the real points corresponding to the practical environment condition, if the density coefficient is too sparse, the accuracy of the value can be influenced, judgment is performed, and the requirements of different areas on the control precision are different, such as a medical area, an equipment maintenance area and the like. Therefore, the accuracy and reliability of the parameter space can be ensured, the environment correction parameter space is further optimized and verified, the partition lighting requirement and the preset density and uniformity threshold can be met, and an important reference is provided for the regulation and control of the lighting equipment for the final environment correction parameter space.
If any one of the density coefficient and the uniformity coefficient does not meet the preset density threshold and uniformity threshold, generating a space updating instruction;
based on the space updating instruction, performing compensation point selection on the partition multidimensional space, and performing iterative updating to obtain an updated partition multidimensional space;
if the updated partition multidimensional space meets iteration update constraint, recalculating and obtaining the density coefficient and the uniformity coefficient of the updated partition multidimensional space, judging until the density coefficient and the uniformity coefficient of the updated partition multidimensional space meet the preset density threshold and uniformity threshold, and storing the updated partition multidimensional space into the environment correction parameter space.
If the calculated density coefficient or uniformity coefficient does not meet the preset threshold, a space update instruction is required to be generated, the space update instruction is used for guiding the update and optimization of the multi-dimensional space of the partition, compensation and point selection are performed in the multi-dimensional space of the partition according to the space update instruction, and iterative update is performed. The density and uniformity of the partitioned multidimensional space can be gradually improved through repeated iteration, so that the updated partitioned multidimensional space is obtained; for example, space points of the same functional area in the partitioned multidimensional space are selected for calculation and compensation, if the updated partitioned multidimensional space meets the iterative updating constraint, the density coefficient and the uniformity coefficient of the updated partitioned multidimensional space need to be recalculated and judged, if the coefficient meets the preset threshold, the updated partitioned multidimensional space is stored in the final environment correction parameter space, and the process is iterated until all constraint conditions are met. The accuracy and reliability of the environment correction parameter space are ensured. Through carrying out iterative updating and optimizing to the subregion multidimensional space that does not satisfy the threshold value, can gradually improve its density and degree of consistency, finally satisfy the threshold value requirement of predetermineeing, help realizing more accurate and intelligent open-air illumination regulation and control.
According to the sensor layout scheme, configuring an ambient light sensor to form a light sensing network, wherein the light sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions;
the light sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions, each partition sensor cluster is responsible for monitoring and collecting illumination data of a specific functional partition, and illumination requirements of different functional partitions can be met more accurately and more detailed environment illumination information can be provided by means of the partition sensor clusters; the light sensing network not only improves the accuracy and efficiency of illumination regulation and control, but also is beneficial to realizing a more intelligent and self-adaptive open-air illumination system. Through real-time supervision and collection illumination data, can in time adjust lighting apparatus's running state, optimize the energy consumption, improve illumination quality, arrange scheme configuration environment illumination sensor according to the sensing and form the photoinduction network, through the mode of subregion sensor cluster, can satisfy different functional subregions's illumination demand better, improve the intelligent level of illumination regulation and control, realize more accurate, efficient open-air illumination regulation and control.
Acquiring historical operation data of a target area, and establishing a sample operation database, wherein the sample operation database comprises standard sample data and abnormal sample data;
the historical operating data can be used for training and optimizing the illumination regulation model, and improving the accuracy of prediction and decision making. The sample operation database should include up-to-standard sample data, which refers to data satisfying the lighting standard requirements, and abnormal sample data, which generally represent the state of the lighting device when it is operating normally. The abnormal sample data refers to data which does not meet the standard requirements and may indicate that the lighting equipment has faults, abnormal operation or other problems; by comparing the standard sample data with the abnormal sample data, the lighting operation condition of the target area can be deeply analyzed. For example, the cause, frequency, and trend of occurrence of abnormal data may be analyzed in order to discover and solve potential problems in time. The establishment of a sample operation database is an important basis for realizing self-adaptive open-air lighting regulation and control. By analyzing the historical data, the illumination running condition of the target area can be better known, and important references and bases are provided for subsequent regulation and control.
Acquiring an environment correction parameter space, wherein the environment correction parameter space is a multidimensional parameter space acquired based on simulation;
the environment correction parameter space is a multidimensional space, and comprises parameters of multiple dimensions, wherein the parameters comprise environmental factors such as weather conditions, geographic positions, time, seasonal changes and the like. By carrying out simulation on the parameters, the influence degree of the illumination environment under the target condition can be obtained, and then an environment correction parameter space is formed. By referring to the parameters and the correction coefficients in the environment correction parameter space, the running state of the lighting equipment can be timely adjusted to adapt to the dynamic change of the actual illumination environment, which is helpful for improving the illumination quality, optimizing the energy consumption and creating a more comfortable light environment for people. The multidimensional parameter space obtained based on simulation can provide valuable reference information for guiding intelligent regulation and control of the lighting equipment so as to meet the dynamic change requirement of the actual illumination environment.
Based on the environment correction parameter space, performing environment correction of the sample operation database to obtain a correction operation database;
and adjusting and optimizing the historical operation data by utilizing the information in the environment correction parameter space so as to more accurately reflect the operation condition of the actual illumination environment, and adjusting the data in the sample operation database according to the parameters and correction coefficients in the environment correction parameter space. For the abnormal sample data, the abnormal sample data can be corrected according to the environment correction parameters so as to be closer to the standard sample data, and for the standard sample data, certain adjustment can be performed according to the environment correction parameters so as to better reflect the dynamic change of the actual illumination environment. The sample operation database after the environmental correction is called a correction operation database. This database will more accurately reflect the lighting operation of the target area, providing a more reliable data base for subsequent lighting regulation. By utilizing the correction operation database, the regulation and control of the lighting equipment can be better guided, and the lighting quality and the energy utilization efficiency are improved.
And calling the correction operation database, constructing and training a self-adaptive illumination regulation decision model, and carrying out illumination regulation of the target area.
Relevant data are extracted from a correction operation database, the data comprise historical operation data, environment correction parameters and the like, an adaptive illumination regulation and control decision model is constructed according to the relevant data, intelligent decision and regulation are conducted on the adaptive illumination regulation and control decision model according to real-time data of an actual illumination environment and the environment correction parameters, the adaptive illumination regulation and control decision model is supervised, trained and verified by the aid of the data extracted from the correction database, prediction and decision accuracy of the illumination environment are gradually improved by the adaptive illumination regulation and control decision model, and parameters of the illumination environment, such as illumination intensity, color temperature and the like, and environmental data collected by a sensor are monitored in real time, and can be input into the adaptive illumination regulation and control decision model for processing. According to the output result of the model, parameters such as the switch and the brightness of the lighting equipment can be intelligently controlled so as to achieve the optimal illumination effect. By constructing and training the self-adaptive illumination regulation decision model and combining with data in the correction operation database, the illumination quality and the energy utilization efficiency can be effectively improved.
Acquiring an illumination regulation and control result through the light sensing network, wherein the illumination regulation and control result comprises illumination data and glare data;
performing illumination regulation and control evaluation based on the illumination data and the glare data to obtain an illumination regulation and control evaluation result, wherein the illumination regulation and control evaluation result comprises an illumination standard reaching rate, illumination uniformity, glare index and the like;
and carrying out feedback optimization of the self-adaptive lighting regulation decision model according to the lighting regulation evaluation result.
The light sensing network can be used for acquiring lighting regulation and control results in real time, wherein the results comprise illumination data and glare data, the illumination data represent the intensity and distribution of illumination, and the glare data represent the glaring degree of light rays on human eyes; based on the illuminance data and the glare data, an illumination regulation evaluation can be performed, thereby obtaining an illumination regulation evaluation result. The results comprise indexes such as illuminance standard-reaching rate, illuminance uniformity and glare index, wherein the illuminance standard-reaching rate represents the proportion of an actual illuminance value meeting standard requirements, the illuminance uniformity represents the uniformity and distribution condition of illuminance in different areas, and the glare index reflects the influence of glare on the visual comfort of people; and according to the illumination regulation and control evaluation result, the self-adaptive illumination regulation and control decision model can be subjected to feedback optimization. By comparing the difference between the actual lighting effect and the expected target, the problems and the defects of the model can be found, and then corresponding adjustment and optimization are performed. The illumination regulation and control result is obtained through the light sensing network, the illumination regulation and control evaluation is carried out, the self-adaptive illumination regulation and control decision model is subjected to feedback optimization according to the evaluation result, and the effect and the intelligent level of the self-adaptive open-air illumination regulation and control can be further improved through continuous optimization and improved models. The technical problem of the unified regulation and control of open-air illumination among the prior art, all areas illumination intensity is the same, the extravagant resource that leads to has been reached and has been extracted regional function subregion of target, acquires subregion illumination demand, through generating reasonable sensing layout scheme, improves the quality and the efficiency of illumination, the technological effect of energy saving.
As shown in fig. 3, embodiments of the present application include an adaptive outdoor lighting regulation system comprising:
the sensing layout scheme generation module 11 is used for extracting functional partitions of a target area, acquiring partition lighting requirements and generating a sensing layout scheme;
the optical sensing network forming module 12 is configured to configure an ambient light sensor according to the sensing layout scheme to form an optical sensing network, where the optical sensing network includes partitioned sensor clusters corresponding to a plurality of functional partitions;
a sample operation database establishing module 13, wherein the sample operation database establishing module 13 is used for acquiring historical operation data of a target area and establishing a sample operation database, and the sample operation database comprises standard sample data and abnormal sample data;
the environment correction parameter space acquisition module 14 is configured to acquire an environment correction parameter space, where the environment correction parameter space is a multidimensional parameter space acquired based on simulation;
a correction operation database obtaining module 15, where the correction operation database obtaining module 15 is configured to perform environmental correction of the sample operation database based on the environmental correction parameter space, to obtain a correction operation database;
and the illumination regulation and control module 16 is used for calling the correction operation database, constructing and training a self-adaptive illumination regulation and control decision model and carrying out illumination regulation and control on a target area.
Further, the embodiment of the application further comprises:
the sensor network configuration acquisition module is used for acquiring the current sensor network configuration of the target area;
the sensing acquisition constraint acquisition module is used for acquiring sensing acquisition constraints according to the partition lighting requirements;
the configuration verification result acquisition module is used for verifying the configuration of the current sensor network by using the sensing acquisition constraint to acquire a configuration verification result;
the sensor layout scheme generation module is used for updating the sensor network configuration based on the configuration verification result to generate a sensor layout scheme.
Further, the embodiment of the application further comprises:
the illumination environment influence factor determining module is used for determining illumination environment influence factors;
the multi-dimensional parameter space forming module is used for determining an influence factor range according to the illumination environment influence factors to form a multi-dimensional parameter space;
the simulation lighting model building module is used for building a simulation lighting model based on a lighting expert system;
the environment correction parameter space acquisition module is used for traversing random points in the multidimensional parameter space and performing simulated illumination simulation to acquire the environment correction parameter space.
Further, the embodiment of the application further comprises:
the random parameter set generation module is used for randomly selecting points in the multidimensional parameter space to generate a first random parameter set;
the simulation lighting simulation module is used for initializing a simulation lighting model by the first random parameter set and performing simulation lighting simulation to obtain a first simulation result;
the environment correction parameter calculation module is used for calculating a first environment correction parameter based on the first simulation result, wherein the first environment correction parameter comprises a positive value and a negative value;
the point selection step length preset module is used for presetting a point selection step length, traversing the multidimensional parameter space for selecting points for a plurality of times, generating second, … … and Nth random parameter sets, and carrying out corresponding simulated illumination simulation to obtain second, … … and Nth simulation results;
and the environment correction parameter space generating module is used for calculating the second, … … and Nth simulation results, obtaining second, … … and Nth environment correction parameters, and generating the environment correction parameter space based on the first environment correction parameters and the second, … … and Nth environment correction parameters.
Further, the embodiment of the application further comprises:
the space point extraction module is used for extracting N space points corresponding to N environment correction coefficients in the environment correction parameter space;
the partition multidimensional space generation module is used for partitioning the N space points based on partition illumination requirements to generate a plurality of partition multidimensional spaces;
the density and uniformity coefficient acquisition module is used for calculating and acquiring density coefficients and uniformity coefficients of the partitioned multidimensional spaces;
the partition multidimensional space storing module is used for storing the partition multidimensional space into the environment correction parameter space if the density coefficient and the uniformity coefficient meet a preset density threshold and a preset uniformity threshold.
Further, the embodiment of the application further comprises:
the spatial update instruction generation module is used for generating a spatial update instruction if any one of the density coefficient and the uniformity coefficient does not meet the preset density threshold and uniformity threshold;
the updating partition multidimensional space acquisition module is used for carrying out compensation point selection on the partition multidimensional space based on the space updating instruction, and carrying out iterative updating to acquire the updating partition multidimensional space;
and the iteration updating module is used for recalculating and acquiring the density coefficient and the uniformity coefficient of the updated partition multidimensional space if the updated partition multidimensional space meets iteration updating constraint, judging until the density coefficient and the uniformity coefficient of the updated partition multidimensional space meet the preset density threshold and uniformity threshold, and storing the updated partition multidimensional space into the environment correction parameter space.
Further, the embodiment of the application further comprises:
the illumination regulation and control result acquisition module is used for acquiring an illumination regulation and control result through the light sensing network, wherein the illumination regulation and control result comprises illumination data and glare data;
the illumination regulation and control evaluation result acquisition module is used for carrying out illumination regulation and control evaluation based on the illumination data and the glare data to acquire an illumination regulation and control evaluation result, wherein the illumination regulation and control evaluation result comprises an illumination standard reaching rate, illumination uniformity, glare index and the like;
and the self-adaptive illumination regulation decision feedback optimization module is used for carrying out feedback optimization of the self-adaptive illumination regulation decision model according to the illumination regulation evaluation result.
For specific embodiments of an adaptive outdoor lighting control method and system, reference may be made to the above embodiments of an adaptive outdoor lighting control method and method, and details thereof are not repeated herein. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of an adaptive outdoor lighting regulation method and system when the computer program is executed.
In one embodiment, a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of an adaptive outdoor lighting regulation method and system.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. An adaptive outdoor lighting regulation method, the method comprising:
extracting a target area functional partition, acquiring partition lighting requirements, and generating a sensing layout scheme;
according to the sensor layout scheme, configuring an ambient light sensor to form a light sensing network, wherein the light sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions;
acquiring historical operation data of a target area, and establishing a sample operation database, wherein the sample operation database comprises standard sample data and abnormal sample data;
acquiring an environment correction parameter space, wherein the environment correction parameter space is a multidimensional parameter space acquired based on simulation;
based on the environment correction parameter space, performing environment correction of the sample operation database to obtain a correction operation database;
and calling the correction operation database, constructing and training a self-adaptive illumination regulation decision model, and carrying out illumination regulation of the target area.
2. The method of claim 1, wherein extracting the target area functional partition, obtaining partition lighting requirements, and generating a sensor layout scheme, comprises:
acquiring the current sensor network configuration of a target area;
acquiring sensing acquisition constraints according to the partition lighting requirements;
verifying the configuration of the current sensor network by using the sensing acquisition constraint to obtain a configuration verification result;
based on the configuration verification result, updating the configuration of the sensor network, and generating a sensor layout scheme.
3. The method of claim 2, wherein obtaining an environment modification parameter space comprises:
determining illumination environment influence factors;
determining an influence factor range according to the illumination environment influence factors to form a multidimensional parameter space;
constructing a simulated lighting model based on a lighting expert system;
and traversing random points in the multidimensional parameter space, and performing simulated illumination simulation to obtain an environment correction parameter space.
4. The method of claim 3, wherein traversing random points in the multi-dimensional parameter space for simulated illumination to obtain an environment correction parameter space comprises:
randomly selecting points in the multidimensional parameter space to generate a first random parameter set;
initializing a simulated lighting model by using the first random parameter set, and performing simulated lighting simulation to obtain a first simulation result;
calculating a first environment correction parameter based on the first simulation result, wherein the first environment correction parameter comprises a positive value and a negative value;
presetting a point selection step length, traversing the multidimensional parameter space to perform point selection for a plurality of times, generating a second random parameter set, a … … random parameter set and an Nth random parameter set, and performing corresponding simulation illumination simulation to obtain second simulation results, … … simulation results and Nth simulation results;
and calculating the second, … … and Nth simulation results to obtain second, … … and Nth environment correction parameters, and generating the environment correction parameter space based on the first environment correction parameters and the second, … … and Nth environment correction parameters.
5. The method of claim 4, wherein the environment modification parameter space is generated based on the first environment modification parameter and the second, … …, nth environment modification parameter, the method further comprising:
extracting N space points corresponding to N environment correction coefficients in the environment correction parameter space;
partitioning the N space points based on partition lighting requirements to generate a plurality of partitioned multidimensional spaces;
calculating and obtaining density coefficients and uniformity coefficients of a plurality of partitioned multidimensional spaces;
and if the density coefficient and the uniformity coefficient meet the preset density threshold and uniformity threshold, storing the partitioned multidimensional space into the environment correction parameter space.
6. The method of claim 5, wherein the method further comprises:
if any one of the density coefficient and the uniformity coefficient does not meet the preset density threshold and uniformity threshold, generating a space updating instruction;
based on the space updating instruction, performing compensation point selection on the partition multidimensional space, and performing iterative updating to obtain an updated partition multidimensional space;
if the updated partition multidimensional space meets iteration update constraint, recalculating and obtaining the density coefficient and the uniformity coefficient of the updated partition multidimensional space, judging until the density coefficient and the uniformity coefficient of the updated partition multidimensional space meet the preset density threshold and uniformity threshold, and storing the updated partition multidimensional space into the environment correction parameter space.
7. The method of claim 1, wherein the method further comprises:
acquiring an illumination regulation and control result through the light sensing network, wherein the illumination regulation and control result comprises illumination data and glare data;
performing illumination regulation and control evaluation based on the illumination data and the glare data to obtain an illumination regulation and control evaluation result, wherein the illumination regulation and control evaluation result comprises an illumination standard reaching rate, illumination uniformity, glare index and the like;
and carrying out feedback optimization of the self-adaptive lighting regulation decision model according to the lighting regulation evaluation result.
8. An adaptive outdoor lighting regulation system, the system comprising:
the sensing layout scheme generation module is used for extracting functional partitions of the target area, acquiring partition lighting requirements and generating a sensing layout scheme;
the optical sensing network forming module is used for configuring an ambient light sensor according to the sensing layout scheme to form an optical sensing network, wherein the optical sensing network comprises partition sensor clusters corresponding to a plurality of functional partitions;
the system comprises a sample operation database establishing module, a sample operation database acquiring module and a sample operation database acquiring module, wherein the sample operation database establishing module is used for acquiring historical operation data of a target area and establishing a sample operation database, and the sample operation database comprises standard sample data and abnormal sample data;
the environment correction parameter space acquisition module is used for acquiring an environment correction parameter space, wherein the environment correction parameter space is a multidimensional parameter space acquired based on simulation;
the correction operation database acquisition module is used for carrying out environment correction on the sample operation database based on the environment correction parameter space to acquire a correction operation database;
and the illumination regulation and control module is used for calling the correction operation database, constructing and training a self-adaptive illumination regulation and control decision model and carrying out illumination regulation and control on the target area.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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