Intelligent lighting system and control method thereof

Abstract

The invention relates to the technical field of coal conveying trestle lighting, in particular to an intelligent lighting system and a control method thereof. Comprising the steps that a plurality of equipment points are set according to equipment parameters of the coal conveying trestle, and each equipment point is provided with an illumination sub-module; setting a lighting strategy according to the working parameters of the coal conveying trestle, and obtaining the operating parameters of each lighting sub-module according to a preset time node; generating a fault risk value of each lighting sub-module, and judging whether a maintenance instruction is generated or not according to all the fault risk values; a plurality of equipment points are established based on equipment parameters of the coal conveying trestle, a first-level illumination plan is set according to a correlation model among all the equipment points, and each illumination sub-module is controlled to perform alternate illumination during unmanned inspection, so that the energy consumption of the illumination system is reduced on the premise of ensuring the monitoring efficiency, and the overall operation and maintenance cost is reduced; and when a person inspects, the working parameters of the corresponding lighting sub-module are adjusted according to the expected movement track, so that the inspection safety of the person is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of coal handling trestle lighting, and in particular to an intelligent lighting system and a control method thereof. Background Art

[0002] Coal-fired power plants are important production forces for national power energy security and people's livelihood. The coal trestle of the power plant has a high risk of fire, high noise, high coal dust concentration, long conveyor belt, large height difference of deployment position, many rotating parts in the trestle, and complex cross-relationships of various pipelines. Therefore, in daily operation, it is necessary to illuminate the inside of the coal trestle to ensure normal inspection work of personnel and real-time monitoring of the inside of the coal trestle.

[0003] However, at present, there are some areas in the coal conveyor trestle with insufficient lighting, which makes it impossible to effectively monitor the internal status in a timely manner. The energy consumption of the overall lighting system is too high, which leads to an increase in the operating cost of the coal conveyor trestle. In addition, some lighting equipment cannot provide timely fault warnings, which interferes with the inspection work of personnel. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a smart lighting system and a control method thereof, aiming to improve lighting efficiency and reduce energy consumption of the lighting system.

[0005] In some embodiments of the present application, multiple equipment points are established based on the equipment parameters of the coal conveyor trestle, and a first-level lighting plan is set according to the association model between all the equipment points. When there is no one patrolling, each lighting sub-module is controlled to perform alternating lighting. Under the premise of ensuring monitoring efficiency, the energy consumption of the lighting system is reduced, thereby reducing the overall operation and maintenance cost. When personnel are patrolling, the corresponding lighting sub-module working parameters are adjusted according to the expected activity trajectory, thereby ensuring sufficient lighting of the personnel activity area and ensuring the safety of personnel patrol.

[0006] In some embodiments of the present application, each lighting sub-module is monitored, the fault status of each lighting sub-module is periodically determined, and the lighting sub-module with operating faults is promptly repaired to avoid interference with the operation of the coal conveyor trestle due to lighting equipment failure, thereby ensuring stable operation of the system.

[0007] In some embodiments of the present application, a smart lighting system control method is provided, including:

[0008] According to the equipment parameters of the coal handling trestle, multiple equipment points are set, and lighting submodules are provided at the equipment points;

[0009] Set the lighting strategy according to the working parameters of the coal handling trestle, and obtain the operating parameters of each lighting submodule according to the preset time node;

[0010] Generate a fault risk value for each lighting submodule, and determine whether to generate a maintenance instruction based on all the fault risk values;

[0011] When setting multiple equipment points, it includes:

[0012] Establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

[0013] In some embodiments of the present application, the lighting strategy is set according to the working parameters of the coal handling trestle, including:

[0014] Establish a lighting submodule array B, B = (b1, b2...bi...bn), where bi is the lighting submodule of the i-th device node;

[0015] Construct a correlation model based on all lighting submodules;

[0016] Determine the operating status of the coal conveyor trestle according to the working parameters of the coal conveyor trestle;

[0017] If it is the first-level operating state, set the first-level lighting strategy according to the associated model;

[0018] If it is in the secondary operation state, the expected activity trajectory is generated and the secondary lighting strategy is set according to the expected activity trajectory.

[0019] In some embodiments of the present application, when setting the primary lighting strategy according to the association model, it includes:

[0020] Obtaining the location parameters of each device point and the lighting coverage area parameters of each lighting submodule, and constructing multiple lighting sub-areas;

[0021] Establish a sequence of illumination sub-areas K, K = (k1, k2…k i …k n1 ), where ki is the i-th illumination sub-region; n1 is the number of illumination sub-regions; and n1<n;

[0022] Extract all lighting sub-modules in the i-th lighting sub-area in sequence, and generate an association relationship table of the i-th lighting sub-area;

[0023] Build an association model based on all association relationship tables;

[0024] According to the association model, the alternation plan in the i-th lighting sub-area is sequentially set;

[0025] Generate monitoring evaluation values ​​for each lighting sub-area;

[0026] Set the lighting brightness of each lighting sub-area according to all monitoring and evaluation values;

[0027] A primary lighting strategy is generated based on the overall alternation plan and the lighting brightness of each lighting sub-area.

[0028] In some embodiments of the present application, when setting a secondary lighting strategy according to an expected activity trajectory, it includes:

[0029] According to the expected activity trajectory, a path equipment point number sequence A1 is established. 11 , a 12 …a 1i …a 1m ), where a1i is the i-th device point passed in the expected activity trajectory; m is the number of device points on the path; and m<n;

[0030] Generate the environmental interference value of each device point and establish the environmental interference value series C, C = (c 11 , c 12 …c 1i …c 1m ), where c 1i is the environmental interference value of the i-th path equipment point;

[0031] Set the lighting time period for each path device point according to the expected activity trajectory;

[0032] According to the environmental interference value series C, the lighting brightness of each path equipment point is set;

[0033] Generate a secondary lighting strategy.

[0034] In some embodiments of the present application, when generating the fault risk value of each lighting sub-module, it includes:

[0035] Set bi as the target lighting submodule in turn;

[0036] Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule;

[0037]

[0038] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule;

[0039] Generate a failure risk value for each lighting submodule;

[0040] A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

[0041] In some embodiments of the present application, when determining whether to generate a maintenance instruction according to all fault risk values, the process includes:

[0042] Generate maintenance evaluation value h according to fault risk value series F;

[0043]

[0044] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model;

[0045] Preset the first maintenance evaluation value threshold H1;

[0046] If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F.

[0047] If h≤H1, no maintenance instruction is generated.

[0048] In some embodiments of the present application, a smart lighting system is provided, including:

[0049] The central control unit is used to set multiple equipment points according to the equipment parameters of the coal handling trestle;

[0050] A lighting unit, comprising a plurality of lighting submodules, wherein the lighting submodules are arranged at various equipment points;

[0051] The lighting unit is used to control the internal brightness of the coal handling trestle;

[0052] A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are connected to the lighting submodule;

[0053] The monitoring submodule is used to collect environmental parameters of the equipment point and operating parameters of the lighting submodule;

[0054] The central control unit comprises:

[0055] The first processing module is used to establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

[0056] In some embodiments of the present application, the central control unit further includes:

[0057] The second processing module is used to construct a correlation model of all lighting sub-modules;

[0058] The third processing module is used to determine the operating state of the coal conveyor trestle according to the working parameters of the coal conveyor trestle;

[0059] If it is the first-level operating state, set the first-level lighting strategy according to the associated model;

[0060] If it is in the secondary operation state, generate the expected activity trajectory and set the secondary lighting strategy according to the expected activity trajectory;

[0061] A fourth processing module, which obtains the operating parameters of each lighting submodule according to a preset time node, and generates a failure risk value of each lighting submodule;

[0062] The first maintenance module is used to determine whether to generate a maintenance instruction according to all fault risk values.

[0063] In some embodiments of the present application, the fourth processing module is further used to:

[0064] Set bi as the target lighting submodule in turn;

[0065] Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule;

[0066] f=e1*Q1*βi*di+e2*Q2*U;

[0067] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule;

[0068] Generate a failure risk value for each lighting submodule;

[0069] A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

[0070] In some embodiments of the present application, the first maintenance module is further used for:

[0071] Generate maintenance evaluation value h according to fault risk value series F;

[0072] h=e3*Q3*(μi*fi)+e4*Q4*(μi*f'i)

[0073] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model;

[0074] Preset the first maintenance evaluation value threshold H1;

[0075] If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F.

[0076] If h≤H1, no maintenance instruction is generated.

[0077] Compared with the prior art, the intelligent lighting system and control method thereof in the embodiment of the present application have the following beneficial effects:

[0078] Based on the equipment parameters of the coal conveyor trestle, multiple equipment points are established, and a first-level lighting plan is set according to the association model between all equipment points. When there is no one on patrol, each lighting sub-module is controlled to light alternately. Under the premise of ensuring monitoring efficiency, the energy consumption of the lighting system is reduced, thereby reducing the overall operation and maintenance cost. When personnel are on patrol, the corresponding lighting sub-module working parameters are adjusted according to the expected activity trajectory, thereby ensuring sufficient lighting in the personnel activity area and ensuring the safety of personnel patrol.

[0079] By monitoring each lighting submodule, periodically judging the fault status of each lighting submodule, and promptly repairing the lighting submodule with operating faults, interference with the operation of the coal handling trestle due to lighting equipment failure can be avoided, thus ensuring the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is a flow chart of a smart lighting system control method in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0081] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0082] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0083] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0084] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0085] like Figure 1 As shown, a smart lighting system control method according to a preferred embodiment of the present application includes:

[0086] S101: multiple equipment points are set according to equipment parameters of the coal conveyor trestle, and lighting submodules are provided at the equipment points;

[0087] S102: setting a lighting strategy according to the working parameters of the coal handling trestle, and obtaining the operating parameters of each lighting submodule according to a preset time node;

[0088] S103: generating a fault risk value for each lighting submodule, and determining whether to generate a maintenance instruction based on all the fault risk values;

[0089] When setting multiple equipment points, it includes:

[0090] Establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

[0091] Specifically, when setting the lighting strategy based on the working parameters of the coal handling trestle, it includes:

[0092] Establish a lighting submodule array B, B = (b1, b2...bi...bn), where bi is the lighting submodule of the i-th device node;

[0093] Construct a correlation model based on all lighting submodules;

[0094] Determine the operating status of the coal conveyor trestle according to the working parameters of the coal conveyor trestle;

[0095] If it is the first-level operating state, set the first-level lighting strategy according to the associated model;

[0096] If it is in the secondary operation state, the expected activity trajectory is generated and the secondary lighting strategy is set according to the expected activity trajectory.

[0097] Specifically, each location node that needs to be illuminated is determined according to the equipment parameters of the coal handling trestle, thereby constructing multiple equipment points, and setting a corresponding lighting sub-module on each device.

[0098] Specifically, the first-level operation state means that there is no human activity inside the coal conveyor trestle. At this time, conventional lighting control is performed inside the coal conveyor trestle, that is, the corresponding lighting parameters are set according to the monitoring requirements of the corresponding areas of each equipment point, thereby ensuring the monitoring quality inside the coal conveyor trestle.

[0099] Specifically, the secondary operation state means that according to the work plan, personnel need to enter the coal conveyor trestle to conduct inspections, equipment maintenance and other work. At this time, the expected activity trajectory is generated according to the work plan, and the lighting parameters of the corresponding lighting sub-module are set according to the expected activity trajectory, so as to ensure sufficient lighting of the personnel activity area.

[0100] In a preferred embodiment of the present application, when setting the primary lighting strategy according to the association model, it includes:

[0101] Obtaining the location parameters of each device point and the lighting coverage area parameters of each lighting submodule, and constructing multiple lighting sub-areas;

[0102] Establish a sequence of illumination sub-areas K, K = (k1, k2…k i …k n1 ), where ki is the i-th illumination sub-region; n1 is the number of illumination sub-regions; and n1<n;

[0103] Extract all lighting sub-modules in the i-th lighting sub-area in sequence, and generate an association relationship table of the i-th lighting sub-area;

[0104] Build an association model based on all association relationship tables;

[0105] According to the association model, the alternation plan in the i-th lighting sub-area is sequentially set;

[0106] Generate monitoring evaluation values ​​for each lighting sub-area;

[0107] Set the lighting brightness of each lighting sub-area according to all monitoring and evaluation values;

[0108] A primary lighting strategy is generated based on the overall alternation plan and the lighting brightness of each lighting sub-area.

[0109] Specifically, the lighting coverage areas of the lighting submodules in a single lighting sub-area are basically the same, or the lighting coverage areas of two or more lighting submodules are highly overlapped, and the lighting requirements of the lighting sub-area can be met by starting some of the lighting submodules in the lighting sub-area. Thus, by setting an alternating plan, all lighting submodules in the lighting sub-area are controlled, and the lighting is alternately provided, thereby reducing the energy consumption of the lighting system.

[0110] Specifically, a corresponding monitoring evaluation value is set according to the environmental parameters in the current lighting sub-area, and the higher the monitoring evaluation value is, the higher the required lighting brightness in the current monitoring sub-area is.

[0111] Specifically, when setting secondary lighting strategies based on expected activity trajectories, it includes:

[0112] According to the expected activity trajectory, a path equipment point number sequence A1 is established. 11 , a 12 …a 1i …a 1m ), where a1i is the i-th device point passed in the expected activity trajectory; m is the number of device points on the path; and m<n;

[0113] Generate the environmental interference value of each device point and establish the environmental interference value series C, C = (c 11 , c 12 …c 1i …c 1m ), where c 1i is the environmental interference value of the i-th path equipment point;

[0114] Set the lighting time period for each path device point according to the expected activity trajectory;

[0115] According to the environmental interference value series C, the lighting brightness of each path equipment point is set;

[0116] Generate a secondary lighting strategy.

[0117] Specifically, according to the expected activity trajectory, the lighting time period of each equipment point on the path is set, and the lighting brightness is adjusted to the maximum during the corresponding lighting time period to ensure the safety of personnel.

[0118] It can be understood that in the above embodiment, multiple equipment points are established based on the equipment parameters of the coal conveyor trestle, and a first-level lighting plan is set according to the association model between all the equipment points. When there is no one patrolling, each lighting sub-module is controlled to perform alternating lighting. Under the premise of ensuring monitoring efficiency, the energy consumption of the lighting system is reduced, thereby reducing the overall operation and maintenance cost. When personnel are patrolling, the corresponding lighting sub-module working parameters are adjusted according to the expected activity trajectory, thereby ensuring sufficient lighting of the personnel activity area and ensuring the safety of personnel patrol.

[0119] In a preferred embodiment of the present application, when generating the fault risk value of each lighting submodule, it includes:

[0120] Set bi as the target lighting submodule in turn;

[0121] Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule;

[0122]

[0123] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule;

[0124] Generate a failure risk value for each lighting submodule;

[0125] A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

[0126] Specifically, the greater the fault risk value, the greater the possibility that the lighting submodule at the current device point has an operational fault and cannot provide lighting.

[0127] Specifically, characteristic monitoring indicators include, but are not limited to, current fluctuation, voltage fluctuation, remaining battery power, etc. The greater the historical fault frequency, the greater the corresponding historical fault evaluation value.

[0128] Specifically, when judging whether to generate a maintenance instruction based on all fault risk values, it includes:

[0129] Generate maintenance evaluation value h according to fault risk value series F;

[0130]

[0131] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model;

[0132] Preset the first maintenance evaluation value threshold H1;

[0133] If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F.

[0134] If h≤H1, no maintenance instruction is generated.

[0135] Specifically, first-level maintenance refers to setting a corresponding maintenance plan based on the fault risk value of each equipment point, repairing the lighting sub-modules with risks, and eliminating the fault risks.

[0136] It can be understood that in the above embodiment, by monitoring each lighting sub-module, the fault status of each lighting sub-module is periodically determined, and the lighting sub-module with operating failure is promptly repaired to avoid interference with the operation of the coal conveyor trestle due to lighting equipment failure, thereby ensuring the stable operation of the system.

[0137] Based on another preferred embodiment of a smart lighting system control method in any of the above preferred embodiments, this preferred embodiment provides a smart lighting system, including:

[0138] The central control unit is used to set multiple equipment points according to the equipment parameters of the coal handling trestle;

[0139] A lighting unit, comprising a plurality of lighting submodules, wherein the lighting submodules are arranged at each equipment point;

[0140] The lighting unit is used to control the brightness inside the coal handling trestle;

[0141] A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are connected to the lighting submodule;

[0142] The monitoring submodule is used to collect the environmental parameters of the equipment point and the operating parameters of the lighting submodule;

[0143] The central control unit includes:

[0144] The first processing module is used to establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

[0145] Specifically, the central control unit also includes:

[0146] The second processing module is used to construct a correlation model of all lighting sub-modules;

[0147] The third processing module is used to determine the operating state of the coal conveyor trestle according to the working parameters of the coal conveyor trestle;

[0148] If it is the first-level operating state, set the first-level lighting strategy according to the associated model;

[0149] If it is in the secondary operation state, generate the expected activity trajectory and set the secondary lighting strategy according to the expected activity trajectory;

[0150] A fourth processing module, which obtains the operating parameters of each lighting submodule according to a preset time node, and generates a failure risk value of each lighting submodule;

[0151] The first maintenance module is used to determine whether to generate a maintenance instruction according to all fault risk values.

[0152] Specifically, the lighting sub-module is preferably an LED lamp that can perform dimming processing, and each lighting sub-module has a separate control circuit that can perform autonomous switching operations, and each lighting sub-module is provided with a variety of sensors for recording various operating parameters, such as operating current, voltage, environmental parameters and the remaining power in the lighting sub-module control circuit.

[0153] Specifically, the fourth processing module is also used for:

[0154] Set bi as the target lighting submodule in turn;

[0155] Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule;

[0156] f=e1*Q1*βi*di+e2*Q2*U;

[0157] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule;

[0158] Generate a failure risk value for each lighting submodule;

[0159] A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

[0160] Specifically, the first maintenance module is also used for:

[0161] Generate maintenance evaluation value h according to fault risk value series F;

[0162] h=e3*Q3*(μi*fi)+e4*Q4*(μi*f'i)

[0163] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model;

[0164] Preset the first maintenance evaluation value threshold H1;

[0165] If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F.

[0166] If h≤H1, no maintenance instruction is generated.

[0167] According to the first concept of the present application, multiple equipment points are established based on the equipment parameters of the coal conveyor trestle, and a first-level lighting plan is set according to the association model between all the equipment points. When there is no one patrolling, each lighting sub-module is controlled to perform alternating lighting. Under the premise of ensuring monitoring efficiency, the energy consumption of the lighting system is reduced, thereby reducing the overall operation and maintenance cost. When personnel are patrolling, the corresponding lighting sub-module working parameters are adjusted according to the expected activity trajectory, thereby ensuring sufficient lighting of the personnel activity area and ensuring the safety of personnel patrol.

[0168] According to the second concept of the present application, by monitoring each lighting sub-module, the fault status of each lighting sub-module is periodically determined, and the lighting sub-module with operating faults is promptly repaired to avoid interference with the operation of the coal conveyor trestle due to lighting equipment failure, thereby ensuring the stable operation of the system.

[0169] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A smart lighting system control method, characterized in that: include: According to the equipment parameters of the coal handling trestle, multiple equipment points are set, and lighting submodules are provided at the equipment points; Set the lighting strategy according to the working parameters of the coal handling trestle, and obtain the operating parameters of each lighting submodule according to the preset time node; Generate a fault risk value for each lighting submodule, and determine whether to generate a maintenance instruction based on all the fault risk values; When setting multiple equipment points, it includes: Establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

2. The smart lighting system control method according to claim 1, characterized in that: The lighting strategy is set according to the working parameters of the coal handling trestle, including: Establish a lighting submodule array B, B = (b1, b2...bi...bn), where bi is the lighting submodule of the i-th device node; Construct a correlation model based on all lighting submodules; Determine the operating status of the coal conveyor trestle according to the working parameters of the coal conveyor trestle; If it is the first-level operating state, set the first-level lighting strategy according to the associated model; If it is in the secondary operation state, the expected activity trajectory is generated and the secondary lighting strategy is set according to the expected activity trajectory.

3. The intelligent lighting system control method according to claim 2, characterized in that: When setting the primary lighting strategy based on the association model, it includes: Obtaining the location parameters of each device point and the lighting coverage area parameters of each lighting submodule, and constructing multiple lighting sub-areas; Establish a sequence of illumination sub-areas K, K = (k1, k2…k i …k n1 ), where ki is the i-th illumination sub-region; n1 is the number of illumination sub-regions; and n1<n; Extract all lighting sub-modules in the i-th lighting sub-area in sequence, and generate an association relationship table of the i-th lighting sub-area; Build an association model based on all association relationship tables; According to the association model, the alternation plan in the i-th lighting sub-area is sequentially set; Generate monitoring evaluation values ​​for each lighting sub-area; Set the lighting brightness of each lighting sub-area according to all monitoring and evaluation values; A primary lighting strategy is generated based on the overall alternation plan and the lighting brightness of each lighting sub-area.

4. The intelligent lighting system control method according to claim 3, characterized in that: When setting secondary lighting strategies based on expected activity patterns, include: According to the expected activity trajectory, a path equipment point number sequence A1 is established. 11 , a 12 …a 1i …a 1m ), where a1i is the i-th device point passed in the expected activity trajectory; m is the number of device points on the path; and m<n; Generate the environmental interference value of each device point and establish the environmental interference value series C, C = (c 11 , c 12 …c 1i …c 1m ), where c 1i is the environmental interference value of the i-th path device point; Set the lighting time period for each path device point according to the expected activity trajectory; According to the environmental interference value series C, the lighting brightness of each path equipment point is set; Generate a secondary lighting strategy.

5. The intelligent lighting system control method according to claim 4, characterized in that: When generating the failure risk value of each lighting submodule, it includes: Set bi as the target lighting submodule in turn; Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule; Generate a failure risk value for each lighting submodule; A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

6. The intelligent lighting system control method according to claim 5, characterized in that: When judging whether to generate a maintenance instruction based on all fault risk values, it includes: Generate maintenance evaluation value h according to fault risk value series F; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model; Preset the first maintenance evaluation value threshold H1; If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F; If h≤H1, no maintenance instruction is generated.

7. A smart lighting system, using the smart lighting system control method according to any one of claims 1 to 6, characterized in that: include: The central control unit is used to set multiple equipment points according to the equipment parameters of the coal handling trestle; A lighting unit, comprising a plurality of lighting submodules, wherein the lighting submodules are arranged at various equipment points; The lighting unit is used to control the internal brightness of the coal handling trestle; A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are connected to the lighting submodule; The monitoring submodule is used to collect environmental parameters of the equipment point and operating parameters of the lighting submodule; The central control unit comprises: The first processing module is used to establish a device point sequence A, A = (a1, a2...ai...an), where ai is the i-th device point and n is the number of device points.

8. The intelligent lighting system according to claim 7, characterized in that: The central control unit also includes: The second processing module is used to construct a correlation model of all lighting sub-modules; The third processing module is used to determine the operating state of the coal conveyor trestle according to the working parameters of the coal conveyor trestle; If it is the first-level operating state, set the first-level lighting strategy according to the associated model; If it is in the secondary operation state, generate the expected activity trajectory and set the secondary lighting strategy according to the expected activity trajectory; A fourth processing module, which obtains the operating parameters of each lighting submodule according to a preset time node, and generates a failure risk value of each lighting submodule; The first maintenance module is used to determine whether to generate a maintenance instruction according to all fault risk values.

9. The intelligent lighting system according to claim 8, characterized in that: The fourth processing module is further used for: Set bi as the target lighting submodule in turn; Generate a fault risk value f of the target lighting submodule at the current time node according to the operating parameters of the target lighting submodule; f=e1*Q1*βi*di+e2*Q2*U; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of characteristic monitoring indicators; βi is the influencing factor of the i-th characteristic monitoring indicator; di is the i-th characteristic monitoring indicator reference value of the target lighting submodule; U is the historical fault evaluation value of the target lighting submodule; Generate a failure risk value for each lighting submodule; A fault risk value sequence F of the current time node is established, where F=(f1, f2...fi...fn), wherein fi is the fault risk value of the i-th lighting submodule at the current time node.

10. The intelligent lighting system according to claim 9, characterized in that: The first maintenance module is also used for: Generate maintenance evaluation value h according to fault risk value series F; h=e3*Q3*(μi*fi)+e4*Q4*(μi*f'i) Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; μi is the influence factor of the i-th lighting submodule; f'i is the fault risk value of the i-th lighting submodule corrected based on the association model; Preset the first maintenance evaluation value threshold H1; If h>H1, a first-level maintenance instruction is generated according to the fault risk value sequence F; If h≤H1, no maintenance instruction is generated.

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