CN117939761A - Light guiding evacuation lighting method for emergency evacuation rescue - Google Patents
Light guiding evacuation lighting method for emergency evacuation rescue Download PDFInfo
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- H—ELECTRICITY
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- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The application provides a light guiding evacuation lighting method for emergency evacuation rescue, which relates to the technical field of emergency lighting and comprises the following steps: establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics; guiding light according to the structural region characteristic configuration path; establishing an abnormal planning network according to the regional characteristics; reading emergency response information, and analyzing and obtaining the emergency position and the emergency strength of the emergency response information; fitting emergency response information, and synchronizing a fitting result with a time sequence to a planning unit; according to the synchronous result, a planning result with time sequence nodes is generated, the path is controlled to guide light rays to conduct evacuation illumination guidance according to the planning result, the technical problem that the evacuation guiding effect is poor due to mismatching of planning control and emergency conditions of emergency illumination lamps in the prior art is solved, and the technical effect of improving the emergency evacuation guidance efficiency and accuracy is achieved.
Description
Technical Field
The application relates to the technical field of emergency lighting, in particular to a light guiding evacuation lighting method for emergency evacuation and rescue.
Background
With the rapid development of artificial intelligence technology and the internet of things, automated emergency treatment is introduced into the field of emergency treatment. When the disaster such as earthquake and fire disaster happens, the damage of the power equipment is easy to cause, and then the lighting stops working in a large crowd gathering area, and emergency lighting needs to be carried out by means of an emergency lighting lamp. But in the prior art, the planning control of the emergency lighting lamp is not matched with the emergency condition, so that the evacuation guiding effect is poor.
Disclosure of Invention
The application provides a light guiding evacuation lighting method for emergency evacuation and rescue, which is used for solving the technical problem of poor evacuation guiding effect caused by mismatching of planning control and emergency conditions of an emergency lighting lamp in the prior art.
According to a first aspect of the present application, there is provided a light-guided evacuation lighting method for emergency evacuation assistance, comprising: establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics; configuring path guiding light rays according to the characteristics of the structural area, wherein the path guiding light rays are guiding light rays, and at least one path guiding light ray is correspondingly arranged at a branch crossing of the evacuation area; establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network for executing the structural nodes; reading emergency response information, and analyzing and obtaining the emergency position and the emergency strength of the emergency response information; performing emergency response information fitting based on an emergency prediction unit of the abnormal planning network, and synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network; and generating a planning result with time sequence nodes according to the synchronous result, and controlling a path to guide light rays to carry out evacuation illumination guidance according to the planning result.
According to a second aspect of the present application, there is provided a light guided evacuation lighting system for emergency evacuation assistance, comprising: the system comprises an area feature establishing module, a first area feature generating module and a second area feature generating module, wherein the area feature establishing module is used for establishing area features of an evacuation area, and the area features comprise structural area features and dangerous area features; the path guiding light configuration module is used for configuring path guiding light according to the characteristics of the structural area, wherein the path guiding light is guiding light, and at least one path guiding light is correspondingly arranged at a branch crossing of the evacuation area; the abnormal planning network establishment module is used for establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network of the execution structure node; the emergency response information analysis module is used for reading the emergency response information and analyzing and obtaining the emergency position and the emergency strength of the emergency response information; the emergency response information fitting module is used for fitting emergency response information based on an emergency pre-estimating unit of the abnormal planning network and synchronizing a fitting result with a time sequence to a planning unit, and the planning unit is a sub-processing unit of the abnormal planning network; and the evacuation illumination guiding module is used for generating a planning result with a time sequence node according to the synchronous result, and guiding light rays to carry out evacuation illumination guiding according to the planning result control path.
According to one or more technical solutions adopted by the present application, the following beneficial effects are achieved:
Establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics, configuring path guiding light rays according to the structural regional characteristics, wherein the path guiding light rays are guiding light rays, at least one path guiding light ray is correspondingly arranged at a branch crossing of the evacuation region, establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network for executing structural nodes, reading emergency response information, analyzing and obtaining emergency positions and emergency intensity of the emergency response information, performing emergency response information fitting based on an emergency pre-estimating unit of the abnormal planning network, synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network, generating a planning result with a time sequence node according to the synchronizing result, and controlling the path guiding light rays to perform evacuation illumination guiding according to the planning result. The method comprises the steps of establishing an abnormal planning network based on regional characteristics of an evacuation region, fitting by combining emergency response information, and controlling a path to guide light to conduct evacuation illumination guidance according to a planning result with time sequence nodes, so that the technical effect of improving the efficiency and accuracy of emergency evacuation guidance is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the present application, and together with the description serve to explain the principle of the application, if not to limit the application, and to enable others skilled in the art to make and use the application without undue effort.
Fig. 1 is a schematic flow chart of a light guiding evacuation lighting method for emergency evacuation rescue according to an embodiment of the present application;
Fig. 2 is a schematic structural diagram of a light guiding evacuation lighting system for emergency evacuation and rescue according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a regional characteristic building module 11, a path guiding light configuration module 12, an abnormal planning network building module 13, an emergency response information analysis module 14, an emergency response information fitting module 15 and an evacuation illumination guiding module 16.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the application. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of a light guiding evacuation lighting method for emergency evacuation rescue according to an embodiment of the present application, where the method includes:
establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics;
The evacuation area is an area for people to evacuate and escape when a disaster occurs, the area characteristics of the evacuation area are established, the area characteristics comprise structural area characteristics and dangerous area characteristics, and the structural area characteristics are the composition structure of the evacuation area, such as a plurality of intersections in the evacuation area. The dangerous area features refer to the locations with potential safety hazards, such as the storage areas of dangerous objects including inflammable objects, toxic gases and the like.
Configuring path guiding light rays according to the characteristics of the structural area, wherein the path guiding light rays are guiding light rays, and at least one path guiding light ray is correspondingly arranged at a branch crossing of the evacuation area;
The structural area features refer to a composition structure of the evacuation area, for example, the evacuation area is provided with a plurality of intersections, path guiding light rays are configured according to the structural area features, namely, path guiding light rays are configured at each intersection, wherein the path guiding light rays are guiding light rays, the guiding light rays are emergency lighting equipment capable of continuously lighting, and at least one path guiding light ray is correspondingly arranged at a branch intersection of the evacuation area. The path guiding light rays can be used for guiding people to move correctly in the evacuation area, the path guiding light rays are arranged at the branch crossing of the evacuation area to indicate a correct evacuation path, and the path guiding light rays can be used for effectively guiding the people to move along the correct path so as to avoid the condition of confusion or danger in emergency.
Establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network for executing the structural nodes;
Specifically, firstly, according to the structural region characteristics and the dangerous region characteristics in the region characteristics, the characteristics of the intersection position, the dangerous region position, the direction, the distance and the like of the evacuation region are extracted, a network model is built by the characteristics, the model is formed by connecting a plurality of nodes, and each node represents a specific region or position, such as the intersection position, the dangerous goods storage position and the like.
Reading emergency response information, and analyzing and obtaining the emergency position and the emergency strength of the emergency response information;
Emergency response information refers to important information including the type of event, place of occurrence, range of influence, intensity, etc. of the emergency event, such as fire location, range, intensity, etc., and can be generally connected with a public safety information system to read the emergency response information or be uploaded after being acquired by staff. And further analyzing the emergency response information, namely extracting the occurrence place and the strength in the emergency response information as the emergency position and the emergency strength.
Performing emergency response information fitting based on an emergency prediction unit of the abnormal planning network, and synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network;
The emergency prediction unit may use the historical emergency response data and the current emergency response information to fit to predict future emergency response conditions, colloquially, call the historical emergency response data, where the historical emergency response data includes a historical emergency position and an emergency strength, and a historical emergency state change time sequence, that is, a position where the disaster condition changes with time, and then use various statistical methods and machine learning algorithms in the prior art to perform trend analysis on the historical emergency response data, for example, may use methods such as time series analysis, regression analysis, neural network, etc. in the prior art to build the emergency prediction unit, and embed the emergency prediction unit into the abnormal planning network. And then, based on the emergency prediction unit, carrying out emergency response information fitting, outputting a fitting result with time sequence and synchronizing to a planning unit, wherein the fitting result with time sequence is the change information of the emergency position at different time, and the planning unit is a sub-processing unit of the abnormal planning network. The planning unit formulates a time protection scheme according to the fitting result with the time sequence, for example, the planning unit determines the change condition of the emergency position along with time according to the fitting result with the time sequence, so as to determine the evacuation time of different positions, and the planning unit is used for reminding people in the evacuation area, assisting the people to move in the evacuation time and preventing safety accidents in the moving process.
In a preferred embodiment, further comprising:
After the emergency response information is input into the emergency prediction unit, performing independent development result fitting of the features through an independent fitting channel to generate an independent fitting result, wherein the independent fitting result is provided with a time sequence and a position mark; synchronizing the independent fitting result to a correlation fitting channel, and executing time sequence correlation fitting; and outputting the output result of the associated fitting channel as the fitting result.
After the emergency response information is input into the emergency prediction unit, performing independent development result fitting of features through an independent fitting channel, wherein the independent fitting channel refers to an independent processing path, namely the emergency response information possibly comprises a plurality of emergency positions and corresponding emergency intensities, independent analysis prediction is performed on each emergency position and corresponding emergency intensity, the change condition of the emergency positions along with time is analyzed, namely, the independent fitting channel is established by using methods such as time sequence analysis, regression analysis, neural network and the like in the prior art, independent analysis prediction is performed on each emergency position and corresponding emergency intensity through the independent fitting channel, and an independent fitting result is output, wherein the independent fitting result is provided with time sequence and position identification. And then synchronizing the independent fitting result to a correlation fitting channel, wherein the correlation fitting channel is a data integration path, namely, for the independent fitting result corresponding to the emergency position and the emergency intensity, according to the carried time sequence and the carried position identification, the correlation is established for the emergency position and the emergency intensity under the same time sequence, and the emergency position and the emergency intensity are fitted together, so that the correlation fitting of the time sequence is realized, the output result of the correlation fitting channel is the predicted emergency position and the emergency intensity under the same time sequence, and the output result of the correlation fitting channel is used as the fitting result. Therefore, the accuracy and the fitting precision of the fitting result are improved by performing the association fitting after the independent fitting of different features.
And generating a planning result with time sequence nodes according to the synchronous result, and controlling a path to guide light rays to carry out evacuation illumination guidance according to the planning result.
In the foregoing step, the fitting result with the time sequence is synchronized to the planning unit, and the synchronization result can be understood as the fitting result with the time sequence which is synchronously transmitted to the planning unit, further, the planning unit sets the illumination time of different positions under different time sequences as the planning result with the time sequence nodes according to the fitting result with the time sequence, and finally, the planning result controls the path to guide the light to conduct evacuation illumination guidance, namely, controls the path to guide the light to illuminate according to the planning result so as to guide the crowd in the evacuation area to move towards the exit or the safety area.
In a preferred embodiment, further comprising:
Establishing a sensor group, wherein the sensor group is constructed according to the regional characteristics and can be used for carrying out interactive data transmission; receiving real-time sensing data of the sensor group and generating correction parameters according to the real-time sensing data; and carrying out fitting compensation on the fitting result through the correction parameters, and obtaining a planning result with time sequence nodes according to the fitting compensation result.
Wherein generating the planning result with the time sequence node further comprises: the method comprises the steps of establishing a sensor group, wherein the sensor group is a sensor group which is constructed according to regional characteristics and can carry out interactive data transmission, and generally speaking, the sensor group is formed by arranging the sensor group at different intersection positions according to the regional characteristics, wherein the sensor is used for predicting emergency positions and strength, and the sensor is specifically required to be determined according to actual emergency types, such as a fire disaster can use a temperature sensor, an air quality sensor and the like. The real-time sensing data output by the sensor group is further received, and correction parameters are generated according to the real-time sensing data, in short, expected sensing data can be obtained according to a fitting result based on the prior art, comparison analysis is carried out on the real-time sensing data and the expected sensing data, the degree of difference between the real-time sensing data and the expected sensing data is used as the correction parameters, fitting compensation is carried out on the fitting result through the correction parameters, simple understanding is carried out, the correction parameters are multiplied by the fitting result, the fitting compensation result is obtained, and the fitting compensation result is the planning result with the time sequence nodes. Therefore, compensation analysis of fitting results is realized, accuracy of the fitting results is improved, accuracy of planning results is further improved, and evacuation guiding safety is improved.
In a preferred embodiment, further comprising:
Judging whether the sensor group has a signal loss result or not; if a signal loss result exists, generating prediction correction by taking a response position of emergency response information as a center and taking a connecting line of the center and a target sensor as a center moving direction, wherein the target sensor is a signal loss sensor; and obtaining the correction parameters according to the prediction correction.
Obtaining the correction parameters further includes: judging whether the sensor group has a signal loss result or not and whether the sensor cannot transmit signals or not, acquiring a difference set between the sensors and the sensor group according to the real-time sensing data matching data acquisition source, namely the corresponding sensor, if the difference set is an empty set, indicating that the signal loss result does not exist, otherwise, the signal loss result exists, and taking the sensor in the difference set as the signal loss sensor, namely the target sensor. If the signal loss result exists, the response position of the emergency response information is taken as the center, wherein the response position is the emergency position, the connecting line of the center and the target sensor is taken as the center moving direction, and the prediction correction is generated, namely, the center moving direction is certain to have emergency conditions, such as fire disaster migration, and the prediction correction is the center moving direction. The correction parameters are obtained according to the prediction correction, specifically, the correction parameters can be obtained according to the center moving direction and the degree of difference of the fitting result, so that the fitting result is corrected, and the accuracy of the fitting result is improved.
In a preferred embodiment, further comprising:
configuring image acquisition equipment in an evacuation area, and reading an initial image before emergency response information triggering; carrying out personnel distribution identification on the initial image to generate an initial distribution result; taking the initial distribution result as a newly added feature, inputting the abnormal planning network after incremental learning, and generating an updated planning result; and controlling a path to guide light rays to conduct evacuation lighting guidance according to the updated planning result.
Configuring an image acquisition device in an evacuation area, wherein the image acquisition device is a camera unmanned aerial vehicle and other devices in the prior art, monitoring the evacuation area in real time through the image acquisition device, and reading an initial image before emergency response information triggering, that is, the image acquisition device can acquire and store the image in the evacuation area in real time, the emergency response information is read, the reading time is recorded, and the image before the reading time is called as the initial image according to the image information stored by the image acquisition device. And further, the personnel distribution recognition is performed on the initial image, namely, the position of the personnel is recognized, the position coordinates of the personnel in the initial image in the image can be recognized through image recognition methods such as target recognition in the prior art, and the position coordinates of the image and the actual space position coordinates are further converted, so that the personnel distribution position can be obtained as an initial distribution result. It should be noted that, the image target recognition and the conversion of the image coordinates are common technical means for those skilled in the art, and are not developed here. The initial distribution result is used as a new feature, the abnormal planning network after incremental learning is input, an updated planning result is generated, the incremental learning is an existing machine learning method, the initial distribution result can be updated and improved on the basis of the original abnormal planning network, namely, the initial distribution result is input into the abnormal planning network after incremental learning, and the abnormal planning network can add personnel positions in the initial distribution result to the abnormal planning network to obtain the updated planning result. And controlling the path to guide the light to conduct evacuation illumination guidance according to the updated planning result, for example, the light can be guided to irradiate the position of the person needing evacuation by controlling parameters such as a light source, color, brightness and the like, so as to assist in finding a correct evacuation path and an outlet, and improve evacuation efficiency.
In a preferred embodiment, further comprising:
Continuous image acquisition is carried out on the image acquisition equipment, and a continuous image set with a time sequence is analyzed to generate a time congestion value; carrying out real-time correction on the planning result through the time congestion value, wherein the real-time correction comprises path decision correction and intersection guidance correction; and dynamically controlling the path to guide the light rays to carry out evacuation illumination guidance according to the real-time correction result.
And carrying out continuous image acquisition on the image acquisition equipment, namely carrying out image acquisition under continuous time, analyzing a continuous image set with a time sequence, wherein the continuous image set comprises images of a plurality of frames, each frame represents the state and personnel distribution condition of an evacuation area at different time points, carrying out personnel identification on each frame, and acquiring the personnel number and the passing direction of different intersections, wherein the personnel number and the passing direction are used as time congestion values. The planning result is further corrected in real time through the time congestion value, wherein the real-time correction comprises path decision correction and intersection guiding correction, the path decision correction refers to an intersection passing direction, and the path decision correction can be determined according to the obtained passing direction, such as left turn or right turn; the intersection guiding correction refers to the marking of different congestion conditions for intersections with two traffic directions and more, namely, the time congestion values in different directions, namely, the number of people in different directions, are used as intersection guiding correction, the number of people is smaller, namely, the direction with the lower time congestion value is used as an evacuation route in a planning result, and the evacuation route is used as a real-time correction result. And finally, dynamically controlling the path to guide the light rays to carry out evacuation illumination guidance according to the real-time correction result, namely carrying out evacuation guidance according to the corrected planning result, and improving the evacuation guidance efficiency.
In a preferred embodiment, further comprising:
Performing predictive fitting based on the fitting result with the time sequence to generate a predictive fitting result; configuring a time protection mechanism of a planning unit, and carrying out predictive control planning according to the time protection mechanism and the predictive fitting result; optimizing the planning result by predicting and controlling the planning result, and controlling the path to guide the light rays to carry out evacuation illumination guidance based on the optimized planning result.
And carrying out predictive fitting on the fitting result with time sequence to generate a predictive fitting result, wherein the predictive fitting refers to predicting the emergency time of the fitting result, and the existing machine learning model can be trained by acquiring the historical fitting result and the corresponding historical emergency time so as to train the convergent machine learning model to carry out predictive fitting on the fitting result and output the predictive fitting result. And further configuring a time protection mechanism of the planning unit, wherein the time protection mechanism is to set a certain time limit or time window for the planning unit so as to ensure that evacuation guidance is completed in a specific time, and the time protection mechanism and the prediction fitting result are used for performing prediction control planning, namely limiting the time protection mechanism by taking emergency time corresponding to the prediction fitting result as the time limit, and performing guidance light control at different positions within the time limit to obtain a prediction control planning result, wherein the prediction control planning result is a time limit control result of guidance lights at different positions. And finally, optimizing the planning result through the predictive control planning result, namely performing light guiding time planning on the planning result according to the time limit control result of the guiding light rays at different positions in the predictive control planning result, and obtaining the optimized planning result control path guiding light rays for evacuation illumination guidance. The emergency evacuation efficiency and the emergency evacuation accuracy are improved.
Based on the analysis, the one or more technical schemes provided by the application can achieve the following beneficial effects:
Establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics, configuring path guiding light rays according to the structural regional characteristics, wherein the path guiding light rays are guiding light rays, at least one path guiding light ray is correspondingly arranged at a branch crossing of the evacuation region, establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network for executing structural nodes, reading emergency response information, analyzing and obtaining emergency positions and emergency intensity of the emergency response information, performing emergency response information fitting based on an emergency pre-estimating unit of the abnormal planning network, synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network, generating a planning result with a time sequence node according to the synchronizing result, and controlling the path guiding light rays to perform evacuation illumination guiding according to the planning result. The method comprises the steps of establishing an abnormal planning network based on regional characteristics of an evacuation region, fitting by combining emergency response information, and controlling a path to guide light to conduct evacuation illumination guidance according to a planning result with time sequence nodes, so that the technical effect of improving the efficiency and accuracy of emergency evacuation guidance is achieved.
Example two
Based on the same inventive concept as the light-guided evacuation illumination method for emergency evacuation rescue in the foregoing embodiments, as shown in fig. 2, the present application further provides a light-guided evacuation illumination system for emergency evacuation rescue, the system comprising:
A regional feature creation module 11, where the regional feature creation module 11 is configured to create regional features of an evacuation region, where the regional features include structural regional features and dangerous regional features;
a path guiding light configuration module 12, where the path guiding light configuration module 12 is configured to configure path guiding light according to the structural region characteristics, the path guiding light is guiding light, and at least one path guiding light is correspondingly disposed at a branching intersection of the evacuation region;
The abnormal planning network establishment module 13 is configured to establish an abnormal planning network according to the regional characteristics, where the abnormal planning network is a guiding planning network for executing the structural nodes;
the emergency response information analysis module 14 is used for reading the emergency response information and analyzing the emergency position and the emergency strength of the emergency response information;
The emergency response information fitting module 15 is used for fitting emergency response information based on an emergency pre-estimating unit of the abnormal planning network, and synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network;
And the evacuation illumination guiding module 16 is used for generating a planning result with a time sequence node according to the synchronous result, and guiding light rays to carry out evacuation illumination guiding according to the planning result control path.
Further, the evacuation lighting guidance module 16 further includes:
configuring image acquisition equipment in an evacuation area, and reading an initial image before emergency response information triggering;
carrying out personnel distribution identification on the initial image to generate an initial distribution result;
Taking the initial distribution result as a newly added feature, inputting the abnormal planning network after incremental learning, and generating an updated planning result;
and controlling a path to guide light rays to conduct evacuation lighting guidance according to the updated planning result.
Further, the evacuation lighting guidance module 16 further includes:
Continuous image acquisition is carried out on the image acquisition equipment, and a continuous image set with a time sequence is analyzed to generate a time congestion value;
Carrying out real-time correction on the planning result through the time congestion value, wherein the real-time correction comprises path decision correction and intersection guidance correction;
And dynamically controlling the path to guide the light rays to carry out evacuation illumination guidance according to the real-time correction result.
Further, the emergency response information fitting module 15 further includes:
after the emergency response information is input into the emergency prediction unit, performing independent development result fitting of the features through an independent fitting channel to generate an independent fitting result, wherein the independent fitting result is provided with a time sequence and a position mark;
Synchronizing the independent fitting result to a correlation fitting channel, and executing time sequence correlation fitting;
and outputting the output result of the associated fitting channel as the fitting result.
Further, the evacuation lighting guidance module 16 further includes:
Performing predictive fitting based on the fitting result with the time sequence to generate a predictive fitting result;
Configuring a time protection mechanism of a planning unit, and carrying out predictive control planning according to the time protection mechanism and the predictive fitting result;
optimizing the planning result by predicting and controlling the planning result, and controlling the path to guide the light rays to carry out evacuation illumination guidance based on the optimized planning result.
Further, the evacuation lighting guidance module 16 further includes:
Establishing a sensor group, wherein the sensor group is constructed according to the regional characteristics and can be used for carrying out interactive data transmission;
Receiving real-time sensing data of the sensor group and generating correction parameters according to the real-time sensing data;
And carrying out fitting compensation on the fitting result through the correction parameters, and obtaining a planning result with time sequence nodes according to the fitting compensation result.
Further, the evacuation lighting guidance module 16 further includes:
Judging whether the sensor group has a signal loss result or not;
If a signal loss result exists, generating prediction correction by taking a response position of emergency response information as a center and taking a connecting line of the center and a target sensor as a center moving direction, wherein the target sensor is a signal loss sensor;
and obtaining the correction parameters according to the prediction correction.
The specific example of the light guiding evacuation lighting method for emergency evacuation and rescue in the first embodiment is also applicable to the light guiding evacuation lighting system for emergency evacuation and rescue in this embodiment, and those skilled in the art can clearly know the light guiding evacuation lighting system for emergency evacuation and rescue in this embodiment through the foregoing detailed description of the light guiding evacuation lighting method for emergency evacuation and rescue, so that the details of this embodiment will not be described here for brevity.
It should be understood that the various forms of flow shown above, reordered, added or deleted steps may be used, as long as the desired results of the disclosed embodiments are achieved, and are not limiting herein.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.
Claims (8)
1. A light guided evacuation lighting method for emergency evacuation rescue, the method comprising:
establishing regional characteristics of an evacuation region, wherein the regional characteristics comprise structural regional characteristics and dangerous regional characteristics;
Configuring path guiding light rays according to the characteristics of the structural area, wherein the path guiding light rays are guiding light rays, and at least one path guiding light ray is correspondingly arranged at a branch crossing of the evacuation area;
establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network for executing the structural nodes;
reading emergency response information, and analyzing and obtaining the emergency position and the emergency strength of the emergency response information;
performing emergency response information fitting based on an emergency prediction unit of the abnormal planning network, and synchronizing a fitting result with a time sequence to a planning unit, wherein the planning unit is a sub-processing unit of the abnormal planning network;
And generating a planning result with time sequence nodes according to the synchronous result, and controlling a path to guide light rays to carry out evacuation illumination guidance according to the planning result.
2. The method of claim 1, wherein the method further comprises:
configuring image acquisition equipment in an evacuation area, and reading an initial image before emergency response information triggering;
carrying out personnel distribution identification on the initial image to generate an initial distribution result;
Taking the initial distribution result as a newly added feature, inputting the abnormal planning network after incremental learning, and generating an updated planning result;
and controlling a path to guide light rays to conduct evacuation lighting guidance according to the updated planning result.
3. The method of claim 2, wherein the method further comprises:
Continuous image acquisition is carried out on the image acquisition equipment, and a continuous image set with a time sequence is analyzed to generate a time congestion value;
Carrying out real-time correction on the planning result through the time congestion value, wherein the real-time correction comprises path decision correction and intersection guidance correction;
And dynamically controlling the path to guide the light rays to carry out evacuation illumination guidance according to the real-time correction result.
4. The method of claim 1, wherein the emergency response information fitting based on the emergency prediction unit of the anomaly planning network further comprises:
after the emergency response information is input into the emergency prediction unit, performing independent development result fitting of the features through an independent fitting channel to generate an independent fitting result, wherein the independent fitting result is provided with a time sequence and a position mark;
Synchronizing the independent fitting result to a correlation fitting channel, and executing time sequence correlation fitting;
and outputting the output result of the associated fitting channel as the fitting result.
5. The method of claim 1, wherein the method further comprises:
Performing predictive fitting based on the fitting result with the time sequence to generate a predictive fitting result;
Configuring a time protection mechanism of a planning unit, and carrying out predictive control planning according to the time protection mechanism and the predictive fitting result;
optimizing the planning result by predicting and controlling the planning result, and controlling the path to guide the light rays to carry out evacuation illumination guidance based on the optimized planning result.
6. The method of claim 1, wherein the method further comprises:
Establishing a sensor group, wherein the sensor group is constructed according to the regional characteristics and can be used for carrying out interactive data transmission;
Receiving real-time sensing data of the sensor group and generating correction parameters according to the real-time sensing data;
And carrying out fitting compensation on the fitting result through the correction parameters, and obtaining a planning result with time sequence nodes according to the fitting compensation result.
7. The method of claim 6, wherein the method further comprises:
Judging whether the sensor group has a signal loss result or not;
If a signal loss result exists, generating prediction correction by taking a response position of emergency response information as a center and taking a connecting line of the center and a target sensor as a center moving direction, wherein the target sensor is a signal loss sensor;
and obtaining the correction parameters according to the prediction correction.
8. A light guided evacuation lighting system for emergency evacuation rescue, characterized in that it is adapted to perform the steps of the method according to any one of claims 1 to 7, said system comprising:
the system comprises an area feature establishing module, a first area feature generating module and a second area feature generating module, wherein the area feature establishing module is used for establishing area features of an evacuation area, and the area features comprise structural area features and dangerous area features;
the path guiding light configuration module is used for configuring path guiding light according to the characteristics of the structural area, wherein the path guiding light is guiding light, and at least one path guiding light is correspondingly arranged at a branch crossing of the evacuation area;
the abnormal planning network establishment module is used for establishing an abnormal planning network according to the regional characteristics, wherein the abnormal planning network is a guiding planning network of the execution structure node;
The emergency response information analysis module is used for reading the emergency response information and analyzing and obtaining the emergency position and the emergency strength of the emergency response information;
The emergency response information fitting module is used for fitting emergency response information based on an emergency pre-estimating unit of the abnormal planning network and synchronizing a fitting result with a time sequence to a planning unit, and the planning unit is a sub-processing unit of the abnormal planning network;
and the evacuation illumination guiding module is used for generating a planning result with a time sequence node according to the synchronous result, and guiding light rays to carry out evacuation illumination guiding according to the planning result control path.
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