An Internet of Things intelligent street lamp networking and linkage dimming control system and method

Abstract

The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system and method, including: a road division module for dividing a target road management section according to different road types to obtain road sections corresponding to different road types; a strategy generation module for obtaining the road environment characteristics of each road section and determining a control strategy for the brightness of the intelligent street lamp based on the road environment characteristics; and a control module for generating a brightness control instruction according to the control strategy and transmitting the brightness control instruction to the intelligent street lamps of each road section through the Internet of Things for brightness control. This ensures that the intelligent street lamp outputs appropriate light intensity on appropriate road sections, improves the comfort of road users. At the same time, it can control different illumination intensities for different situations, effectively achieving the purpose of energy conservation, without causing waste of electric energy, etc. Moreover, by controlling the intelligent street lamp through the Internet of Things, the intelligence and accuracy of the intelligent street lamp are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly relates to an Internet of Things intelligent street lamp networking and linkage dimming control system and method. Background Art

[0002] At present, with the continuous development of technology, street lamps, as an important part of road infrastructure, have an increasing demand for intelligence, thus effectively improving the management and control of street lamps;

[0003] However, the required light intensity and the like corresponding to different road types are different due to surrounding environmental factors. For example, in urban roads, due to the presence of light in various office buildings and other factors, the light intensity of street lamps does not need to be too bright. However, for urban expressways, rural roads, etc., since there is no external light source, if the appropriate light intensity is not provided, it will affect the normal traffic on the road. The traditional management method has low efficiency and is difficult to achieve precise control and real-time monitoring of street lamps corresponding to different road types.

[0004] Therefore, in order to overcome the above technical problems, the present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system and method. Summary of the Invention

[0005] The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system and method, which is used to divide the target road management section according to different road types to determine the road sections corresponding to different road types, determine the road environmental characteristics of the determined road sections, provide a reference basis and data support for determining the control strategy for the brightness of intelligent street lamps, ensure the adaptability and reliability of the finally obtained control strategy, and finally, effectively control the brightness of intelligent street lamps through the obtained control strategy, ensure that the intelligent street lamps output appropriate light intensity on appropriate sections, improve the comfort of road users. At the same time, it can control different light intensities according to different situations, effectively achieve the purpose of energy saving, and will not cause waste of electric energy and the like. Moreover, by controlling intelligent street lamps through the Internet of Things, the intelligence and accuracy of intelligent street lamps are effectively improved.

[0006] The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system, including:

[0007] A road division module, configured to divide the target road management section according to different road types to obtain road sections corresponding to different road types;

[0008] A strategy generation module, configured to obtain the road environmental characteristics of each road section and determine the control strategy for the brightness of intelligent street lamps based on the road environmental characteristics;

[0009] The control module is used to generate brightness control instructions according to the control strategy and transmit the brightness control instructions to the intelligent street lights of each road section via the Internet of Things for brightness control.

[0010] Preferably, an Internet of Things intelligent street light networking and linkage dimming control system includes: a control center terminal, m section intelligent street light control terminals, and n intelligent street light control terminals for each road section;

[0011] Among them, m < n, the control strategy for the brightness of the intelligent street lights is loaded at the control center terminal, and brightness control instructions are generated based on the control center terminal.

[0012] Preferably, an Internet of Things intelligent street light networking and linkage dimming control system includes:

[0013] The output interface of the control center terminal is bidirectionally and distributively connected to the input interfaces of m section intelligent street light control terminals according to the Internet of Things;

[0014] The output interface of each section intelligent street light control terminal is unidirectionally and distributively connected to the input interfaces of n intelligent street light control terminals of the corresponding road section according to the Internet of Things;

[0015] The output interface of each intelligent street light control terminal is connected to the input interface of the corresponding intelligent street light according to the Internet of Things, where the intelligent street light control terminal is connected to the intelligent street light in a one-to-one correspondence.

[0016] Preferably, an Internet of Things intelligent street light networking and linkage dimming control system includes:

[0017] Generate brightness control instructions for each section intelligent street light control terminal based on the control center terminal, and transmit the brightness control instructions to the corresponding section intelligent street light control terminal according to the Internet of Things;

[0018] Determine in real time whether the intelligent street lights of the corresponding road section are operating normally according to the corresponding section intelligent street light control terminal, and transmit the brightness control instructions to the target intelligent street light control terminal corresponding to the normally operating intelligent street lights. At the same time, control the normally operating intelligent street lights according to the target intelligent street light control terminal;

[0019] Generate a street light fault report according to the section intelligent street light control terminal and transmit the street light fault report back to the control center terminal.

[0020] Preferably, for an Internet of Things intelligent street light networking and linkage dimming control system, the road division module includes:

[0021] The simulation area acquisition unit is used to acquire the simulation area of the target road management section, locate the road set in the simulation area, and at the same time, read the road identification of each road;

[0022] A road attribute determination unit for inputting road identifiers into a road information management library for matching to determine the road attributes of each road in the road set;

[0023] A road type determination unit for:

[0024] Obtaining a preset road type attribute set;

[0025] Respectively inputting the road attributes of each road in the road set into the preset road type attribute set for matching to determine the road types that match the road attributes;

[0026] Adding road labels to each road in the simulation area according to the road type;

[0027] A division unit for dividing roads in the simulation area based on road labels according to the addition result to obtain road segments corresponding to different road types.

[0028] Preferably, an Internet of Things intelligent street lamp networking and linkage dimming control system, a simulation area acquisition unit, including:

[0029] An image acquisition and sorting sub-unit for acquiring multiple top-view image sets of a target road management section, sorting the multiple top-view image sets according to the position distribution characteristics of the target road management section, and simultaneously obtaining a first simulation area according to the sorting result;

[0030] An image processing sub-unit for obtaining the pixel point distribution state of the first simulation area, locating the overlapping area in the first simulation area according to the pixel point distribution state, removing the overlapping area according to the positioning result to obtain a second simulation area, and simultaneously performing image denoising processing on the second simulation area to obtain a third simulation area;

[0031] A labeling sub-unit for performing road area labeling and non-road area labeling in the third simulation area and obtaining the simulation area of the target road management section according to the labeling result.

[0032] Preferably, an Internet of Things intelligent street lamp networking and linkage dimming control system, a strategy generation module, including:

[0033] A monitoring unit for:

[0034] Obtaining the road attitude characteristics of each road segment and determining the key position points of each road segment based on the road attitude characteristics;

[0035] Generating a monitoring node layout map for each road segment based on the key position points and guiding the deployment of monitoring sensors based on the monitoring node layout map;

[0036] Based on the deployment guidance results, control the monitoring sensors to monitor the multi-dimensional road data of each road section at different moments during the street lamp demand stage, and serialize each dimension of road data based on the monitoring time series;

[0037] A road environment feature determination unit, configured to:

[0038] Visually display the serialization processing results of each dimension of road data, and determine the change characteristics of each dimension of road data based on the visual display results;

[0039] Based on the change characteristics, determine the representative characteristics of each dimension of road data at different moments, and correlate the representative characteristics of multi-dimensional road data at the same moment of the same road section to obtain the road environment feature combination of each road section;

[0040] A control strategy determination unit, configured to:

[0041] Based on the road environment characteristics, determine the start demand moment and end demand moment of each road section for the intelligent street lamp, and generate an opening and closing control strategy based on the start demand moment and end demand moment;

[0042] At the same time, based on the street lamp control protocol, determine the influence weight of different road environment characteristics in the road environment feature combination on the road brightness level, and perform weighted averaging on the road environment feature combination at the same moment in the same road section based on the influence weight to obtain the external environment influence trend of different road sections;

[0043] Based on the external environment influence trend, determine the required street lamp brightness levels at different moments, and sequentially correlate the required street lamp brightness levels at different moments based on the change characteristics of the external environment influence trend to obtain the brightness dynamic control strategy of different road sections;

[0044] Correlate the opening and closing control strategy with the brightness dynamic control strategy at the coordination points, and obtain the control strategy for the brightness of the intelligent street lamp based on the coordination point correlation results.

[0045] The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system, a control module, including:

[0046] An instruction generation unit, configured to read the control strategy, determine the execution logic of the control strategy, and at the same time, determine the brightness control instructions of each intelligent street lamp according to the execution logic of the control strategy;

[0047] An instruction transmission unit, configured to transmit the brightness control instructions of each intelligent street lamp according to the Internet of Things;

[0048] A control unit, configured to control the brightness of the intelligent street lamp based on the brightness control instructions.

[0049] The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control system, further including an operation monitoring unit for real-time monitoring of the operation status of each intelligent street lamp and performing an alarm operation when the operation status of the intelligent street lamp is abnormal.

[0050] The present invention provides an Internet of Things intelligent street lamp networking and linkage dimming control method, including:

[0051] Step 1: Divide the target road management section according to different road types to obtain road sections corresponding to different road types;

[0052] Step 2: Obtain the road environment characteristics of each road section and determine the control strategy for the brightness of the intelligent street lamp based on the road environment characteristics;

[0053] Step 3: Generate a brightness control instruction according to the control strategy and transmit the brightness control instruction to the intelligent street lamps in each road section through the Internet of Things for brightness control.

[0054] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0055] By dividing the target road management section according to the road type, the road sections corresponding to different road types are determined, and the road environment characteristics of the determined road sections are determined, providing a reference basis and data support for determining the control strategy for the brightness of the intelligent street lamp, ensuring the adaptability and reliability of the finally obtained control strategy. Finally, the brightness of the intelligent street lamp is effectively controlled by the obtained control strategy, ensuring that the intelligent street lamp outputs appropriate light intensity on appropriate road sections, improving the comfort of road users. At the same time, different illumination intensities can be controlled according to different situations, effectively achieving the purpose of energy conservation, without causing waste of electric energy, etc. Moreover, by controlling the intelligent street lamp through the Internet of Things, the intelligence and accuracy of the intelligent street lamp are effectively improved.

[0056] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification or be understood by implementing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structure specifically pointed out in this application document.

[0057] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0058] The drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation to the present invention. In the drawings:

[0059] Figure 1It is a structural diagram of an Internet of Things intelligent street lamp networking and linkage dimming control system in an embodiment of the present invention;

[0060] Figure 2 It is a schematic diagram of the structural connection of an Internet of Things intelligent street lamp networking and linkage dimming control system in an embodiment of the present invention;

[0061] Figure 3 It is a structural diagram of a policy generation module in an Internet of Things intelligent street lamp networking and linkage dimming control system in an embodiment of the present invention;

[0062] Figure 4 It is a flowchart of an Internet of Things intelligent street lamp networking and linkage dimming control method in an embodiment of the present invention. Detailed implementation manners

[0063] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not used to limit the present invention.

[0064] Embodiment 1:

[0065] This embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system, as Figure 1 shown, including:

[0066] A road division module, configured to divide the target road management section according to different road types to obtain road sections corresponding to different road types;

[0067] A policy generation module, configured to obtain the road environment characteristics of each road section and determine the control policy for the brightness of the intelligent street lamp based on the road environment characteristics;

[0068] A control module, configured to generate a brightness control instruction according to the control policy and transmit the brightness control instruction to the intelligent street lamps of each road section through the Internet of Things for brightness control.

[0069] In this embodiment, the target road management section can be a section that can be managed, that is, a section that needs to be managed for street lamp lighting.

[0070] In this embodiment, different road types include urban roads, rural roads, and highway roads, etc.

[0071] In this embodiment, the road environment characteristics refer to the external environmental factors corresponding to different road sections at different times, such as traffic flow and darkness at night, etc.

[0072] The working principle and beneficial effects of the above technical solution are as follows: By dividing the target road management section according to the road type, the road sections of different road types are determined, and the road environment characteristics of the determined road sections are determined, which provides a reference basis and data support for determining the control strategy of the intelligent street lamp brightness, ensuring the adaptability and reliability of the finally obtained control strategy. Finally, the brightness of the intelligent street lamp is effectively controlled through the obtained control strategy, ensuring that the intelligent street lamp outputs appropriate light intensity on appropriate sections, improving the comfort of road users. At the same time, different light intensities can be controlled according to different situations, effectively achieving the purpose of energy conservation, without causing waste of electric energy, etc. Moreover, by controlling the intelligent street lamp through the Internet of Things, the intelligence and accuracy of the intelligent street lamp are effectively improved.

[0073] Embodiment 2:

[0074] Based on Embodiment 1, this embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system, including: a control center terminal, m section intelligent street lamp control terminals, and n intelligent street lamp control terminals for each road section;

[0075] Among them, m < n, the control strategy for the brightness of the intelligent street lamp is loaded at the control center terminal, and a brightness control instruction is generated based on the control center terminal.

[0076] In this embodiment, the output interface of the control center terminal is bidirectionally and distributively connected to the input interfaces of m section intelligent street lamp control terminals according to the Internet of Things; the output interface of each section intelligent street lamp control terminal is unidirectionally and distributively connected to the input interfaces of n intelligent street lamp control terminals of the corresponding road section according to the Internet of Things; the output interface of each intelligent street lamp control terminal is connected to the input interface of the corresponding intelligent street lamp according to the Internet of Things, where the intelligent street lamp control terminal is connected to the intelligent street lamp one by one, and the system structure connection schematic diagram is as Figure 2 shown.

[0077] The working principle of the above technical solution is: The control center terminal is connected to multiple section intelligent street lamp control terminals, that is, one section intelligent street lamp control terminal corresponds to one road section, where one section intelligent street lamp control terminal is connected to the intelligent street lamp control terminals that control each street lamp in the road section.

[0078] The beneficial effects of the above technical solution are: Through the distributed control method, the accuracy, efficiency, and intelligence of the intelligent street lamp control are effectively realized. By constructing the intelligent street lamp control terminals for each intelligent street lamp, individual control can be effectively realized, avoiding the phenomenon of control chaos and ensuring that when there is a fault in an intelligent street lamp, the other intelligent street lamps can still continue to work, improving the control accuracy and independence of the intelligent street lamp.

[0079] Embodiment 3:

[0080] Based on Embodiment 2, this embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system, including:

[0081] Generating a brightness control instruction for the intelligent street lamp control terminal of each road section based on the control center terminal, and transmitting the brightness control instruction to the corresponding road section intelligent street lamp control terminal according to the Internet of Things;

[0082] Determining in real time whether the intelligent street lamps on the corresponding road section are operating normally according to the corresponding road section intelligent street lamp control terminal, and transmitting the brightness control instruction to the target intelligent street lamp control terminal corresponding to the normally operating intelligent street lamps. At the same time, controlling the normally operating intelligent street lamps according to the target intelligent street lamp control terminal;

[0083] Generating a street lamp fault report according to the road section intelligent street lamp control terminal, and transmitting the street lamp fault report in reverse to the control center terminal.

[0084] In this embodiment, one road section corresponds to one brightness control instruction.

[0085] In this embodiment, the street lamp fault report may be information used to represent the faulty intelligent street lamps.

[0086] The working principle and beneficial effects of the above technical solution are: generating a brightness control instruction for the intelligent street lamp control terminal of each road section through the control center terminal, and determining in real time whether the intelligent street lamps on the corresponding road section are operating normally according to the corresponding road section intelligent street lamp control terminal. When they are operating normally, transmitting the brightness control instruction to the normally operating intelligent street lamps for control, improving the accuracy and convenience of control.

[0087] Embodiment 4:

[0088] Based on Embodiment 1, this embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system, a road division module, including:

[0089] A simulated area acquisition unit, configured to acquire a simulated area of a target road management section, locate a road set in the simulated area, and at the same time, read the road identifier of each road;

[0090] A road attribute determination unit, configured to input the road identifier into a road information management library for matching to determine the road attribute of each road in the road set;

[0091] A road type determination unit, configured to:

[0092] Acquire a preset road type attribute set;

[0093] Input the road attributes of each road in the road set into the preset road type attribute set for matching to determine the road type that matches the road attributes;

[0094] Add road labels to each road in the simulation area according to the road type;

[0095] A dividing unit is used to divide the roads in the simulation area based on the road labels according to the addition result to obtain road sections corresponding to different road types.

[0096] In this embodiment, the simulation area can be used to represent the simulation result of the target road management section in the computer.

[0097] In this embodiment, the road identifier can be used to represent the road sections at different positions in the target road management section.

[0098] In this embodiment, the road information management library can be set in advance to store the road attributes corresponding to different road identifiers.

[0099] In this embodiment, the road attribute can be used to represent the surrounding environment characteristics of the road.

[0100] In this embodiment, the preset road type attribute set can be set in advance to store the road types corresponding to different road attributes.

[0101] In this embodiment, the road label can be used as a representation to distinguish different road types.

[0102] The working principle and beneficial effects of the above technical solution are: by determining the road identifier, the acquisition of road attributes can be effectively realized based on the information management library. Through the road attributes, the road types of each road can be effectively distinguished. Furthermore, by adding road labels to each road in the constructed simulation area, it helps to accurately master the road types of each road in the simulation area, and thus provides an effective data basis for road division, ensuring the accuracy of road division.

[0103] Embodiment 5:

[0104] Based on Embodiment 4, this embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system. The simulation area acquisition unit includes:

[0105] An image acquisition and sorting sub-unit is used to collect multiple top view sets of the target road management section, sort the multiple top view sets according to the position distribution characteristics of the target road management section, and at the same time, obtain the first simulation area according to the sorting result;

[0106] An image processing sub-unit, configured to obtain the pixel point distribution state of the first simulated area, locate the overlapping area in the first simulated area according to the pixel point distribution state, remove the overlapping area according to the positioning result to obtain a second simulated area, and at the same time, perform image denoising processing on the second simulated area to obtain a third simulated area;

[0107] A labeling sub-unit, configured to perform road area labeling and non-road area labeling in the third simulated area, and obtain the simulated area of the target road management section according to the labeling result.

[0108] In this embodiment, the position distribution feature is the actual position distribution state of each top view in the target road management section, and the first simulated area is determined according to the result of sorting based on the position distribution feature.

[0109] In this embodiment, the second simulated area may be the result of removing the overlapping area part in the first simulated area.

[0110] In this embodiment, the third simulated area may be the result of performing image denoising processing on the second simulated area.

[0111] The working principle and beneficial effects of the above technical solution are: by performing duplicate removal and denoising processing on the simulated area, the accuracy and effectiveness of the constructed third simulated area can be effectively guaranteed, and then the accurate labeling of the road area can be accurately achieved in the third simulated area, providing an effective guarantee for obtaining the simulated area of the target road management section.

[0112] Embodiment 6:

[0113] Based on Embodiment 1, this embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control system, as Figure 3 shown, a policy generation module, including:

[0114] A monitoring unit, configured to:

[0115] Obtain the road attitude characteristics of each road section, and determine the key position points of each road section based on the road attitude characteristics;

[0116] Generate a monitoring node layout map for each road section based on the key position points, and guide the deployment of monitoring sensors based on the monitoring node layout map;

[0117] Control the monitoring sensors to monitor the multi-dimensional road data of each road section at different moments in the street lamp demand stage based on the deployment guidance result, and perform serialization processing on each dimension of road data based on the monitoring time series;

[0118] A road environment feature determination unit, configured to:

[0119] Visualize the serialization processing results of road data for each dimension, and determine the change characteristics of road data for each dimension based on the visualization results;

[0120] Based on the change characteristics, determine the representative characteristics of road data for each dimension at different times, and correlate the representative characteristics of multi-dimensional road data at the same time for the same road section to obtain the road environment feature combination for each road section;

[0121] The control strategy determination unit is used for:

[0122] Based on the road environment characteristics, determine the start demand time and end demand time of each road section for the intelligent street lights, and generate the opening and closing control strategy based on the start demand time and end demand time;

[0123] At the same time, based on the street light control protocol, determine the influence weight of different road environment characteristics in the road environment feature combination on the road brightness level, and perform weighted averaging on the road environment feature combination at the same time in the same road section based on the influence weight to obtain the external environment influence trend of different road sections;

[0124] Based on the external environment influence trend, determine the required street light brightness levels at different times, and perform sequential correlation on the required street light brightness levels at different times based on the change characteristics of the external environment influence trend to obtain the brightness dynamic control strategy for different road sections;

[0125] Perform collaborative point correlation on the opening and closing control strategy and the brightness dynamic control strategy, and obtain the control strategy for the brightness of the intelligent street lights based on the collaborative point correlation result.

[0126] In this embodiment, the road attitude characteristics can be the comprehensive manifestation of characteristics such as the shape, orientation, slope, and bending degree of the road in space.

[0127] In this embodiment, the key position points can be important positions in the road section, such as the intersections of roads, sharp turns, start and end points of uphill and downhill sections, accident-prone areas, etc.

[0128] In this embodiment, the monitoring node layout diagram can be a diagram used to reflect the distribution of key position points of each road section, and realize the deployment guidance for monitoring sensors.

[0129] In this embodiment, the street light demand stage can be the time period representing the need for the intelligent street lights to be turned on, such as from 6 pm to 5 am the next day in winter, etc.

[0130] In this embodiment, the multi-dimensional road data can be data such as the traffic flow on the road and the surrounding building conditions.

[0131] In this embodiment, the serialization process may be to split the road data of each dimension into a form corresponding to specific data for each unit of time in chronological order.

[0132] In this embodiment, the change feature may be the change in the value of the road data of each dimension, etc.

[0133] In this embodiment, the representative feature may be the specific manifestation form corresponding to the road data of each dimension at different times, that is, the environmental conditions that the road data of each dimension can represent.

[0134] In this embodiment, the road environment feature combination may be the result obtained by associatively combining different types of representative features at the same time for the same road section.

[0135] In this embodiment, the opening and closing control strategy is a mechanism or method for controlling the startup and shutdown of intelligent street lights.

[0136] In this embodiment, the street light control protocol is known in advance and is used to record the influence of different influencing factors on the road brightness.

[0137] In this embodiment, the influence weight may be used to characterize the influence degree of different road environment features on the road brightness. The larger the value, the greater the influence on the road brightness.

[0138] In this embodiment, the external environment influence trend may be the change situation of a road section when it is affected by external influencing factors, which is determined by weighted averaging the road environment feature combination at the same time in the same road section.

[0139] In this embodiment, determining the required street light brightness levels at different times based on the external environment influence trend may be that the street light brightness levels correspond to the external environment influence trend. The greater the external environment influence trend, the smaller the brightness level of the intelligent street lights. For example, the greater the traffic flow, the greater the influence of vehicle lights on the road brightness, so the intelligent street lights should not be too bright, etc.

[0140] In this embodiment, the brightness dynamic control strategy may be a scheme or mechanism for controlling the brightness of street lights on different road sections at different times.

[0141] The working principle and beneficial effects of the above technical solution are as follows: By realizing the effective generation of the monitoring node layout diagram according to the road attitude characteristics of the road section, and guiding the deployment of monitoring sensors based on the obtained monitoring node layout diagram, it is convenient to ensure the accurate and effective monitoring of multi-dimensional road data of the road section by the monitoring sensors. Secondly, by analyzing the obtained multi-dimensional road data, the combination of road environment characteristics of each road section is locked, and then the opening and closing control strategy and brightness dynamic control strategy for different road sections are effectively determined according to the combination of road environment characteristics. Finally, by associating the synergy points of the opening and closing control strategy and the brightness dynamic control strategy, an effective control strategy for the brightness of intelligent street lights is formulated, which can accurately control the street lights according to the actual situation of the road, realize intelligent management, improve the use efficiency of street lights, and at the same time, can better adapt to different road environments and requirements, improving the intelligent level and management effect of the entire street light system.

[0142] Embodiment 7:

[0143] Based on Embodiment 1, this embodiment provides an Internet of Things intelligent street light networking and linkage dimming control system, and the control module includes:

[0144] An instruction generation unit, configured to read the control strategy, determine the execution logic of the control strategy, and at the same time, determine the brightness control instructions of each intelligent street light according to the execution logic of the control strategy;

[0145] An instruction transmission unit, configured to transmit the brightness control instructions of each intelligent street light according to the Internet of Things;

[0146] A control unit, configured to control the brightness of the intelligent street light based on the brightness control instruction.

[0147] In this embodiment, the execution logic may be the execution order of the brightness of the intelligent street light corresponding to the control strategy.

[0148] The working principle and beneficial effects of the above technical solution are as follows: By reading the control strategy, the execution logic corresponding to the control strategy is effectively determined, and then the brightness control instructions of each intelligent street light are determined through the execution logic, so as to effectively realize the brightness control of each intelligent street light, ensuring the accuracy and intelligence of the control of the intelligent street light.

[0149] Embodiment 8:

[0150] Based on Embodiment 7, this embodiment provides an Internet of Things intelligent street light networking and linkage dimming control system, further including an operation monitoring unit, configured to monitor the operation status of each intelligent street light in real time, and perform an alarm operation when the operation status of the intelligent street light is abnormal.

[0151] In this embodiment, when the operating state is abnormal, it means that the intelligent street lamp does not operate according to the specified requirements. For example, it cannot operate, or it performs the lighting state during non-lighting time periods, etc.

[0152] In this embodiment, the alarm operation can be one or more of sound, light, or vibration.

[0153] The beneficial effects of the above technical solution are: it helps to quickly respond to the state of the intelligent street lamp, timely detect the abnormalities of the intelligent street lamp, and thus provides a timely and effective reminder for the maintenance of the intelligent street lamp.

[0154] Embodiment 9:

[0155] This embodiment provides an Internet of Things intelligent street lamp networking and linkage dimming control method, as Figure 4 shown, including:

[0156] Step 1: Divide the target road management section according to different road types to obtain road sections corresponding to different road types;

[0157] Step 2: Obtain the road environment characteristics of each road section, and determine the control strategy for the brightness of the intelligent street lamp based on the road environment characteristics;

[0158] Step 3: Generate a brightness control instruction according to the control strategy, and transmit the brightness control instruction to the intelligent street lamps of each road section based on the Internet of Things for brightness control.

[0159] The working principle and beneficial effects of the above technical solution are: by dividing the target road management section according to the road type, the road sections corresponding to different road types are determined, and the road environment characteristics of the determined road sections are determined, which provides a reference basis and data support for determining the control strategy for the brightness of the intelligent street lamp, ensuring the adaptability and reliability of the finally obtained control strategy. Finally, the brightness of the intelligent street lamp is effectively controlled by the obtained control strategy, ensuring that the intelligent street lamp outputs appropriate light intensity on appropriate road sections, improving the comfort of road users. At the same time, it can control different illumination intensities according to different situations, effectively achieving the purpose of energy conservation, without causing waste of electric energy, etc. Moreover, by controlling the intelligent street lamp through the Internet of Things, the intelligence and accuracy of the intelligent street lamp are effectively improved.

[0160] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. An Internet of Things intelligent street lamp networking and linkage dimming control system, characterized in that Including: A road division module, which is used to divide the target road management section according to different road types to obtain road sections corresponding to different road types; A policy generation module, which is used to obtain the road environment characteristics of each road section and determine the control policy for the brightness of intelligent street lights based on the road environment characteristics; A control module, which is used to generate a brightness control instruction according to the control policy and transmit the brightness control instruction to the intelligent street lights of each road section based on the Internet of Things for brightness control; The policy generation module includes: A monitoring unit, which is used to: Obtain the road attitude characteristics of each road section and determine the key position points of each road section based on the road attitude characteristics; Generate a monitoring node layout diagram for each road section based on the key position points and guide the deployment of monitoring sensors based on the monitoring node layout diagram; Control the monitoring sensors to monitor the multi-dimensional road data of each road section at different moments in the street light demand stage based on the deployment guidance result, and serialize each dimension of road data based on the monitoring time series; A road environment characteristic determination unit, which is used to: Visually display the serialization processing results of each dimension of road data, and determine the change characteristics of each dimension of road data based on the visual display results; Determine the representative characteristics of each dimension of road data at different moments based on the change characteristics, and correlate the representative characteristics of multi-dimensional road data at the same moment of the same road section to obtain the road environment characteristic combination of each road section; A control policy determination unit, which is used to: Determine the start demand moment and end demand moment of each road section for intelligent street lights based on the road environment characteristics, and generate an opening and closing control policy based on the start demand moment and end demand moment; At the same time, determine the influence weight of different road environment characteristics in the road environment characteristic combination on the road brightness level based on the street light control protocol, and perform weighted averaging on the road environment characteristic combination at the same moment in the same road section based on the influence weight to obtain the external environment influence trend of different road sections; Determine the required street light brightness levels at different moments based on the external environment influence trend, and sequentially correlate the required street light brightness levels at different moments based on the change characteristics of the external environment influence trend to obtain the brightness dynamic control policy of different road sections; Perform a coordination point association on the opening and closing control policy and the brightness dynamic control policy, and obtain the control policy for the brightness of intelligent street lights based on the coordination point association result.

2. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 1, characterized in that, Including: A control center terminal, m road section intelligent street light control terminals, and n intelligent street light control terminals for each road section; Among them, m < n, the control policy for the brightness of intelligent street lights is loaded at the control center terminal, and a brightness control instruction is generated based on the control center terminal.

3. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 2, characterized in that, Including: The output interface of the control center terminal is bidirectionally and distributively connected to the input interfaces of m road section intelligent street light control terminals according to the Internet of Things; The output interface of each road section intelligent street light control terminal is unidirectionally and distributively connected to the input interfaces of n intelligent street light control terminals of the corresponding road section according to the Internet of Things; The output interface of each intelligent street lamp control terminal is connected to the input interface of the corresponding intelligent street lamp according to the Internet of Things, where the intelligent street lamp control terminals are connected to the intelligent street lamps in one-to-one correspondence.

4. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 3, characterized in that, It includes: Based on the control center terminal, generate the brightness control instructions for each section of the intelligent street lamp control terminal, and transmit the brightness control instructions to the corresponding section of the intelligent street lamp control terminal according to the Internet of Things; According to the corresponding section of the intelligent street lamp control terminal, determine in real time whether the intelligent street lamps on the corresponding road section are operating normally, and transmit the brightness control instructions to the target intelligent street lamp control terminal corresponding to the normally operating intelligent street lamps. At the same time, control the normally operating intelligent street lamps according to the target intelligent street lamp control terminal; Generate a street lamp fault report according to the section of the intelligent street lamp control terminal, and transmit the street lamp fault report in reverse to the control center terminal.

5. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 1, characterized in that, The road division module includes: The simulation area acquisition unit is used to acquire the simulation area of the target road management interval, locate the road set in the simulation area, and at the same time, read the road identification of each road; The road attribute determination unit is used to input the road identification into the road information management library for matching to determine the road attributes of each road in the road set; The road type determination unit is used to: Obtain the preset road type attribute set; Input the road attributes of each road in the road set into the preset road type attribute set for matching respectively to determine the road type that matches the road attributes; Add road labels to each road in the simulation area according to the road type; The division unit is used to perform road division in the simulation area based on the road labels according to the addition result to obtain the road sections corresponding to different road types.

6. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 5, wherein The simulation area acquisition unit includes: The image acquisition and sorting sub-unit is used to acquire multiple top view sets of the target road management interval, sort the multiple top view sets according to the position distribution characteristics of the target road management interval, and at the same time, obtain the first simulation area according to the sorting result; The image processing sub-unit is used to obtain the pixel point distribution state of the first simulation area, locate the overlapping area in the first simulation area according to the pixel point distribution state, and remove the overlapping area according to the positioning result to obtain the second simulation area. At the same time, perform image denoising processing on the second simulation area to obtain the third simulation area; The annotation sub-unit is used to perform road area annotation and non-road area annotation in the third simulation area, and obtain the simulation area of the target road management interval according to the annotation result.

7. An Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 1, characterized in that The control module includes: The instruction generation unit is used to read the control strategy, determine the execution logic of the control strategy, and at the same time, determine the brightness control instructions for each intelligent street lamp according to the execution logic of the control strategy; The instruction transmission unit is used to transmit the brightness control instructions for each intelligent street lamp according to the Internet of Things; The control unit is used to control the brightness of the intelligent street lamp based on the brightness control instructions.

8. The Internet of Things intelligent street lamp networking and linkage dimming control system according to claim 7, characterized in that It also includes an operation monitoring unit, which is used to monitor the operation status of each intelligent street lamp in real time, and perform an alarm operation when the operation status of the intelligent street lamp is abnormal.

9. An Internet of Things intelligent street lamp networking and linkage dimming control method, characterized in that, It includes: Step 1: Divide the target road management interval according to different road types to obtain the road sections corresponding to different road types; Step 2: Obtain the road environment characteristics of each road section, and determine the control strategy for the brightness of intelligent street lights based on the road environment characteristics; Step 3: Generate a brightness control instruction according to the control strategy, and transmit the brightness control instruction to the intelligent street lights of each road section based on the Internet of Things for brightness control; Step 2 includes: Obtain the road attitude characteristics of each road section, and determine the key position points of each road section based on the road attitude characteristics; Generate a monitoring node layout map for each road section based on the key position points, and guide the deployment of monitoring sensors based on the monitoring node layout map; Control the monitoring sensors to monitor the multi-dimensional road data of each road section at different moments in the street light demand stage based on the deployment guidance result, and serialize each dimension of road data based on the monitoring time series; Visually display the serialization processing results of each dimension of road data, and determine the change characteristics of each dimension of road data based on the visual display results; Determine the representative characteristics of each dimension of road data at different moments based on the change characteristics, and correlate the representative characteristics of multi-dimensional road data at the same moment of the same road section to obtain the road environment characteristic combination of each road section; Determine the start demand moment and end demand moment of each road section for intelligent street lights based on the road environment characteristics, and generate an opening and closing control strategy based on the start demand moment and end demand moment; At the same time, determine the influence weight of different road environment characteristics in the road environment characteristic combination on the road brightness level based on the street light control protocol, and perform weighted averaging on the road environment characteristic combination at the same moment in the same road section based on the influence weight to obtain the external environment influence trend of different road sections; Determine the required street light brightness level at different moments based on the external environment influence trend, and sequentially correlate the required street light brightness levels at different moments based on the change characteristics of the external environment influence trend to obtain the brightness dynamic control strategy of different road sections; Perform a coordination point association between the opening and closing control strategy and the brightness dynamic control strategy, and obtain the control strategy for the brightness of intelligent street lights based on the coordination point association result.

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