Intelligent illumination control method based on port illumination demand identification

Abstract

The invention belongs to the field of illumination control, relates to a data analysis technology, is used for solving the problem that adaptive control and adjustment cannot be carried out by combining illumination requirements and regional illumination equipment operation characteristic parameters in the prior art, and particularly relates to an intelligent illumination control method based on port illumination requirement recognition. Comprising the following steps: carrying out illumination test analysis on a port illumination area, and obtaining a conventional control parameter set and an operation control parameter set of each test area in the port illumination area; identifying and analyzing the lighting demand of the port, marking the lighting demand of the test area as no demand, conventional demand, operation demand or maintenance demand, and performing lighting control on each test area of the port according to the operation demand; according to the invention, illumination control can be carried out on all illumination requirements in the test area by combining the conventional parameter control set and the operation control parameter set, and the overall energy consumption is reduced while the illumination effect is ensured.

Description

Technical Field

[0001] The present invention belongs to the field of lighting control and relates to data analysis technology, and specifically to an intelligent lighting control method based on port lighting demand identification. Background Art

[0002] Port lighting needs mainly include accurate identification of lighting requirements for different scenes in the terminal operation area to ensure operation safety and efficiency. Through intelligent sensors and control systems, the brightness of ambient light can be monitored in real time and dynamically adjusted according to the functional requirements of different areas.

[0003] The smart lighting control method used in ports in the prior art cannot perform adaptive control and adjustment based on lighting needs and regional lighting equipment operating characteristic parameters, resulting in a low match between the operating status of the lighting equipment group and the identified scene requirements, and cannot take into account both lighting effects and energy consumption control.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent lighting control method based on port lighting demand identification, which is used to solve the problem that the prior art cannot combine lighting demand with regional lighting equipment operating characteristic parameters for adaptive control and adjustment;

[0006] The technical problem to be solved by the present invention is: how to provide an intelligent lighting control method based on port lighting demand identification that can combine lighting demand with regional lighting equipment operating characteristic parameters for adaptive control and adjustment.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The intelligent lighting control method based on port lighting demand identification includes the following steps:

[0009] Step P1: Perform lighting test analysis on the port lighting area and obtain the conventional control parameter set and operation control parameter set of each test area in the port lighting area;

[0010] Step P2: Identify and analyze the lighting needs of the port and mark the lighting needs of the test area as no need, regular need, operation need or maintenance need;

[0011] Step P3: Lighting control for each test area of ​​the port:

[0012] When the lighting demand in the test area is marked as no demand, disconnect the power supply circuits of all test objects in the test area;

[0013] When the lighting requirement in the test area is marked as maintenance requirement, turn on the power supply circuits of all test objects in the test area;

[0014] When the lighting demand of the test area is marked as an operational demand, the operational control parameter set of the test area is retrieved and the analysis gradient set FT is turned on in the operational control parameter set. i-1 The power supply circuit of all test objects;

[0015] When the lighting demand of the test area is marked as a conventional demand, the conventional control parameter set of the test area is retrieved and the conventional control parameter set analysis gradient set FT is turned on. i-1 The power supply circuit of all test objects;

[0016] When performing lighting control, the control priorities of no demand, maintenance demand, operation demand, and regular demand decrease in sequence.

[0017] Furthermore, the specific process of conducting lighting test analysis on the port lighting area includes:

[0018] Step P11: Divide the lighting area into several test areas, mark the high pole lamps in the test areas as test objects, form a test set with the test objects, and set several monitoring points in the test areas;

[0019] Step P12: Set the rejection value TC i , i = 1, 2, ..., n, n is a positive integer, and TC1 = 1, TC i+1 =TC i +1, the initial value of i is 1 and step P13 is executed;

[0020] Step P13: Randomly remove test objects from the test set. The number of test objects removed is proportional to the removal value TC. i equal;

[0021] Step P14: All elements retained in the test set form an analysis set, the output power of all test objects in the analysis set is adjusted to the rated power and the power is turned on, the light intensity value of the monitoring point is obtained, the light intensity values ​​of all monitoring points are summed and averaged to obtain the light mean GZ of the test area relative to the analysis set, the light intensity values ​​of all monitoring points are calculated by variance to obtain the light deviation GP of the test area relative to the analysis set; the illumination coefficient ZD of the test area relative to the analysis set is obtained by the formula ZD=k1*GZ-k2*GP, where k1 and k2 are both proportional coefficients, and k1>k2>1;

[0022] Step P15: Determine whether all the test sets meet the elimination value TC iAll element combinations are eliminated: If yes, execute step P16; if not, repeat steps P13-P15.

[0023] Furthermore, the specific process of conducting lighting test analysis on the port lighting area also includes:

[0024] Step P16: Record the rejection combinations and illumination coefficients ZD of all analysis sets. The rejection combination is a set of test objects that are rejected from the test set corresponding to the analysis set. Mark the maximum value of the illumination coefficient ZD as the rejection value TC. i Corresponding illumination performance value ZB i , the illumination performance value ZB i The corresponding analysis set and rejection set are marked as the analysis gradient set FT of the rejection value respectively i and the eliminated gradient set TT i .

[0025] Furthermore, the process of obtaining the operation control parameter set includes: converting the illumination performance value ZB i Compare with the preset operation performance threshold: If the illumination performance value ZB i If the value is greater than the job performance threshold, ZB i-1 -ZB i Mark as the rejection value TC i Corresponding weakening value XR i , i=i+1, and re-execute steps P13-P15; if the illuminance performance value ZB i Less than or equal to the performance threshold, then the maximum reduction value XR i Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitutes a set of job control parameters.

[0026] Furthermore, the acquisition process of the conventional control parameter set includes: converting the illumination performance value ZB i Compared with the preset conventional performance threshold: If the illuminance performance value ZB i is greater than or equal to the conventional performance threshold, then i=i+1, and steps P13-P15 are executed again; if the illuminance performance value ZB i If it is less than the normal performance threshold, the rejection value TC i-1 Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitutes a set of general control parameters.

[0027] Furthermore, the specific process of identifying and analyzing the lighting needs of the port includes:

[0028] Step P21: Obtain the light intensity value of the monitoring point in real time and mark it as the monitoring value, sum and average the monitoring values ​​of all monitoring points in the test area to obtain the monitoring coefficient of the test area, and compare the monitoring coefficient with the preset monitoring threshold: if the monitoring coefficient is greater than or equal to the monitoring threshold, mark the lighting demand of the test area as no demand; if the monitoring coefficient is less than the monitoring threshold, execute step P22;

[0029] Step P22: extract the number of active persons in the test area through the camera. When the number of active persons is less than M1, mark the lighting demand of the test area as normal demand; when the number of active persons is greater than or equal to M1, execute step P23;

[0030] Step P23: Mark the lighting requirements of the test area as operational requirements or maintenance requirements.

[0031] Furthermore, in step P23, the specific process of marking the lighting demand of the test area as an operation demand or a maintenance demand includes: extracting the clothing features of the active personnel and marking the active personnel as operation personnel or maintenance personnel according to the clothing features, marking the ratio of the number of marked maintenance personnel to the number of marked operation personnel in the test area as a maintenance coefficient, and comparing the maintenance coefficient with a preset maintenance threshold: if the maintenance coefficient is less than the maintenance threshold, marking the lighting demand of the test area as an operation demand; if the maintenance coefficient is greater than or equal to the maintenance threshold, marking the lighting demand of the test area as a maintenance demand.

[0032] The present invention has the following beneficial effects:

[0033] 1. Through the lighting test analysis of the port lighting area, the conventional control parameter set and the operation control parameter set of all test areas are obtained. Combining the conventional parameter control set and the operation control parameter set, all lighting needs in the test area can be controlled. The location, number of open lights and control combination of the high pole lights in the test area are comprehensively considered to generate the corresponding optimal control scheme for different lighting needs, thereby ensuring the lighting effect while reducing the overall energy consumption;

[0034] 2. By identifying and analyzing the lighting needs of the port, multiple marking results are obtained, and different control schemes are used to control the lighting of the test areas under different lighting needs, so that the test area can take into account both energy saving and lighting effects under any lighting demand;

[0035] 3. Lighting control is performed on each test area of ​​the port by setting priorities. Different lighting requirements correspond to fixed control priorities, which reduces the probability of disorder in the overall control system and enables orderly control of lighting equipment when lighting requirements switch. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 This is a flow chart of a method according to Embodiment 1 of the present invention;

[0038] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Embodiment 1: Figure 1 As shown, the intelligent lighting control method based on port lighting demand identification includes a lighting testing method (step P1), a demand identification method (step P2) and a lighting control method (step P3).

[0041] Step P1: Conduct lighting test analysis on the port lighting area (usually on a clear night). The initial lighting test analysis results can be used to meet various lighting requirements in subsequent test areas:

[0042] Step P11: Divide the lighting area into several test areas, mark the high pole lamps in the test areas as test objects, form a test set by the test objects, set several monitoring points in the test areas, and evenly distribute the monitoring points in the test areas to ensure the validity of the test results;

[0043] Step P12: Set the rejection value TC i , i = 1, 2, ..., n, n is a positive integer, and TC1 = 1, TC i+1 =TC i +1, the initial value of i is 1 and step P13 is executed;

[0044] Step P13: Randomly remove test objects from the test set. The number of test objects removed is proportional to the removal value TC. i equal;

[0045] Step P14: All elements retained in the test set form an analysis set, the output power of all test objects in the analysis set is adjusted to the rated power and the power is turned on, the light intensity value of the monitoring point is obtained, the light intensity values ​​of all monitoring points are summed and averaged to obtain the light mean GZ of the test area relative to the analysis set, the light intensity values ​​of all monitoring points are calculated by variance to obtain the light deviation GP of the test area relative to the analysis set; the illumination coefficient ZD of the test area relative to the analysis set is obtained by the formula ZD=k1*GZ-k2*GP, where k1 and k2 are both proportional coefficients, and k1>k2>1;

[0046] Step P15: Determine whether all the test sets meet the elimination value TC i All combinations of elements are eliminated: If yes, execute step P16; if no, repeat steps P13-P15;

[0047] Step P16: Record the rejection combinations and illumination coefficients ZD of all analysis sets. The rejection combination is a set of test objects that are rejected from the test set corresponding to the analysis set. Mark the maximum value of the illumination coefficient ZD as the rejection value TC. i Corresponding illumination performance value ZB i , the illumination performance value ZB i The corresponding analysis set and rejection set are marked as the analysis gradient set FT of the rejection value respectively i and the eliminated gradient set TT i , the illumination performance value ZB i Compare with the preset operation performance threshold: If the illumination performance value ZB i If the value is greater than the job performance threshold, ZB i-1 -ZB i Mark as the rejection value TC i Corresponding weakening value XR i , i=i+1, and re-execute steps P13-P15; if the illuminance performance value ZB i Less than or equal to the performance threshold, then the maximum reduction value XR i Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitute a set of job control parameters;

[0048] The illumination performance value ZB i Compared with the preset conventional performance threshold: If the illuminance performance value ZB i is greater than or equal to the conventional performance threshold, then i=i+1, and steps P13-P15 are executed again; if the illuminance performance value ZB i If it is less than the normal performance threshold, the rejection value TC i-1Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitute a regular control parameter set; the regular performance threshold and the operation performance threshold are both preset numerical constants, which are only used as the standard for the overall illumination of the test area to meet the corresponding lighting requirements, and the operation performance threshold is greater than the regular performance threshold; therefore, generally speaking, the analysis of the regular control parameter set is continued after the operation control parameter set is obtained.

[0049] Lighting test analysis is carried out on the port lighting area to obtain the general control parameter set and operation control parameter set of all test areas. Combining the general parameter control set and the operation control parameter set, lighting control can be performed for all lighting needs in the test area. The position, number of open lights and control combination of high pole lights in the comprehensive test area are used to generate the corresponding optimal control plan for different lighting needs, ensuring the lighting effect while reducing the overall energy consumption.

[0050] Step P2: Identify and analyze the lighting needs of the port:

[0051] Step P21: Obtain the light intensity value of the monitoring point in real time and mark it as the monitoring value, sum and average the monitoring values ​​of all monitoring points in the test area to obtain the monitoring coefficient of the test area, and compare the monitoring coefficient with the preset monitoring threshold: if the monitoring coefficient is greater than or equal to the monitoring threshold, mark the lighting demand of the test area as no demand; if the monitoring coefficient is less than the monitoring threshold, execute step P22;

[0052] Step P22: The number of active persons in the test area is extracted through the camera. When the number of active persons is less than M1, the lighting demand of the test area is marked as a normal demand. M1 is a numerical constant, and the specific value of M1 is set by the management personnel. When the number of active persons is greater than or equal to M1, step P23 is executed.

[0053] Step P23: extract clothing features of active personnel and mark active personnel as operating personnel or maintenance personnel according to the clothing features, mark the ratio of the number of marked maintenance personnel to the number of marked operating personnel in the test area as the maintenance coefficient, and compare the maintenance coefficient with a preset maintenance threshold: if the maintenance coefficient is less than the maintenance threshold, mark the lighting demand of the test area as an operating demand; if the maintenance coefficient is greater than or equal to the maintenance threshold, mark the lighting demand of the test area as a maintenance demand;

[0054] Different control schemes are used to control the lighting of test areas under different lighting requirements, so that the test area can take into account both energy saving and lighting effects under any lighting requirement.

[0055] Step P3: Perform lighting control on each test area of ​​the port: when the lighting demand of the test area is marked as no demand, disconnect the power supply circuits of all test objects in the test area; when the lighting demand of the test area is marked as maintenance demand, connect the power supply circuits of all test objects in the test area; when the lighting demand of the test area is marked as operation demand, retrieve the operation control parameter set of the test area and connect the analysis gradient set FT in the operation control parameter set i-1 The power supply circuit of all test objects in the test area; when the lighting demand of the test area is marked as a conventional demand, the conventional control parameter set of the test area is called up, and the conventional control parameter set analysis gradient set FT is turned on i-1 The power supply circuit of all test objects in the system; when performing lighting control, the control priority of no demand, maintenance demand, operation demand and regular demand decreases in sequence;

[0056] Lighting control is performed on various test areas of the port in a priority-setting manner. Different lighting requirements correspond to fixed control priorities, which reduces the probability of disorder in the overall control system and enables orderly control of lighting equipment when lighting requirements switch.

[0057] Embodiment 2: The intelligent lighting control method based on port lighting demand identification further includes the following steps:

[0058] Step S1: Perform fault monitoring on all turned-on test objects in the test area: obtain the current value and voltage value of the test object in real time, and when the current value exceeds a preset current threshold or the voltage value exceeds a preset voltage threshold, determine that the test object has a fault, and execute step S2;

[0059] Step S2: Mark the test object with fault as a faulty object, and obtain the current lighting demand marking result of the test area: if the lighting demand is marked as a maintenance demand, generate a fault signal and send the fault signal and the number of the faulty object to the mobile terminal of the maintenance personnel; if the lighting demand is marked as a regular demand, execute step S3; if the lighting demand is marked as an operation demand, execute step S4;

[0060] Step S3: retrieve the elimination combinations and illumination coefficients ZD of all analysis sets recorded in step P16, mark the elimination combinations containing all faulty objects in the elimination combinations as regular supplementary combinations, mark the number of elements in the regular supplementary combinations as regular supplementary values ​​of the regular supplementary combinations, mark the regular supplementary combinations with the largest regular supplementary values ​​as regular selected combinations, mark the analysis sets corresponding to the regular selected combinations with the largest illumination coefficient ZD as regular replacement sets, connect the power supply circuits of all test objects in the regular replacement sets and disconnect the power supply circuits of other test objects; finally, generate a fault signal and send the fault signal and the number of the faulty object to the mobile phone terminal of the maintenance personnel;

[0061] Step S4: Mark the analysis gradient set FTi that does not contain all fault objects in step P16 as a job supplement set, retrieve the weakening value of the job supplement set corresponding to the rejection value, mark the job supplement set with the smallest weakening value as the job replacement set, connect the power supply circuits of all test objects in the job replacement set and disconnect the power supply circuits of other test objects; finally, generate a fault signal and send the fault signal and the number of the fault object to the mobile terminal of the maintenance personnel;

[0062] When a fault occurs, the best replacement plan that does not include the faulty object can be quickly extracted based on the test data recorded in the lighting test analysis process, and lighting control and fault replacement can be performed in a combined control manner with multiple test objects. Whether it is lighting demand switching control or replacement control in the event of a fault, the best control plan can be quickly screened from the overall perspective of the test area, ensuring the lighting effect while improving control efficiency.

[0063] The intelligent lighting control method based on the identification of port lighting needs, when working, performs lighting test analysis on the port lighting area and obtains the general control parameter set and operation control parameter set of all test areas, identifies and analyzes the lighting needs of the port and marks the lighting needs as no demand, general demand, operation demand or maintenance demand; and performs lighting control on various test areas of the port according to the operation demand.

[0064] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0065] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: formula ZD = k1*GZ-k2*GP; technicians in this field collect multiple groups of sample data and set corresponding illumination coefficients for each group of sample data; substitute the set illumination coefficients and the collected sample data into the formula, any two formulas constitute a set of binary linear equations, screen the calculated coefficients and take the average, and obtain the values ​​of k and k2 as 3.47 and 2.35 respectively;

[0066] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding illumination coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the illumination coefficient is proportional to the value of the light mean GZ.

[0067] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0068] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The intelligent lighting control method based on port lighting demand identification is characterized by: The following steps are involved: Step P1: Perform lighting test analysis on the port lighting area and obtain the conventional control parameter set and operation control parameter set of each test area in the port lighting area; Step P2: Identify and analyze the lighting needs of the port and mark the lighting needs of the test area as no need, regular need, operation need or maintenance need; Step P3: Lighting control for each test area of ​​the port: When the lighting demand in the test area is marked as no demand, disconnect the power supply circuits of all test objects in the test area; When the lighting requirement in the test area is marked as maintenance requirement, turn on the power supply circuits of all test objects in the test area; When the lighting demand of the test area is marked as an operational demand, the operational control parameter set of the test area is retrieved and the analysis gradient set FT is turned on in the operational control parameter set. i-1 The power supply circuit of all test objects; When the lighting demand of the test area is marked as a conventional demand, the conventional control parameter set of the test area is retrieved and the conventional control parameter set analysis gradient set FT is turned on. i-1 The power supply circuit of all test objects; When performing lighting control, the control priorities of no demand, maintenance demand, operation demand, and regular demand decrease in sequence.

2. The intelligent lighting control method based on port lighting demand identification according to claim 1 is characterized in that: The specific process of lighting test analysis for port lighting areas includes: Step P11: Divide the lighting area into several test areas, mark the high pole lamps in the test areas as test objects, form a test set with the test objects, and set several monitoring points in the test areas; Step P12: Set the rejection value TC i , i = 1, 2, ..., n, n is a positive integer, and TC1 = 1, TC i+1 =TC i +1, the initial value of i is 1 and step P13 is executed; Step P13: Randomly remove test objects from the test set. The number of test objects removed is proportional to the removal value TC. i equal; Step P14: All elements retained in the test set form an analysis set, the output power of all test objects in the analysis set is adjusted to the rated power and the power is turned on, the light intensity value of the monitoring point is obtained, the light intensity values ​​of all monitoring points are summed and averaged to obtain the light mean GZ of the test area relative to the analysis set, the light intensity values ​​of all monitoring points are calculated by variance to obtain the light deviation GP of the test area relative to the analysis set; the illumination coefficient ZD of the test area relative to the analysis set is obtained by the formula ZD=k1*GZ-k2*GP, where k1 and k2 are both proportional coefficients, and k1>k2>1; Step P15: Determine whether all the test sets meet the elimination value TC i All element combinations are eliminated: If yes, execute step P16; if not, repeat steps P13-P15.

3. The intelligent lighting control method based on port lighting demand identification according to claim 2 is characterized in that: The specific process of lighting test analysis for port lighting areas also includes: Step P16: Record the rejection combinations and illumination coefficients ZD of all analysis sets. The rejection combination is a set of test objects that are rejected from the test set corresponding to the analysis set. Mark the maximum value of the illumination coefficient ZD as the rejection value TC. i Corresponding illumination performance value ZB i , the illumination performance value ZB i The corresponding analysis set and rejection set are marked as the analysis gradient set FT of the rejection value respectively i and the eliminated gradient set TT i .

4. According to the intelligent lighting control method based on port lighting demand identification according to claim 3, the process of obtaining the operation control parameter set includes: The illumination performance value ZB i Compare with the preset operation performance threshold: If the illumination performance value ZB i If the value is greater than the job performance threshold, ZB i-1 -ZB i Mark as the rejection value TC i Corresponding weakening value XR i , i=i+1, and re-execute steps P13-P15; if the illuminance performance value ZB i Less than or equal to the performance threshold, then the maximum reduction value XR i Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitutes a set of job control parameters.

5. The intelligent lighting control method based on port lighting demand identification according to claim 4 is characterized in that: The acquisition process of the conventional control parameter set includes: i Compared with the preset conventional performance threshold: If the illuminance performance value ZB i is greater than or equal to the conventional performance threshold, then i=i+1, and steps P13-P15 are executed again; if the illuminance performance value ZB i If it is less than the normal performance threshold, the rejection value TC i-1 Corresponding illumination performance value ZB i-1 , analytical gradient set FT i-1 and the eliminated gradient set TT i-1 Constitutes a set of general control parameters.

6. The intelligent lighting control method based on port lighting demand identification according to claim 5 is characterized in that: The specific process of identifying and analyzing the lighting needs of the port includes: Step P21: Obtain the light intensity value of the monitoring point in real time and mark it as the monitoring value, sum and average the monitoring values ​​of all monitoring points in the test area to obtain the monitoring coefficient of the test area, and compare the monitoring coefficient with the preset monitoring threshold: if the monitoring coefficient is greater than or equal to the monitoring threshold, mark the lighting demand of the test area as no demand; if the monitoring coefficient is less than the monitoring threshold, execute step P22; Step P22: extract the number of active persons in the test area through the camera. When the number of active persons is less than M1, mark the lighting demand of the test area as normal demand; when the number of active persons is greater than or equal to M1, execute step P23; Step P23: Mark the lighting requirements of the test area as operational requirements or maintenance requirements.

7. The intelligent lighting control method based on port lighting demand identification according to claim 6 is characterized in that: In step P23, the specific process of marking the lighting demand of the test area as an operation demand or a maintenance demand includes: extracting the clothing features of the active personnel and marking the active personnel as operation personnel or maintenance personnel according to the clothing features, marking the ratio of the number of marked maintenance personnel to the number of marked operation personnel in the test area as a maintenance coefficient, and comparing the maintenance coefficient with a preset maintenance threshold: if the maintenance coefficient is less than the maintenance threshold, the lighting demand of the test area is marked as an operation demand; if the maintenance coefficient is greater than or equal to the maintenance threshold, the lighting demand of the test area is marked as a maintenance demand.

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