High-pole lamp intelligent control system and method based on cloud platform and medium

Abstract

The invention discloses a high-pole lamp intelligent control system based on a cloud platform, and belongs to the technical field of light control. The system comprises an acquisition device used for acquiring environment data, motion data of road objects and operation data of each high-pole lamp; the communication device is used for being connected with the acquisition device to receive the environment data, the motion data of the road surface object and the operation data of the high-pole lamp and uploading the data to a cloud server; the cloud server is used for determining whether the street lamps are turned on or not according to the environment data through an intelligent control algorithm, determining the number of the street lamps in a full-brightness mode according to the motion data of the road surface object, and determining the optimal input voltage of the high-pole lamp in real time with the goals of reducing the electricity price and prolonging the service life of the street lamps; and the control device is used for being connected with the cloud server, receiving a control instruction of the cloud server, adjusting the running state of the corresponding number of high-pole lamps into a full-brightness mode, and controlling the high-pole lamps to run at the optimal input voltage.

Description

Technical Field

[0001] The present invention relates to the field of lighting control technology, and in particular to a cloud platform-based high pole lamp intelligent control system, method and medium. Background Art

[0002] With the development of social economy, people's demand for energy is increasing. With the intensification of the oil and electricity energy crisis, the development of new energy and energy conservation and emission reduction have become important demands. The "green lighting project" has been paid attention to by the government, and corresponding policies and technical measures have been actively taken to promote the implementation and development of the green lighting project.

[0003] For example, at night, large squares become the main places for people to relax, entertain, walk and exercise. Therefore, it is very important to realize intelligent control of lighting in large squares. In order to ensure daily lighting and beautify large squares in cities, high pole lamps are mostly used for lighting in large squares in cities. Because the poles of high pole lamps are high and the lighting power is large. For another example, in road traffic, stations, docks and other places, there are often many deficiencies in the lighting management of high pole lamps used in daily use. It is impossible to accurately analyze the lighting needs of the environment, and it is even more difficult to adjust the lighting needs of high pole lamps according to the actual on-site status of large squares in cities. It is also impossible to clarify the operation of high pole lamps.

[0004] Traditional high pole lamp control mainly adopts fixed time switch or simple light sensor control, that is, the switch state of the street lamp is determined according to the time or sunlight intensity. It lacks precise control of actual needs and usually cannot respond to environmental changes in real time. When the traffic flow is low, the street lamp still runs according to the predetermined brightness and has no dynamic adjustment ability, resulting in energy waste. Summary of the invention

[0005] In order to solve the technical problem that traditional high pole lamp control mainly adopts fixed time switch or simple light sensor control, that is, the switch state of the street lamp is determined according to the time or sunlight intensity, lacks precise control of actual needs, usually cannot respond to environmental changes in real time, and when the traffic flow is low, the street lamp still operates according to the predetermined brightness, has no dynamic adjustment ability, and causes energy waste. The technical solution is as follows:

[0006] In a first aspect, a cloud platform-based intelligent control system for high pole lamps is provided, comprising: a collection device for collecting environmental data, motion data of road objects and operating data of each high pole lamp; a communication device for connecting to the collection device to receive environmental data, motion data of road objects and operating data of high pole lamps and upload the data to a cloud server; a cloud server for determining whether a street lamp is turned on according to environmental data through an intelligent control algorithm, determining the number of street lamps in full brightness mode according to the motion data of road objects, and determining the optimal input voltage of the high pole lamp in real time with the goal of reducing electricity prices and increasing the service life of street lamps; a control device for connecting to the cloud server, receiving control instructions from the cloud server, adjusting the operating state of a corresponding number of high pole lamps to full brightness mode, and controlling the high pole lamps to operate at the optimal input voltage.

[0007] In a second aspect, a cloud platform-based high pole lamp intelligent control method is provided, which is applied to the cloud platform-based high pole lamp intelligent control system described in the first aspect, and the intelligent control method includes:

[0008] S1: Obtain environmental data, movement data of road objects, and operation data of each high pole lamp;

[0009] S2: Determine whether the street light is turned on based on environmental data;

[0010] S3: When the street lights are turned on, the number of street lights in full brightness mode is determined according to the motion data of road objects;

[0011] S4: To reduce electricity prices and increase the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time;

[0012] S5: Adjusting the operating state of a corresponding number of high pole lamps to a full brightness mode, and controlling the high pole lamps to operate at the optimal input voltage.

[0013] In a third aspect, a computer-readable storage medium is provided, characterized in that at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is loaded and executed by a processor according to the cloud platform-based high pole lamp intelligent control method as described in the first aspect.

[0014] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0015] (1) In the present invention, whether a street light is turned on is determined based on environmental data. When it is judged to be night, the street light is controlled to be turned on, and when it is judged to be daytime, the street light is controlled to be turned off, thereby avoiding unnecessary energy consumption.

[0016] (2) In the present invention, the number of street lamps in full brightness mode is determined based on the motion data of road objects, and the actual needs are accurately controlled to respond to environmental changes in real time. The system only enables full brightness mode for areas that need lighting, and maintains low power consumption mode in other areas, thereby reducing energy consumption and electricity expenses.

[0017] (3) In the present invention, with the goal of reducing electricity prices and increasing the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time, which can not only meet lighting needs but also not excessively consume the life of the lamps, thereby reducing maintenance costs and extending the replacement cycle of street lamps. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 is a schematic block diagram of a high pole lamp intelligent control system based on a cloud platform shown in an exemplary embodiment of the present invention;

[0020] Figure 2 is a flow chart of a high pole lamp intelligent control method based on a cloud platform shown in an exemplary embodiment of the present invention;

[0021] Figure 3 It is a schematic structural diagram of an electronic device shown in an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0023] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0024] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0025] In the embodiments of the present invention, sometimes a subscript such as W1 may be expressed in a non-subscript form such as W1. When the difference is not emphasized, the meanings to be expressed are consistent.

[0026] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0027] Specifically, the embodiment of the present invention provides a cloud platform-based high pole lamp intelligent control system. The device can effectively monitor and control the high pole lamp based on the cloud platform, making the structure simple and efficient. Figure 1 The schematic block diagram of the cloud platform-based high pole lamp intelligent control system 100 is shown. The cloud platform-based high pole lamp intelligent control system may include the following modules: a collection device 102 , a communication device 104 , a cloud server 106 , and a control device 108 .

[0028] The collection device 102 is used to collect environmental data, movement data of road objects and operation data of each high pole lamp.

[0029] Optionally, the collection device 102 may be disposed on a lamp post of a high pole lamp, and the collection device 102 may specifically include: an ambient light sensor, an infrared sensor, a camera, an intelligent controller (PLC, ZigBee, LoRa), and the like.

[0030] The communication device 104 is used to connect with the collection device 102 to receive environmental data, movement data of road objects and operation data of high pole lamps and upload the data to the cloud server 106 .

[0031] Optionally, the communication device 104 communicates with the cloud server 106 using the NB-IOT protocol or the eMTC protocol.

[0032] The cloud server 106 is used to determine whether the street lamp is turned on according to environmental data through an intelligent control algorithm, determine the number of street lamps in full brightness mode according to the movement data of road objects, and determine the optimal input voltage of the high pole lamp in real time with the goal of reducing electricity prices and increasing the service life of street lamps.

[0033] The control device 108 is used to connect to the cloud server 106, receive control instructions from the cloud server 106, adjust the operating status of a corresponding number of high pole lamps to full brightness mode, and control the high pole lamps to operate at an optimal input voltage.

[0034] Optionally, the operating state of the high pole lamp mainly includes full brightness mode and dim light mode. Full brightness mode means that the high pole lamp operates at maximum brightness, which is used in situations where high-intensity lighting is required. Dim light mode means that the high pole lamp operates at lower brightness, which is used in situations where the lighting requirement is low. The default mode is dim light mode.

[0035] In a possible implementation, the cloud server 106 determines whether the street light is turned on according to the environmental data in a specific manner: determining whether the current environmental brightness is less than a brightness threshold. If so, determining that it is currently night, and controlling the street light to be turned on. Otherwise, determining that it is currently daytime, and controlling the street light to be turned off.

[0036] Among them, those skilled in the art can set the brightness threshold according to actual conditions, and the present invention does not limit it.

[0037] In the present invention, the on / off state of the street lamp is automatically determined by the ambient brightness, and automatic control can be fully realized without manual intervention. The street lamp can be automatically turned on when the light is insufficient and turned off when the light is sufficient, thereby improving the automation of the system and reducing the complexity and cost of manual management.

[0038] In a possible implementation, the cloud server 106 determines the number of street lamps in full brightness mode according to the movement data of the road object by obtaining the movement speed of the road object and determining the number of street lamps in full brightness mode according to the movement speed of the road object.

[0039] In a possible implementation manner, the movement speed of the road object is specifically:

[0040]

[0041] Wherein, v represents the moving speed, L represents the distance between adjacent lamp posts, t1 represents the time when the vehicle passes the previous adjacent lamp post, and t2 represents the time when the vehicle passes the next adjacent lamp post.

[0042] In a possible implementation, the number of street lamps in full brightness mode is specifically:

[0043] f=[(vΔt+s) / L]+1

[0044] Where f represents the number of targets, Δt represents the start-up time of the high pole lamp, s represents the safety lighting distance, and [] represents rounding up.

[0045] In the present invention, the number of street lamps that need full brightness mode is determined by obtaining the movement speed of road objects in real time, and high brightness lighting is provided only for areas that are actually needed. The remaining areas can maintain a lower brightness or even be turned off, thereby saving energy. If a high-speed moving vehicle (such as a car) is detected, the system will adjust the number of lights according to the speed and provide a sufficiently long lighting distance to ensure that the vehicle has a sufficient lighting field of view during high-speed driving to ensure driving safety. If a pedestrian or non-motorized vehicle moving at a low speed is detected, the system will only turn on fewer street lamps to reduce the number of lights, thereby saving energy consumption.

[0046] Optionally, the safety lighting distance is specifically:

[0047] When the moving speed of the road object satisfies v≥v1, it is determined that the road object is a motor vehicle, and the specific safety lighting distance is s=s1.

[0048] When the moving speed of the road object satisfies v2≤v<v1, it is determined that the road object is a non-motor vehicle, and the specific safety lighting distance is s=s2.

[0049] When the moving speed of the road object satisfies v<v2, it is determined that the road object is a pedestrian, and the specific safety lighting distance is s=s3.

[0050] Wherein, v represents the movement speed, v1 represents the first speed threshold, v2 represents the second speed threshold, s1 represents the first safety lighting distance, s2 represents the second safety lighting distance, s3 represents the third safety lighting distance, and s1>s2>s3.

[0051] In the present invention, by dividing the speed of objects into three categories (motor vehicles, non-motor vehicles and pedestrians), the system can accurately allocate lighting based on the actual needs of the objects: motor vehicles usually have faster speeds, so a longer front lighting distance is required to ensure that the driver can clearly see the road conditions ahead at high speeds to avoid accidents. The speed of non-motor vehicles is slower than that of motor vehicles, but faster than pedestrians, so the corresponding lighting distance can be moderate, which not only guarantees the lighting needs but also saves energy. Pedestrians have the slowest speed and have relatively less demand for lighting in front, so the corresponding lighting distance is shorter, which not only meets the safety of walking but also avoids the waste caused by excessive lighting. Through this differentiated safety lighting distance setting, the system can allocate brightness more accurately and adjust the lighting distance as needed. The system avoids turning on all street lights when it is not necessary, thereby significantly reducing energy consumption.

[0052] In a possible implementation, the cloud server 106 determines the optimal input voltage of the high pole lamp in real time with the goal of reducing electricity prices and increasing the service life of street lamps. Specifically, the objective function is constructed with the goal of reducing electricity prices and increasing the service life of street lamps. Constraints are set. Through the particle swarm optimization algorithm, the objective function is used as the fitness function to search for the optimal input voltage of the high pole lamp in real time.

[0053] Among them, the particle swarm optimization algorithm (PSO) is a global optimization algorithm based on swarm intelligence. It solves complex optimization problems by simulating the collaborative behavior of groups such as bird flocks or fish schools in nature when looking for food or migrating.

[0054] Specifically, a population is initialized, which contains multiple particles, and each particle represents a feasible control parameter.

[0055] Calculate the fitness of each particle.

[0056] Determine the individual optimal position and the global optimal position.

[0057]

[0058] in, represents the velocity of the i-th particle at the t+1th iteration, represents the velocity of the ith particle at the tth iteration, ω represents the inertia weight factor, c1 represents the individual learning factor, c2 represents the global learning factor, r1 and r2 both represent random numbers between 0 and 1, represents the individual optimal position of the i-th particle at the t-th iteration, represents the global optimal position of the i-th particle at the t-th iteration, represents the position of the i-th particle at the t-th iteration, represents the position of the i-th particle at the t+1th iteration.

[0059] In the present invention, the particle swarm optimization algorithm simulates the group cooperation behavior of particles, combines the learning of individual optimal and global optimal solutions, dynamically adjusts the particle speed and position, and ensures the balance between global search and local search. It avoids falling into the local optimal solution by introducing randomness, has the advantages of being simple and easy to implement, high parallel computing efficiency, and fast convergence speed, and is suitable for solving complex nonlinear optimization problems.

[0060] Recalculate the fitness of each particle.

[0061] When the fitness of the current particle is better than the individual optimal solution of the particle itself, the individual optimal solution of the particle itself is updated. When the fitness of the current particle is worse than the individual optimal solution of the particle itself, the individual optimal solution of the particle itself is updated with a certain replacement probability. When the fitness of the current particle is better than the global optimal solution, the global optimal solution is updated.

[0062] Determine whether the maximum number of iterations has been reached. If so, output the control parameters represented by the particle with the highest fitness value as the optimal control parameters. Otherwise, return to continue iterating.

[0063] Among them, the replacement probability is specifically:

[0064]

[0065] Among them, P represents the replacement probability, e represents the natural constant, δ() represents the fitness function, and C t represents the temperature at the tth iteration.

[0066] Among them, the temperature is updated according to the following formula:

[0067] T i+1 =εT i

[0068] Where ε represents the temperature drop coefficient, T i+1 represents the temperature at the i+1th iteration, T i represents the temperature at the i-th iteration.

[0069] It should be noted that when the temperature is higher, it is easier to accept worse solutions, thereby increasing the chance of escaping the local optimum. As the number of iterations increases, the temperature gradually decreases, allowing the algorithm to perform more global searches in the early stages and gradually focus on local searches in the later stages, thereby improving the optimization effect.

[0070] Optionally, the temperature reduction coefficient is specifically:

[0071]

[0072] Among them, A1 represents the cooling oscillation factor of the first half cycle, B1 represents the cooling floating factor of the first half cycle, A2 represents the cooling oscillation factor of the second half cycle, and B2 represents the cooling floating factor of the second half cycle.

[0073] It should be noted that by dividing the cooling process into two cycles, the temperature changes in different stages can be finely controlled to adapt to different optimization requirements and search strategies. In each cycle, the temperature change not only considers exponential decay, but also combines sinusoidal oscillation and floating factors to make the temperature change smoother and more flexible. At the same time, the sinusoidal oscillation characteristics introduce a certain temperature fluctuation, avoiding premature convergence, increasing the diversity of the solution space, and reducing the risk of falling into the local optimum.

[0074] In the present invention, by using the particle swarm optimization algorithm in the upper layer control, its advantages such as strong global search capability, fast convergence speed, simple implementation, and adaptability to dynamic environments can be fully utilized to effectively improve the efficiency and quality of power grid dispatch optimization. This method can ensure that in a complex power grid operation environment, the optimal power flow solution that meets multiple constraints is found, thereby improving the overall performance and stability of the system.

[0075] In a possible implementation, the objective function is specifically:

[0076] F(θ)=λ1LL-λ2P

[0077] Wherein, F represents the objective function, θ represents the control parameters, and the control parameters include the input voltage, LL represents the life of the street lamp, λ1 represents the weight coefficient of the life of the street lamp, P represents the electricity price, and λ2 represents the weight coefficient of the electricity price.

[0078] Among them, those skilled in the art can set the weight coefficient λ1 of the street lamp life and the weight coefficient λ2 of the electricity price according to actual conditions, and the present invention does not limit this.

[0079] In the present invention, the particle swarm optimization algorithm system can calculate and select the most appropriate voltage in real time, find the optimal balance between electricity price savings and lamp life, ensure that both electricity costs can be saved and equipment life can be extended, and avoid conflicts between the two.

[0080] Optionally, the life of the street lamp is specifically:

[0081]

[0082] Among them, LL represents the life of the street lamp, LL0 represents the rated life of the street lamp, and γ represents the life impact.

[0083] Optionally, the electricity price is specifically:

[0084]

[0085] Among them, P represents the electricity price, W represents the output power, pr represents the unit electricity price, W0 represents the rated output power, V represents the input voltage, V0 represents the rated input voltage, and α represents the power influence.

[0086] In a possible implementation, the constraint conditions include: illumination level constraint and brightness uniformity constraint.

[0087] The illumination level constraint is specifically: the average illumination level of the street lamp is greater than the reference illumination level.

[0088] The average illumination level is as follows:

[0089]

[0090] Among them, E avg represents the average illumination level of street lamps, φ represents the street light flux, CU represents the utilization coefficient, LLF represents the light loss coefficient, L represents the distance between adjacent lamp posts, and W r Indicates the width of the road.

[0091]

[0092] Among them, φ represents the luminous flux of the street lamp, φ0 represents the rated luminous flux of the street lamp, and β represents the luminous flux influence.

[0093] The illumination reference level depends on the road type. The lighting standard of the street lighting system can be flexibly adjusted according to different road environments: for example, a higher illumination level is required on highways to ensure sufficient sight distance for vehicles traveling at high speeds and reduce the risk of traffic accidents. On the other hand, a lower reference illumination level can be used in residential areas and small streets to save energy and avoid light pollution caused by excessive lighting.

[0094] In the present invention, by setting the illumination level constraint, it is ensured that the average illumination level of the street lamp system is greater than the preset reference illumination level, which means that there will be sufficient lighting on the road under any circumstances. Insufficient road lighting may affect the safety of driving and pedestrians, while excessive lighting will cause energy waste. Therefore, ensuring that the illumination is not lower than the reference standard is an important measure to improve road safety.

[0095] The brightness uniformity constraint is specifically: the street lamps that are affected by the same road object and remain in full brightness mode are regarded as a street lamp control group, and the control parameters of the street lamps in the same street lamp control group remain consistent.

[0096] In the present invention, the brightness of street lamps in the same street lamp control group is kept consistent, which can prevent uneven brightness in the road section, maintain brightness uniformity, and avoid visual fatigue or momentary visual blind spots caused by uneven brightness to drivers and pedestrians.

[0097] In a possible implementation manner, the control device 108 controls the high pole lamp to operate at the optimal input voltage in the following specific manner: calculating the deviation between the real-time input voltage and the optimal input voltage, and adjusting the input voltage through a PID controller according to the deviation.

[0098] Among them, PID controller is a classic automatic control algorithm, which is widely used in the fields of industrial control, automation system, etc., and is used to accurately adjust system parameters to keep the system in the desired state. The PID controller calculates the deviation between the current state of the system and the target state (set value), and makes adjustments based on this deviation to ensure stable operation of the system. The PID controller is a very mature prior art, and the present invention will not be repeated.

[0099] Furthermore, a circuit monitoring device is provided on the high pole lamp post, which can effectively monitor the output circuit of the high pole lamp, accurately monitor the current, voltage, power and electricity consumption, and can report the data in real time. Its characteristics are that the monitoring unit collects the real-time power, cumulative power consumption, working current and working voltage of the power supply circuits of multiple light sources, as well as the current working status of multiple light sources, and uploads these parameters to the remote host system; at the same time, the monitoring unit receives the on / off instructions of the remote host system, and can control the on / off of multiple light sources respectively. According to user needs, the number of monitoring units can be configured to realize the control of multiple light sources.

[0100] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0101] (1) In the present invention, whether a street light is turned on is determined based on environmental data. When it is judged to be night, the street light is controlled to be turned on, and when it is judged to be daytime, the street light is controlled to be turned off, thereby avoiding unnecessary energy consumption.

[0102] (2) In the present invention, the number of street lamps in full brightness mode is determined based on the motion data of road objects, and the actual needs are accurately controlled to respond to environmental changes in real time. The system only enables full brightness mode for areas that need lighting, and maintains low power consumption mode in other areas, thereby reducing energy consumption and electricity expenses.

[0103] (3) In the present invention, with the goal of reducing electricity prices and increasing the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time, which can not only meet lighting needs but also not excessively consume the life of the lamps, thereby reducing maintenance costs and extending the replacement cycle of street lamps.

[0104] Figure 2 1 is a flow chart of a cloud-based high pole lamp intelligent control method according to an exemplary embodiment. The method is applied to the cloud-based high pole lamp intelligent control system 100, and is characterized in that it includes:

[0105] S1: Obtain environmental data, movement data of road objects, and operation data of each high pole lamp;

[0106] S2: Determine whether the street light is turned on based on environmental data;

[0107] S3: When the street lights are turned on, the number of street lights in full brightness mode is determined according to the motion data of the road objects;

[0108] S4: To reduce electricity prices and increase the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time;

[0109] S5: Adjusting the operating state of a corresponding number of high pole lamps to a full brightness mode, and controlling the high pole lamps to operate at the optimal input voltage.

[0110] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0111] (1) In the present invention, whether a street light is turned on is determined based on environmental data. When it is judged to be night, the street light is controlled to be turned on, and when it is judged to be daytime, the street light is controlled to be turned off, thereby avoiding unnecessary energy consumption.

[0112] (2) In the present invention, the number of street lamps in full brightness mode is determined based on the motion data of road objects, and the actual needs are accurately controlled to respond to environmental changes in real time. The system only enables full brightness mode for areas that need lighting, and maintains low power consumption mode in other areas, thereby reducing energy consumption and electricity expenses.

[0113] (3) In the present invention, with the goal of reducing electricity prices and increasing the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time, which can not only meet lighting needs but also not excessively consume the life of the lamps, thereby reducing maintenance costs and extending the replacement cycle of street lamps.

[0114] In an exemplary embodiment, the present invention further provides an electronic device, the electronic device comprising:

[0115] processor;

[0116] A memory stores computer-readable instructions, and when the computer-readable instructions are loaded and executed by the processor, the steps of the above-mentioned cloud platform-based high pole lamp intelligent control method are implemented.

[0117] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 3As shown, the electronic device 300 may include a processor 3001 and a memory 3002. Optionally, the electronic device 300 may further include a transceiver 3003. The processor 3001, the memory 3002 and the transceiver 3003 may be connected, for example, via a communication bus. The memory 3002 stores computer-readable instructions, and when the computer-readable instructions are executed by the processor 3001, the steps of the high pole lamp intelligent control method based on the cloud platform are implemented.

[0118] In a specific implementation, as an embodiment, the processor 3001 may include one or more CPUs, such as Figure 3 CPU0 and CPU1 are shown in FIG.

[0119] In a specific implementation, as an embodiment, the electronic device 300 may also include multiple processors, such as Figure 3 3001 and processor 3004 are shown in FIG. Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0120] The memory 3002 is used to store the software program for executing the solution of the present invention, and the execution is controlled by the processor 3001. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0121] The transceiver 3003 is used to communicate with a network device or a terminal device.

[0122] Optionally, the transceiver 3003 may include a receiver and a transmitter, wherein the receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0123] Optionally, the transceiver 3003 may be integrated with the processor 3001 , or may exist independently and be coupled to the processor 3001 via an interface circuit of the electronic device 300 , which is not specifically limited in the embodiment of the present invention.

[0124] It should be noted that Figure 3 The structure of the electronic device 300 shown in the figure does not constitute a limitation on the electronic device. The actual electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. In addition, the technical effects of the electronic device 300 can refer to the technical effects of the above-mentioned method embodiment, which will not be repeated here.

[0125] In an exemplary embodiment, the present invention further provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is loaded and executed by a processor to implement the steps of the cloud platform-based high pole lamp intelligent control method as described above. For example, the computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0126] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0127] (1) In the present invention, whether a street light is turned on is determined based on environmental data. When it is judged to be night, the street light is controlled to be turned on, and when it is judged to be daytime, the street light is controlled to be turned off, thereby avoiding unnecessary energy consumption.

[0128] (2) In the present invention, the number of street lamps in full brightness mode is determined based on the motion data of road objects, and the actual needs are accurately controlled to respond to environmental changes in real time. The system only enables full brightness mode for areas that need lighting, and maintains low power consumption mode in other areas, thereby reducing energy consumption and electricity expenses.

[0129] (3) In the present invention, with the goal of reducing electricity prices and increasing the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time, which can not only meet lighting needs but also not excessively consume the life of the lamps, thereby reducing maintenance costs and extending the replacement cycle of street lamps.

[0130] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0131] In the specification, references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments", etc. indicate that the embodiments may include specific features, structures, or characteristics, but not every embodiment may include the specific features, structures, or characteristics. In addition, when a specific feature, structure, or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the relevant art to implement such feature, structure, or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0132] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0133] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0134] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0135] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0136] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0137] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0138] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0139] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0140] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high pole lamp intelligent control system based on a cloud platform, characterized in that: include: A collection device for collecting environmental data, movement data of road objects, and operation data of each high pole lamp; A communication device, used to connect to the acquisition device to receive environmental data, movement data of road objects and operation data of high pole lamps and upload the data to a cloud server; The cloud server is used to determine whether the street lamp is turned on based on environmental data through intelligent control algorithms, determine the number of street lamps in full brightness mode based on the movement data of road objects, and determine the optimal input voltage of high pole lamps in real time with the goal of reducing electricity prices and increasing the service life of street lamps; The control device is used to connect to the cloud server, receive control instructions from the cloud server, adjust the operating status of a corresponding number of high pole lamps to full brightness mode, and control the high pole lamps to operate at the optimal input voltage.

2. The cloud platform-based high pole lamp intelligent control system according to claim 1 is characterized in that: The specific method in which the cloud server determines whether the street light is turned on according to the environmental data is: Determine whether the current ambient brightness is less than the brightness threshold; if so, determine that it is currently night and control the street lights to turn on; otherwise, determine that it is currently daytime and control the street lights to turn off.

3. The cloud platform-based high pole lamp intelligent control system according to claim 1 is characterized in that: The specific method in which the cloud server determines the number of street lamps in full brightness mode according to the motion data of road objects is: Get the moving speed of road objects; Determine the number of street lights in full brightness mode based on the speed of objects on the road.

4. The cloud platform-based high pole lamp intelligent control system according to claim 3 is characterized in that: The moving speed of the road object is specifically: Wherein, v represents the moving speed, L represents the distance between adjacent lamp posts, t1 represents the time when the vehicle passes the previous adjacent lamp post, and t2 represents the time when the vehicle passes the next adjacent lamp post.

5. The cloud platform-based high pole lamp intelligent control system according to claim 3 is characterized in that: The number of street lamps in full brightness mode is specifically: f=[(vΔt+s) / L]+1 Among them, f represents the number of targets, Δt represents the start-up time of the high pole lamp, s represents the safety lighting distance, and [] represents rounding up; Wherein, the safety lighting distance is specifically: When the moving speed of the road object satisfies v≥v1, it is determined that the road object is a motor vehicle, and the safety lighting distance is specifically s=s1; When the moving speed of the road object satisfies v2≤v<v1, it is determined that the road object is a non-motor vehicle, and the safety lighting distance is specifically s=s2; When the moving speed of the road object satisfies v<v2, it is determined that the road object is a pedestrian, and the safety lighting distance is specifically s=s3; Wherein, v represents the movement speed, v1 represents the first speed threshold, v2 represents the second speed threshold, s1 represents the first safety lighting distance, s2 represents the second safety lighting distance, s3 represents the third safety lighting distance, and s1>s2>s3.

6. The cloud platform-based high pole lamp intelligent control system according to claim 1 is characterized in that: The cloud server aims to reduce electricity prices and increase the service life of street lamps, and determines the optimal input voltage of high pole lamps in real time, specifically including: With the goal of reducing electricity prices and increasing the service life of street lamps, an objective function is constructed; Set constraints; Through the particle swarm optimization algorithm, the objective function is used as the fitness function to search for the optimal input voltage of the high pole lamp in real time.

7. The cloud platform-based high pole lamp intelligent control system according to claim 6 is characterized in that: The objective function is specifically: F(θ)=λ1LL-λ2P Wherein, F represents the objective function, θ represents the control parameter, and the control parameter includes the input voltage: LL represents the life of the street lamp, λ1 represents the weight coefficient of the life of the street lamp, P represents the electricity price, and λ2 represents the weight coefficient of the electricity price; The street lamp life is specifically: Among them, LL represents the life of the street lamp, LL0 represents the rated life of the street lamp, and γ represents the life impact; The electricity prices are specifically: Among them, P represents the electricity price, W represents the output power, pr represents the unit electricity price, W0 represents the rated output power, V represents the input voltage, V0 represents the rated input voltage, and α represents the power influence.

8. The cloud platform-based high pole lamp intelligent control system according to claim 6 is characterized in that: The constraints include: illumination level constraint and brightness uniformity constraint; The illumination level constraint is specifically: the average illumination level of the street lamp is greater than the reference illumination level; The average illumination level is specifically: Among them, E avg represents the average illumination level of street lamps, φ represents the street light flux, CU represents the utilization coefficient, LLF represents the light loss coefficient, L represents the distance between adjacent lamp posts, and W r Indicates the width of the road surface; Among them, φ represents the street light flux, φ0 represents the rated luminous flux of the street light, and β represents the luminous flux influence; The illumination reference level depends on the road type; The brightness uniformity constraint is specifically: the street lamps that are affected by the same road object and remain in full brightness mode are regarded as a street lamp control group, and the control parameters of the street lamps in the same street lamp control group remain consistent.

9. A high pole lamp intelligent control method based on a cloud platform, characterized in that: Applied to the cloud platform-based high pole lamp intelligent control system according to any one of claims 1 to 8, the intelligent control method comprises: S1: Obtain environmental data, movement data of road objects, and operation data of each high pole lamp; S2: Determine whether the street light is turned on based on environmental data; S3: When the street lights are turned on, the number of street lights in full brightness mode is determined according to the motion data of road objects; S4: To reduce electricity prices and increase the service life of street lamps, the optimal input voltage of high pole lamps is determined in real time; S5: Adjusting the operating state of a corresponding number of high pole lamps to a full brightness mode, and controlling the high pole lamps to operate at the optimal input voltage.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, and the at least one instruction is loaded and executed by the processor according to the cloud platform-based high pole lamp intelligent control method as claimed in claim 9.

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