CN115294981A - Intelligent lighting lamp control system and method - Google Patents
Intelligent lighting lamp control system and method Download PDFInfo
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Abstract
The invention provides an intelligent lighting lamp control system and method, wherein the system comprises: the intelligent lighting control system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a first control semantic received by a first lamp for intelligent lighting control; the determining module is used for determining a first operation instruction for the first lamp based on the first control semantic; and the control module is used for correspondingly controlling the first lamp based on the first operation instruction. According to the intelligent lighting lamp control system and method, the lamp is controlled based on the first control semantic received by the intelligent lamp, the user does not need to actively walk to the position of the lamp control panel for input operation, convenience is improved, the intelligent lighting lamp control system and method are more intelligent, and meanwhile user experience is improved.
Description
Technical Field
The invention relates to the technical field of intelligent lamps, in particular to a system and a method for controlling an intelligent lighting lamp.
Background
At present, when a user needs to control an illuminating lamp, the user needs to actively walk to the input operation of the position of the lamp control panel, the convenience is low, meanwhile, the user is not intelligent enough, and the user experience is poor.
Therefore, a solution is needed.
Disclosure of Invention
The invention provides a smart lighting lamp control system and method, which are used for controlling a lamp based on a first control semantic received by a smart lamp without the need of an input operation that a user actively walks to the position of a lamp control panel, so that the convenience is improved, the intelligence is more realized, and the user experience is improved.
The invention provides an intelligent lighting lamp control system, which comprises:
the intelligent lighting control system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a first control semantic received by a first lamp for intelligent lighting control;
a determining module configured to determine a first operating instruction for the first luminaire based on the first control semantic;
and the control module is used for correspondingly controlling the first lamp based on the first operation instruction.
Preferably, the obtaining module performs the following operations:
acquiring a voice segment received by a microphone array preset in the first lamp;
and performing semantic analysis on the voice fragments based on a semantic analysis technology to obtain a plurality of first control semantics.
Preferably, the determining module performs the following operations:
inquiring a preset semantic-operation instruction library, determining control instructions in the first control semantic, and sequencing the control instructions based on the generation time of the control instructions to obtain a control instruction sequence;
acquiring the number of the control instructions in the obtained control instruction sequence;
when the number of the control instructions is 1, taking the corresponding control instruction as the first operation instruction;
when the number of the control instructions is larger than 1, acquiring an operation step corresponding to the control instruction sequence;
acquiring a preset operation logic analysis model;
judging whether the operation steps conform to operation logic or not based on the operation logic analysis model;
if the first operation instruction is matched with the second operation instruction, taking the corresponding control instruction as the first operation instruction;
if not, controlling the intelligent lighting lamp to send out a voice query based on a preset query rule;
acquiring a second control semantic of a reply voice of the user after the intelligent lighting lamp sends out a voice query;
and determining an adjusted adjusting instruction based on the second control semantic, and taking the adjusting instruction as the first operation instruction.
Preferably, wisdom light fixture control system still includes:
acquiring a habit operation instruction memorized by the intelligent lighting lamp and a first response time period corresponding to the habit operation instruction;
when the first response time period is reached every day, acquiring three-dimensional scanning data of an illumination area of the intelligent illumination lamp;
constructing a three-dimensional model of the illumination region based on the three-dimensional scan data;
judging whether a human body model exists in the three-dimensional model or not based on a model identification technology;
and if so, executing the corresponding habit operation instruction.
Preferably, the obtaining of the habit operation instruction memorized by the intelligent lighting fixture and the first response period corresponding to the habit operation instruction includes:
acquiring second operation instructions which are responded historically and a second response time period corresponding to the second operation instructions;
calculating the response times corresponding to the second operation instruction when the second response time interval is reached;
if the response times are larger than or equal to a preset first threshold value, taking the corresponding second operation instruction as a preselected habit operation instruction, and meanwhile, associating the corresponding second response time period with the corresponding preselected habit operation instruction;
pushing the preselected habit operation instruction and the second response time period associated with the preselected habit operation instruction to the corresponding user, and simultaneously acquiring reply information of the user;
analyzing the reply information, and judging whether the user sets the preselected habit operation instruction as a habit operation instruction or not;
if so, taking the corresponding preselected habit operation instruction as a habit operation instruction, and simultaneously taking the second response time period associated with the preselected habit operation instruction as the first response time period corresponding to the habit operation instruction.
Preferably, wisdom light fixture control system still includes:
acquiring a preset lighting partition schematic diagram, and determining a plurality of first sub-areas in the lighting partition schematic diagram;
when the first sub-area needing illumination is not specified in the first control semantic sent by a user, a preset microphone array is obtained, and meanwhile, a control voice signal of the user is received by the microphone array;
determining a second sub-area where the user is located based on the control voice signal;
inquiring a preset lighting partition-lamp library, and determining a second lamp corresponding to the second sub-area;
acquiring a third control semantic corresponding to the control voice signal;
and correspondingly controlling the second lamp based on the third control semantic.
Preferably, the determining, based on the control voice signal, the second sub-area where the user is located includes:
determining any first microphone from the microphone array, and establishing a space rectangular coordinate system by taking the first microphone as a coordinate origin;
acquiring a first signal received by the first microphone and a second signal received by a second microphone in the microphone array at the same moment, and acquiring a first noise signal of a first receiver of the first microphone and a second noise signal of a second receiver of the second microphone at the same time;
determining a difference in arrival time of the control speech signal at the first microphone and the second microphone based on the first signal, the second signal, the first noise signal, and the second noise signal;
acquiring the propagation speed of the control voice signal;
calculating the distance difference of the control voice signal to the first microphone and the second microphone based on the propagation speed and the arrival time difference, and associating the control voice signal with the corresponding second microphone;
acquiring a first coordinate of the first microphone in the space rectangular coordinate system and a second coordinate of the second microphone in the space rectangular coordinate system;
drawing a hyperbola according to the first coordinate, the second coordinate and the arrival time difference associated with the second microphone based on a preset drawing rule;
and determining a third coordinate of the intersection point of the hyperbolas in the space rectangular coordinate system, and taking a third subarea of the lighting subarea corresponding to the third coordinate as a second subarea where the user is located.
Preferably, the intelligent lighting fixture control system further comprises:
analyzing the control voice signal sent by the user to obtain a plurality of third operation instructions;
judging whether the third operation instruction is a light supplement operation instruction or not;
if so, acquiring a preset light supplement robot distribution diagram, and determining a light supplement robot closest to a first position in a second sub-area corresponding to the third coordinate from the light supplement robot distribution diagram;
acquiring a second position of the light supplementing robot in the second sub-area, and acquiring a regional map of the second sub-area;
planning an optimal path of the first location and the second location in the area map based on a path planning technique;
controlling the light supplementing robot to go to the first position based on the optimal path;
when the light supplementing robot reaches the first position, reminding the user to indicate an area needing light supplementing based on a preset reminding rule;
acquiring first reaction information of the user;
analyzing the first reaction information, and judging whether the user receives a prompt;
if yes, dynamically acquiring the sight direction of the user;
constructing a first direction vector based on the gaze direction;
dynamically acquiring the light projection direction of the light projected by the light supplementing robot;
constructing a second direction vector based on the light projection direction;
calculating an included angle between the first direction vector and the second direction vector;
when the included angle is larger than a preset included angle threshold value, acquiring the moving direction and the moving speed of the sight line direction;
and controlling the light supplementing robot to dynamically project the light rays based on the moving direction and the moving speed until the user sends a light supplementing stopping instruction.
Preferably, the intelligent lighting fixture control system further comprises:
acquiring first state information of the first lamp in real time;
performing feature extraction on the first state information to obtain a plurality of first state feature values;
classifying the first state characteristic value based on a preset state characteristic value classification rule to obtain different first state types and second state characteristic values corresponding to the first state types;
arranging the second state characteristic values according to the extraction sequence to obtain a plurality of discrete third state characteristic values;
performing continuous processing on the third state characteristic value to obtain a first state change curve of the first state type;
acquiring a preset state type-standard change curve library, wherein the state type-standard change curve library comprises: a plurality of one-to-one corresponding second state types and standard change curves, and matching the first state types with the second state types;
if the matching is in accordance with the second state change curve, determining the second state change curve in accordance with the matching;
calculating the difference degree of the first state change curve and the second state change curve;
if the difference degree is larger than or equal to a preset difference degree threshold value, taking the corresponding first state type as an abnormal state type;
and performing corresponding early warning on corresponding users based on the abnormal state types.
The invention provides an intelligent lighting lamp control method, which comprises the following steps:
step 1: acquiring a first control semantic received by a first lamp for intelligent lighting control;
step 2: determining a first operating instruction for the first luminaire based on the first control semantic;
and 3, step 3: and correspondingly controlling the first lamp based on the first operation instruction.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of an intelligent lighting fixture control system according to an embodiment of the present invention;
fig. 2 is a flowchart of a control method of an intelligent lighting fixture according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
The invention provides an intelligent lighting lamp control system, as shown in fig. 1, comprising:
the intelligent lighting control system comprises an acquisition module 1, a control module and a control module, wherein the acquisition module is used for acquiring a first control semantic received by a first lamp for intelligent lighting control;
a determining module 2, configured to determine, based on the first control semantic, a first operation instruction for the first luminaire;
and the control module 3 is used for correspondingly controlling the first lamp based on the first operation instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of obtaining a first control semantic received by a first lamp for intelligent lighting control (the first control semantic received by the first lamp, for example, the light is too dark), determining a first operation instruction (for example, the brightness of the first lamp is improved) based on the first control semantic, and controlling the first lamp to execute the first operation instruction.
The embodiment of the invention controls the lamp based on the first control semantic received by the intelligent lamp, and does not need the input operation of actively walking to the position of the lamp control panel by a user, thereby improving convenience, being more intelligent and improving user experience.
The embodiment of the invention provides an intelligent lighting lamp control system, wherein an acquisition module 1 executes the following operations:
acquiring voice fragments received by a microphone array preset in the intelligent lighting lamp;
and performing semantic analysis on the voice fragments based on a semantic analysis technology to obtain a plurality of first control semantics.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of obtaining voice fragments received by a preset microphone array (acoustic sensors with preset number, specifically 3), and obtaining first control semantics corresponding to the received voice fragments based on a semantic analysis technology (the semantic analysis technology belongs to the prior art, and the principle is not repeated).
The embodiment of the invention performs semantic analysis on the voice fragments received by the microphone to obtain the first control semantic, thereby improving the accuracy of obtaining the first control semantic.
The embodiment of the invention provides an intelligent lighting lamp control system, wherein a determining module 2 executes the following operations:
querying a preset semantic-operation instruction library, determining a control instruction in the first control semantic, and sequencing the control instruction based on the generation time of the control instruction to obtain a control instruction sequence;
acquiring the number of the control instructions in the obtained control instruction sequence;
when the number of the control instructions is 1, taking the corresponding control instruction as the first operation instruction;
when the number of the control instructions is larger than 1, acquiring an operation step corresponding to the control instruction sequence;
acquiring a preset operation logic analysis model;
judging whether the operation steps conform to operation logic or not based on the operation logic analysis model;
if the first operation instruction is matched with the second operation instruction, taking the corresponding control instruction as the first operation instruction;
if the intelligent lighting lamp does not accord with the preset inquiry rule, controlling the intelligent lighting lamp to send out a voice inquiry;
acquiring a second control semantic of a reply voice of the user after the intelligent lighting lamp sends out a voice query;
and determining an adjusted adjusting instruction based on the second control semantic, and taking the adjusting instruction as the first operating instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
and determining a control instruction of the first control semantic according to the first control semantic based on a preset semantic-operation instruction library (database, which stores a plurality of semantics and corresponding operation instructions). And acquiring the generation time of the control instruction, and sequencing the control instruction according to the sequence of the generation time to obtain a control instruction sequence.
When only one control instruction is 1 in the control instruction sequence, directly taking the corresponding control instruction as a first operation instruction; when a plurality of control instructions exist, a preset operation logic analysis model is used for training the neural network model based on a plurality of records for manually analyzing the operation logics of the control instructions as training data, the neural network model is trained to a converged neural network model, whether operation steps in a control instruction sequence are in accordance with logic is judged, if not, the user voice is inquired based on a preset inquiry rule (for example, a microphone arranged in a control lamp is used for voice broadcast, the inquiry is required to judge whether the instruction is in accordance with the conventional logic and the follow-up execution is not in accordance with the conventional logic, namely, two contradictory control instructions in the control semantics (for example, turning on the lamp and turning off the lamp is required and whether the adjustment is required) are obtained, the second control semantics of the reply voice of the inquired user (for example, the lamp is confirmed) is obtained, the adjusted semantic adjustment of the user is obtained based on the second control semantics, and the adjusted adjustment instruction is used as the first operation instruction.
According to the embodiment of the invention, when the first operation instruction is obtained, the logic analysis is carried out on the control instruction sent by the user, so that the probability of executing the error instruction is reduced, and the method is more intelligent.
The embodiment of the invention provides an intelligent lighting lamp control system, which further comprises:
acquiring a habit operation instruction memorized by the intelligent lighting lamp and a first response time period corresponding to the habit operation instruction;
when the first response time period is reached every day, acquiring three-dimensional scanning data of an illumination area of the intelligent illumination lamp;
constructing a three-dimensional model of the illumination region based on the three-dimensional scan data;
judging whether a human body model exists in the three-dimensional model or not based on a model identification technology;
and if so, executing the corresponding habit operation instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
the habitual operation instruction and the first response time period are specifically as follows: when the instruction set by the user reaches the first response time interval, the intelligent lamp executes the instruction, when the set first response time interval is reached every day, three-dimensional scanning data of the illumination area of the intelligent lamp is obtained (the three-dimensional scanning data can be obtained based on a three-dimensional scanner at a preset position), a three-dimensional model corresponding to the illumination area is constructed based on the three-dimensional scanning data, whether a person exists in the illumination area is judged based on a model identification technology (the model identification technology belongs to the prior art, the principle of the model identification technology is not repeated, and if the person exists in the illumination area, the habitual operation instruction is executed.
According to the embodiment of the invention, the lighting area when the first response time interval is reached is scanned, whether the lighting area is occupied or not is judged, whether the corresponding habit operation instruction is executed or not is judged based on the judgment result, and the waste of power resources caused by the fact that a habit operation instruction is set by a user and the user cannot reach the lighting scene (for example, the user does not go home after work) due to some special conditions and the habit operation instruction is executed is avoided.
The embodiment of the invention provides an intelligent lighting lamp control system, which is used for acquiring a habit operation instruction memorized by an intelligent lighting lamp and a first response time period corresponding to the habit operation instruction, and comprises the following steps:
acquiring second operation instructions which are responded historically and a second response time period corresponding to the second operation instructions;
calculating the response times corresponding to the second operation instruction when the second response time interval is reached;
if the response times are larger than or equal to a preset first threshold value, taking the corresponding second operation instruction as a preselected habit operation instruction, and meanwhile, associating the corresponding second response time period with the corresponding preselected habit operation instruction;
pushing the preselected habit operation instruction and the second response time period associated with the preselected habit operation instruction to a corresponding user, and simultaneously acquiring reply information of the user;
analyzing the reply information, and judging whether the user sets the preselected habit operation instruction as a habit operation instruction or not;
if so, taking the corresponding preselected habit operation instruction as a habit operation instruction, and simultaneously taking the second response time period associated with the preselected habit operation instruction as the first response time period corresponding to the habit operation instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
acquiring a second response time interval (acquired by a storage unit built in the intelligent lighting lamp) of a second operation instruction which responds historically and the second operation instruction, calculating the response times (for example, 10 times) of the second operation instruction (for example, 18: 00-18.
According to the embodiment of the invention, the second operation instruction repeatedly responding in the same time period is obtained, the pre-selection habit operation instruction is determined and pushed to the user, so that the accuracy of obtaining the pre-selection habit operation instruction is improved, and the pushing efficiency is improved.
The embodiment of the invention provides an intelligent lighting lamp control system, which further comprises:
acquiring a preset lighting partition schematic diagram, and determining a plurality of first sub-areas in the lighting partition schematic diagram;
when the first sub-area needing illumination is not specified in the first control semantic sent by a user, a preset microphone array is obtained, and meanwhile, a control voice signal of the user is received by the microphone array;
determining a second sub-area where the user is located based on the control voice signal;
inquiring a preset lighting partition-lamp library, and determining a second lamp corresponding to the second sub-area;
acquiring a third control semantic corresponding to the control voice signal;
and correspondingly controlling the second lamp based on the third control semantic.
The working principle and the beneficial effects of the technical scheme are as follows:
when a user controls a lamp, there are cases where only operations are performed and the lighting area is not specified, and if all lamps are operated blindly (for example, lamps in all lighting areas are turned on), unnecessary waste is caused, and thus, a solution is needed.
A plurality of first sub-regions in a preset lighting zone diagram (a diagram dividing a lighting area into a plurality of areas) is determined. The method comprises the steps of obtaining a control voice signal of a user received by a microphone array, determining a second sub-area in an illumination area where the user is located based on the control voice signal, inquiring a preset illumination subarea-lamp library (a database for storing a plurality of groups of sub-areas and corresponding relations of lamps configured in the sub-areas), and correspondingly controlling the second lamp based on a third control semantic.
According to the embodiment of the invention, when the user does not designate the lighting area, the second lamp at the corresponding position is controlled based on the position of the user, so that the reasonability is improved.
The embodiment of the invention provides an intelligent lighting lamp control system, which is used for determining the second subarea where the user is located based on the control voice signal and comprises the following steps:
determining any first microphone from the microphone array, and establishing a space rectangular coordinate system by taking the first microphone as a coordinate origin;
acquiring a first signal received by the first microphone and a second signal received by a second microphone in the microphone array at the same moment, and acquiring a first noise signal of a first receiver of the first microphone and a second noise signal of a second receiver of the second microphone at the same time;
determining a difference in arrival time of the control speech signal at the first microphone and the second microphone based on the first signal, the second signal, the first noise signal, and the second noise signal;
acquiring the propagation speed of the control voice signal;
calculating a difference in distance of the control speech signal to the first microphone and the second microphone based on the propagation velocity and the difference in arrival time, and associating with the corresponding second microphone;
acquiring a first coordinate of the first microphone in the space rectangular coordinate system and a second coordinate of the second microphone in the space rectangular coordinate system;
drawing a hyperbola according to the first coordinate, the second coordinate and the arrival time difference associated with the second microphone based on a preset drawing rule;
and determining a third coordinate of the intersection point of the hyperbolas in the rectangular space coordinate system, and taking a third sub-area of the lighting subarea corresponding to the third coordinate as a second sub-area where the user is located.
The working principle and the beneficial effects of the technical scheme are as follows:
when the second sub-area where the user is located is obtained, the time difference between sound signals arriving at different microphones can be used for positioning, and the calculation formula of the arrival time difference is as follows:
acquiring a first signal received by a first microphone and a second signal received by a second microphone at the same time, and acquiring a first noise signal of a first receiver of the first microphone and a second noise signal of a second receiver of the second microphone at the same time:
x 1 (t)＝s(t)+n 1 (t)
x 2 (t)＝s(t-Δτ)+n 2 (t)
wherein x is 1 (t) is the first signal at time t, s (t) is a control voice signal received by the first microphone at time t, n 1 (t) the first noise signal at time t，x 2 (t) is the second signal at time t, s (t-delta tau) is the control speech signal received by the second microphone at time t, n 2 (t) said second noise signal at time t, Δ τ Is the time difference of arrival;
introducing a correlation function, wherein the correlation function is specifically defined as:
wherein f is 1 (t) and f 2 (t) are two continuous signals of limited energy, R 12 (τ)，R 21 (τ) the footer number (12, 21) represents the signal lead τ corresponding to the previous number;
calculating a first signal x 1 (t) and a second signal x 2 (t) and assuming that the first signal, the second signal, the first noise and the second noise are uncorrelated with each other, obtaining:
wherein R is ss (Δ t- Δ τ) is a correlation function of the control speech signal s (t) received by the first microphone and the control speech signal s (t- Δ τ) received by the second microphone;
determining
And taking the value of the delta t at the maximum value as the arrival time difference delta tau.
Controlling the speed of propagation of speech signals based on time difference of arrival (e.g., 3 x 10) 8 m/s), calculating the distance difference, meanwhile, taking the position of the first microphone as the origin of coordinates, constructing a space rectangular coordinate system, and based on a preset drawing rule (taking the microphone as a focus and the distance difference as a long axis)As a hyperbola), drawing a hyperbola according to the first coordinate position of the first microphone, the second coordinate position of the second microphone and the distance difference, determining a position of the third coordinate corresponding to the intersection point of the hyperbola as a position for controlling the voice signal (i.e. the position of the user), and setting the region corresponding to the third coordinate as a third sub-region.
According to the embodiment of the invention, the arrival time difference of the voice signal to each microphone is determined by controlling the arrival time of the voice signal to different microphones, and the position of the voice signal is determined based on the calculated distance difference and the microphone position, so that the acquisition precision of the area where the user is located is improved, and the accuracy of area control is improved.
The embodiment of the invention provides an intelligent lighting lamp control system, which further comprises:
analyzing the control voice signal sent by the user to obtain a plurality of third operation instructions;
judging whether the third operation instruction is a light supplement operation instruction or not;
if so, acquiring a preset light supplement robot distribution diagram, and determining a light supplement robot closest to a first position in a second sub-area corresponding to the third coordinate from the light supplement robot distribution diagram;
acquiring a second position of the light supplementing robot in the second sub-area, and acquiring a regional map of the second sub-area;
planning an optimal path of the first location and the second location in the area map based on a path planning technique;
controlling the light supplementing robot to go to the first position based on the optimal path;
when the light supplementing robot reaches the first position, reminding the user to indicate an area needing light supplementing based on a preset reminding rule;
acquiring first reaction information of the user;
analyzing the first reaction information and judging whether the user receives a prompt;
if yes, dynamically acquiring the sight direction of the user;
constructing a first direction vector based on the gaze direction;
dynamically acquiring the light projection direction of the light projected by the light supplementing robot;
constructing a second direction vector based on the light projection direction;
calculating an included angle between the first direction vector and the second direction vector;
when the included angle is larger than a preset included angle threshold value, acquiring the moving direction and the moving speed of the sight line direction;
and controlling the light supplementing robot to dynamically project the light rays based on the moving direction and the moving speed until the user sends a light supplementing stopping instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, the lighting fixture is responsible for lighting a large area, because some objects are shielded, which inevitably results in some lighting blind areas, and therefore, a solution is needed.
Analyzing a control voice signal sent by a user, obtaining a third operation instruction (the operation instruction which the user wants to execute), judging whether the third operation instruction is the light supplementing instruction, and if so, determining a second position of the light supplementing robot closest to the first position (the position of the user) from a preset light supplementing robot distribution diagram (a distribution diagram dynamically showing the position of the light supplementing robot in the lighting area).
And acquiring a regional map of the second sub-region (a distribution map of a movable route in the second sub-region), planning an optimal path (a shortest path between the first position and the second position) between the first position and the second position in the regional map based on a path planning technology (the path planning technology belongs to the prior art, and the principle is not repeated), and controlling the light filling robot to select the optimal path to head to the first position.
After the light supplementing robot reaches the first position, reminding a user of indicating an area needing light supplementing based on a preset reminding rule (for example, controlling the light supplementing robot to broadcast in a voice mode, asking you to indicate the area needing light supplementing) to indicate the area needing light supplementing.
The method comprises the steps of obtaining first reaction information (for example, nodding) of a user, dynamically obtaining a sight line direction of the user if the user determines that a prompt is received (the sight line direction is obtained based on a sight line tracking technology, the sight line tracking technology belongs to the prior art, and the principle of the sight line direction is not repeated), constructing a first direction vector of the sight line direction, obtaining a light projection direction of a light supplementing robot and constructing a second direction vector, calculating an included angle (for example, 25 degrees) between the first direction vector and the second direction vector, obtaining a moving direction and a moving speed (for example, the moving direction is from left to right, and the moving speed is 0.5 m/s) of the sight line direction if the included angle is larger than a preset included angle threshold (for example, 30 degrees), controlling the light supplementing robot to dynamically follow, and projecting light at the same time until the user sends a light supplementing stopping instruction.
According to the embodiment of the invention, the light supplementing robot is controlled to dynamically supplement light to the light supplementing area indicated by the user based on the sight line direction of the user and the light projection direction of the light supplementing robot, so that the timeliness of the dynamic light supplementing is improved, and the flexibility of the light supplementing is improved.
The embodiment of the invention provides an intelligent lighting lamp control system, which further comprises:
acquiring first state information of the first lamp in real time;
performing feature extraction on the first state information to obtain a plurality of first state feature values;
classifying the first state characteristic value based on a preset state characteristic value classification rule to obtain different first state types and second state characteristic values corresponding to the first state types;
arranging the second state characteristic values according to the extraction sequence to obtain a plurality of discrete third state characteristic values;
carrying out continuous processing on the third state characteristic value to obtain a first state change curve of the first state type;
acquiring a preset state type-standard change curve library, wherein the state type-standard change curve library comprises: a plurality of one-to-one corresponding second state types and standard change curves, and matching the first state types with the second state types;
if the matching is in accordance with the second state change curve, determining the second state change curve in accordance with the matching;
calculating the difference degree of the first state change curve and the second state change curve;
if the difference degree is larger than or equal to a preset difference degree threshold value, taking the corresponding first state type as an abnormal state type;
and correspondingly early warning a preset second user based on the abnormal state type.
The working principle and the beneficial effects of the technical scheme are as follows:
the first state information obtained specifically includes: temperature information of the lamp, current information passing through the lamp, and the like are obtained based on a feature extraction technique, and a plurality of first state feature values (for example, the current is 1A) are obtained.
The preset state feature value classification specifically includes: according to the rule of classifying the state values according to the physical attributes of the state characteristic values, obtaining second state characteristic values (for example, the current is 1.5A) corresponding to different first state types (for example, current information) according to the state classification rule, and arranging and continuously processing the second state characteristic values according to the sequence of the extraction time to obtain a continuous first state change curve corresponding to the first state type.
The method comprises the steps of obtaining a standard change curve of a first state type in a preset state type-standard change curve (a database stores different state types and standard change curves corresponding to characteristic values, the standard change curve is obtained by performing linear fitting on the characteristic values of the different state types extracted when the lamp works normally historically), calculating the difference degree of the first state change curve and a second state change curve (the larger the difference degree is, the more likely the first state type is to be abnormal, determining that the first state type with the difference degree larger than or equal to a preset difference degree threshold value (for example, 10%) is abnormal, and performing fault reminding on a corresponding user.
The embodiment of the invention extracts the state characteristic values of different state types based on the characteristic extraction technology, continuously processes the state characteristic values corresponding to the same state type, compares the state characteristic values with a preset stake state curve, judges whether the state characteristic values are abnormal or not, and improves the rationality of abnormal judgment.
An embodiment of the present invention provides a method for controlling an intelligent lighting fixture, as shown in fig. 2, including:
step 1: acquiring a first control semantic received by a first lamp for intelligent lighting control;
step 2: determining a first operating instruction for the first luminaire based on the first control semantic;
and step 3: and correspondingly controlling the first lamp based on the first operation instruction.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An intelligent lighting fixture control system, comprising:
the intelligent lighting control system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a first control semantic received by a first lamp for intelligent lighting control;
a determining module configured to determine a first operating instruction for the first luminaire based on the first control semantic;
and the control module is used for correspondingly controlling the first lamp based on the first operation instruction.
2. The intelligent lighting fixture control system of claim 1, wherein the obtaining module performs the following operations:
acquiring voice fragments received by a microphone array preset in the first lamp;
and performing semantic analysis on the voice fragments based on a semantic analysis technology to obtain a plurality of first control semantics.
3. The intelligent lighting fixture control system of claim 1, wherein the determination module performs the following operations:
inquiring a preset semantic-operation instruction library, determining control instructions in the first control semantic, and sequencing the control instructions based on the generation time of the control instructions to obtain a control instruction sequence;
acquiring the number of the control instructions in the obtained control instruction sequence;
when the number of the control instructions is 1, taking the corresponding control instruction as the first operation instruction;
when the number of the control instructions is larger than 1, acquiring an operation step corresponding to the control instruction sequence;
acquiring a preset operation logic analysis model;
judging whether the operation steps conform to operation logic or not based on the operation logic analysis model;
if so, taking the corresponding control instruction as the first operation instruction;
if not, controlling the intelligent lighting lamp to send out a voice query based on a preset query rule;
acquiring a second control semantic of a reply voice of the user after the intelligent lighting lamp sends out a voice query;
and determining an adjusted adjusting instruction based on the second control semantic, and taking the adjusting instruction as the first operation instruction.
4. The intelligent lighting fixture control system of claim 1, further comprising:
acquiring a habit operation instruction memorized by the intelligent lighting lamp and a first response time period corresponding to the habit operation instruction;
when the first response time period is reached every day, acquiring three-dimensional scanning data of an illumination area of the intelligent illumination lamp;
constructing a three-dimensional model of the illumination region based on the three-dimensional scan data;
judging whether a human body model exists in the three-dimensional model or not based on a model identification technology;
and if so, executing the corresponding habit operation instruction.
5. The system as claimed in claim 4, wherein the obtaining of the habit operation command memorized by the intelligent lighting lamp and the first response period corresponding to the habit operation command comprises:
acquiring second operation instructions which are responded historically and a second response time period corresponding to the second operation instructions;
calculating the response times corresponding to the second operation instruction when the second response time interval is reached;
if the response times are larger than or equal to a preset first threshold value, taking the corresponding second operation instruction as a preselected habit operation instruction, and meanwhile, associating the corresponding second response time period with the corresponding preselected habit operation instruction;
pushing the preselected habit operation instruction and the second response time period associated with the preselected habit operation instruction to a corresponding user, and simultaneously acquiring reply information of the user;
analyzing the reply information, and judging whether the user sets the preselected habit operation instruction as a habit operation instruction or not;
if so, taking the corresponding preselected habit operation instruction as a habit operation instruction, and simultaneously taking the second response time period associated with the preselected habit operation instruction as the first response time period corresponding to the habit operation instruction.
6. The intelligent lighting fixture control system of claim 1, further comprising:
acquiring a preset lighting partition schematic diagram, and determining a plurality of first sub-areas in the lighting partition schematic diagram;
when the first sub-area needing illumination is not specified in the first control semantic sent by the user, acquiring a preset microphone array, and meanwhile, acquiring a control voice signal received by the microphone array;
determining a second sub-area where the user is located based on the control voice signal;
inquiring a preset lighting partition-lamp library, and determining a second lamp corresponding to the second sub-area;
acquiring a third control semantic corresponding to the control voice signal;
and correspondingly controlling the second lamp based on the third control semantic.
7. The intelligent lighting fixture control system of claim 6, wherein said determining the second sub-area where the user is located based on the control voice signal comprises:
determining any first microphone from the microphone array, and establishing a spatial rectangular coordinate system by taking the first microphone as a coordinate origin;
acquiring a first signal received by the first microphone and a second signal received by a second microphone in the microphone array at the same moment, and acquiring a first noise signal of a first receiver of the first microphone and a second noise signal of a second receiver of the second microphone at the same time;
determining a difference in arrival time of the control speech signal at the first microphone and the second microphone based on the first signal, the second signal, the first noise signal, and the second noise signal;
acquiring the propagation speed of the control voice signal;
calculating the distance difference of the control voice signal to the first microphone and the second microphone based on the propagation speed and the arrival time difference, and associating the control voice signal with the corresponding second microphone;
acquiring a first coordinate of the first microphone in the space rectangular coordinate system and a second coordinate of the second microphone in the space rectangular coordinate system;
drawing a hyperbola according to the first coordinate, the second coordinate and the arrival time difference associated with the second microphone based on a preset drawing rule;
and determining a third coordinate of the intersection point of the hyperbolas in the rectangular space coordinate system, and taking a third sub-area of the lighting subarea corresponding to the third coordinate as a second sub-area where the user is located.
8. The intelligent lighting fixture control system of claim 7, further comprising:
analyzing the control voice signal sent by the user to obtain a plurality of third operation instructions;
judging whether the third operation instruction is a light supplement operation instruction or not;
if so, acquiring a preset light supplement robot distribution diagram, and determining a light supplement robot closest to a first position in a second sub-area corresponding to the third coordinate from the light supplement robot distribution diagram;
acquiring a second position of the light supplementing robot in the second sub-area, and acquiring a regional map of the second sub-area;
planning an optimal path of the first location and the second location in the area map based on a path planning technique;
controlling the light supplementing robot to go to the first position based on the optimal path;
when the light supplementing robot reaches the first position, reminding the user to indicate an area needing light supplementing based on a preset reminding rule;
acquiring first reaction information of the user;
analyzing the first reaction information and judging whether the user receives a prompt;
if yes, dynamically acquiring the sight direction of the user;
constructing a first direction vector based on the gaze direction;
dynamically acquiring the light projection direction of the light projected by the light supplementing robot;
constructing a second direction vector based on the light projection direction;
calculating an included angle between the first direction vector and the second direction vector;
when the included angle is larger than a preset included angle threshold value, acquiring the moving direction and the moving speed of the sight line direction;
and controlling the light supplementing robot to dynamically project the light rays based on the moving direction and the moving speed until the user sends a light supplementing stopping instruction.
9. The intelligent lighting fixture control system of claim 1, further comprising:
acquiring first state information of the first lamp in real time;
performing feature extraction on the first state information to obtain a plurality of first state feature values;
classifying the first state characteristic value based on a preset state characteristic value classification rule to obtain different first state types and second state characteristic values corresponding to the first state types;
arranging the second state characteristic values according to the extracted sequence to obtain a plurality of discrete third state characteristic values;
carrying out continuous processing on the third state characteristic value to obtain a first state change curve of the first state type;
acquiring a preset state type-standard change curve library, wherein the state type-standard change curve library comprises: a plurality of one-to-one corresponding second state types and standard change curves, and matching the first state types with the second state types;
if the matching is in accordance with the second state change curve, determining the second state change curve in accordance with the matching;
calculating the difference degree of the first state change curve and the second state change curve;
if the difference degree is larger than or equal to a preset difference degree threshold value, taking the corresponding first state type as an abnormal state type;
and performing corresponding early warning on corresponding users based on the abnormal state types.
10. An intelligent lighting fixture control method, comprising:
step 1: acquiring a first control semantic received by a first lamp for intelligent lighting control;
step 2: determining a first operating instruction for the first luminaire based on the first control semantic;
and step 3: and correspondingly controlling the first lamp based on the first operation instruction.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117111516A (en) * | 2023-09-07 | 2023-11-24 | 江苏日兴汽车配件有限公司 | Intelligent control system and method for automobile indoor lamp |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117111516A (en) * | 2023-09-07 | 2023-11-24 | 江苏日兴汽车配件有限公司 | Intelligent control system and method for automobile indoor lamp |
| CN117111516B (en) * | 2023-09-07 | 2024-04-02 | 江苏日兴汽车配件有限公司 | Intelligent control system and method for automobile indoor lamp |
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