Energy-saving optimization system for LED bulb lamp

Abstract

The invention relates to the technical field of LED bulb lamp energy-saving optimization, and particularly discloses an LED bulb lamp energy-saving optimization system which comprises an illumination intensity confirmation module, a loading and unloading area partition confirmation module, a loading and unloading area brightness adjustment module, an illumination penetration type confirmation module, a storage area brightness adjustment module and a database. The illumination intensity of the warehouse is confirmed by combining the continuous change of natural lighting conditions along with weather, a core activity area and an edge area are finely divided according to the frequent activity condition of personnel in a loading and unloading area, and meanwhile, the areas to which goods shelves with different light transmission degrees belong are confirmed according to the number of layers of the goods shelves, the size of the goods shelves and the goods stacking condition in a storage area; finally, targeted LED bulb lamp brightness adjustment is conducted on the loading and unloading area and the storage area, the situation that improper illumination affects the overall operation efficiency of the loading and unloading area is avoided, the flexibility of LED bulb lamp brightness adjustment and the visual comfort degree of workers are improved, the operation cost of a warehouse is reduced, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving optimization of LED bulb lamps, and more specifically, to an energy-saving optimization system for LED bulb lamps. Background Art

[0002] In a warehouse scenario, to ensure the normal operation of tasks such as goods loading, unloading, and storage, sufficient and appropriate lighting is crucial. Traditional lighting methods often use fixed-brightness lamp settings, which cannot intelligently adapt to the complex and changing lighting requirements of the warehouse, resulting in serious energy waste and difficulty in continuously ensuring the best lighting effect. Therefore, there is an urgent need to develop an energy-saving system that can comprehensively consider various factors and dynamically optimize lighting.

[0003] There are also the following problems in the prior art: 1. When determining the light intensity in the loading and unloading areas and storage areas of the warehouse, the changing natural lighting conditions with different weather (sunny, cloudy, overcast, rainy) are not considered. The light intensity varies greatly under different weather conditions. Without considering the weather factor weighting and simply averaging the light intensity data of each monitoring point will result in the inability to accurately reflect the actual light situation, and it cannot provide effective data support for the subsequent brightness adjustment of LED bulb lamps in the loading and unloading areas and storage areas, reducing the accuracy of the subsequent brightness adjustment of LED bulb lamps.

[0004] 2. When adjusting the brightness of LED bulb lamps in the loading and unloading areas, the core activity area and the edge area in the loading and unloading areas are not finely divided according to the frequency of personnel activities in the loading and unloading areas. Therefore, the LED bulb lamps in different areas of the loading and unloading areas are not adjusted in a targeted manner. Inappropriate lighting will affect the overall operation efficiency of the loading and unloading areas, increase the probability of safety accidents, and at the same time increase the operating cost of the warehouse, reducing the energy utilization efficiency.

[0005] 3. When adjusting the brightness of LED bulb lamps in the storage area, the storage area does not perform targeted brightness adjustment of LED bulb lamps for areas belonging to shelves with different light transmittance according to the number of shelves, shelf size, and goods stacking conditions, which cannot meet the lighting requirements of areas belonging to shelves with different light transmittance, reducing the flexibility of the brightness adjustment of LED bulb lamps, affecting the visual comfort of workers, and thus making it difficult to accurately identify the details of goods. Summary of the Invention

[0006] In view of this, to solve the problems raised in the above background art, an energy-saving optimization system for LED bulb lamps is proposed.

[0007] The object of the present invention can be achieved by the following technical solutions: The present invention provides an energy-saving optimization system for an LED bulb lamp, including: a light intensity confirmation module, which is used to arrange monitoring points in the loading and unloading area and the storage area of the target warehouse respectively, collect the light intensity corresponding to each monitoring time period of each monitoring day in the current monitoring cycle at each monitoring point in the loading and unloading area and the storage area, extract the climate type corresponding to each monitoring day in the current monitoring cycle of the area where the target warehouse is located, and confirm the light intensity corresponding to each monitoring time period in the loading and unloading area and the storage area.

[0008] A loading and unloading area zoning confirmation module, which is used to obtain the coordinate values of each movement track point of each loader in the loading and unloading area during each monitoring time period, confirm the movement track range corresponding to the loading and unloading area during each monitoring time period, equally divide it into each area, collect the number of loaders entering and leaving each area and the duration of each stay of each loader in each area during each monitoring time period, and confirm each core activity area and each edge area in the loading and unloading area during each monitoring time period.

[0009] A loading and unloading area brightness adjustment module, which is used to extract the area of each core activity area and each edge area corresponding to the loading and unloading area during each monitoring time period and the number of LED bulb lamps installed, and adjust the brightness of the LED bulb lamps in each core activity area and each edge area in the loading and unloading area during each monitoring time period respectively.

[0010] A light penetration type confirmation module, which is used to extract the storage information corresponding to each shelf in the storage area, calculate the void ratio of the goods stack corresponding to each shelf in the storage area during each monitoring time period, and confirm the light penetration type corresponding to the area where each shelf in the storage area is located during each monitoring time period.

[0011] A storage area brightness adjustment module, which is used to collect the area, the number of LED bulb lamps and the light intensity of the ground in the area where each shelf in the storage area is located during each monitoring time period, and adjust the brightness of the LED bulb lamps in the area where each shelf in the storage area is located during each monitoring time period.

[0012] A database, which is used to store the weighted weights corresponding to the light intensity confirmation of each climate type, store the standard illumination light intensity corresponding to the core activity area and the edge area of the loading and unloading area respectively, store the luminous flux output of a single LED bulb lamp under the rated power, store the rated brightness of a single LED bulb lamp, store the standard illumination light intensity corresponding to the area where the shelves of the high penetration type and the low penetration type in the storage area are located respectively, and store the minimum light intensity required for the ground in the storage area.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) When confirming the light intensity in the loading and unloading area and the storage area of the warehouse, the present invention takes into account that the natural lighting conditions change continuously with the weather (sunny, cloudy, overcast, rainy), and considers the weather factor weighting, rather than simply averaging the light intensity data of each monitoring point, so as to avoid the result being unable to accurately reflect the actual lighting situation, provide effective data support for the subsequent brightness adjustment of the LED bulb lights in the loading and unloading area and the storage area, and improve the accuracy of the subsequent brightness adjustment of the LED bulb lights.

[0014] (2) When adjusting the brightness of the LED bulb lights in the loading and unloading area, the present invention finely divides the core activity area and the edge area in the loading and unloading area according to the frequency of personnel activities in the loading and unloading area, so as to perform targeted brightness adjustment of the LED bulb lights in different areas of the loading and unloading area, avoid inappropriate lighting affecting the overall operation efficiency of the loading and unloading area, reduce the probability of safety accidents, and at the same time reduce the operating cost of the warehouse and improve the energy utilization efficiency.

[0015] (3) When adjusting the brightness of the LED bulb lights in the storage area, the present invention performs targeted brightness adjustment of the areas belonging to the shelves with different light transmittance according to the number of shelves, the size of the shelves and the stacking status of the goods in the storage area, tries to meet the lighting needs of the areas belonging to the shelves with different light transmittance, improves the flexibility of the brightness adjustment of the LED bulb lights and the visual comfort of the staff, and thus helps the staff accurately identify the details of the goods. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic connection diagram of the system module structure of the present invention.

[0018] Figure 2 It is a schematic distribution diagram of the loading and unloading area and the storage area in the warehouse of the present invention.

[0019] BRIEF DESCRIPTION OF THE DRAWINGS: 1. Loading and unloading area, 2. Storage area, 3. Core activity area, 4. Edge area, 5. Shelf. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to Figure 1 As shown in the figure, the present invention provides an energy-saving optimization system for an LED bulb lamp, including: a light intensity confirmation module, a loading and unloading area partition confirmation module, a loading and unloading area brightness adjustment module, a light penetration type confirmation module, a storage area brightness adjustment module, and a database.

[0022] Both the light intensity confirmation module and the loading and unloading area partition confirmation module are connected to the loading and unloading area brightness adjustment module. Both the light intensity confirmation module and the light penetration type confirmation module are connected to the storage area brightness adjustment module. The light intensity confirmation module, the loading and unloading area brightness adjustment module, and the storage area brightness adjustment module are all connected to the database.

[0023] Please refer to Figure 2 As shown in the figure, the light intensity confirmation module is used to respectively arrange monitoring points in the loading and unloading area and the storage area of the target warehouse, collect the light intensity corresponding to each monitoring time period in each monitoring day within the current monitoring cycle at each monitoring point in the loading and unloading area and the storage area, extract the climate type corresponding to each monitoring day within the current monitoring cycle in the area where the target warehouse is located, and confirm the light intensity corresponding to each monitoring time period in the loading and unloading area and the storage area within the current monitoring cycle.

[0024] It should be noted that the light intensity corresponding to each monitoring time period in each monitoring day within the current monitoring cycle at each monitoring point in the loading and unloading area and the storage area is collected by an installed illuminometer, and the climate type corresponding to each monitoring day within the current monitoring cycle in the area where the target warehouse is located is extracted from the weather forecast.

[0025] In a specific embodiment of the present invention, the climate type includes but is not limited to sunny, cloudy, overcast, and rainy days.

[0026] In a specific embodiment of the present invention, the specific process of confirming the light intensity corresponding to each monitoring time period in the loading and unloading area and the storage area within the current monitoring cycle is as follows: Denote the light intensity corresponding to each monitoring time period in each monitoring day within the current monitoring cycle at each monitoring point in the loading and unloading area as , where represents the number of the monitoring point, , represents the number of the monitoring day, , represents the number of the monitoring time period, .

[0027] Match and compare the climate types corresponding to each monitoring day in the current monitoring period of the target warehouse area with the weighted weights confirmed for the light intensity corresponding to each climate type stored in the database, obtain the weighted weights confirmed for the light intensity corresponding to each monitoring day in the current monitoring period, and denote them as .

[0028] In a specific embodiment of the present invention, the weighted weights confirmed for the light intensity corresponding to each climate type stored in the database are as follows: the weight for sunny days can be set to 1, the weight for cloudy days is set to 0.8, the weight for overcast days is set to 0.6, and the weight for rainy days is set to 0.4. For example, if the climate type corresponding to each monitoring day in the current monitoring period of the target warehouse area is sunny, then the weighted weights confirmed for the light intensity corresponding to each monitoring day in the current monitoring period are 1.

[0029] Confirm the light intensity corresponding to each monitoring time period in the current monitoring period of the loading and unloading area , , where represents the number of monitoring points, represents the number of monitoring days.

[0030] In the same way as the confirmation method of the light intensity corresponding to each monitoring time period in the current monitoring period of the loading and unloading area, confirm the light intensity corresponding to each monitoring time period in the current monitoring period of the storage area .

[0031] In summary, the light intensity corresponding to each monitoring time period in the current monitoring period of the loading and unloading area and the storage area is obtained.

[0032] In the embodiment of the present invention, when confirming the light intensity of the loading and unloading area and the storage area in the warehouse, considering that the natural lighting conditions change continuously with the weather (sunny, cloudy, overcast, rainy), considering the weather factor weighting, rather than simply averaging the light intensity data of each monitoring point, avoiding the result from not accurately reflecting the actual light situation, providing effective data support for the subsequent brightness adjustment of the LED bulb lights in the loading and unloading area and the storage area, and improving the accuracy of the subsequent brightness adjustment of the LED bulb lights.

[0033] The loading and unloading area zoning confirmation module is used to obtain the coordinate values of each movement trajectory point of each loader in each monitoring time period in the loading and unloading area, confirm the movement trajectory range corresponding to each monitoring time period in the loading and unloading area, divide it into equal areas as each area, collect the number of loaders entering and leaving each area and the duration of each stay of each loader in each area in each monitoring time period in the loading and unloading area, and confirm each core activity area and each edge area in each monitoring time period in the loading and unloading area.

[0034] It should be noted that the method for collecting the coordinate values of each action trajectory point of each loader in each monitoring time period in the loading and unloading area is as follows: Install multiple monitoring cameras in the loading and unloading area. The cameras transmit the captured images to the image analysis system. When a loader appears in the camera's field of view, the position of the loader is identified through the target detection algorithm. According to the parameters of the camera and the pixel position of the loader in the image, the pixel coordinates are converted into actual space coordinate values through geometric methods such as perspective transformation, so as to obtain the coordinate values of each action trajectory point of each loader in each monitoring time period in the loading and unloading area.

[0035] It should also be noted that the method for collecting the number of loaders entering and leaving each area corresponding to each monitoring time period in the loading and unloading area and the duration of each stay of each loader is as follows: When a loader appears in the camera's field of view, track the movement trajectory of the loader. When the trajectory of the loader enters a certain area from outside the loading and unloading area, count the number of people entering; when the trajectory leaves a certain area and goes outside the loading and unloading area, count the number of people leaving; virtual detection lines can be set at the boundaries of each area. When the center of the bounding box of the loader crosses the detection line, it is judged as an entry or exit action, and the number of people entering and leaving is accumulated to obtain the number of loaders entering and leaving. When the trajectory of the loader enters a certain area from outside the loading and unloading area, record the time point at this time. When the trajectory leaves a certain area and goes outside the loading and unloading area, record the time point at this time. Compare the two time points to obtain the duration of this stay of the loader in a certain area, and so on, to obtain the duration of each stay of the loader in a certain area.

[0036] In a specific embodiment of the present invention, the specific method for confirming the action trajectory range corresponding to each monitoring time period in the loading and unloading area is as follows: Mark the coordinate values of each action trajectory point of each loader in each monitoring time period in the loading and unloading area on the two-dimensional plane map of the loading and unloading area, and connect the outermost points of the loader's action trajectory to form a polygon. The interior of this polygon is the action trajectory range corresponding to each monitoring time period in the loading and unloading area.

[0037] In a specific embodiment of the present invention, the specific process for confirming each core activity area and each edge area in each monitoring time period in the loading and unloading area is as follows: Based on the number of loaders entering and leaving each area corresponding to each monitoring time period in the loading and unloading area and the duration of each stay of each loader, calculate the worker activity frequency corresponding to each area in each monitoring time period in the loading and unloading area , where represents the area number, .

[0038] In a specific embodiment of the present invention, the specific process for calculating the worker activity frequency corresponding to each area in each monitoring time period in the loading and unloading area is as follows: Denote the number of loaders entering and leaving each area corresponding to each monitoring time period in the loading and unloading area as .

[0039] Calculate the average of the residence times of each loader in each area of the loading and unloading area during each monitoring time period to obtain the residence time of each loader in each area of the loading and unloading area corresponding to each monitoring time period, and extract the maximum value therefrom as the residence time of the loader in each area of the loading and unloading area during each monitoring time period, and denote it as .

[0040] Calculate the activity frequency of workers corresponding to each area of the loading and unloading area during each monitoring time period , , where and respectively represent the number of loaders entering and leaving the set reference and the residence time of the loader

[0041] Compare the activity frequency of workers corresponding to each area of the loading and unloading area during each monitoring time period with the set reference activity frequency of workers. If the activity frequency of workers corresponding to a certain area of the loading and unloading area during a certain monitoring time period is greater than or equal to the set reference activity frequency of workers, then mark the area of the loading and unloading area during that monitoring time period as the core activity area; otherwise, mark the area of the loading and unloading area during that monitoring time period as the marginal area. Thus, each core activity area and each marginal area of the loading and unloading area during each monitoring time period are obtained

[0042] The loading and unloading area brightness adjustment module is used to extract the area and the number of LED bulb lights installed corresponding to each core activity area and each marginal area of the loading and unloading area during each monitoring time period, and perform brightness adjustment on the LED bulb lights corresponding to each core activity area and each marginal area of the loading and unloading area during each monitoring time period

[0043] It should be noted that the area and the number of LED bulb lights installed corresponding to each core activity area and each marginal area of the loading and unloading area during each monitoring time period are respectively obtained by extracting from the loading and unloading area management manual of the target warehouse

[0044] In a specific embodiment of the present invention, the specific process of performing brightness adjustment on the LED bulb lights corresponding to each core activity area and each marginal area of the loading and unloading area during each monitoring time period is as follows: Extract the standard illumination intensity corresponding to the core activity area and the marginal area of the loading and unloading area from the database, and denote them as and .

[0045] Denote the area and the number of LED bulb lights installed corresponding to each core activity area of the loading and unloading area during each monitoring time period as and , where represents the number of the core activity area .

[0046] Extract the luminous flux output of a single LED bulb at the rated power from the database and denote it as 。

[0047] Confirm the brightness setting ratio of a single LED bulb in each core activity area of the loading and unloading area during each monitoring period , 。

[0048] Confirm the brightness setting ratio of a single LED bulb in each edge area of the loading and unloading area during each monitoring period wherein, represents the number of the edge area, 。

[0049] It should be noted that the specific process of confirming the brightness setting ratio of a single LED bulb in each edge area of the loading and unloading area during each monitoring period is as follows: Denote the area corresponding to each edge area of the loading and unloading area during each monitoring period and the number of installed LED bulbs as and 。

[0050] Confirm the brightness setting ratio of a single LED bulb in each edge area of the loading and unloading area during each monitoring period , 。

[0051] Set the brightness of a single LED bulb in each core activity area of the loading and unloading area during each monitoring period to of the rated brightness of a single LED bulb stored in the database to meet the lighting requirements. Similarly, set the brightness of a single LED bulb in each edge area of the loading and unloading area during each monitoring period to of the rated brightness of a single LED bulb stored in the database to meet the lighting requirements.

[0052] In the embodiment of the present invention, when adjusting the brightness of the LED bulbs in the loading and unloading area, the core activity area and the edge area in the loading and unloading area are finely divided according to the frequency of personnel activities in the loading and unloading area, so as to perform targeted brightness adjustment of the LED bulbs in different areas of the loading and unloading area, avoid inappropriate lighting from affecting the overall operation efficiency of the loading and unloading area, reduce the occurrence probability of safety accidents, and at the same time reduce the operation cost of the warehouse and improve the energy utilization efficiency.

[0053] The light penetration type confirmation module is used to extract the storage information corresponding to each shelf in the storage area, calculate the void ratio of the goods stack corresponding to each shelf in the storage area during each monitoring period, and confirm the light penetration type corresponding to the area where each shelf in the storage area belongs during each monitoring period.

[0054] In a specific embodiment of the present invention, the stored information includes the number of layers, as well as the length, width, height of each layer, and the stacked volume of goods in each monitoring time period.

[0055] It should be noted that the number of layers, as well as the length, width, and height of each layer, are extracted from the shelf management manual in the storage area.

[0056] It should also be noted that the acquisition method of the stacked volume of goods in each monitoring time period for each layer is as follows: Use a three-dimensional laser scanner to scan the goods in each layer in each monitoring time period, import the scanned images into a three-dimensional reconstruction system, and reconstruct a three-dimensional model of the stacked goods in each layer in each monitoring time period through software processing. Then, calculate the stacked volume of goods in each layer in each monitoring time period through software algorithms.

[0057] In a specific embodiment of the present invention, the specific process of calculating the stacking void ratio of goods corresponding to each shelf in the storage area in each monitoring time period is as follows: Extract the number of layers, as well as the length, width, height of each layer, and the stacked volume of goods in each monitoring time period from the stored information corresponding to each shelf in the storage area.

[0058] Accumulate the stacked volume of goods in each monitoring time period for each layer corresponding to each shelf in the storage area to obtain the stacked volume of goods corresponding to each shelf in the storage area in each monitoring time period.

[0059] Multiply the length, width, and height of each layer corresponding to each shelf in the storage area to obtain the storage volume of each layer corresponding to each shelf in the storage area. Accumulate the storage volumes of each layer corresponding to each shelf in the storage area to obtain the storage volume corresponding to each shelf in the storage area, and subtract it from the stacked volume of goods corresponding to each shelf in each monitoring time period to obtain the void volume corresponding to each shelf in the storage area in each monitoring time period.

[0060] Divide the void volume corresponding to each shelf in the storage area in each monitoring time period by the storage volume corresponding to each shelf to obtain the stacking void ratio of goods corresponding to each shelf in the storage area in each monitoring time period.

[0061] In a specific embodiment of the present invention, the method for confirming the light penetration type corresponding to each area where each shelf in the storage area is located in each monitoring time period is as follows: Compare the stacking void ratio of goods corresponding to each shelf in the storage area in each monitoring time period with the set reference stacking void ratio of goods. If the stacking void ratio of goods corresponding to a certain shelf in a certain monitoring time period is greater than or equal to the set reference stacking void ratio of goods, then record the light penetration type corresponding to the area where the shelf is located in that monitoring time period as high penetration; otherwise, record the light penetration type corresponding to the area where the shelf is located in that monitoring time period as low penetration. Thus, the light penetration type corresponding to each area where each shelf in the storage area is located in each monitoring time period is obtained.

[0062] The storage area brightness adjustment module is used to collect the area, the number of LED bulb lamps, and the light intensity of the ground in each monitoring time period within the area of each shelf in the storage area, and adjust the brightness of the LED bulb lamps within the area of each shelf in the storage area in each monitoring time period.

[0063] It should be noted that the area and the number of LED bulb lamps within the area of each shelf in the storage area are obtained by extracting from the storage area management manual of the target warehouse.

[0064] It should also be noted that the acquisition method of the light intensity of the ground within the area of each shelf in the storage area in each monitoring time period is as follows: randomly select the points to be measured on the ground within the area of each shelf in the storage area, horizontally place the sensor probe of the illuminometer on the randomly selected points to be measured in each monitoring time period, ensure that there is no object blocking the probe, turn on the illuminometer, wait for a period of time for the reading to stabilize, record the displayed light intensity value, and perform an average calculation on it to obtain the light intensity of the ground within the area of each shelf in the storage area in each monitoring time period.

[0065] In a specific embodiment of the present invention, the specific process of adjusting the brightness of the LED bulb lamps within the area of each shelf in the storage area in each monitoring time period is as follows: compare the light penetration type corresponding to each shelf area in the storage area in each monitoring time period with the standard illumination light intensity of the lighting within the area corresponding to the high penetration type and the low penetration type stored in the database in the storage area, obtain the standard illumination light intensity corresponding to each shelf area in the storage area in each monitoring time period, and denote it as , where represents the number of the shelf area, .

[0066] Extract the minimum light intensity required for the ground in the storage area from the database, and denote it as .

[0067] Denote the area, the number of LED bulb lamps, and the light intensity of the ground within the area of each shelf in the storage area in each monitoring time period as , and .

[0068] Confirm the brightness setting ratio of a single LED bulb lamp within each shelf area in the storage area in each monitoring time period, .

[0069] Set the brightness of a single LED bulb lamp within each shelf area in the storage area in each monitoring time period to to meet the lighting requirements.

[0070] In the embodiment of the present invention, when adjusting the brightness of the LED bulb lights in the storage area, the storage area performs targeted brightness adjustment of the LED bulb lights for the areas belonging to the shelves with different light transmittance according to the number of shelves, the size of the shelves, and the stacking condition of the goods, and tries its best to meet the lighting requirements of the areas belonging to the shelves with different light transmittance, improving the flexibility of the brightness adjustment of the LED bulb lights and the visual comfort of the staff, thereby helping the staff accurately identify the details of the goods.

[0071] The database is used to store the weighted weights corresponding to the confirmed lighting intensities of each climate type, store the standard lighting intensities corresponding to the core activity area and the edge area of the loading and unloading area respectively, store the luminous flux output of a single LED bulb light under the rated power, store the rated brightness of a single LED bulb light, store the standard lighting intensities in the areas belonging to the shelves corresponding to the high-penetration type and the low-penetration type in the storage area, and store the minimum lighting intensity required for the ground in the storage area. The data sources in the database of this embodiment are shown in Table 1.

[0072] Table 1 Data Sources in the Database

[0073]

[0074] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. An LED bulb energy-saving optimization system, characterized in that: include: The light intensity confirmation module sets up monitoring points in the loading and unloading area and storage area of ​​the target warehouse, collects the light intensity corresponding to each monitoring point in each monitoring time period, extracts the climate type corresponding to each monitoring day in the area where the target warehouse is located, and confirms the light intensity corresponding to each monitoring time period in the loading and unloading area and storage area; The loading and unloading area zoning confirmation module obtains the coordinate values ​​of each movement trajectory point of each stevedore in the loading and unloading area in each monitoring time period, confirms the movement trajectory range corresponding to the loading and unloading area, and divides it into different areas with equal areas. The number of stevedores entering and leaving each area of ​​the loading and unloading area and the length of stay of each stevedore are collected, and each core activity area and each edge area of ​​the loading and unloading area are confirmed; The loading and unloading area brightness adjustment module extracts the area corresponding to each core activity area and each edge area of ​​the loading and unloading area and the number of installed LED bulbs, and adjusts the brightness of the LED bulbs in each core activity area and each edge area of ​​the loading and unloading area respectively; The light penetration type confirmation module extracts the storage information corresponding to each shelf in the storage area, calculates the cargo stacking void ratio corresponding to each shelf, and confirms the light penetration type corresponding to the area to which each shelf belongs; The storage area brightness adjustment module collects the area of ​​each shelf, the number of LED bulbs and the ground light intensity, and adjusts the brightness of the LED bulbs in the area of ​​each shelf.

2. The LED bulb energy saving optimization system according to claim 1, characterized in that: The specific process of confirming the light intensity corresponding to each monitoring time period in the loading and unloading area and the storage area in the current monitoring cycle is as follows: The light intensity corresponding to each monitoring time period in each monitoring day of each monitoring point in the loading and unloading area during the current monitoring cycle is recorded as ,in, Indicates the number of the monitoring point. , Indicates the number of the monitoring day, , Indicates the number of the monitoring time period. ; The climate type corresponding to each monitoring day in the current monitoring cycle of the target warehouse area is matched and compared with the weighted weights of the light intensity confirmed for each climate type stored in the database, and the weighted weights of the light intensity confirmed for each monitoring day in the current monitoring cycle are obtained and recorded as ; Confirm the light intensity of the loading and unloading area corresponding to each monitoring time period in the current monitoring cycle , ,in, Indicates the number of monitoring points, Indicates the number of monitoring days; According to the confirmation method of the light intensity corresponding to each monitoring time period in the loading and unloading area during the current monitoring cycle, the light intensity corresponding to each monitoring time period in the storage area during the current monitoring cycle is confirmed in the same way. ; In summary, the light intensity corresponding to each monitoring time period in the current monitoring cycle in the loading and unloading area and the storage area is obtained.

3. The LED bulb energy saving optimization system according to claim 1, characterized in that: The specific method for confirming the range of movement trajectories corresponding to the loading and unloading area in each monitoring time period is as follows: marking the coordinate values ​​of each movement trajectory point of each loader and unloader in the loading and unloading area in each monitoring time period on a two-dimensional plane map of the loading and unloading area, and connecting the outermost points of the loader and unloader's movement trajectory to form a polygon, and the interior of this polygon is the range of movement trajectories corresponding to the loading and unloading area in each monitoring time period.

4. The LED bulb energy saving optimization system according to claim 2, characterized in that: The specific process of confirming each core activity area and each edge area of ​​the loading and unloading area in each monitoring time period is as follows: Based on the number of loaders entering and leaving each area of ​​the loading and unloading area in each monitoring time period and the length of each loader's stay, the activity frequency of workers in each area of ​​the loading and unloading area in each monitoring time period is calculated. ,in, Indicates the number of the area. ; The worker activity frequency corresponding to each area of ​​the loading and unloading area in each monitoring time period is compared with the set reference worker activity frequency. If the worker activity frequency corresponding to a certain area of ​​the loading and unloading area in a certain monitoring time period is greater than or equal to the set reference worker activity frequency, then the area of ​​the loading and unloading area in the monitoring time period is recorded as the core activity area; otherwise, the area of ​​the loading and unloading area in the monitoring time period is recorded as the edge area, thereby obtaining the core activity areas and edge areas of the loading and unloading area in each monitoring time period.

5. The LED bulb energy saving optimization system according to claim 4, characterized in that: The specific process of calculating the worker activity frequency corresponding to each area of ​​the loading and unloading area in each monitoring time period is as follows: The number of loaders entering and leaving the loading and unloading area in each monitoring period is recorded as ; The average of the length of stay of each stevedore in each area of ​​the loading and unloading area in each monitoring time period is calculated to obtain the length of stay of each stevedore in each area of ​​the loading and unloading area in each monitoring time period, and the maximum value is extracted as the length of stay of the stevedore in each area of ​​the loading and unloading area in each monitoring time period, and recorded as ; Calculate the frequency of worker activities in each area of ​​the loading and unloading area during each monitoring period , ,in, and They respectively represent the number of stevedores entering and leaving and the length of time the stevedores stay for the set reference.

6. The LED bulb energy saving optimization system according to claim 4, characterized in that: The specific process of adjusting the brightness of the LED bulbs in each core activity area and each edge area of ​​the loading and unloading area in each monitoring time period is as follows: The standard illumination intensities corresponding to the core activity area and edge area of ​​the loading and unloading area are extracted from the database and recorded as and ; The area corresponding to each core activity area in the loading and unloading area in each monitoring period and the number of installed LED bulbs are recorded as and ,in, Indicates the number of the core activity area, ; Extract the luminous flux output of a single LED bulb at rated power from the database and record it as ; Confirm the brightness setting ratio of single LED bulbs in each core activity area of ​​the loading and unloading area during each monitoring period , ; Confirm the brightness setting ratio of a single LED bulb in each edge area of ​​the loading and unloading area in each monitoring time period ,in, Indicates the number of the edge area, ; The brightness of a single LED bulb in each core activity area of ​​the loading and unloading area during each monitoring period is set to the rated brightness of a single LED bulb stored in the database. To meet the lighting needs, similarly, the brightness of the single LED bulb in each edge area of ​​the loading and unloading area in each monitoring time period is set to the rated brightness of the single LED bulb stored in the database. To meet lighting needs.

7. The LED bulb energy saving optimization system according to claim 2, characterized in that: The storage information includes the number of layers and the length, width, height of each layer and the cargo stacking volume in each monitoring time period.

8. The LED bulb energy saving optimization system according to claim 7, characterized in that: The specific process of calculating the cargo stacking void ratio corresponding to each shelf in the storage area in each monitoring time period is as follows: Extract the number of layers and the length, width, height of each layer and the cargo accumulation volume in each monitoring time period from the storage information corresponding to each shelf in the storage area; The cargo accumulation volume of each layer corresponding to each shelf in the storage area in each monitoring time period is accumulated to obtain the cargo accumulation volume corresponding to each shelf in the storage area in each monitoring time period; The length, width and height of each layer corresponding to each shelf in the storage area are multiplied to obtain the storage volume of each layer corresponding to each shelf in the storage area, the storage volume of each layer corresponding to each shelf in the storage area is accumulated to obtain the storage volume corresponding to each shelf in the storage area, and the storage volume is subtracted from the cargo accumulation volume corresponding to each shelf in each monitoring time period to obtain the void volume corresponding to each shelf in the storage area in each monitoring time period; The void volume corresponding to each shelf in the storage area in each monitoring time period is divided by the storage volume corresponding to each shelf to obtain the cargo stacking void ratio corresponding to each shelf in the storage area in each monitoring time period.

9. The LED bulb energy saving optimization system according to claim 8, characterized in that: The method for confirming the light penetration type corresponding to the area to which each shelf in the storage area belongs in each monitoring time period is as follows: comparing the cargo stacking void ratio corresponding to each shelf in the storage area in each monitoring time period with the cargo stacking void ratio of the set reference; if the cargo stacking void ratio corresponding to a certain shelf in a certain monitoring time period is greater than or equal to the cargo stacking void ratio of the set reference, then the light penetration type corresponding to the area to which the shelf belongs in the monitoring time period is recorded as high penetration; otherwise, the light penetration type corresponding to the area to which the shelf belongs in the monitoring time period is recorded as low penetration, thereby obtaining the light penetration type corresponding to the area to which each shelf in the storage area belongs in each monitoring time period.

10. The LED bulb energy saving optimization system according to claim 9, characterized in that: The specific process of adjusting the brightness of the LED bulbs in the area to which each shelf in the storage area belongs in each monitoring time period is as follows: The light penetration type corresponding to the area of ​​each shelf in the storage area in each monitoring time period is compared with the standard lighting intensity in the area corresponding to the high-penetration type and low-penetration type in the storage area stored in the database, and the standard lighting intensity corresponding to the area of ​​each shelf in the storage area in each monitoring time period is obtained and recorded as ,in, Indicates the number of the area to which the shelf belongs. ; The minimum required light intensity on the ground in the storage area is extracted from the database and recorded as ; The area of ​​each shelf in the storage area, the number of LED bulbs and the light intensity of the ground in each monitoring time period are recorded as , and ; Confirm the brightness setting ratio of a single LED bulb in each shelf area in the storage area during each monitoring time period , ; The brightness of a single LED bulb in each shelf area in the storage area during each monitoring period is set to the rated brightness of a single LED bulb stored in the database. To meet lighting needs.

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