CN113099592A - Lighting lamp control method and device based on Internet of things, computer equipment and medium - Google Patents

Lighting lamp control method and device based on Internet of things, computer equipment and medium Download PDF

Info

Publication number
CN113099592A
CN113099592A CN202110321231.2A CN202110321231A CN113099592A CN 113099592 A CN113099592 A CN 113099592A CN 202110321231 A CN202110321231 A CN 202110321231A CN 113099592 A CN113099592 A CN 113099592A
Authority
CN
China
Prior art keywords
strategy
lighting
lamp
platform
node
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110321231.2A
Other languages
Chinese (zh)
Inventor
邓岳涛
庞竞强
李文沛
毛树林
杨虹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Jiazhaoye Technology Group Co ltd
Original Assignee
Shenzhen Jiazhaoye Technology Group Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Jiazhaoye Technology Group Co ltd filed Critical Shenzhen Jiazhaoye Technology Group Co ltd
Priority to CN202110321231.2A priority Critical patent/CN113099592A/en
Publication of CN113099592A publication Critical patent/CN113099592A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/175—Controlling the light source by remote control
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/35—Utilities, e.g. electricity, gas or water
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/20—Information sensed or collected by the things relating to the thing itself
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/30—Information sensed or collected by the things relating to resources, e.g. consumed power
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/20—Analytics; Diagnosis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/40—Maintenance of things
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/20—Responsive to malfunctions or to light source life; for protection
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Computing Systems (AREA)
  • Human Resources & Organizations (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Primary Health Care (AREA)
  • Environmental & Geological Engineering (AREA)
  • Toxicology (AREA)
  • Accounting & Taxation (AREA)
  • Game Theory and Decision Science (AREA)
  • Biomedical Technology (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The application relates to an illuminating lamp control method, device, equipment and storage medium based on the Internet of things. The method is applied to a node which is in network communication with a platform and is used for controlling at least one lighting lamp realized based on the Internet of things; the method comprises the following steps: reading at least one pre-stored lighting strategy, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position of the lighting lamp; acquiring current time, and extracting a lighting strategy corresponding to the current time; when at least two extracted lighting strategies exist, the lighting strategy with the highest priority is obtained; the lighting strategy is executed to control a lighting lamp. The method can improve the energy-saving level.

Description

Lighting lamp control method and device based on Internet of things, computer equipment and medium
Technical Field
The application relates to the technical field of Internet of things, in particular to an illuminating lamp control method and device based on the Internet of things, computer equipment and a medium.
Background
The internet of things is the internet connected with objects, and the internet is also called as the third wave of development of the world information industry after computers and the internet through the communication perception technologies such as intelligent perception, identification technology and pervasive computing. With the proposal of the new concept of the internet of things, the intelligent illuminating lamp is an intelligent product which conforms to the development of the information era, and the intelligent illuminating lamp takes the improvement of comfort, humanization and intelligence of illumination as a starting point, integrates various internet of things technologies such as LED illumination, information acquisition, information transmission, information release, data processing, control execution and the like, and constructs a high-efficiency public management network through dense urban intelligent illuminating lamp equipment.
In the conventional art, the wisdom light adopts fixed strategy to throw light on in an area, lights at the time point of predetermineeing, and extinguishes at other time points, and energy-conservation nature is relatively poor.
Disclosure of Invention
In view of the above, there is a need to provide an internet of things-based lighting lamp control method, apparatus, computer device and medium capable of improving energy saving level.
An illuminating lamp control method based on the Internet of things is applied to a node which is in network communication with a platform and is used for controlling at least one illuminating lamp realized based on the Internet of things; the method comprises the following steps:
reading at least one pre-stored lighting strategy, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position of the lighting lamp;
acquiring current time, and extracting a lighting strategy corresponding to the current time;
when at least two extracted lighting strategies exist, the lighting strategy with the highest priority is obtained;
the lighting strategy is executed to control a lighting lamp.
In one embodiment, the lighting strategy comprises: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node;
the generation mode of the automatic strategy comprises the following steps:
acquiring an automatic strategy generation condition which is preset by a platform and corresponds to the geographical position of the node;
collecting flow corresponding to weather and ambient brightness and each time period;
and generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
In one embodiment, the lighting strategy further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node;
the generation mode of the user strategy comprises the following steps: and sending the geographical position, the application scene and the flow corresponding to each time period of the node to a platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and setting the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
In one embodiment, the executing the lighting strategy to control a lighting lamp comprises:
when the lighting strategy is a single-lamp control strategy, acquiring a corresponding lighting lamp and executing the single-lamp control strategy to control the single lighting lamp;
and when the lighting strategy is a group control strategy, acquiring a corresponding lighting lamp set, and executing the group control strategy to control the lighting lamps in the lighting lamp set.
In one embodiment, after the executing the lighting strategy to control the lighting lamp, the method comprises:
the method comprises the steps of collecting the lamp turning-on and turning-off states of the illuminating lamp, uploading the lamp turning-on and turning-off states to a platform, enabling the platform to count illumination time according to the states of the illuminating lamp and preset granularity, and calculating power consumption according to the illumination time.
In one embodiment, the method further comprises:
collecting an electrical signal of the illuminating lamp, and judging whether the electrical signal is abnormal or not;
when the electrical signal is abnormal, the electrical signal is sent to the platform, so that the platform determines the fault level of the illuminating lamp according to the electrical signal, and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
In one embodiment, the method further comprises:
when the network state is an off-line state, locally storing the acquired lighting lamp information;
and when the network state is an online state, uploading the locally stored lighting lamp information to the platform.
An illuminating lamp control device based on the Internet of things is applied to a node which is in network communication with a platform and is used for controlling at least one illuminating lamp realized based on the Internet of things; the device comprises:
the lighting strategy reading module is used for reading at least one lighting strategy which is stored in advance, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position where the lighting lamp is located;
the strategy selection module is used for acquiring the current time and extracting the illumination strategy corresponding to the current time;
the strategy extraction module is used for acquiring the lighting strategy with the highest priority when at least two lighting strategies exist;
a strategy execution module for executing the lighting strategy to control the lighting lamp.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method in any of the above embodiments when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method in any of the above-mentioned embodiments.
According to the lighting lamp control method, the lighting lamp control device, the computer equipment and the medium based on the Internet of things, the plurality of lighting strategies are arranged at the nodes, so that the nodes can obtain the corresponding lighting strategies according to the effective time and the priority of the lighting strategies, and the lighting is realized while the electric energy is saved.
Drawings
Fig. 1 is an application environment diagram of an illumination lamp control method based on the internet of things in one embodiment;
fig. 2 is a schematic flow chart of a lighting lamp control method based on the internet of things in one embodiment;
fig. 3 is a schematic flow chart of a lighting lamp control method based on the internet of things in another embodiment;
fig. 4 is a block diagram of an embodiment of an internet-of-things-based lighting lamp control device;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The lighting lamp control method based on the Internet of things can be applied to the application environment shown in the figure 1. The node 102 is in communication with the platform 104 through a network, wherein the node 102 is configured to control at least one lighting lamp implemented based on the internet of things, and includes a single control mode and a group control mode, wherein the node 102 may read at least one lighting policy stored in advance, the lighting policy includes policy effective time and priority, the effective time is set according to traffic of a geographic location where the lighting lamp is located, and then current time is obtained, so that a lighting policy corresponding to the current time is extracted, and when at least two extracted lighting policies exist, a lighting policy with the highest priority can be obtained; a lighting strategy is implemented to control the lighting lamps. A plurality of lighting policies are set at the node, so that the node can obtain the corresponding lighting policy according to the effective time and priority of the lighting policy to save power while implementing lighting, wherein the node 102 may include but is not limited to various sensors, such as an illumination sensor, a flow sensor, an air sensor, a weather information collection sensor, and the like, and the platform 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In an embodiment, as shown in fig. 2, a lighting lamp control method based on the internet of things is provided, which is described by taking the method as an example of being applied to a node in fig. 1, where the node is used for controlling at least one lighting lamp implemented based on the internet of things; the method comprises the following steps:
s202: reading at least one lighting strategy stored in advance, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position where the lighting lamp is located.
Specifically, the nodes are installed near the lighting lamps, if the single control strategy is adopted, each lighting lamp corresponds to one node, if the group control strategy is adopted, a plurality of lighting lamps correspond to one node, and the corresponding lighting lamps can be controlled by the nodes. In addition, in practical application, a single control strategy and a group control strategy can be combined, for example, illuminating lamps A to F exist, each illuminating lamp corresponds to one node, and the illuminating lamps A to F also correspond to one node together, so that the illuminating lamps A to F can be controlled individually or in a group manner.
The lighting policy is a logic policy executed by the node, and is used for controlling the operation of the lighting lamp, and the lighting policy may be set by a user on the platform and issued to the node, or an automatic policy generated by the node according to the environment information. Specifically, the platform may issue the lighting policy to the node, the node may also upload an automatic policy generated by the node according to the environment information, and the platform may set attributes of each lighting policy, including whether the lighting policy is valid, the effective time, and the like.
Wherein each lighting strategy comprises an active time and a priority. The effective time refers to the time when the lighting strategy can be executed, for example, some lighting strategies are executed from 24 pm to 5 am, so the effective time is 24:00-5: 00.
Specifically, the effective time may be set according to a flow rate of the geographical location of the lighting lamp, specifically, the node may collect the flow rate of the geographical location of the lighting lamp in real time, where the flow rate includes a traffic flow rate and a pedestrian flow rate, and upload the flow rate information to the platform, so that when the user sets the lighting policy of the lighting lamp, the lighting policy may be set according to different flow rates, taking into account the flow rate information, for example, when the flow rate is lower than a first threshold, in order to save electric energy, the user may set a policy of setting one lighting lamp at a distance, or a policy of reducing the brightness of all the lighting lamps by 50%, so as to save electric energy. When the flow rate is greater than the second threshold, the user may set the illumination policy of the illumination lamp to normal brightness illumination. The lighting policy may be set to an automatic policy when the flow rate is between the first threshold and the second threshold, and so on. The effective time of each policy can be generated in advance according to the historical flow, the first threshold and the second threshold. The method comprises the steps that a platform acquires historical flow, for example, flow within one month of the history, then calculates average flow of each time period, determines corresponding time intervals according to a first threshold and a second threshold, and takes the time intervals as effective time of the lighting strategies.
S204: and acquiring the current time, and extracting the lighting strategy corresponding to the current time.
Specifically, when determining the lighting strategy, the node first reads the current time, and then compares the current time with the effective time of the lighting strategy, so as to determine the corresponding lighting strategy.
In one embodiment, the node does not read the current time in real time and compare the current time with the effective time of the lighting policy, and the node may determine the comparison time according to the effective time of the lighting policy currently executed by the node, for example, when a preset time period exists after the effective time of the current lighting policy is ended, the node reads the current time, adds the current time to the preset time period (i.e., a time period after the effective time of the currently executed lighting policy is ended) to obtain a reference time, and then compares the reference time with the effective time of the lighting policy to determine the lighting policy.
S206: when there are at least two extracted lighting strategies, the highest priority lighting strategy is obtained.
Specifically, the priority is the priority of each lighting strategy set by the platform, and a user can determine the priority of each lighting strategy according to historical information such as flow and illuminance, so that energy is saved on the premise that the environment is fully considered and the lighting is not affected.
Because a plurality of lighting strategies exist in the node, the node may acquire at least two lighting strategies according to the effective time, and if the node only acquires one lighting strategy corresponding to the effective time, the node may directly execute the lighting strategies.
S208: a lighting strategy is implemented to control the lighting lamps.
Specifically, after acquiring the corresponding lighting strategy, the node executes the lighting strategy, thereby controlling the lighting lamp.
It should be noted that the illumination lamps referred to in this embodiment may refer to street lamps, street lamps in a cell, illumination lamps in a unit building or an office building, even illumination lamps in a factory building, and the like, and are not limited herein.
According to the lighting lamp control method, the lighting lamp control device, the computer equipment and the medium based on the Internet of things, the plurality of lighting strategies are arranged at the nodes, so that the nodes can obtain the corresponding lighting strategies according to the effective time and the priority of the lighting strategies, and the lighting is realized while the electric energy is saved.
In one embodiment, the lighting strategy comprises: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node; the generation mode of the automatic strategy comprises the following steps: acquiring an automatic strategy generation condition which is preset by a platform and corresponds to the geographical position of a node; collecting flow corresponding to weather and ambient brightness and each time period; and generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
Specifically, the generation of an automatic policy is mainly introduced in this embodiment, where the automatic policy is mainly generated by a node according to environment information where the node is located, the generation of the automatic policy is related to the geographic position, weather, and ambient brightness of the node and time, and the node performs automatic linkage, where the platform may preset automatic policy generation conditions corresponding to the geographic position of the node, such as generation of conditions of illumination, flow, and time, and if the conditions are met, the automatic policy may be generated according to a correspondence between illumination preset in the node and brightness of an illumination lamp, and in addition, a health rhythm policy in the node is automatically executed, and a preset human rhythm policy automatically adjusts color temperature and illumination.
In particular, in practical applications, the automatic policy is generated in real time, and the automatic policy is executed when the corresponding lighting policy does not exist or the existing aging time corresponds to the automatic policy.
In practical application, when an automatic policy needs to be executed, an initial automatic policy is generated according to weather, ambient brightness and an automatic policy generation condition and executed, then the effective time of the initial automatic policy is determined according to corresponding flow, and whether the effective time is over or not is periodically judged so as to determine the next lighting policy.
The initial automatic policy may be generated according to the automatic policy generation condition issued by the platform, that is, the brightness of the illumination lamp corresponding to the weather and the ambient brightness, so as to adjust the brightness and/or the on/off of the illumination lamp in real time.
In the above embodiment, a method for generating an automatic policy is provided.
In one embodiment, the lighting strategy further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node; the generation mode of the user strategy comprises the following steps: and sending the geographical position, the application scene and the flow corresponding to each time period of the node to the platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and setting the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
Specifically, the user policy is configured by the platform side according to the geographical position of the node, the application scene and the time according to the instruction of the user, wherein the user sets the user policy, sets the on-off time and the illumination brightness of the illumination lamp according to the difference between the region and the time order to generate the user policy, and sends the generated user policy to the corresponding node.
Specifically, the user policy may be generated according to historical data corresponding to each node received by the platform, where the platform may analyze the historical data in advance according to a preset logic, for example, may calculate a flow rate corresponding to each time period, and obtain an application scenario and a geographical location where the node is located, and when the user sets the lighting policy of the node, the result obtained by analyzing the historical data may be displayed so as to be considered by the user, for example, the user may generate an initial user policy according to the geographical location and the application scenario, for example, if the geographical location is north, and the application scenario is a street lamp in winter, since the lighting time in the north is late, the effective time of the lighting policy may be set to be prolonged backward, if the geographical location is north, and the application scenario is a street lamp in winter, since the black time in the north is early, it is thus possible to set the effective time of the lighting strategy to be extended forward. In addition, the user can set the effective time of the initial user policy according to the flow rate corresponding to each time period, for example, although the geographic position is in the north, the application scene is a street lamp in winter, and the north day time in winter is later, no pedestrian or vehicle passes through the road section in the morning from 5:00 to 6:00, or the number of pedestrians or vehicles passes through the road section is less, so that the illumination brightness can be set to be reduced, or one illumination mode is set for each time, and the like, so as to achieve the purpose of energy conservation.
In addition, the user can set the priority of each lighting strategy on the platform side, so that the front-end node can execute the lighting strategy with high priority according to the priority set by the user. For example, when the priority of the light on/off strategy is higher than that of the local automatic strategy of the node according to the current order, the node adjusts the light on/off time according to the strategy set by the user, namely the user strategy, and simultaneously transmits information such as the light on/off state of the local lighting equipment back to the platform, so as to facilitate subsequent analysis. When the local automatic strategy of the node, namely the strategy priority of the light on/off judged according to the illumination intensity is higher than the user strategy issued by the remote user, the node adjusts the light on/off time according to the automatic strategy, for example, according to the local illumination intensity.
In the above embodiment, a generation manner of the user policy is given.
In one embodiment, implementing a lighting strategy to control a lighting lamp comprises: when the lighting strategy is a single-lamp control strategy, acquiring a corresponding lighting lamp and executing the single-lamp control strategy to control the single lighting lamp; and when the lighting strategy is a group control strategy, acquiring a corresponding lighting lamp set, and executing the group control strategy to control the lighting lamps in the lighting lamp set.
Specifically, as shown in fig. 1, each of the lighting lamps is individually controlled, that is, a single lamp control strategy corresponding to the lighting lamp is firstly obtained to control the single lighting lamp, and each lighting lamp is group-controlled by a loop control node, so that the loop control node can control all the lighting lamps on the loop, wherein in normal use, if there are both individually controlled lighting strategies and group-controlled lighting strategies, the priority of the individually controlled lighting strategies and the group-controlled lighting strategies can be set, and thus it is determined according to the priority whether the lighting lamp is controlled according to the lighting strategy of the individually controlled node or the lighting strategy of the loop control node. Thereby realizing the combination of single control and group control.
In the above embodiments, single control and group control are implemented.
In one embodiment, after the lighting strategy is executed to control the lighting lamp, the method comprises: the method comprises the steps of collecting the lamp turning-on and turning-off states of the illuminating lamp, uploading the lamp turning-on and turning-off states to a platform, enabling the platform to count illumination time according to preset granularity according to the states of the illuminating lamp, and calculating power consumption according to the illumination time.
Specifically, the light on/off state includes the time when the light is turned on and the brightness of the illumination light when the light is turned on.
The node executes the lighting strategy, and simultaneously, collects the on-off state of the lighting lamp in real time and uploads the on-off state to the platform. The platform calculates the lighting time and the power of the corresponding lighting brightness according to the switching time of the lighting lamp and the brightness of the lighting lamp when the lighting lamp is turned on, and then calculates the power consumption according to the lighting time and the power.
Specifically, assuming that a lighting lamp in a month has two periods of time, namely, a segment a and a segment b, and the lighting power in a1 segment a of a is c1, the lighting power in a2 segment a is c2, the lighting power in b1 segment b is c3, and the lighting power in b2 segment b is c4, the power consumption of the day is a1 c1+ a2 c2+ b1 c3+ b2 c4, so that the power consumption can be counted by day, and can be counted by month or year, and the counting method is still as shown above.
In one embodiment, after the electricity consumption is counted, a ring ratio or a same ratio may be performed to determine the change of the electricity consumption.
In the above embodiment, the platform may count the calculation of the lighting time and the power consumption according to the light on/off state uploaded by the node.
In one embodiment, the lighting lamp control method based on the internet of things further includes: collecting an electric signal of an illuminating lamp, and judging whether the electric signal is abnormal or not; when the electrical signal is abnormal, the electrical signal is sent to the platform, so that the platform determines the fault level of the illuminating lamp according to the electrical signal, and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
Specifically, the node collects the electrical signals of the illuminating lamp in real time in the lighting or non-lighting time of the illuminating lamp and uploads the electrical signals to the platform in real time, so that the platform can judge whether the illuminating lamp is in fault according to the electrical signals, statistics of fault states and reasons is carried out, fault alarm is carried out, and maintenance personnel and the like are informed through various methods.
When the platform judges whether the illuminating lamp has a fault according to the electrical signals, the parameters such as voltage or current of the illuminating lamp can be acquired, and when the nodes upload the electrical signals, the nodes can locally judge, so that only abnormal electrical signals are uploaded, the phenomenon that the data volume is large is avoided, after the platform receives the electrical signals, the fault level of the illuminating lamp can be determined according to the deviation degree of the electrical signals, and different troubleshooting strategies are set according to different fault levels. For example, for high failure levels, maintenance personnel may be immediately notified for an immediate field investigation. And for the low fault level, the fault task quantity can be distributed according to the geographical position of the illuminating lamp and/or the name of each maintenance person, so that the corresponding maintenance person can process the fault task, and the fault of the illuminating lamp can be overhauled when the maintenance person passes through the illuminating lamp when processing the task. And after troubleshooting is completed, the site is recovered to be normal, the nodes execute the lighting strategy according to the user priority setting, and the lighting equipment is controlled to be on or off by the single or the group, so that the energy conservation of the lighting equipment is realized.
In the above embodiment, the fault maintenance of the lighting lamp can be performed according to the abnormal data uploaded by the node, so that energy leakage is avoided, and the purpose of energy conservation is achieved.
In one embodiment, the lighting lamp control method based on the internet of things further includes: when the network state is an off-line state, locally storing the acquired lighting lamp information; and when the network state is an online state, locally stored lighting lamp information is uploaded to the platform.
Specifically, in this embodiment, the offline reminding function of the node is mainly implemented, the platform may detect the state of the node in real time, and when the node is in the offline state, obtain the geographic location information of the node and remind, for example, highlight or pop out of the window.
In addition, the nodes can also detect the network state of the nodes in real time, for example, whether the information of the platform is received is taken as a judgment standard, if the information is in an off-line state, the acquired lighting lamp information is locally stored, and after the network is recovered, the lighting lamp information is uploaded to the platform, so that the data loss is avoided.
In the above embodiment, the network state of the node can be prompted, so that information loss is avoided.
Specifically, referring to fig. 3, fig. 3 is a lighting lamp control method based on the internet of things in another embodiment, where the method may include:
firstly, after the nodes are powered on the platform and are networked, the nodes are registered on the platform to realize information intercommunication with the platform.
Secondly, at the platform, the platform can receive a user policy set by a user, wherein the user policy is information such as switching time and brightness set according to the geographical position and the current order, and the platform can issue the user policy to a corresponding front-end node.
In addition, the platform can also set the priority of the strategy, so that the front-end node can execute the corresponding strategy according to the priority set by the user, for example, when the user makes the priority of the light on/off strategy higher than the local automatic strategy of the node according to the current, the node adjusts the light on/off time according to the strategy set by the user, namely the user strategy, and simultaneously transmits the information of the light on/off state of the local lighting equipment back to the platform, so as to facilitate the subsequent analysis. When the local automatic strategy of the node, namely the strategy priority of the light on/off judged according to the illumination intensity is higher than the user strategy issued by the remote user, the node adjusts the light on/off time according to the automatic strategy, for example, according to the local illumination intensity.
The nodes can also acquire electrical data of the illuminating lamp and judge whether the electrical data are abnormal or not, if the electrical data are abnormal, the electrical data are uploaded to the platform, the platform judges fault levels according to the electrical data and sends fault information to corresponding users, the users can perform troubleshooting on the site according to the fault information and the positions of the nodes, after troubleshooting is completed, the site is recovered to be normal, the nodes set and execute lighting strategies according to user priorities, and the lighting equipment is controlled to be on or off according to single and group, so that energy conservation of the lighting equipment is achieved.
According to the lighting lamp control method based on the Internet of things, more efficient lighting control can be realized for the lighting lamp, and therefore energy-saving lighting is realized.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 4, there is provided an lighting lamp control device based on the internet of things, the device is applied to a node in network communication with a platform, and the node is used for controlling at least one lighting lamp implemented based on the internet of things; the method comprises the following steps: the policy reading module 100, the policy selecting module 200, the policy extracting module 300, and the policy executing module 400, wherein:
the lighting strategy reading module 100 is configured to read at least one pre-stored lighting strategy, where the lighting strategy includes a strategy effective time and a priority, and the effective time is set according to a flow rate of a geographical location where the lighting lamp is located;
a strategy selection module 200, configured to obtain a current time and extract an illumination strategy corresponding to the current time;
a policy extraction module 300, configured to, when there are at least two extracted lighting policies, obtain a lighting policy with a highest priority;
a strategy execution module 400 for executing a lighting strategy for controlling the lighting lamps.
In one embodiment, the lighting strategy comprises: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node;
this light controlling means based on thing networking includes:
the condition acquisition module is used for acquiring automatic strategy generation conditions which are preset by the platform and correspond to the geographic positions of the nodes;
the flow acquisition module is used for acquiring flow corresponding to weather and environment brightness and each time period;
and the automatic strategy generation module is used for generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
In one embodiment, the lighting strategy further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node;
this light controlling means based on thing networking includes:
and the user policy generation module is used for sending the geographical position, the application scene and the flow corresponding to each time period of the node to the platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and sets the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
In one embodiment, the policy enforcement module 400 includes:
the single lamp control module is used for acquiring the corresponding illuminating lamp and executing the single lamp control strategy to control the single illuminating lamp when the illumination strategy is the single lamp control strategy;
and the group control module is used for acquiring the corresponding illuminating lamp set when the illumination strategy is the group control strategy, and executing the group control strategy to control the illuminating lamps in the illuminating lamp set.
In one embodiment, the lighting lamp control device based on the internet of things comprises:
the electric quantity calculation module is used for collecting the lamp on-off state of the illuminating lamp and uploading the lamp on-off state to the platform, so that the illumination time is counted according to the preset granularity by the platform according to the state of the illuminating lamp, and the electric quantity is calculated according to the illumination time.
In one embodiment, the lighting lamp control device based on the internet of things comprises:
the abnormity judgment module is used for acquiring an electric signal of the illuminating lamp and judging whether the electric signal is abnormal or not;
the fault processing module is used for sending the electrical signal to the platform when the electrical signal is abnormal, so that the platform determines the fault level of the illuminating lamp according to the electrical signal and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
In one embodiment, the lighting lamp control device based on the internet of things comprises:
the storage module is used for locally storing the acquired lighting lamp information when the network state is an offline state;
and the uploading module is used for uploading the locally stored lighting lamp information to the platform when the network state is an online state.
For specific limitations of the lighting lamp control device based on the internet of things, reference may be made to the above limitations of the lighting lamp control method based on the internet of things, and details thereof are not repeated here. All or part of the modules in the lighting lamp control device based on the internet of things can be realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a small server or a terminal, and its internal structure diagram may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the lighting strategy. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize an illuminating lamp control method based on the Internet of things.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: reading at least one pre-stored lighting strategy, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position of the lighting lamp; acquiring current time, and extracting a lighting strategy corresponding to the current time; when at least two extracted lighting strategies exist, the lighting strategy with the highest priority is obtained; a lighting strategy is implemented to control the lighting lamps.
In one embodiment, the lighting strategies involved in the execution of the computer program by the processor include: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node; the automatic policy generation mode realized when the processor executes the computer program comprises the following steps: acquiring an automatic strategy generation condition which is preset by a platform and corresponds to the geographical position of a node; collecting flow corresponding to weather and ambient brightness and each time period; and generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
In one embodiment, the lighting strategy involved in executing the computer program by the processor further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node; the user policy generation mode implemented when the processor executes the computer program includes: and sending the geographical position, the application scene and the flow corresponding to each time period of the node to the platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and setting the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
In one embodiment, the implementation of a lighting strategy to control a lighting lamp, as implemented by a processor executing a computer program, comprises: when the lighting strategy is a single-lamp control strategy, acquiring a corresponding lighting lamp and executing the single-lamp control strategy to control the single lighting lamp; and when the lighting strategy is a group control strategy, acquiring a corresponding lighting lamp set, and executing the group control strategy to control the lighting lamps in the lighting lamp set.
In one embodiment, the implementation of the lighting strategy to control the lighting lamp, as implemented by the processor executing the computer program, comprises: the method comprises the steps of collecting the lamp turning-on and turning-off states of the illuminating lamp, uploading the lamp turning-on and turning-off states to a platform, enabling the platform to count illumination time according to preset granularity according to the states of the illuminating lamp, and calculating power consumption according to the illumination time.
In one embodiment, the processor, when executing the computer program, further performs the steps of: collecting an electric signal of an illuminating lamp, and judging whether the electric signal is abnormal or not; when the electrical signal is abnormal, the electrical signal is sent to the platform, so that the platform determines the fault level of the illuminating lamp according to the electrical signal, and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the network state is an off-line state, locally storing the acquired lighting lamp information; and when the network state is an online state, locally stored lighting lamp information is uploaded to the platform.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: reading at least one pre-stored lighting strategy, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position of the lighting lamp; acquiring current time, and extracting a lighting strategy corresponding to the current time; when at least two extracted lighting strategies exist, the lighting strategy with the highest priority is obtained; a lighting strategy is implemented to control the lighting lamps.
In one embodiment, the lighting strategy involved when the computer program is executed by the processor comprises: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node; the automatic policy generation means implemented when the computer program is executed by the processor comprises: acquiring an automatic strategy generation condition which is preset by a platform and corresponds to the geographical position of a node; collecting flow corresponding to weather and ambient brightness and each time period; and generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
In one embodiment, the lighting strategy involved when the computer program is executed by the processor further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node; the user policy is generated when the computer program is executed by the processor in a manner that includes: and sending the geographical position, the application scene and the flow corresponding to each time period of the node to the platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and setting the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
In one embodiment, the implementation of a lighting strategy to control a lighting lamp, implemented when the computer program is executed by a processor, comprises: when the lighting strategy is a single-lamp control strategy, acquiring a corresponding lighting lamp and executing the single-lamp control strategy to control the single lighting lamp; and when the lighting strategy is a group control strategy, acquiring a corresponding lighting lamp set, and executing the group control strategy to control the lighting lamps in the lighting lamp set.
In one embodiment, the implementation of the lighting strategy to control the lighting lamp, as implemented by the computer program when executed by the processor, comprises: the method comprises the steps of collecting the lamp turning-on and turning-off states of the illuminating lamp, uploading the lamp turning-on and turning-off states to a platform, enabling the platform to count illumination time according to preset granularity according to the states of the illuminating lamp, and calculating power consumption according to the illumination time.
In one embodiment, the computer program when executed by the processor further performs the steps of: collecting an electric signal of an illuminating lamp, and judging whether the electric signal is abnormal or not; when the electrical signal is abnormal, the electrical signal is sent to the platform, so that the platform determines the fault level of the illuminating lamp according to the electrical signal, and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the network state is an off-line state, locally storing the acquired lighting lamp information; and when the network state is an online state, locally stored lighting lamp information is uploaded to the platform.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. The lighting lamp control method based on the Internet of things is characterized in that the method is applied to a node which is in network communication with a platform, and the node is used for controlling at least one lighting lamp which is realized based on the Internet of things; the method comprises the following steps:
reading at least one pre-stored lighting strategy, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position of the lighting lamp;
acquiring current time, and extracting a lighting strategy corresponding to the current time;
when at least two extracted lighting strategies exist, the lighting strategy with the highest priority is obtained;
the lighting strategy is executed to control a lighting lamp.
2. The method of claim 1, wherein the lighting strategy comprises: the node generates an automatic strategy according to the geographical position, weather, environment brightness and time of the node;
the generation mode of the automatic strategy comprises the following steps:
acquiring an automatic strategy generation condition which is preset by a platform and corresponds to the geographical position of the node;
collecting flow corresponding to weather and ambient brightness and each time period;
and generating an initial automatic strategy according to the weather, the ambient brightness and the automatic strategy generation conditions, and setting the effective time of the initial automatic strategy according to the flow corresponding to each time period to obtain the automatic strategy.
3. The method of claim 2, wherein the lighting strategy further comprises: the platform configures a user strategy according to the geographic position, the application scene and the time of the node;
the generation mode of the user strategy comprises the following steps: and sending the geographical position, the application scene and the flow corresponding to each time period of the node to a platform, so that the platform generates an initial user policy according to the geographical position and the application scene, and setting the effective time of the initial user policy according to the flow corresponding to each time period to obtain the user policy.
4. The method of claim 1, wherein said executing the lighting strategy to control a lighting lamp comprises:
when the lighting strategy is a single-lamp control strategy, acquiring a corresponding lighting lamp and executing the single-lamp control strategy to control the single lighting lamp;
and when the lighting strategy is a group control strategy, acquiring a corresponding lighting lamp set, and executing the group control strategy to control the lighting lamps in the lighting lamp set.
5. The method of claim 1, wherein after the executing the lighting strategy to control a lighting lamp comprises:
the method comprises the steps of collecting the lamp turning-on and turning-off states of the illuminating lamp, uploading the lamp turning-on and turning-off states to a platform, enabling the platform to count illumination time according to the states of the illuminating lamp and preset granularity, and calculating power consumption according to the illumination time.
6. The method of claim 1, further comprising:
collecting an electrical signal of the illuminating lamp, and judging whether the electrical signal is abnormal or not;
when the electrical signal is abnormal, the electrical signal is sent to the platform, so that the platform determines the fault level of the illuminating lamp according to the electrical signal, and carries out fault processing on the illuminating lamp according to a processing strategy corresponding to the fault level; the processing strategies comprise an instant field troubleshooting strategy with a high fault level and a task allocation troubleshooting strategy with a low fault level.
7. The method of claim 1, further comprising:
when the network state is an off-line state, locally storing the acquired lighting lamp information;
and when the network state is an online state, uploading the locally stored lighting lamp information to the platform.
8. The lighting lamp control device based on the Internet of things is characterized in that the device is applied to a node which is in network communication with a platform, and the node is used for controlling at least one lighting lamp which is realized based on the Internet of things; the device comprises:
the lighting strategy reading module is used for reading at least one lighting strategy which is stored in advance, wherein the lighting strategy comprises strategy effective time and priority, and the effective time is set according to the flow of the geographical position where the lighting lamp is located;
the strategy selection module is used for acquiring the current time and extracting the illumination strategy corresponding to the current time;
the strategy extraction module is used for acquiring the lighting strategy with the highest priority when at least two lighting strategies exist;
a strategy execution module for executing the lighting strategy to control the lighting lamp.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202110321231.2A 2021-03-25 2021-03-25 Lighting lamp control method and device based on Internet of things, computer equipment and medium Pending CN113099592A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110321231.2A CN113099592A (en) 2021-03-25 2021-03-25 Lighting lamp control method and device based on Internet of things, computer equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110321231.2A CN113099592A (en) 2021-03-25 2021-03-25 Lighting lamp control method and device based on Internet of things, computer equipment and medium

Publications (1)

Publication Number Publication Date
CN113099592A true CN113099592A (en) 2021-07-09

Family

ID=76670023

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110321231.2A Pending CN113099592A (en) 2021-03-25 2021-03-25 Lighting lamp control method and device based on Internet of things, computer equipment and medium

Country Status (1)

Country Link
CN (1) CN113099592A (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101969713A (en) * 2010-08-11 2011-02-09 天津工业大学 LED street lamp control system based on electric power carrier communication technology
CN102933004A (en) * 2012-11-20 2013-02-13 杭州意博高科电器有限公司 Intelligent urban illumination information management system and method
CN103052230A (en) * 2012-12-21 2013-04-17 杭州瑞琦信息技术有限公司 Street lamp energy-saving control method and street lamp energy-saving management system
CN103327701A (en) * 2013-06-26 2013-09-25 广州中国科学院软件应用技术研究所 Street lamp fault monitoring system
WO2014147494A1 (en) * 2013-03-18 2014-09-25 Koninklijke Philips N.V. Methods and apparatus for information management and control of outdoor lighting networks
CN105960081A (en) * 2016-07-26 2016-09-21 厦门华泉智慧能源科技有限公司 Method and device for adjusting lighting brightness
CN106211518A (en) * 2016-08-26 2016-12-07 特斯联（北京）科技有限公司 A kind of intelligent city's means of illumination and system
CN106304555A (en) * 2016-08-24 2017-01-04 北京艾普智城网络科技有限公司 Control method, Apparatus and system for lighting mains
CN111669864A (en) * 2020-06-29 2020-09-15 滨南城市环境服务集团有限公司 City wisdom lighting system
CN112020184A (en) * 2020-08-28 2020-12-01 重庆电子工程职业学院 Building lighting system and method based on Internet of things
CN112085076A (en) * 2020-08-27 2020-12-15 河北智达光电科技股份有限公司 Decision-making method and device based on smart street lamp big data and terminal

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101969713A (en) * 2010-08-11 2011-02-09 天津工业大学 LED street lamp control system based on electric power carrier communication technology
CN102933004A (en) * 2012-11-20 2013-02-13 杭州意博高科电器有限公司 Intelligent urban illumination information management system and method
CN103052230A (en) * 2012-12-21 2013-04-17 杭州瑞琦信息技术有限公司 Street lamp energy-saving control method and street lamp energy-saving management system
WO2014147494A1 (en) * 2013-03-18 2014-09-25 Koninklijke Philips N.V. Methods and apparatus for information management and control of outdoor lighting networks
CN103327701A (en) * 2013-06-26 2013-09-25 广州中国科学院软件应用技术研究所 Street lamp fault monitoring system
CN105960081A (en) * 2016-07-26 2016-09-21 厦门华泉智慧能源科技有限公司 Method and device for adjusting lighting brightness
CN106304555A (en) * 2016-08-24 2017-01-04 北京艾普智城网络科技有限公司 Control method, Apparatus and system for lighting mains
CN106211518A (en) * 2016-08-26 2016-12-07 特斯联（北京）科技有限公司 A kind of intelligent city's means of illumination and system
CN111669864A (en) * 2020-06-29 2020-09-15 滨南城市环境服务集团有限公司 City wisdom lighting system
CN112085076A (en) * 2020-08-27 2020-12-15 河北智达光电科技股份有限公司 Decision-making method and device based on smart street lamp big data and terminal
CN112020184A (en) * 2020-08-28 2020-12-01 重庆电子工程职业学院 Building lighting system and method based on Internet of things

Similar Documents

Publication Publication Date Title
CN202721876U (en) Single lamp monitoring system for LED streetlamp
CN114928924B (en) Intelligent street lamp control system based on urban road management
CN111564053B (en) Vehicle scheduling method and device, vehicle scheduling equipment and storage medium
Gagliardi et al. A smart city adaptive lighting system
CN111263497B (en) Intelligent optical configuration system and method based on wireless Mesh ad hoc network
CN111556608A (en) Illumination control method, control system and terminal based on LoRa wireless communication
CN114258178B (en) Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp
CN117812777B (en) Street lamp monitoring method, system, equipment and medium based on Internet of things
CN107087325B (en) Intelligent method for controlling street lamps
CN108181860A (en) The method and control system of street lamp networking based on NB-IOT
CN113099595A (en) Intelligent street lamp control management system and automatic dimming method
CN113099592A (en) Lighting lamp control method and device based on Internet of things, computer equipment and medium
CN113939065B (en) Intelligent city lamplight operation method and system
CN107066074A (en) A kind of many environment-friendly and energy-saving control methods of LED display and system
CN116683470A (en) Load adjusting method, system and terminal based on people stream density
CN116782450A (en) Intelligent street lamp remote control system
CN113692097B (en) Automatic community lamplight control system
CN212013112U (en) Illumination control system based on loRa wireless communication
CN113747638B (en) Internet of things communication data processing method for intelligent lamp post
CN114390762A (en) Adaptive dimming system based on edge calculation and working method thereof
CN210120688U (en) Artificial intelligence lighting system
CN109951930A (en) A kind of method, equipment and the device of lamp terminal control
CN219068432U (en) Campus wisdom street lamp controlling means
Ding et al. DESIGNING OF PROGRAMMABLE LOGIC CONTROLLER FOR INTELLIGENT POWER SAVING SYSTEM
CN114245546B (en) Street lamp control method, system, street lamp, computer device and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210709

RJ01 Rejection of invention patent application after publication