Intelligent lighting control system based on electrolytic aluminum complex environment

Abstract

The invention relates to the technical field of illumination control, in particular to an intelligent illumination control system based on an electrolytic aluminum complex environment. According to the system, illumination power data of an illumination node at each moment is acquired through a data acquisition module; obtaining the light supply degree of each sub-preset neighborhood of each illumination node at the current moment through a light supply degree obtaining module; analyzing the light supply degree difference between each sub-preset neighborhood and other sub-preset neighborhoods in the preset local area where the sub-preset neighborhoods are located through a light intensity demand degree obtaining module to obtain the light intensity demand degree; and the target illumination power data acquisition module analyzes the light intensity demand degree of the illumination nodes to acquire target illumination power data of each illumination node at the next moment of the current moment, and illumination of the electrolytic aluminum workshop is remotely controlled. The illumination power of each illumination node in the electrolytic aluminum workshop is adjusted in real time by obtaining the target illumination power data, and the uniformity of the illumination intensity of the electrolytic aluminum workshop is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of lighting control technology, and in particular to an intelligent lighting control system based on the complex environment of electrolytic aluminum. Background Art

[0002] The aluminum smelting plant uses electrolysis to reduce alumina to metallic aluminum. This involves complex operational processes across various modules within the plant, necessitating remote control of the lighting system's operating power through an integrated control center and remote monitoring platform to achieve a balance between efficient production and green energy conservation. Furthermore, the aluminum smelting process is subject to extreme environmental conditions such as high temperatures, electromagnetic interference, severe dust, and mechanical vibration.

[0003] Electrolytic aluminum production is a complex industrial process that reduces alumina to metallic aluminum through electrolysis. Alumina dust continues to spread in the electrolytic aluminum workshop. The diffusion of alumina dust covers the surface of lamps and interferes with the lighting of lighting nodes, making the light intensity in the electrolytic aluminum workshop uneven, which easily causes the risk of visual fatigue for workers and is not conducive to accurate operation of the electrolytic aluminum production process. In order to ensure the stability of electrolytic aluminum production, it is necessary to accurately control the lighting in the electrolytic aluminum workshop.

[0004] In existing methods, light intensity sensors are used to provide feedback on the lighting conditions within the aluminum electrolysis workshop, and the lighting power within the workshop is then adjusted to ensure uniform light intensity within the workshop. However, in reality, the aluminum electrolysis workshop undergoes high-temperature chemical reactions, and the large currents within it generate a strong magnetic field. At the same time, large-tonnage overhead cranes operate frequently, causing mechanical vibrations on the roof and walls of the factory, which in turn leads to a large amount of metal dust near the electrolytic cells. Light intensity sensors are susceptible to dust contamination and magnetic field interference, and the coordination of light intensity between multiple lighting nodes is not considered. As a result, the light intensity obtained by the light intensity sensor is inaccurate, making it impossible to accurately adjust the lighting power of each lighting node within the aluminum electrolysis workshop. This can easily lead to uneven light intensity, increase the risk of visual fatigue among workers, and hinder accurate operation of electrolytic aluminum production. Summary of the Invention

[0005] In order to solve the technical problem of being unable to accurately adjust the lighting power of each lighting node in the electrolytic aluminum workshop, the purpose of the present invention is to provide an intelligent lighting control system based on the complex environment of electrolytic aluminum. The technical solution adopted is as follows:

[0006] An embodiment of the present invention provides a smart lighting control system based on the complex environment of electrolytic aluminum, which includes the following steps:

[0007] The data acquisition module is used to obtain the lighting power data of each lighting node at each moment in the electrolytic aluminum workshop;

[0008] A light supply level acquisition module is used to obtain the light supply level of each sub-preset neighborhood of each lighting node at the current moment based on the number and location of the electrolytic cells contained in each sub-preset neighborhood of each lighting node, the length of the usage time within a specified time period, and the length of the specified time period, as well as the lighting power data of each lighting node at the current moment. The specified time period is the time period between the current moment and the time when the lamp was last cleaned.

[0009] A light intensity requirement acquisition module is used to obtain the light intensity requirement of each sub-preset neighborhood of each lighting node at the current moment based on the difference in light supply levels between each sub-preset neighborhood of each lighting node and the sub-preset neighborhoods of other lighting nodes in the preset local area where the sub-preset neighborhood is located;

[0010] A target lighting power data acquisition module is used to obtain the target lighting power data of each lighting node at the next moment based on the light intensity demand of the sub-preset neighborhood of each lighting node and the difference in light intensity demand with the sub-preset neighborhood of other lighting nodes, and the lighting power data of each lighting node at the current moment;

[0011] The data processing module controls the lighting of the electrolytic aluminum workshop based on the target lighting power data.

[0012] Furthermore, the method for obtaining the light supply degree is:

[0013] For any lighting node and any sub-preset neighborhood of the lighting node, obtain the dust interference level of the sub-preset neighborhood at the current moment based on the number, location, and usage time of the electrolytic cells contained in the sub-preset neighborhood within the specified time period, as well as the duration of the specified time period;

[0014] According to the lighting power data of the lighting node at the current moment and the dust interference level of the sub-preset neighborhood, the light supply level of the sub-preset neighborhood at the current moment is obtained; wherein, the lighting power data is positively correlated with the light supply level, and the dust interference level is negatively correlated with the light supply level.

[0015] Furthermore, the method for obtaining the dust interference degree is:

[0016] The electrolytic cells corresponding to the sub-preset neighborhood are all used as reference electrolytic cells, and the Euclidean distance between the centroid of each reference electrolytic cell and the illumination node is obtained as the first distance;

[0017] The product of the reciprocal of the first distance mean and the number of reference electrolytic cells is used as the electrolytic cell influence degree of the sub-preset neighborhood;

[0018] The ratio of the duration of the specified time period to the duration of the specified interval between two adjacent cleanings of the lamp is used as the first lighting impact value at the current moment;

[0019] The average usage time of all reference electrolytic cells in the specified time period is used as the second illumination impact value of the sub-preset neighborhood at the current moment;

[0020] The result of normalizing the product of the electrolytic cell influence degree, the first illumination influence value, and the second illumination influence value is used as the dust interference degree of the sub-preset neighborhood at the current moment.

[0021] Furthermore, the method for obtaining the light intensity requirement is:

[0022] For any illumination node and any sub-preset neighborhood of the illumination node, the preset local area where the sub-preset neighborhood is located is used as the target local area;

[0023] Obtaining the average value of light supply levels of all sub-preset neighborhoods in the target local area as the first eigenvalue;

[0024] The difference between the first characteristic value and the light supply level of the sub-preset neighborhood is used as the light intensity requirement level of the sub-preset neighborhood at the current moment.

[0025] Furthermore, the method for acquiring the target lighting power data is:

[0026] For any lighting node, obtain the power adjustment direction label of the lighting node according to the light intensity requirement of each sub-preset neighborhood of the lighting node;

[0027] Obtaining a power adjustment amplitude of the illumination node according to a difference in light supply levels between the illumination node and sub-preset neighborhoods of other illumination nodes;

[0028] Obtaining an adjustment weight of the illumination node according to the power adjustment direction label and the power adjustment amplitude of the illumination node;

[0029] The product of the lighting power data of the lighting node at the current moment and the adjustment weight is used as the target lighting power data of the lighting node at the next moment after the current moment.

[0030] Furthermore, the method for obtaining the power adjustment direction label is:

[0031] Obtaining the average light intensity demand of all sub-preset neighborhoods of the lighting node as the overall light demand of the lighting node;

[0032] When the overall light demand is greater than or equal to 0, the power adjustment direction tag of the illumination node is set to 1;

[0033] When the overall light demand is less than 0, the power adjustment direction tag of the lighting node is set to -1.

[0034] Furthermore, the method for obtaining the power adjustment amplitude is:

[0035] Obtain the difference in overall light demand between the lighting node and each other lighting node, and use them as the first difference;

[0036] A result of adding and normalizing the first differences is used as the power adjustment amplitude of the illumination node.

[0037] Furthermore, the method for obtaining the adjustment weight is:

[0038] The product of the power adjustment direction label and the power adjustment amplitude of the illumination node is used as the power change degree of the illumination node;

[0039] The sum of the first preset constant and the power variation degree is used as the adjustment weight of the illumination node.

[0040] Furthermore, the method for obtaining the preset local area is:

[0041] Constructing a position mapping plane of the illumination nodes, and evenly setting light detection points between the illumination nodes in the position mapping plane; wherein each light detection point is the center point of the area enclosed by its four adjacent illumination nodes;

[0042] The closed area formed by connecting the four illumination nodes adjacent to each light detection point end to end is used as the preset local area.

[0043] Furthermore, the method for obtaining the sub-preset neighborhood is:

[0044] For any lighting node, a circular area with the lighting node as the center and a preset length as the radius is constructed as the preset neighborhood of the lighting node;

[0045] The four neighboring illumination nodes of the illumination node are connected in pairs through the illumination node to obtain two mutually perpendicular straight lines, and then the preset neighborhood of the illumination node is divided into four sub-neighborhoods, all of which serve as sub-preset neighborhoods of the illumination node.

[0046] The present invention has the following beneficial effects:

[0047] The present invention first obtains the light supply level of each sub-preset neighborhood at the current moment based on the number, location, usage time in a specified time period and length of the specified time period of the electrolytic cells contained in each sub-preset neighborhood of each lighting node, as well as the lighting power data of each lighting node at the current moment. On the basis of considering the interference of metal dust in the lamps, the present invention accurately reflects the light energy supply situation of the corresponding lighting node reflected by each sub-preset neighborhood at the current moment, which is conducive to the subsequent accurate analysis of the lighting uniformity of each lighting node and prepares for the accurate adjustment of the lighting power of each node of interest; and then obtains the light supply level of each sub-preset neighborhood of each lighting node at the current moment based on the difference in light supply level between each sub-preset neighborhood of each lighting node and the sub-preset neighborhood of other lighting nodes in its preset local area. The light intensity demand degree of the sub-preset neighborhood accurately reflects the need to adjust the light intensity of the corresponding lighting node reflected by each sub-preset neighborhood, and then according to the light intensity demand degree of the sub-preset neighborhood of each lighting node and the difference in light intensity demand degree with the sub-preset neighborhood of other lighting nodes, and the lighting power data of each lighting node at the current moment, the target lighting power data of each lighting node at the next moment of the current moment is accurately obtained, so that the lighting power of each lighting node in the electrolytic aluminum workshop can be adaptively adjusted in real time, effectively improving the uniformity of lighting in the electrolytic aluminum workshop, and then remotely controlling the lighting of the electrolytic aluminum workshop based on the target lighting power data, which greatly reduces the risk of visual fatigue of workers at work, thereby reducing the incidence of work accidents and improving the accuracy of electrolytic aluminum production operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. 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 any creative work.

[0049] Figure 1 This is a structural block diagram of an intelligent lighting control system based on the complex environment of electrolytic aluminum provided by one embodiment of the present invention;

[0050] Figure 2 A flow chart of a method for obtaining light supply level provided by one embodiment of the present invention;

[0051] Figure 3 A position mapping plan view of a set light detection point provided by one embodiment of the present invention;

[0052] Figure 4 A flow chart of a method for acquiring target lighting power data provided by one embodiment of the present invention;

[0053] Figure 5 A schematic diagram of a computer device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0054] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effectiveness of a smart lighting control system for the complex environment of electrolytic aluminum. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0055] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0056] The following describes in detail a specific solution of a smart lighting control system based on the complex environment of electrolytic aluminum provided by the present invention with reference to the accompanying drawings.

[0057] Example 1:

[0058] The specific implementation scenario of this embodiment is as follows: within an aluminum smelting workshop, lighting nodes are installed on the roof of the workshop and arranged in regular rows and columns. The lighting nodes in each row and column are all on a horizontal line, and the number of lighting nodes in each row and column is the same. Furthermore, in this embodiment, the lighting nodes are all in operation, and this embodiment is analyzed based on a single aluminum smelting workshop. It should be noted that all subsequent references to the same aluminum smelting workshop refer to the same workshop.

[0059] This invention proposes a smart lighting control system based on the complex environment of electrolytic aluminum. Figure 1 , which shows a structural block diagram of an intelligent lighting control system based on the complex environment of electrolytic aluminum provided by an embodiment of the present invention. The system includes: a data acquisition module 10, a light supply level acquisition module 20, a light intensity demand level acquisition module 30, a target lighting power data acquisition module 40 and a data processing module 50.

[0060] The data acquisition module 10 is used to obtain the lighting power data of each lighting node in the electrolytic aluminum workshop at each moment.

[0061] It is known that the electrolytic aluminum reaction in the electrolytic cell is the core process of the electrolytic aluminum workshop. Among them, alumina is the core raw material of electrolytic aluminum and exists in powder form. In the production of electrolytic aluminum, alumina is frequently added to the electrolytic cell through a conveying system. In this process, mechanical vibration and air flow disturbance will cause a large amount of alumina particles to be suspended, forming metal dust in the air. Although part of the metal dust is cleaned by the particle recovery system, due to the influence of the cleaning accuracy, some metal dust still exists in the air of the electrolytic aluminum workshop through diffusion and covers the surface of the lamps, resulting in uneven lighting in the electrolytic aluminum workshop, which in turn increases the risk of visual fatigue among workers in the electrolytic aluminum workshop, which is not conducive to accurate operation of the electrolytic aluminum production process.

[0062] In order to reduce the uneven lighting in the aluminum electrolytic workshop caused by metal dust, it is necessary to accurately adjust the lighting power of each lighting node. Therefore, this embodiment first obtains the lighting power data of each lighting node in the aluminum electrolytic workshop at each moment through the lighting system of the aluminum electrolytic workshop. In this embodiment, the time interval between two adjacent moments is set to 10 seconds. The implementer can set the time interval between two adjacent moments according to actual conditions, which is not limited here. Then, the aluminum electrolytic workshop data storage system is used to obtain the time interval from the current moment to the last cleaning of the lamp, as well as the usage time of each electrolytic cell after the last cleaning of the lamp. The location coordinate information of each lighting node and each electrolytic cell is further obtained through the aluminum electrolytic workshop mapping data system. Finally, all the obtained data is uploaded to the data acquisition system of the integrated control center and remote monitoring platform of the aluminum electrolytic workshop for subsequent analysis and adjustment of the lighting power of the lighting nodes.

[0063] The light supply level acquisition module 20 is used to obtain the light supply level of each sub-preset neighborhood at the current moment based on the number and location of the electrolytic cells contained in each sub-preset neighborhood of each lighting node, the usage time within the specified time period and the length of the specified time period, and the lighting power data of each lighting node at the current moment; the specified time period is the time period formed by the current moment and the moment when the lamp was last cleaned.

[0064] Specifically, in order to analyze whether there is uneven illumination intensity in the illumination area generated by each illumination node, so as to accurately analyze the lighting power of each illumination node, this embodiment divides the illumination area of ​​each illumination node. It is known that the illumination area of ​​an illumination node spreads outward from the illumination node as the center. Therefore, for any illumination node, this embodiment uses a circular area constructed with the illumination node as the center and a preset length as the radius as the preset neighborhood of the illumination node, i.e., the illumination area. This embodiment sets the preset length to 18 meters. The implementer can set the preset length according to actual conditions, and it is not limited here. Then, the four neighboring illumination nodes of the illumination node are connected in pairs through the illumination node to obtain two mutually perpendicular straight lines, and then the preset neighborhood of the illumination node is divided into four sub-neighborhoods, all of which serve as the sub-preset neighborhoods of the illumination node, so as to accurately analyze the illumination uniformity of the illumination node in the future.

[0065] It is known that the aluminum electrolytic workshop has good airtightness and is almost unaffected by wind, and metal dust moves irregularly inside the workshop. Therefore, when a sub-preset neighborhood of a certain lighting node corresponds to more electrolytic cells that generate metal dust and is closer to the lighting node, the sub-preset neighborhood reflects that the lighting node is more likely to be interfered with by metal dust; at the same time, considering that the lamps on the top of the aluminum electrolytic workshop, i.e., the lighting nodes, are usually set very high, the lamps in the aluminum electrolytic workshop are usually cleaned regularly and uniformly. When the time from the current moment to the last cleaning of the lamp is longer, the degree of interference caused by metal dust coverage at the lighting node at the current moment is greater; on the other hand, considering that the usage time of the electrolytic cell varies according to different task requirements, within the time period from the current moment to the last cleaning of the lamp, when the usage time of the electrolytic cell corresponding to the sub-preset neighborhood is longer, it further indicates that the lighting node is more severely interfered with by metal dust coverage. Furthermore, this embodiment analyzes the likelihood of metal dust interference at the corresponding lighting node, as reflected by each sub-preset neighborhood of each lighting node, based on the number, location, usage duration within a specified time period, and duration of the electrolytic cells contained within each sub-preset neighborhood. The specified time period is the period between the current moment and the moment the lamp was last cleaned. It should be noted that the electrolytic cells corresponding to each sub-preset neighborhood are those contained vertically downward from each sub-preset neighborhood.

[0066] When a sub-preset neighborhood of a certain lighting node is less susceptible to metal dust interference and the lighting power data of the lighting node at the current moment is greater, it means that the light energy supply to the sub-preset neighborhood at the current moment is stronger. Therefore, this embodiment obtains the light supply level of each sub-preset neighborhood at the current moment based on the number, location, usage time within a specified time period, and duration of the specified time period contained in each sub-preset neighborhood of each lighting node, as well as the lighting power data of each lighting node at the current moment. The greater the light supply level, the greater the lighting intensity of the corresponding lighting node reflected by the corresponding sub-preset neighborhood.

[0067] Preferably, in one possible implementation of this embodiment, the method for obtaining the light supply level is as follows: Figure 2 , which shows a flow chart of a method for obtaining light supply level provided by this embodiment, the method comprising the following steps:

[0068] Step S201: For any illumination node and any sub-preset neighborhood of the illumination node, obtain the dust interference level of the sub-preset neighborhood at the current moment based on the number, location and usage time of the electrolytic cells contained in the sub-preset neighborhood within the specified time period, as well as the length of the specified time period.

[0069] The greater the degree of dust interference, the greater the interference of the metal dust on the lighting node reflected by the sub-preset neighborhood at the current moment.

[0070] In one possible implementation of this embodiment, the method for obtaining the degree of dust interference is as follows: the electrolytic cells corresponding to the sub-preset neighborhood are all used as reference electrolytic cells, and the Euclidean distance between the centroid of each reference electrolytic cell and the illumination node is obtained, all of which are used as the first distance; it should be noted that the centroid of the reference electrolytic cell must be within the area vertically downward of the sub-preset neighborhood. In this embodiment, for electrolytic cells whose centroid is not within the area corresponding to the sub-preset neighborhood, it is assumed that they are not reference electrolytic cells. Among them, the methods for obtaining the centroid and the Euclidean distance are both well-known technologies and will not be described in detail. The smaller the first distance, the greater the influence of the electrolytic cell on the sub-preset neighborhood. At the same time, when the number of reference electrolytic cells is greater, the sub-preset neighborhood is also more affected by the electrolytic cell. Then, in this embodiment, the product of the inverse of the mean of the first distance and the number of reference electrolytic cells is used as the degree of influence of the electrolytic cell on the sub-preset neighborhood; the greater the degree of influence of the electrolytic cell, the greater the metal dust interference on the illumination node reflected by the sub-preset neighborhood;

[0071] In order to more accurately analyze the degree of metal dust interference to the lighting node reflected by the sub-preset neighborhood, the ratio of the length of the specified time period to the specified interval between two adjacent lamp cleanings is used as the first lighting impact value at the current moment; the larger the first lighting impact value, the longer the lighting node has been since the last cleaning, which indirectly indicates that the degree of metal dust interference reflected by the sub-preset neighborhood is greater; wherein, the specified interval between two adjacent lamp cleanings is known. The average of the usage time of all reference electrolytic cells within the specified time period is further used as the second lighting impact value of the sub-preset neighborhood at the current moment; the larger the second lighting impact value, the greater the degree of metal dust interference reflected by the sub-preset neighborhood.

[0072] To accurately represent the metal dust interference level of the illumination node reflected by the sub-preset neighborhood at the current moment, the product of the electrolytic cell influence level, the first illumination influence value, and the second illumination influence value is normalized to serve as the dust interference level of the sub-preset neighborhood at the current moment. This embodiment normalizes the product of the electrolytic cell influence level, the first illumination influence value, and the second illumination influence value using the norm normalization function.

[0073] Step S202: Based on the lighting power data of the lighting node at the current moment and the dust interference level of the sub-preset neighborhood, obtain the light supply level of the sub-preset neighborhood at the current moment; wherein, the lighting power data is positively correlated with the light supply level, and the dust interference level is negatively correlated with the light supply level.

[0074] When the lighting power data of the lighting node at the current moment is larger and the dust interference level of the sub-preset neighborhood is smaller, it means that the lighting intensity of the lighting node reflected by the sub-preset neighborhood is larger. Then, this embodiment obtains the light supply level of the sub-preset neighborhood at the current moment based on the lighting power data of the lighting node at the current moment and the dust interference level of the sub-preset neighborhood; wherein, the lighting power data and the light supply level are positively correlated, and the dust interference level and the light supply level are negatively correlated. Then, the calculation formula of the light supply level is: G a,i =norm(P a ×exp(-Q a,i )); where G a,i P is the light supply level of the ith preset neighborhood of the ath lighting node at the current moment; a is the lighting power data of the ath lighting node at the current moment; Q a,i is the dust interference degree of the i-th preset neighborhood of the a-th lighting node at the current moment; exp is an exponential function with a natural constant as the base; norm is the normalization function.

[0075] At this point, the light supply level of each sub-preset neighborhood at the current moment is obtained.

[0076] The light intensity requirement acquisition module 30 is used to obtain the light intensity requirement of each sub-preset neighborhood of each lighting node at the current moment based on the difference in light supply level between each sub-preset neighborhood of each lighting node and the sub-preset neighborhoods of other lighting nodes in its preset local area.

[0077] Specifically, under the condition of uniform illumination, the illumination intensity of the sub-preset neighborhood of the adjacent illumination node should be the same, which indirectly means that the light supply level of the sub-preset neighborhood of the adjacent illumination node should also be the same. In order to make the illumination of the electrolytic aluminum workshop uniform, the lighting power of each illumination node is accurately adjusted. Then, this embodiment constructs a position mapping plane of the illumination node, and evenly sets light detection points between the illumination nodes in the position mapping plane, such as Figure 3 The figure shows a positional mapping diagram of the set light detection points. Each light detection point is the center point of the area enclosed by its four neighboring illumination nodes. The closed area formed by connecting the four illumination nodes adjacent to each light detection point end to end is considered the preset local area. Therefore, a preset local area contains four sub-preset neighborhoods, and the illumination nodes corresponding to each of the four sub-preset neighborhoods are different.

[0078] For any preset local area, the uniformity of illumination within the preset local area is determined by the four illumination nodes that construct the preset local area. The smaller the light supply level of a sub-preset neighborhood in the preset local area relative to the light supply levels of other sub-preset neighborhoods in the preset local area, the higher the illumination demand of the illumination node corresponding to the sub-preset neighborhood. Therefore, this embodiment obtains the light intensity demand of each sub-preset neighborhood at the current moment based on the difference in light supply levels between each sub-preset neighborhood of each illumination node and the sub-preset neighborhoods of other illumination nodes in the preset local area. The greater the light intensity demand, the greater the illumination power required for the corresponding illumination node reflected by the corresponding sub-preset neighborhood at the current moment.

[0079] Preferably, in a method that can be implemented in this embodiment, the method for obtaining the light intensity requirement degree is: for any lighting node and any sub-preset neighborhood of the lighting node, the preset local area where the sub-preset neighborhood is located is used as the target local area; the average value of the light supply degree of all sub-preset neighborhoods in the target local area is obtained as the first eigenvalue; the difference between the first eigenvalue and the light supply degree of the sub-preset neighborhood is used as the light intensity requirement degree of the sub-preset neighborhood at the current moment.

[0080] At this point, the light intensity requirement of each sub-preset neighborhood at the current moment is obtained.

[0081] The target lighting power data acquisition module 40 is used to obtain the target lighting power data of each lighting node at the next moment based on the light intensity requirement level of the sub-preset neighborhood of each lighting node and the difference in light intensity requirement level with the sub-preset neighborhood of other lighting nodes, and the lighting power data of each lighting node at the current moment.

[0082] Specifically, when the light intensity requirements of the sub-preset neighborhoods of a certain illumination node are greater, that is, the average of the light intensity requirements of the sub-preset neighborhoods of the illumination node is greater than or equal to 0, it means that the lighting power of the illumination node at the current moment is too low and needs to be increased; when the light intensity requirements of the sub-preset neighborhoods of the illumination node are smaller, that is, the average of the light intensity requirements of the sub-preset neighborhoods of the illumination node is less than 0, it means that the lighting power of the illumination node at the current moment is too high and needs to be reduced. Therefore, this embodiment determines the adjustment direction of the lighting power of each illumination node according to the light intensity requirements of the sub-preset neighborhood of each illumination node.

[0083] The greater the difference between the light intensity requirement of a certain lighting node's sub-preset neighborhood and the light intensity requirement of other lighting nodes, the greater the lighting power control range of the lighting node should be in order to ensure uniform lighting in the electrolytic aluminum workshop.

[0084] Furthermore, this embodiment obtains the target lighting power data of each lighting node at the next moment based on the light intensity demand level of the sub-preset neighborhood of each lighting node, the difference in light intensity demand levels with the sub-preset neighborhoods of other lighting nodes, and the lighting power data of each lighting node at the current moment, so as to accurately adjust the lighting system of the electrolytic aluminum workshop subsequently.

[0085] Preferably, in one possible implementation of this embodiment, the method for obtaining target lighting power data is as follows: Figure 4 , which shows a flow chart of a method for obtaining target lighting power data provided by this embodiment, the method comprising the following steps:

[0086] Step S401: For any illumination node, a power adjustment direction label of the illumination node is obtained according to the light intensity requirement of each sub-preset neighborhood of the illumination node.

[0087] It is known that when the light intensity requirements of the sub-preset neighborhoods of a certain lighting node are greater, it means that the lighting power of the lighting node needs to be positively adjusted; when the light intensity requirements of the sub-preset neighborhoods of the lighting node are smaller, it means that the lighting power of the lighting node needs to be negatively adjusted. Therefore, this embodiment obtains the power adjustment direction label of the lighting node according to the light intensity requirements of each sub-preset neighborhood of the lighting node.

[0088] Preferably, in one implementation method of this embodiment, the method for obtaining the power adjustment direction label is: obtain the average of the light intensity demand levels of all sub-preset neighborhoods of the illumination node as the overall light demand level of the illumination node; when the overall light demand level is greater than or equal to 0, set the power adjustment direction label of the illumination node to 1; when the overall light demand level is less than 0, set the power adjustment direction label of the illumination node to -1.

[0089] Step S402: obtaining a power adjustment amplitude of the illumination node according to a difference in light supply levels between the illumination node and sub-preset neighborhoods of other illumination nodes.

[0090] To ensure a reasonable degree of power adjustment for the lighting node and uniform lighting intensity within the aluminum electrolytic workshop, this embodiment analyzes the difference in light supply between the preset sub-neighborhood of the lighting node and the preset sub-neighborhoods of other lighting nodes. The more significant the difference, the greater the degree of adjustment required for the lighting power of the lighting node. Furthermore, this embodiment obtains a power adjustment range for the lighting node based on the difference in light supply between the preset sub-neighborhoods of the lighting node and the other lighting nodes. The larger the power adjustment range, the greater the range over which the lighting power of the lighting node needs to be adjusted.

[0091] Preferably, in one possible implementation of this embodiment, the power adjustment amplitude is obtained by obtaining the absolute value of the difference between the overall light demand of the illumination node and each other illumination node, each as a first difference; then, the first differences are added together and normalized to obtain the result as the power adjustment amplitude of the illumination node. In this embodiment, the result of the addition of the first differences is normalized using the norm normalization function.

[0092] Step S403: acquiring the adjustment weight of the illumination node according to the power adjustment direction label and the power adjustment amplitude of the illumination node.

[0093] It is known that the adjustment direction of the lighting power of the lighting node can be determined by the power adjustment direction label, that is, whether to increase or decrease the lighting power of the lighting node; the adjustment amplitude of the lighting power of the lighting node can be determined by the power adjustment amplitude. Then, this embodiment obtains the adjustment weight of the lighting node according to the power adjustment direction label and power adjustment amplitude of the lighting node, so that the lighting power of the lighting node can be accurately adjusted subsequently, thereby ensuring the uniform lighting of the electrolytic aluminum workshop in real time.

[0094] Preferably, in one possible implementation of this embodiment, the adjustment weight is obtained by multiplying the power adjustment direction label and the power adjustment amplitude of the illumination node as the power change degree of the illumination node; and then adding the first preset constant and the power change degree as the adjustment weight of the illumination node. In this embodiment, the first preset constant is set to 1. The implementer can set the value of the first preset constant based on actual conditions and is not limited here, but the first preset constant must be greater than or equal to 1.

[0095] Step S404: The product of the lighting power data of the lighting node at the current moment and the adjustment weight is used as the target lighting power data of the lighting node at the next moment after the current moment.

[0096] The known adjustment weight accurately reflects the degree to which the lighting power of the lighting node needs to be adjusted, and then the product of the lighting power data of the lighting node at the current moment and the adjustment weight is used as the target lighting power data of the lighting node at the next moment after the current moment.

[0097] It should be noted that in order to ensure that the adjusted lighting power still meets the lighting requirements of the electrolytic aluminum equipment, it is necessary to limit the adjustable range of the lighting power. This embodiment limits the lighting power adjustment range of each lighting node to no more than 10% of the initial operating lighting power.

[0098] At this point, the target lighting power data of each lighting node at the next moment is obtained, which effectively improves the uniformity of light intensity in the electrolytic aluminum workshop, reduces the risk of visual fatigue of workers, and is conducive to accurate operation of the electrolytic aluminum process.

[0099] The data processing module 50 controls the lighting of the electrolytic aluminum workshop based on the target lighting power data.

[0100] Specifically, the integrated control center and remote monitoring platform of the electrolytic aluminum workshop obtain the real-time lighting power of each lighting node in the electrolytic aluminum workshop through the above steps, and upload the calculated target lighting power data from the integrated control center and the remote monitoring platform to the smart terminal. The management personnel can view the status of the lighting equipment in real time through the smart terminal, remotely adjust the lighting system, and improve the uniformity and stability of the lighting in the electrolytic aluminum workshop.

[0101] In summary, this embodiment acquires the lighting power data of the lighting node at each moment through the data acquisition module; acquires the light supply level of each sub-preset neighborhood of each lighting node at the current moment through the light supply level acquisition module; acquires the light intensity demand level by analyzing the difference in light supply level between each sub-preset neighborhood and other sub-preset neighborhoods within its preset local area through the light intensity demand level acquisition module; and acquires the target lighting power data of each lighting node at the next moment after the current moment through the target lighting power data acquisition module, thereby remotely controlling the lighting of the electrolytic aluminum workshop. By acquiring the target lighting power data, the present invention adjusts the lighting power of each lighting node in the electrolytic aluminum workshop in real time, effectively improving the uniformity of the lighting intensity in the electrolytic aluminum workshop.

[0102] Example 2:

[0103] The present invention also proposes a smart lighting control device for the complex environment of electrolytic aluminum. The device includes a memory and a processor. The memory stores executable program code, and the processor is configured to call and execute the executable program code to implement the smart lighting control system for the complex environment of electrolytic aluminum provided by the embodiments of this application. The device can be a chip, component, or module. The chip may include a connected processor and memory. The memory is configured to store instructions. When the processor calls and executes the instructions, the chip executes the smart lighting control system for the complex environment of electrolytic aluminum provided by the embodiments above.

[0104] In addition, the present application also protects a computer device, see Figure 5 The computer device includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and running on the processor 402, wherein when the processor 402 executes the computer program 403, the computer device can execute any of the aforementioned smart lighting control systems based on the complex environment of electrolytic aluminum.

[0105] Example 3:

[0106] The present invention also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement an intelligent lighting control system based on the complex environment of electrolytic aluminum provided by the above embodiment.

[0107] Example 4:

[0108] The present invention also provides a computer program product. When the computer program product runs on a computer, it enables the computer to execute the above-mentioned related steps to implement an intelligent lighting control system based on the complex environment of electrolytic aluminum provided in the above embodiment.

[0109] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0110] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0111] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A smart lighting control system based on the complex environment of electrolytic aluminum, characterized by: The system includes the following steps: The data acquisition module is used to obtain the lighting power data of each lighting node at each moment in the electrolytic aluminum workshop; A light supply level acquisition module is used to obtain the light supply level of each sub-preset neighborhood of each lighting node at the current moment based on the number and location of the electrolytic cells contained in each sub-preset neighborhood of each lighting node, the length of the usage time within a specified time period, and the length of the specified time period, as well as the lighting power data of each lighting node at the current moment. The specified time period is the time period between the current moment and the time when the lamp was last cleaned. A light intensity requirement acquisition module is used to obtain the light intensity requirement of each sub-preset neighborhood of each lighting node at the current moment based on the difference in light supply levels between each sub-preset neighborhood of each lighting node and the sub-preset neighborhoods of other lighting nodes in the preset local area where the sub-preset neighborhood is located; A target lighting power data acquisition module is used to obtain the target lighting power data of each lighting node at the next moment based on the light intensity demand of the sub-preset neighborhood of each lighting node and the difference in light intensity demand with the sub-preset neighborhood of other lighting nodes, and the lighting power data of each lighting node at the current moment; The data processing module controls the lighting of the electrolytic aluminum workshop based on the target lighting power data.

2. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 1, characterized in that: The method for obtaining the light supply level is: For any lighting node and any sub-preset neighborhood of the lighting node, obtain the dust interference level of the sub-preset neighborhood at the current moment based on the number, location, and usage time of the electrolytic cells contained in the sub-preset neighborhood within the specified time period, as well as the duration of the specified time period; According to the lighting power data of the lighting node at the current moment and the dust interference level of the sub-preset neighborhood, the light supply level of the sub-preset neighborhood at the current moment is obtained; wherein, the lighting power data is positively correlated with the light supply level, and the dust interference level is negatively correlated with the light supply level.

3. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 2, characterized in that: The method for obtaining the dust interference degree is: The electrolytic cells corresponding to the sub-preset neighborhood are all used as reference electrolytic cells, and the Euclidean distance between the centroid of each reference electrolytic cell and the illumination node is obtained as the first distance; The product of the reciprocal of the first distance mean and the number of reference electrolytic cells is used as the electrolytic cell influence degree of the sub-preset neighborhood; The ratio of the duration of the specified time period to the duration of the specified interval between two adjacent cleanings of the lamp is used as the first lighting impact value at the current moment; The average usage time of all reference electrolytic cells in the specified time period is used as the second illumination impact value of the sub-preset neighborhood at the current moment; The result of normalizing the product of the electrolytic cell influence degree, the first illumination influence value, and the second illumination influence value is used as the dust interference degree of the sub-preset neighborhood at the current moment.

4. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 1, characterized in that: The method for obtaining the light intensity requirement is: For any illumination node and any sub-preset neighborhood of the illumination node, the preset local area where the sub-preset neighborhood is located is used as the target local area; Obtaining the average value of light supply levels of all sub-preset neighborhoods in the target local area as the first eigenvalue; The difference between the first characteristic value and the light supply level of the sub-preset neighborhood is used as the light intensity requirement level of the sub-preset neighborhood at the current moment.

5. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 1, characterized in that: The method for obtaining the target lighting power data is: For any lighting node, obtain the power adjustment direction label of the lighting node according to the light intensity requirement of each sub-preset neighborhood of the lighting node; Obtaining a power adjustment amplitude of the illumination node according to a difference in light supply levels between the illumination node and sub-preset neighborhoods of other illumination nodes; Obtaining an adjustment weight of the illumination node according to the power adjustment direction label and the power adjustment amplitude of the illumination node; The product of the lighting power data of the lighting node at the current moment and the adjustment weight is used as the target lighting power data of the lighting node at the next moment after the current moment.

6. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 5, characterized in that: The method for obtaining the power adjustment direction label is as follows: Obtaining the average light intensity demand of all sub-preset neighborhoods of the lighting node as the overall light demand of the lighting node; When the overall light demand is greater than or equal to 0, the power adjustment direction tag of the illumination node is set to 1; When the overall light demand is less than 0, the power adjustment direction tag of the lighting node is set to -1.

7. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 6, characterized in that: The method for obtaining the power adjustment amplitude is: Obtain the difference in overall light demand between the lighting node and each other lighting node, and use them as the first difference; A result of adding and normalizing the first differences is used as the power adjustment amplitude of the illumination node.

8. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 5, characterized in that: The method for obtaining the adjustment weight is: The product of the power adjustment direction label and the power adjustment amplitude of the illumination node is used as the power change degree of the illumination node; The sum of the first preset constant and the power variation degree is used as the adjustment weight of the illumination node.

9. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 1, characterized in that: The method for obtaining the preset local area is: Constructing a position mapping plane of the illumination nodes, and evenly setting light detection points between the illumination nodes in the position mapping plane; wherein each light detection point is the center point of the area enclosed by its four adjacent illumination nodes; The closed area formed by connecting the four illumination nodes adjacent to each light detection point end to end is used as the preset local area.

10. The intelligent lighting control system based on the complex environment of electrolytic aluminum according to claim 1, characterized in that: The method for obtaining the sub-preset neighborhood is: For any lighting node, a circular area with the lighting node as the center and a preset length as the radius is constructed as the preset neighborhood of the lighting node; The four neighboring illumination nodes of the illumination node are connected in pairs through the illumination node to obtain two mutually perpendicular straight lines, and then the preset neighborhood of the illumination node is divided into four sub-neighborhoods, all of which serve as sub-preset neighborhoods of the illumination node.

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