CN117452834A - Intelligent control system for LED illuminating lamp of museum - Google Patents

Intelligent control system for LED illuminating lamp of museum Download PDF

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Publication number
CN117452834A
CN117452834A CN202311774449.9A CN202311774449A CN117452834A CN 117452834 A CN117452834 A CN 117452834A CN 202311774449 A CN202311774449 A CN 202311774449A CN 117452834 A CN117452834 A CN 117452834A
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value
area
illumination
detection
period
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CN117452834B (en
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王博
齐妍
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Beijing Tiantu Design Engineering Co ltd
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Beijing Tiantu Design Engineering Co ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/50—Circuit arrangements for operating light-emitting diodes [LED] responsive to malfunctions or undesirable behaviour of LEDs; responsive to LED life; Protective circuits
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • 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
    • H05B47/105—Controlling the light source in response to determined parameters
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • 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
    • H05B47/155—Coordinated control of two or more light sources
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

The invention belongs to the technical field of lighting lamp supervision, in particular to an intelligent control system for a museum LED lighting lamp, which comprises a server, a museum detection and division module, a regional lighting monitoring module, a regional lighting coordination degree evaluation module, an intelligent control module and a background monitoring end; according to the invention, the analysis is performed through the museum detection and division module so as to mark the verification area i as a strong supervision area or a weak supervision area, the area illumination monitoring module performs running state deviation analysis on all the LED illumination lamps distributed in the verification area i, the intelligent control module performs intelligent control on all the LED illumination lamps in the museum, the automation and the intelligent degree are high, the illumination effect in the museum is effectively ensured, the detection and evaluation are performed on the coordination conditions of all the LED illumination lamps in the verification area i through the area illumination coordination degree evaluation module, the illumination coordination performance of corresponding LED illumination lamps in each area is ensured, and the illumination effect of each area in the museum is further improved.

Description

Intelligent control system for LED illuminating lamp of museum
Technical Field
The invention relates to the technical field of lighting lamp supervision, in particular to an intelligent control system for a museum LED lighting lamp.
Background
Museums are non-profit permanent institutions serving society, which are mainly used for researching, collecting, protecting, explaining and displaying substances and non-substance heritage, are open to the public, have accessibility and inclusion, operate and communicate in a manner of being ethical and professional, and provide multiple experiences for education, appreciation, thinking and knowledge sharing in the participation of communities; the lighting system of the museum often adopts a plurality of groups of LED lighting lamps to illuminate each area in the museum so as to enable visitors to see the exhibits clearly;
at present, when the LED illuminating lamps of the museum are controlled, the unified supervision mode is often adopted to carry out illumination supervision on all areas of the museum, the personnel performance conditions of different areas in the museum are difficult to adopt matched illumination supervision intensities, the illumination deviation conditions of all the LED illuminating lamps in corresponding areas cannot be detected, regulated and controlled one by one, the illumination matching conditions of the corresponding areas can not be accurately judged, the illumination effect of each area in the museum is not guaranteed, the management difficulty of management staff is increased, and the degree of automation and intelligence is low;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an intelligent control system for LED illuminating lamps of a museum, which solves the problems that the prior art is difficult to adopt matched illumination supervision intensity aiming at personnel performance conditions of different areas in the museum, the illumination deviation conditions of all the LED illuminating lamps in corresponding areas cannot be detected and regulated one by one, the illumination matching conditions of the corresponding areas can be accurately judged, and the degree of automation and intelligence is low.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the intelligent control system for the LED illuminating lamp of the museum comprises a server, a museum detection and division module, a regional illumination monitoring module, a regional illumination coordination degree evaluation module, an intelligent control module and a background monitoring end; the method comprises the steps that a server obtains an area needing supervision in a museum, the needed supervision area is divided into a plurality of sub-areas, the corresponding sub-areas are marked as verification areas i, and i is a natural number larger than 1; the museum detection and division module analyzes the visiting performance status of the personnel in the check area i, marks the check area i as a strong supervision area or a weak supervision area through analysis, and sends division mark information of the check area i to a server for storage;
the regional illumination monitoring module acquires the LED illumination lamps distributed in the verification region i, marks the corresponding LED illumination lamps as target lamp bodies u, and u is a positive number; the method comprises the steps that a target lamp body u is subjected to running state deviation analysis, an illumination deviation normal signal or an illumination deviation abnormal signal of the target lamp body u is generated through analysis, the illumination deviation abnormal signal and the corresponding target lamp body u are sent to an intelligent control module and a background monitoring end through a server, and the intelligent control module carries out adaptive regulation and control on the corresponding target lamp body u when receiving the illumination deviation abnormal signal; the regional illumination coordination degree evaluation module detects and evaluates the coordination conditions of all the LED illuminating lamps in the verification region i, generates a high coordination signal or a low coordination signal of the verification region i through analysis, and sends the low coordination signal and the corresponding verification region i to a background monitoring end through a server.
Further, the specific operation process of the museum detection and division module comprises the following steps:
setting a detection period with the number of days of T1, setting a plurality of detection periods in an open period of each day of the museum, acquiring people flow detection data and personnel residence data of a check area i corresponding to the detection periods, and carrying out numerical calculation on the people flow detection data and the personnel residence data to obtain an area characteristic value; acquiring the area flow area of the check area i, and calculating the ratio of the area characteristic value of the check area i in the corresponding detection period to the area flow area to obtain an area period detection value; performing mean value calculation and variance calculation on the regional period detection values of all the detection periods of the corresponding date of the verification region i to obtain a regional period detection table value and a regional period detection value, and respectively performing numerical comparison on the regional period detection table value and the regional period detection value and a preset regional period detection table threshold value and a preset regional period detection threshold value;
if the regional period detection table value exceeds the preset regional period detection table threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, marking the corresponding date as a high-heat date of the check region i; if the regional period detection value does not exceed the preset regional period detection threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, marking the corresponding date as a low-heat date of the check region i; the other cases are marked with corresponding dates as high-heat dates, medium-heat dates and low-heat dates of the check area i through multi-period comparison and integration analysis; carrying out numerical calculation on the high-heat date quantity, the medium-heat date quantity and the low-heat date quantity of the check area i in the detection period to obtain an area heat evaluation value, carrying out numerical comparison on the area heat evaluation value and a preset area heat evaluation threshold value, and marking the check area i as a strong supervision area if the area heat evaluation value exceeds the preset area heat evaluation threshold value; and if the regional heat evaluation value exceeds a preset regional heat evaluation threshold, marking the check region i as a weak supervision region.
Further, the specific analysis process of the multi-period comparison and integration analysis is as follows:
comparing the detection value of the area period corresponding to the detection period of the check area i with a preset detection threshold value of the area period, and if the detection value of the area period exceeds the detection threshold value of the preset area period, assigning a period judgment symbol SF-1 to the corresponding detection period; if the detection value of the regional period exceeds the detection threshold value of the preset regional period, a period judgment symbol SF-2 is allocated to the corresponding detection period; collecting the time period number of the check area i corresponding to the time period judgment symbol SF-1 in the corresponding date and marking the time period number as a high judgment time period table value, and collecting the time period number of the check area i corresponding to the time period judgment symbol SF-2 in the corresponding date and marking the time period number as a low judgment time period table value;
performing ratio calculation on the high judgment period table value and the low judgment period table value to obtain a high judgment number detection value, and performing numerical calculation on the high judgment number detection value and the regional period table value to obtain a regional daily detection value; comparing the regional daily value with a preset regional daily value range in a numerical mode, and marking the corresponding date as a high-heat date of the check region i if the regional daily value exceeds the maximum value of the preset regional daily value range; if the regional daily check value does not exceed the minimum value of the preset regional daily check value range, marking the corresponding date as the low-heat date of the check region i; if the regional daily check value is within the preset regional daily check value range, marking the corresponding date as the moderate date of the check region i.
Further, the specific analysis process of the running state deviation analysis is as follows:
acquiring a preset running mode of the target lamp body u at the current moment, and acquiring real-time running information of the target lamp body u at the current moment, wherein the real-time running information comprises luminous flux data, light intensity data and color temperature data, and calling corresponding preset luminous flux standard values, preset light intensity standard values and preset color temperature standard values from a server based on the running mode of the target lamp body u at the current moment; performing difference calculation on the luminous flux data and a preset luminous flux standard value to obtain a luminous flux detection value, obtaining a light intensity detection value and a color temperature detection value in a similar way, and performing numerical calculation on the luminous flux detection value, the light intensity detection value and the color temperature detection value to obtain a lamp segregation value;
obtaining all illumination segregation values of a target lamp body u in unit time, performing average calculation to obtain an illumination deviation table value, marking the duration that the illumination segregation value of the target lamp body u exceeds a preset illumination segregation threshold value in unit time as an illumination deviation value, and marking the illumination segregation value with the largest value of the target lamp body u in unit time as the illumination deviation value;
performing numerical calculation on the illumination deviation table value, the illumination deviation value and the illumination deviation value to obtain an illumination state deviation value, obtaining a preset illumination state deviation threshold value matched with the subarea where the target lamp body u is located, performing numerical comparison on the illumination state deviation value and the corresponding preset illumination state deviation threshold value, and generating an illumination polarization abnormal signal of the target lamp body u if the illumination state deviation value exceeds the preset illumination state deviation threshold value; and if the illumination state deviation value does not exceed the preset illumination state deviation threshold value, generating an illumination deviation normal signal of the target lamp body u.
Further, if the subarea where the target lamp body u is located is a strong supervision area, the value of the deviation threshold value of the preset illumination state matched with the subarea is ZP1; if the subarea where the target lamp body u is located is a weak supervision area, the value of the deviation threshold value of the preset illumination state matched with the subarea is ZP2, and ZP2 is more than ZP1 is more than 0.
Further, the specific operation process of the regional illumination coordination degree evaluation module comprises the following steps:
the method comprises the steps of obtaining the number of LED illuminating lamps corresponding to an illumination deviation-transporting abnormal signal in unit time of a check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, obtaining the number of the LED illuminating lamps corresponding to an illumination deviation-transporting normal signal in unit time of the check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, and carrying out ratio calculation on the illumination deviation-detecting value and the illumination deviation-detecting value to obtain the illumination deviation-detecting value; performing numerical calculation on the illumination abnormal detection value and the illumination abnormal detection value to obtain an area illumination abnormal evaluation value, performing numerical comparison on the area illumination abnormal evaluation value and a preset area illumination abnormal evaluation threshold value, and judging the matching state difference of all the LED illuminating lamps in the verification area i in unit time if the area illumination abnormal evaluation value exceeds the preset area illumination abnormal evaluation threshold value; if the regional illumination difference evaluation value does not exceed the preset regional illumination difference evaluation threshold value, judging that the matching state of all the LED illuminating lamps in the verification region i in unit time is good;
setting a coordination monitoring period, marking the time for judging that the coordination states of all the LED illuminating lamps in the verification area i are good in the coordination monitoring period as the irradiation judging time, marking the times for judging the coordination state differences of all the LED illuminating lamps in the verification area i in the interval time of two adjacent irradiation judging times as coordination difference table values, carrying out mean value calculation on all the coordination difference table values in the coordination monitoring period to obtain coordination difference analysis values, and marking the coordination difference table value with the largest numerical value in the coordination monitoring period as the coordination difference value; the method comprises the steps of carrying out ratio calculation on the times of judging the matching state differences of all the LED illuminating lamps in a checking area i in a matching monitoring period and the times of judging the good matching states of all the LED illuminating lamps in the checking area i to obtain a matching detection value, and carrying out numerical calculation on the matching detection value, the matching analysis value and the matching difference value to obtain an area matching coefficient; acquiring a preset region matching coefficient threshold matched with the verification region i, comparing the region matching coefficient of the verification region i with a corresponding preset region matching coefficient threshold in a numerical mode, and generating a low matching signal of the verification region i if the region matching coefficient exceeds the preset region matching coefficient threshold; and if the region matching coefficient does not exceed the preset region matching coefficient threshold value, generating a high matching signal of the check region i.
Further, if the check area i is a strong supervision area, the value of the matching coefficient threshold of the preset area matched with the check area i is XF1; if the check area i is a weak supervision area, the value of the matching coefficient threshold of the preset area matched with the check area i is XF2, and XF2 is more than XF1 and more than 0.
Further, the server is in communication connection with the illumination lamp risk detection module, the illumination lamp risk detection module carries out risk detection analysis on a target lamp body u in a checking area i, acquires temperature real-time data and temperature increase real-time rate of the target lamp body u, carries out numerical comparison on the temperature real-time data and the temperature increase real-time rate and a preset temperature real-time data threshold and a preset temperature increase real-time rate threshold respectively, and generates a risk early warning signal of the target lamp body u if the temperature real-time data or the temperature increase real-time rate exceeds the corresponding preset threshold;
if the temperature real-time data and the temperature increase real-time rate do not exceed the corresponding preset thresholds, acquiring the running power and the running energy consumption of the target lamp body u, calculating the ratio of the running energy consumption to the running power to obtain the running consumption real-time data, comparing the running consumption real-time data with the preset running consumption real-time data threshold in a numerical value manner, and if the running consumption real-time data exceeds the preset running consumption real-time data threshold, generating a running risk early warning signal of the target lamp body u; and the risk early warning signal and the corresponding target lamp u are sent to the background monitoring end through the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the personnel visit performance of the checking area i is analyzed through the museum detection and division module to mark the checking area i as a strong supervision area or a weak supervision area so as to apply different supervision intensities and supervision measures to the LED illumination lamps in different areas, so that the management difficulty is reduced, all the LED illumination lamps distributed in the checking area i are subjected to running state deviation analysis through the area illumination monitoring module, illumination bias normal signals or illumination bias abnormal signals corresponding to the LED illumination lamps are generated through analysis, the intelligent control module is used for carrying out adaptive regulation and control on the LED illumination lamps corresponding to the illumination bias abnormal signals, intelligent control on all the LED illumination lamps in the museum is realized, the degree of automation and the degree of intelligence are high, and the illumination effect in the museum is effectively ensured;
2. according to the invention, the matching conditions of all the LED illuminating lamps in the checking area i are detected and evaluated through the area illumination matching degree evaluation module, and the high matching signal or the low matching signal of the checking area i is generated through analysis, so that the illumination matching performance of the corresponding LED illuminating lamps in each subarea is ensured, and the illumination effect of each subarea in the museum is obviously improved; and carry out fortune risk detection analysis with all LED lamps in the check area i through the light fortune risk detection module to the operation risk situation of all LED lamps is accurately judged, so that the manager in time carries out inspection maintenance to corresponding LED lamps, guarantees the safe operation of all LED lamps in the museum, further guarantees the illuminating effect in the museum.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a system block diagram of a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the intelligent control system for the LED illumination lamp of the museum provided by the invention comprises a server, a museum detection and division module, a regional illumination monitoring module, an intelligent control module and a background supervision end, wherein the server is in communication connection with the museum detection and division module, the regional illumination monitoring module, the intelligent control module and the background supervision end, and the intelligent control module is used for intelligently controlling all the LED illumination lamps in the museum; the method comprises the steps that a server obtains an area needing supervision in a museum, the needed supervision area is divided into a plurality of sub-areas, the corresponding sub-areas are marked as verification areas i, and i is a natural number larger than 1;
the museum detection and division module analyzes the personnel visit performance condition of the check area i, marks the check area i as a strong supervision area or a weak supervision area through analysis, and sends the division mark information of the check area i to a server for storage so as to apply different supervision intensities and supervision measures to the LED illuminating lamps in different areas, reduce management difficulty and effectively ensure the illumination effect in the museum; the concrete operation process of the museum detection and division module is as follows:
setting a detection period with a number of days of T1, preferably fifteen days; setting a plurality of detection time periods in the daily open time period of the museum, and collecting people flow detection data and people residence data of a check area i corresponding to the detection time periods, wherein the people flow detection data are data values representing the quantity of people flow in the check area i in the detection time period, and the people residence data are data values representing the average residence time length of people in the check area i in the detection time period; by the formulaCarrying out numerical calculation on the people stream detection data QRi and the personnel residence data QZi to obtain a regional characteristic value QTi; wherein a1 and a2 are preset weight coefficients, and a1 and a2 are positive numbers;
acquiring the area flow area of the check area i, wherein the area flow area is a data value representing the size of the area of a channel for a person to walk and stay in the check area i; the ratio of the area characteristic value of the check area i in the corresponding detection period to the area flow area is calculated to obtain an area period detection value, and the larger the value of the area period detection value is, the more popular the check area i in the corresponding detection period is with visitors; performing mean value calculation and variance calculation on the regional period detection values of all the detection periods of the corresponding date of the verification region i to obtain a regional period detection table value and a regional period detection value, and respectively performing numerical comparison on the regional period detection table value and the regional period detection value and a preset regional period detection table threshold value and a preset regional period detection threshold value;
if the regional period detection table value exceeds the preset regional period detection table threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, indicating that the popularity of the verification region i on the corresponding date is high in the whole, marking the corresponding date as a high-heat date of the verification region i; if the regional period detection value does not exceed the preset regional period detection threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, indicating that the popularity of the verification region i on the corresponding date is low in the whole, marking the corresponding date as the low-heat date of the verification region i;
the other cases are marked with corresponding dates as high-heat dates, medium-heat dates and low-heat dates of the check area i through multi-period comparison and integration analysis; the method comprises the following steps: comparing the detection value of the area period corresponding to the detection period of the check area i with a preset detection threshold value of the area period, and if the detection value of the area period exceeds the detection threshold value of the preset area period, assigning a period judgment symbol SF-1 to the corresponding detection period; if the detection value of the regional period exceeds the detection threshold value of the preset regional period, a period judgment symbol SF-2 is allocated to the corresponding detection period; collecting the time period number of the check area i corresponding to the time period judgment symbol SF-1 in the corresponding date and marking the time period number as a high judgment time period table value, and collecting the time period number of the check area i corresponding to the time period judgment symbol SF-2 in the corresponding date and marking the time period number as a low judgment time period table value;
calculating the ratio of the high judgment period table value to the low judgment period table value to obtain a high judgment number detection value, and passing through a formulaWill be highThe judgment number detection value QYi and the regional period detection table value QKi are subjected to numerical calculation to obtain a regional daily detection value QPI; wherein tg1 and tg2 are preset proportionality coefficients, and tg1 > tg2 > 0; and, the larger the value of the region daily check value QPI is, the more popular the check region i is on the corresponding date;
comparing the regional daily detection value QPI with a preset regional daily detection value range in a numerical mode, and marking the corresponding date as a high-heat date of the check region i if the regional daily detection value QPI exceeds the maximum value of the preset regional daily detection value range; if the region daily detection value QPI does not exceed the minimum value of the preset region daily detection value range, marking the corresponding date as the low-heat date of the check region i; if the regional daily check value QPI is within the preset regional daily check value range, marking the corresponding date as the moderate date of the check region i;
by the formulaPerforming numerical calculation on the high heat date quantity FRi, the medium heat date quantity FKi and the low heat date quantity FYi of the check area i in the detection period to obtain an area heat evaluation value FPi; wherein kp1, kp2 and kp3 are preset proportionality coefficients, and kp1 > kp2 > kp3 > 0; and, the larger the value of the area heat evaluation value FPi, the higher the popularity of the verification area i in the detection period as a whole;
comparing the regional heat evaluation value FPi with a preset regional heat evaluation threshold value, and marking the verification region i as a strong supervision region if the regional heat evaluation value exceeds the preset regional heat evaluation threshold value, which indicates that the verification region i has higher popularity in the detection period as a whole and the illumination control and the regional supervision of the verification region i are required to be enhanced; if the area heat evaluation value FPi exceeds the preset area heat evaluation threshold, indicating that the popularity of the verification area i in the detection period is low as a whole, the verification area i is marked as a weak supervision area.
The regional illumination monitoring module acquires the LED illumination lamps distributed in the verification region i, marks the corresponding LED illumination lamps as target lamp bodies u, and u is a positive number; the target lamp body u is subjected to running state deviation analysis, an illumination deviation normal signal or an illumination deviation abnormal signal of the target lamp body u is generated through analysis, the illumination deviation abnormal signal and the corresponding target lamp body u are sent to an intelligent control module and a background monitoring end through a server, the intelligent control module carries out adaptive regulation and control on the corresponding target lamp body u when receiving the illumination deviation abnormal signal, intelligent control on all LED illuminating lamps in a museum is achieved, the automation and intelligent degree is high, the illumination effect in the museum is effectively guaranteed, and the management difficulty for the LED illuminating lamps in the museum is reduced; the specific analysis procedure for the running state deviation analysis is as follows:
acquiring a preset running mode of the target lamp body u at the current moment, and acquiring real-time running information of the target lamp body u at the current moment, wherein the real-time running information comprises luminous flux data, light intensity data and color temperature data, the luminous flux data is a data value representing the total quantity of light emitted by the target lamp body u within a certain time, the light intensity data is a data value representing the intensity of the light emitted by the target lamp body u, and the color temperature data is a measurement unit representing the color component contained in the light emitted by the target lamp body u, namely the scale of the light source light color;
based on the operation mode of the target lamp body u at the current moment, corresponding preset luminous flux standard value, preset light intensity standard value and preset color temperature standard value are called from a server; and carrying out difference calculation on the luminous flux data and a preset luminous flux standard value to obtain a luminous flux detection value, and similarly obtaining a light intensity detection value and a color temperature detection value, wherein the light intensity detection value and the color temperature detection value are obtained through the formula:
carrying out numerical calculation on the luminous flux detection value ZFiu, the light intensity detection value ZDiu and the color temperature detection value ZWiu to obtain a lamp segregation value ZQiau; wherein, wq1, wq2 and wq3 are preset proportional coefficients, and values of wq1, wq2 and wq3 are all larger than zero; and, the larger the value of the illumination segregation value ZQiu is, the larger the illumination deviation degree of the target lamp body u at the current moment is;
obtaining all lamp segregation values of a target lamp body u in unit time, carrying out mean value calculation to obtain a lamp segregation table value, and comparing the unit with the lamp segregation table valueMarking the time length when the lamp segregation value of the target lamp body u exceeds a preset lamp segregation threshold value as a lamp segregation value, and marking the lamp segregation value with the largest value of the target lamp body u in unit time as the lamp segregation value; by the formulaPerforming numerical calculation on the lamp bias table value GTiu, the lamp bias time value GYIU and the lamp bias value GKiu to obtain a lamp state deviation value GFiu, wherein yk1, yk2 and yk3 are preset proportionality coefficients, and yk2 is more than yk1 and more than yk3 is more than 0.26; and, the larger the value of the illumination state deviation value GFiu of the target lamp body u, the worse the illumination condition of the target lamp body u in unit time is indicated;
the preset illumination state deviation threshold value matched with the subarea where the target lamp body u is located is obtained, specifically: if the subarea where the target lamp body u is located is a strong supervision area, the value of the deviation threshold value of the preset illumination state matched with the subarea is ZP1; if the subarea where the target lamp body u is located is a weak supervision area, the value of the deviation threshold value of the preset illumination state matched with the subarea is ZP2, and ZP2 is more than ZP1 is more than 0; the accuracy of the related analysis result can be effectively improved by distributing a preset illumination state deviation threshold value matched with the sub-region;
comparing the illumination state deviation value GFiu with a corresponding preset illumination state deviation threshold value, and generating an illumination deviation abnormal signal of the target lamp body u if the illumination state deviation value GFiu exceeds the preset illumination state deviation threshold value, which indicates that the illumination condition of the target lamp body u in unit time is poor; if the illumination state deviation value GFiu does not exceed the preset illumination state deviation threshold value, indicating that the illumination condition of the target lamp body u in unit time is good, generating an illumination deviation normal signal of the target lamp body u.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the server is in communication connection with the regional illumination coordination degree evaluation module, the regional illumination coordination degree evaluation module detects and evaluates the coordination conditions of all the LED illumination lamps in the verification region i, generates a high coordination signal or a low coordination signal of the verification region i by analysis, and sends the low coordination signal and the corresponding verification region i to the background monitoring end through the server, and the background monitoring end sends out corresponding early warning when receiving the low coordination signal, so that the manager can timely perform cause tracing investigation, and reasonably make adjustment measures to ensure the illumination coordination performance of the corresponding LED illumination lamps in each subarea, thereby further improving the illumination effect of each subarea in the museum; the specific operation process of the regional illumination coordination degree evaluation module is as follows:
the method comprises the steps of obtaining the number of LED illuminating lamps corresponding to an illumination deviation-transporting abnormal signal in unit time of a check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, obtaining the number of the LED illuminating lamps corresponding to an illumination deviation-transporting normal signal in unit time of the check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, and carrying out ratio calculation on the illumination deviation-detecting value and the illumination deviation-detecting value to obtain the illumination deviation-detecting value;
by the formulaCarrying out numerical calculation on the illumination abnormal detection value RFi and the illumination abnormal detection value RYi to obtain a regional illumination abnormal evaluation value RPi, wherein b1 and b2 are preset weight coefficients with values larger than zero, and b1 is larger than b2; and the larger the value of the regional illumination difference evaluation value RPi is, the worse the matching condition of all the LED illuminating lamps in the verification region i in unit time is; comparing the regional illumination difference evaluation value RPi with a preset regional illumination difference evaluation threshold value, and judging the matching state difference of all the LED illuminating lamps in the verification region i in unit time if the regional illumination difference evaluation value RPi exceeds the preset regional illumination difference evaluation threshold value; if the regional illumination difference evaluation value RPi does not exceed the preset regional illumination difference evaluation threshold value, judging that the matching state of all the LED illuminating lamps in the verification region i in unit time is good;
setting a coordination monitoring period, preferably three hours; marking the time for judging that the matching state of all the LED illuminating lamps in the checking area i in the matching monitoring period as the matching time, marking the times for judging that the matching state of all the LED illuminating lamps in the checking area i in the interval time of two adjacent groups of the matching time as the matching difference table value, carrying out mean value calculation on all the matching difference table values in the matching monitoring period to obtain a matching difference analysis value, and marking the matching difference table value with the largest numerical value in the matching monitoring period as the matching difference value; the number of times of judging the matching state difference of all the LED illuminating lamps in the checking area i in the matching monitoring period is calculated with the number of times of judging the good matching state of all the LED illuminating lamps in the checking area i to obtain a matching detection value;
by the formulaCarrying out numerical calculation on the coordination detection value PYi, the coordination analysis value PKi and the coordination difference value PFi to obtain a region coordination coefficient PXI; wherein, cq1, cq2 and cq3 are preset proportionality coefficients, and cq1 > cq2 > cq3 > 0; moreover, the larger the numerical value of the region coordination coefficient PXI is, the worse the coordination condition of all the LED illuminating lamps in the verification region i in the coordination monitoring period is;
the preset region matching coefficient threshold value matched with the verification region i is obtained, specifically: if the check area i is a strong supervision area, the value of the matching coefficient threshold of the preset area matched with the check area i is XF1; if the check area i is a weak supervision area, the value of the matching coefficient threshold of the preset area matched with the check area i is XF2, and XF2 is more than XF1 and more than 0; the accuracy of the related analysis result can be effectively improved by distributing a preset region matching coefficient threshold value matched with the verification region i;
comparing the region matching coefficient PXI of the verification region i with a corresponding preset region matching coefficient threshold value, and if the region matching coefficient PXI exceeds the preset region matching coefficient threshold value, indicating that the matching condition of all the LED illuminating lamps in the verification region i in the matching monitoring period is poor, generating a low matching signal of the verification region i; if the region matching coefficient PXI does not exceed the preset region matching coefficient threshold value, indicating that the matching condition of all the LED illuminating lamps in the verification region i in the matching monitoring period is good, generating a high matching signal of the verification region i.
Embodiment III: as shown in fig. 3, the difference between the present embodiment and embodiments 1 and 2 is that the server is in communication connection with the lighting lamp risk detection module, and the lighting lamp risk detection module performs risk detection analysis on the target lamp body u in the verification area i, and collects the real-time temperature data and the real-time temperature increase rate of the target lamp body u, where the real-time temperature data is a data value representing the surface temperature of the target lamp body u, and the real-time temperature increase rate is a data value representing the speed of rising the surface temperature of the target lamp body u; respectively carrying out numerical comparison on the temperature-carrying real-time data and the temperature-increasing real-time rate and a preset temperature-carrying real-time data threshold value and a preset temperature-increasing real-time rate threshold value, and if the temperature-carrying real-time data or the temperature-increasing real-time rate exceeds the corresponding preset threshold value, indicating that the operation risk of the target lamp body u at the corresponding moment is large, generating a risk-carrying early-warning signal of the target lamp body u;
if the temperature running real-time data and the temperature increasing real-time rate do not exceed the corresponding preset thresholds, acquiring the running power and the running energy consumption of the target lamp body u, wherein the running energy consumption is a data value representing the running power consumption of the target lamp body u; calculating the ratio of the operation energy consumption to the operation power to obtain operation consumption real-time data, comparing the operation consumption real-time data with a preset operation consumption real-time data threshold value in a numerical mode, and if the operation consumption real-time data exceeds the preset operation consumption real-time data threshold value, indicating that the operation risk of the target lamp body u at the corresponding moment is large, generating an operation risk early warning signal of the target lamp body u; and the risk early warning signal and the corresponding target lamp body u are sent to the background monitoring end through the server, the corresponding early warning is sent when the background monitoring end receives the risk early warning signal, and a manager timely checks and maintains the corresponding target lamp body u, so that the safety operation of all LED illuminating lamps in the museum is guaranteed, and the illumination effect in the museum is further guaranteed.
The working principle of the invention is as follows: when the intelligent monitoring system is used, the staff visit performance condition of the check area i is analyzed through the museum detection and division module, and the check area i is marked as a strong monitoring area or a weak monitoring area through analysis, so that different monitoring intensities and monitoring measures are applied to LED illuminating lamps in different areas, management difficulty is reduced, and the illumination effect in the museum is effectively ensured; the regional illumination monitoring module is used for carrying out running state deviation analysis on all the LED illumination lamps distributed in the verification region i, an illumination deviation normal signal or an illumination deviation abnormal signal corresponding to the LED illumination lamps are generated through analysis, the intelligent control module is used for carrying out adaptive regulation and control on the LED illumination lamps corresponding to the illumination deviation abnormal signal, intelligent control on all the LED illumination lamps in the museum is achieved, the degree of automation and intelligence is high, and the illumination effect in the museum is effectively guaranteed; and detecting and evaluating the matching conditions of all the LED illuminating lamps in the verification area i through the area illumination matching degree evaluation module, and generating a high matching signal or a low matching signal of the verification area i through analysis so as to ensure the illumination matching performance of the corresponding LED illuminating lamps in each subarea, thereby further improving the illumination effect of each subarea in the museum.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (8)

1. The intelligent control system for the LED illuminating lamp of the museum is characterized by comprising a server, a museum detection and division module, a regional illumination monitoring module, a regional illumination coordination degree evaluation module, an intelligent control module and a background monitoring end; the method comprises the steps that a server obtains an area needing supervision in a museum, the needed supervision area is divided into a plurality of sub-areas, the corresponding sub-areas are marked as verification areas i, and i is a natural number larger than 1; the museum detection and division module analyzes the visiting performance status of the personnel in the check area i, marks the check area i as a strong supervision area or a weak supervision area through analysis, and sends division mark information of the check area i to a server for storage;
the regional illumination monitoring module acquires the LED illumination lamps distributed in the verification region i, marks the corresponding LED illumination lamps as target lamp bodies u, and u is a positive number; the method comprises the steps that a target lamp body u is subjected to running state deviation analysis, an illumination deviation normal signal or an illumination deviation abnormal signal of the target lamp body u is generated through analysis, the illumination deviation abnormal signal and the corresponding target lamp body u are sent to an intelligent control module and a background monitoring end through a server, and the intelligent control module carries out adaptive regulation and control on the corresponding target lamp body u when receiving the illumination deviation abnormal signal; the regional illumination coordination degree evaluation module detects and evaluates the coordination conditions of all the LED illuminating lamps in the verification region i, generates a high coordination signal or a low coordination signal of the verification region i through analysis, and sends the low coordination signal and the corresponding verification region i to a background monitoring end through a server.
2. The intelligent control system of a museum LED lighting lamp according to claim 1, wherein the specific operation process of the museum detection and division module comprises:
setting a detection period with the number of days of T1, setting a plurality of detection periods in an open period of each day of the museum, acquiring people flow detection data and personnel residence data of a check area i corresponding to the detection periods, and carrying out numerical calculation on the people flow detection data and the personnel residence data to obtain an area characteristic value; acquiring the area flow area of the check area i, and calculating the ratio of the area characteristic value of the check area i in the corresponding detection period to the area flow area to obtain an area period detection value; carrying out mean value calculation and variance calculation on the detection values of the check area i corresponding to all the detection periods of the date so as to obtain an area period detection table value and an area period detection value;
if the regional period detection table value exceeds the preset regional period detection table threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, marking the corresponding date as a high-heat date of the check region i; if the regional period detection value does not exceed the preset regional period detection threshold value and the regional period detection value does not exceed the preset regional period detection threshold value, marking the corresponding date as a low-heat date of the check region i; the other cases are marked with corresponding dates as high-heat dates, medium-heat dates and low-heat dates of the check area i through multi-period comparison and integration analysis; carrying out numerical calculation on the high heat date quantity, the medium heat date quantity and the low heat date quantity of the check area i in the detection period to obtain an area heat evaluation value, and marking the check area i as a strong supervision area if the area heat evaluation value exceeds a preset area heat evaluation threshold value; and if the regional heat evaluation value exceeds a preset regional heat evaluation threshold, marking the check region i as a weak supervision region.
3. The intelligent control system for the LED lighting lamp of the museum according to claim 2, wherein the specific analysis process of the multi-period comparison and integration analysis is as follows:
comparing the detection value of the area period corresponding to the detection period of the check area i with a preset detection threshold value of the area period, and if the detection value of the area period exceeds the detection threshold value of the preset area period, assigning a period judgment symbol SF-1 to the corresponding detection period; if the detection value of the regional period exceeds the detection threshold value of the preset regional period, a period judgment symbol SF-2 is allocated to the corresponding detection period; collecting the time period number of the check area i corresponding to the time period judgment symbol SF-1 in the corresponding date and marking the time period number as a high judgment time period table value, and collecting the time period number of the check area i corresponding to the time period judgment symbol SF-2 in the corresponding date and marking the time period number as a low judgment time period table value;
performing ratio calculation on the high judgment period table value and the low judgment period table value to obtain a high judgment number detection value, and performing numerical calculation on the high judgment number detection value and the regional period table value to obtain a regional daily detection value; if the regional daily detection value exceeds the maximum value of the preset regional daily detection value range, marking the corresponding date as the high-heat date of the check region i; if the regional daily check value does not exceed the minimum value of the preset regional daily check value range, marking the corresponding date as the low-heat date of the check region i; if the regional daily check value is within the preset regional daily check value range, marking the corresponding date as the moderate date of the check region i.
4. The intelligent control system for the LED lighting lamp of the museum according to claim 1, wherein the specific analysis process of the running state deviation analysis is as follows:
acquiring a preset running mode of the target lamp body u at the current moment, and acquiring real-time running information of the target lamp body u at the current moment, wherein the real-time running information comprises luminous flux data, light intensity data and color temperature data, and calling corresponding preset luminous flux standard values, preset light intensity standard values and preset color temperature standard values from a server based on the running mode of the target lamp body u at the current moment; performing difference calculation on the luminous flux data and a preset luminous flux standard value to obtain a luminous flux detection value, obtaining a light intensity detection value and a color temperature detection value in a similar way, and performing numerical calculation on the luminous flux detection value, the light intensity detection value and the color temperature detection value to obtain a lamp segregation value;
obtaining all illumination segregation values of a target lamp body u in unit time, performing average calculation to obtain an illumination deviation table value, marking the duration that the illumination segregation value of the target lamp body u exceeds a preset illumination segregation threshold value in unit time as an illumination deviation value, and marking the illumination segregation value with the largest value of the target lamp body u in unit time as the illumination deviation value;
performing numerical calculation on the lamp bias table value, the lamp bias value and the lamp bias value to obtain a lamp state deviation value, obtaining a preset lamp state deviation threshold value matched with the subarea where the target lamp body u is located, and generating an illumination operation bias abnormal signal of the target lamp body u if the lamp state deviation value exceeds the preset lamp state deviation threshold value; and if the illumination state deviation value does not exceed the preset illumination state deviation threshold value, generating an illumination deviation normal signal of the target lamp body u.
5. The intelligent control system of a museum LED lighting lamp according to claim 4, wherein if the sub-area where the target lamp u is located is a strong supervision area, the value of the deviation threshold of the preset lighting state matched with the sub-area is ZP1; if the subarea where the target lamp body u is located is a weak supervision area, the value of the deviation threshold value of the preset illumination state matched with the subarea is ZP2, and ZP2 is more than ZP1 is more than 0.
6. The intelligent control system of a museum LED lighting lamp according to claim 1, wherein the specific operation process of the regional lighting coordination degree evaluation module comprises:
the method comprises the steps of obtaining the number of LED illuminating lamps corresponding to an illumination deviation-transporting abnormal signal in unit time of a check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, obtaining the number of the LED illuminating lamps corresponding to an illumination deviation-transporting normal signal in unit time of the check area i and marking the number of the LED illuminating lamps as an illumination deviation-detecting value, and carrying out ratio calculation on the illumination deviation-detecting value and the illumination deviation-detecting value to obtain the illumination deviation-detecting value; performing numerical calculation on the illumination abnormal detection value and the illumination abnormal detection value to obtain an area illumination abnormal evaluation value, and judging the matching state difference of all the LED illuminating lamps in the verification area i in unit time if the area illumination abnormal evaluation value exceeds a preset area illumination abnormal evaluation threshold value; if the regional illumination difference evaluation value does not exceed the preset regional illumination difference evaluation threshold value, judging that the matching state of all the LED illuminating lamps in the verification region i in unit time is good;
setting a coordination monitoring period, marking the time for judging that the coordination states of all the LED illuminating lamps in the verification area i are good in the coordination monitoring period as the irradiation judging time, marking the times for judging the coordination state differences of all the LED illuminating lamps in the verification area i in the interval time of two adjacent irradiation judging times as coordination difference table values, carrying out mean value calculation on all the coordination difference table values in the coordination monitoring period to obtain coordination difference analysis values, and marking the coordination difference table value with the largest numerical value in the coordination monitoring period as the coordination difference value; the method comprises the steps of carrying out ratio calculation on the times of judging the matching state differences of all the LED illuminating lamps in a checking area i in a matching monitoring period and the times of judging the good matching states of all the LED illuminating lamps in the checking area i to obtain a matching detection value, and carrying out numerical calculation on the matching detection value, the matching analysis value and the matching difference value to obtain an area matching coefficient; acquiring a preset region matching coefficient threshold matched with the check region i, and if the region matching coefficient exceeds the preset region matching coefficient threshold, generating a low matching signal of the check region i; and if the region matching coefficient does not exceed the preset region matching coefficient threshold value, generating a high matching signal of the check region i.
7. The intelligent control system of a museum LED lighting lamp according to claim 6, wherein if the verification area i is a strong supervision area, the value of the preset area matching coefficient threshold matched with the verification area i is XF1; if the check area i is a weak supervision area, the value of the matching coefficient threshold of the preset area matched with the check area i is XF2, and XF2 is more than XF1 and more than 0.
8. The intelligent control system of the LED illuminating lamp of the museum according to claim 1, wherein the server is in communication connection with an illuminating lamp risk detection module, the illuminating lamp risk detection module carries out risk detection analysis on a target lamp body u in a checking area i, temperature real-time data and temperature increase real-time rate of the target lamp body u are acquired, and a risk early warning signal of the target lamp body u is generated if the temperature real-time data or the temperature increase real-time rate exceeds a corresponding preset threshold;
if the temperature real-time data and the temperature increase real-time rate do not exceed the corresponding preset thresholds, acquiring the running power and the running energy consumption of the target lamp body u, calculating the ratio of the running energy consumption to the running power to obtain the real-time data of the running consumption, and if the real-time data of the running consumption exceeds the preset real-time data thresholds, generating a risk early warning signal of the target lamp body u; and the risk early warning signal and the corresponding target lamp u are sent to the background monitoring end through the server.
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