A remote street lamp group intelligent control system and method
Through the remote street light group intelligent control system, the Internet of Things terminals and multi-source data fusion computing is used to realize intelligent control of street light groups, solving the problems of poor environmental adaptability and low management and maintenance efficiency of traditional street light management systems, reducing costs and improving the accuracy of control decisions.
Patent Information
- Application Number
- CN202411567383.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-04-22
- Estimated Expiration
- 2044-11-05
AI Technical Summary
The traditional street light management system has poor environmental adaptability and cannot intelligently adjust according to actual lighting, weather and other environmental conditions, resulting in excessive lighting or insufficient illumination, waste of energy and safety hazards, and low management and maintenance efficiency and high cost.
The remote street light group intelligent control system is adopted, including the perception control layer, the platform service layer, the network transmission layer and the terminal application layer. Through the Internet of Things terminal, sensor modules, controllers and actuators are integrated to realize remote intelligent control of street light groups, combined with multi-source data fusion computing, considering a variety of environmental factors, and improving the accuracy of control decisions.
It reduces installation and maintenance costs, solves the complex problems of single-light control, improves the environmental adaptability and intelligent management capabilities of street light control, and reduces energy waste and safety hazards.
Smart Images

Figure CN119233499B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of street lamp control, and in particular to a remote street lamp group intelligent control system and method. Background Art
[0002] As an important part of urban infrastructure, street lighting undertakes multiple functions such as ensuring public safety and promoting convenient transportation, which is directly related to the safety of residents' lives. Usually, traditional urban street lighting management systems usually adopt manual or timed switch control methods, and their fault detection mainly relies on manual inspections and citizen complaints. With the rapid development of urbanization, street lights are widely distributed and numerous infrastructure in cities, and the limitations of traditional street lighting management methods are becoming increasingly significant: traditional street lighting management methods have poor environmental adaptability and cannot be intelligently adjusted according to actual lighting, weather and other environmental conditions, resulting in excessive lighting or insufficient illumination, which is easy to cause energy waste and safety hazards; at the same time, management and maintenance efficiency is low-cost and costly. With the expansion of urbanization, the manpower and time costs required for manual inspections have increased dramatically, resulting in delayed fault detection and untimely processing, affecting lighting and road safety. With the expansion of urban scale and the development of science and technology, traditional street light management systems with isolated information data and lack of intelligent decision-making support are obviously unable to meet the needs of modern cities for intelligent, energy-saving and efficient management.
[0003] With the development of technology, some people have proposed new street light control technologies. For example, patent CN 105744701 A "Light-controlled street light controller" proposes to use photoresistors in combination with relays, NPN triodes and other basic electronic components to realize automatic street light control. The low-resistance state characteristics of the photoresistors installed on the street lights are used to control the on-off of the relays connected in series to the street light circuit, thereby completing the switch control of a single street light. This method has improved the flexibility of traditional manual control or timing control of street lights to a certain extent, but there are still major limitations. Street light control relies on a single photosensor, which is susceptible to environmental interference such as ambient light pollution and reflected light, as well as extreme weather conditions (heavy rain, haze, dust, etc.) and aging of photosensitive devices. These problems will affect the performance of the photoresistors, resulting in abnormal control of the recorded data. At the same time, this type of control method is limited to the isolation of single street light data, lacks centralized analysis, remote control, and dynamic adjustment capabilities, and still cannot be separated from manual inspections for troubleshooting, requiring huge maintenance costs.
[0004] In addition, patent CN 106413231 A "A wireless control method and system for smart street lamps" proposes to use NB-IOT wireless communication module to connect the single lamp controller installed on the street lamp fixture to the Internet to achieve intelligent control of the street lamp. Similarly, other patents propose to use communication means such as ZIGBEE, LoRa, GPRS, etc. to connect the single lamp controller directly or indirectly to the Internet to achieve street lamp control. This type of control method is highly dependent on the Internet network it builds, and the lack of standardization from the physical layer to the protocol layer of the communication equipment brings compatibility problems. In addition, this type of control method relies on single-lamp control and requires the installation of sensors and communication antennas on each street lamp. The single-lamp controller is integrated into the street lamp fixture in design, which is costly, difficult to install and deploy, and difficult to maintain later. Summary of the invention
[0005] In order to overcome the above technical defects, the purpose of the present invention is to provide a remote street lamp group intelligent control system and method to solve the problem that most existing street lamp controls need to be arranged as single lamp controls, which results in complex control.
[0006] The present invention discloses a remote street lamp group intelligent control system, comprising a plurality of street lamp groups and a box-type transformer control cabinet. The remote street lamp group intelligent control system further comprises:
[0007] -Perception control layer, based on the deployment of street light groups and box-type transformer control cabinets;
[0008] - Platform service layer, a cloud platform for data aggregation and analysis, equipment and user management of remote street light group intelligent control systems;
[0009] -Network transport layer, used to establish communication between the perception control layer and the platform service layer to provide data transmission;
[0010] -Terminal application layer, connected to at least one terminal device, communicates and exchanges data with the perception control layer;
[0011] The box-type transformer control cabinet integrates an Internet of Things terminal for controlling each street light group. The Internet of Things terminal integrates an information processing unit and a street light group switch control and adjustment module.
[0012] The box-type transformer control cabinet includes:
[0013] Sensor modules provide environmental data and power supply data of street light groups;
[0014] The controller is integrated in the information processing unit, processes data according to the data provided by the sensor module and / or the data obtained through communication with the platform service layer, and outputs a control signal;
[0015] The actuator is integrated in the switch control and adjustment module of the street lamp group, and controls the working state of each street lamp in each street lamp group according to the output signal of the controller;
[0016] The terminal device establishes communication with the perception control layer through the network transmission layer to remotely control the working status of each street lamp in the street lamp group.
[0017] Preferably, the sensor module comprises:
[0018] Illuminance sensor, to obtain illumination data of the area where the street light group is located;
[0019] Optocoupler isolation module, to obtain the power supply data of the street lamp group;
[0020] The positioning module obtains the location data of the area where the street light group is located.
[0021] Preferably, the controller comprises:
[0022] A sensor information processing module communicates with the sensor module, receives data provided by the sensor module, and sends relevant instructions / data to the sensor module;
[0023] The communication module communicates with the platform service layer through the network transmission layer, receives the data obtained through communication, and sends relevant instructions / data to the platform service layer;
[0024] The processing module performs data processing and calculation to output a control signal.
[0025] Preferably, the actuator comprises:
[0026] AC contactor module, providing AC power supply and operating the power supply circuit switch of the street lamp;
[0027] The control relay module receives the control signal output by the controller to control the working state of each street lamp in each street lamp group through the AC contactor module.
[0028] Preferably, it also includes a storage module integrated in the information processing unit of the Internet of Things terminal, which is used to provide data storage for the processing module.
[0029] The present invention also discloses a remote street lamp group intelligent control method, which uses the above street lamp group intelligent control system and includes:
[0030] The perception control layer establishes communication with the terminal application layer and the platform service layer through the network transmission layer;
[0031] The controller executes a control process to obtain environmental data provided by the sensor module and power supply data of the street lamp group, wherein the environmental data includes illumination data and position data;
[0032] The controller receives reference data associated with power supply data and environmental data configured by the terminal application layer through the network transmission layer, obtains the sunrise and sunset schedule and the real-time meteorological visibility data according to the reference data, performs switch interpretation, and generates an output signal containing street lamp operation data, so that the actuator controls the working state of each street lamp in each street lamp group;
[0033] The controller synchronizes environmental data, power supply data, and the working status of each street lamp in the street lamp group to the platform service layer and the terminal application layer, so as to display them visually at the terminal application layer according to user operations.
[0034] Preferably, it also includes:
[0035] The platform service layer receives the switch command remotely issued by the terminal application layer, configures the switch control information according to the control command and sends it to the perception control layer;
[0036] The controller adjusts the working state of the corresponding street light after receiving the switch control information.
[0037] Preferably, before performing switch determination, the method further includes:
[0038] Acquire power supply reference data according to the reference data, wherein the power supply reference data includes a calibrated working voltage, a working current, an abnormal range value exceeding the deviation, and a judgment time;
[0039] The controller performs fault judgment on the power supply data provided by the sensor module according to the power supply reference data. When the power supply data provided by the sensor module exceeds the abnormal range, a fault alarm is sent to the platform service layer and the terminal application layer.
[0040] Preferably, if the perception control layer receives a feedback signal indicating that communication with the terminal application layer / platform service layer through the network transmission layer has failed, the target sunrise and sunset times are calculated based on the location data to perform switch reading to generate an output signal containing street lamp operation data.
[0041] Preferably, calculating the target sunrise and sunset time according to the location data includes:
[0042] Calculate the Julian day based on the real time obtained from the location data and determine the Julian century number based on the preset benchmark;
[0043] According to the Julian century number, the Julian day of sunrise and the Julian day of sunset are calculated in turn using the longitude and latitude, and then the target sunrise and sunset times are obtained by reverse calculation.
[0044] Compared with the prior art, the above technical solution has the following beneficial effects:
[0045] The remote street light group intelligent control system and method provided by the present application include a perception control layer, a network transmission layer, a platform service layer and a terminal application layer. The terminal device establishes communication with the perception control layer through the network transmission layer, and remotely controls the working status of the street lights in the street light group based on the Internet of Things terminal integrated in the box-type transformer control cabinet, and integrates the sampling or control of multiple street lights. Therefore, there is no need to install a perception control communication module for each street light, which greatly reduces the installation and maintenance costs, and solves the problem that most existing street light controls require single-light control and complex control. It also provides multi-source data fusion calculations through multiple sensors to realize intelligent online and offline control solutions for street lights, taking into account the influence of various environmental factors and improving the accuracy of intelligent control decisions for street lights. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] Figure 1 A schematic diagram of the architecture of an embodiment of a remote street lamp group intelligent control system and method according to the present invention;
[0047] Figure 2 This is a schematic diagram of the modules of the perception control layer in an embodiment of a remote street lamp group intelligent control system and method according to the present invention;
[0048] Figure 3 It is a flow chart of a control method in an embodiment of a remote street lamp group intelligent control system and method according to the present invention;
[0049] Figure 4 This is a schematic diagram of a device interface at the terminal application layer in an embodiment of a remote street lamp group intelligent control system and method described in the present invention.
[0050] Reference numerals:
[0051] 1-Perception control layer; 2-Network transmission layer; 3-Platform service layer; 4-Terminal application layer; 5-Box transformer control cabinet; 51-Processing module; 52-Sensor signal processing module; 53-Communication module; 54-Positioning module; 55-Control relay module; 56-Optical coupler isolation module; 57-AC contactor module; 58-Storage module. DETAILED DESCRIPTION
[0052] The advantages of the present invention are further described below in conjunction with the accompanying drawings and specific embodiments.
[0053] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.
[0054] The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms of "a", "said" and "the" used in the present disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items. Depending on the context, the word "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determining".
[0055] In the description of the present invention, it is necessary to understand that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.
[0056] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.
[0057] In the following description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings. Therefore, "module" and "component" can be used interchangeably.
[0058] Embodiment 1: This embodiment discloses a remote street lamp group intelligent control system, which includes a four-layer structure: a perception control layer, a network transmission layer, a platform service layer and a terminal application layer, which is used to control a number of street lamp groups, wherein each layer has different functions and establishes communication with each other to jointly realize the intelligent management and control of the street lamp control system of the system. For details, refer to Figure 1-Figure 2 ,include:
[0059] The perception control layer, based on several street light groups and the remote street light group intelligent control system also includes the deployment of a box-type transformer control cabinet, wherein the box-type transformer control cabinet integrates an Internet of Things terminal for controlling each street light group, and the box-type transformer control cabinet is arranged at a preset position away from the street light group. Each box-type transformer control cabinet can control one or more street light groups, and can control the working status of one / more street lights in the street light group respectively; the box-type transformer control cabinet is close to the geographical location of the street light group it controls, and thus has the same lighting, meteorological and other environmental conditions as the street light group, and the deployment of the street light group can be set to rely on the box-type transformer control cabinet of the street light group, so that only environmental data collection on the box-type transformer control cabinet is required to obtain the environmental data of the corresponding street light group.
[0060] In this embodiment, the street light group box-type transformer control cabinet can be composed of hardware such as an AC power supply and an AC contactor controlled by its switch, an Internet of Things terminal and a communication antenna module, and an external environment sensing sensor. The Internet of Things terminal integrates information processing and a street light group switch control and adjustment module. The street light group switch control and adjustment module integrated in the Internet of Things terminal and the box-type transformer control cabinet jointly complete the street light switch adjustment execution action through the AC power supply and an AC contactor controlled by its switch.
[0061] The network transmission layer establishes communication between the perception control layer and the platform service layer / terminal application layer described below to provide data transmission, and is an important bridge for data forwarding in the system. It mainly includes but is not limited to wireless access devices on IoT terminals that are responsible for receiving and sending wireless signals; base stations (or access points) that are responsible for managing and coordinating wireless communications of devices and connecting devices to the cloud platform (platform service layer); and gateways that are responsible for converting and integrating data from different wireless communication technologies or protocols, and realizing data interaction between base stations and cloud platforms, thereby realizing data forwarding in the system. For example, public base station gateways (NB-IoT, 4G) from third-party operators such as China Mobile, China Unicom or China Telecom, or self-built by users (LoRaWAN) can be used.
[0062] The platform service layer is used to communicate with the perception control layer. It is a cloud platform for data aggregation and analysis, equipment and user management of the street light control system. It has the computing and storage resources required for system cloud computing, and provides the required data, network management and other services for system operation. Specifically, the platform service layer relies on the cloud platform to realize its functions and services, and can also be realized through a large server / server group. The cloud platform provides the computing and storage resources required for cloud computing of the street light control system, and provides the required data, network management and other services for system operation. It provides comprehensive functions and services through multiple levels such as data management, analysis, equipment control, user management, security management, operation and maintenance support, intelligent optimization and user interface. The functions that can be realized by the platform service layer include but are not limited to the following: equipment management functions, including street light equipment registration and identification, equipment status (such as switch status, fault diagnosis) monitoring, equipment configuration and firmware update, etc.; control command processing, receiving and parsing control instructions (such as turning on and off lights, data update, etc.), executing and confirming the success of control instructions; data analysis and processing, collecting and storing equipment data from the perception control layer, and combining the local meteorological and other environmental conditions of the street light group obtained from the network to perform data analysis to optimize street light control decisions and equipment maintenance, and generate reports and statistical data; user management, processing user registration, login, permission management allocation, and maintaining user data and preference settings; notifications and alarms, such as generating and pushing system alarms when equipment fails or anomalies occur, and providing real-time notification functions for system status updates, etc.
[0063] As an example, the cloud platform can be a public cloud operated by a third party, or a user-specific private cloud, or a hybrid cloud as needed. The cloud platform receives and stores street lamp operation data: sensor data, user operation records, fault alarms, online status system configuration and other information. The real-time data is visualized in the form of charts and maps through a visual interface, and the data is stored in the operation database, which supports users to conduct in-depth analysis of historical data, and regularly generate energy consumption analysis reports, fault statistics reports and maintenance record reports, etc., and uses database as a service (DBaaS) to achieve data replication and distribution, providing terminal application layer users with near real-time data access, and pushing regional street lamp real-time status and fault alarms and diagnosis and treatment opinions to users.
[0064] Further optionally, the platform service layer may also provide a management operation interface, so that managers can register and manage regional street lamp equipment at the platform layer and implement remote control of street lamps, including but not limited to switches, scheduled task settings, etc., and process and schedule platform service layer instructions and received terminal application layer instructions to ensure that real-time instructions and delayed instructions can be issued and executed in a timely manner; at the same time, a user information and permission management interface is provided for administrators, and administrators manage user roles and permission allocation, including administrators, maintenance personnel and ordinary users. The system matches login information according to the allocation results to perform system verification and authorization to ensure that only authorized users access and operate the system; further notification and alarm management is provided for administrators, supporting administrators to push real-time and scheduled alarm notifications and configuration updates to the terminal user layer on the platform.
[0065] The terminal application layer is connected to at least one terminal device, and communicates and exchanges data with the control layer; the terminal application layer is the interface part for users to interact with the system, and can provide users with a friendly human-computer interaction interface for operating, monitoring and managing street lights. The above-mentioned terminal devices may include but are not limited to computer PCs, mobile phone terminals, mobile car terminals, etc. Each terminal device may be set up including but not limited to desktop applications, mobile applications, web applications, platform applets, etc., which can be designed according to user needs.
[0066] The specific functions that can be realized under the terminal application layer include but are not limited to: an overview of the real-time status, fault alarm and other information of each street light; user registration, query, control and other operations of street light groups; providing positioning and operation under the street light group map view, and providing navigation functions for users; providing historical data display and analysis report generation functions; supporting users to manually configure relevant parameters of street light groups (entry longitude and latitude, illumination judgment parameters, meteorological conditions, etc.), and supporting timing devices; providing login authentication function, managing access rights and operation rights of different users; receiving abnormal alarms and allowing authorized users to update alarm rule configurations; OTA update management, pushing device firmware and software update confirmation notifications to authorized users, displaying update progress and results, and allowing users to monitor the update process.
[0067] In this embodiment, the box-type transformer control cabinet controls the operation of the street lamp group under the perception control layer, specifically including the switching of each street lamp. The control process can be remotely operated and / or monitored through each terminal device under the terminal application layer.
[0068] Based on the above, it can be understood that the IoT terminal in the box-type transformer control cabinet refers to various devices and sensors connected to the IoT, such as Figure 2The AC contact module, relay, sensor, control module (processing module), communication module, etc. are shown in the figure. These terminal devices can collect data, send data or receive instructions, and connect to the Internet or communicate with other devices. The range of IoT terminal devices is very wide, from simple sensors to complex smart devices, all of which can become IoT terminals. In this embodiment, the various modules / devices / sensors in the box-type transformer control box are divided into sensors, controllers and actuators according to their functions. Therefore, the above-mentioned box-type transformer control cabinet includes:
[0069] The sensor module senses various environmental information and power supply information of the street light group and converts them into signals required for the controller to process and calculate; specifically, the sensor module includes an illumination sensor to obtain illumination data of the area where the street light group is located. The illumination sensor measures the actual illumination of the area to meet the perception requirements from low light at night to strong light during the day; a linear optocoupler isolation module to obtain power supply data of the street light group. The linear optocoupler isolation module can be set to multiple, such as one for each street light group, to achieve accurate sampling of AC voltage and current signals, and to ensure that the power supply circuit of the street light under test is electrically isolated from the circuit used for data processing at the back end, reduce sampling interference and ensure equipment safety; a positioning module to obtain location data of the area where the street light group is located. The positioning module is compatible with Beidou / GPS global positioning system satellites. The location data may include but is not limited to location / time information such as longitude, latitude, and local time of the area where the street light group is located, so as to calculate the local sunrise and sunset time and / or obtain the local meteorological environment online based on the following. Preferably, the sensor module can access the required sensors according to the expansion supported by the system or according to the needs of other users.
[0070] The controller is the brain of the perception control layer, which receives all sensor signal information of the perception control layer and the information data obtained by the communication module and the positioning module for processing and calculation, and outputs control instructions; the controller is responsible for including but not limited to signal (data) processing, local control calculation, IoT communication, data storage, etc., and is integrated on the information processing unit of the IoT terminal. The controller may include but is not limited to: a sensor information processing module that communicates with the sensor module, receives data provided by the sensor module, and sends relevant instructions / data to the sensor module; a communication module that communicates with the platform service layer through the network transmission layer, receives data obtained through communication, and sends relevant instructions / data to the platform service layer; a processing module that processes data to output control signals.
[0071] Specifically, the sensor information processing module realizes the above-mentioned illumination sensor data processing, optocoupler isolation module signal processing and (dual-mode) positioning processing module interface data reception, and sends it to the processing module for calculation. As an option, the sensor information processing module can be set to adopt a universal standard interface design, and an expansion interface is reserved to provide the possibility for subsequent sensor upgrades and expansions; the processing module is used to carry intelligent control local calculation, realize the joint cloud platform to download data when the Internet of Things terminal is in online mode, and locally perceive multiple sensor data to realize intelligent joint control calculation of street lights. When the Internet of Things terminal does not have a wireless network communication mode, it performs local calculation of intelligent control of street lights and data backup storage according to local perception data; the communication module is used to realize wireless network connection, complete the interaction between local data in the controller and platform service layer data, receive platform service layer parameters and remote control instructions, and push local real-time status data (including but not limited to location data, environmental data, working status of each street lamp, etc.) and backup data to the platform service layer, and send the device online status to the control processor mode selection basis.
[0072] An actuator is integrated with the street lamp group switch control and adjustment module of the above-mentioned Internet of Things module, and controls the working state of each street lamp in each street lamp group according to the output signal of the controller; as mentioned above, the working state of the street lamp in this embodiment is completed by the AC power supply, the AC contactor and other control and adjustment modules integrated in the Internet of Things terminal. The actuator includes: an AC contactor module, which provides AC power supply and operates the power supply circuit switch of the street lamp; a control relay module, which receives the control signal output by the controller to control the working state of each street lamp in each street lamp group through the AC contactor module.
[0073] Specifically, the AC contactor module implements the switch operation and remote control of the street lamp power supply circuit, and has the protection performance of low-voltage release. The working voltage can be selected as 220V or 380V according to the actual street lamp power supply voltage. The control relay module is integrated into the Internet of Things and directly receives the DC OC control command of the controller. At the same time, it is responsible for controlling the AC contactor module to realize the disconnection of the AC and DC control circuits, providing control, protection and signal conversion in the system. In addition, the actuator provides remote upgrade and maintenance functions, supports flexible expansion capabilities after the perception control layer is deployed, improves the maintainability of the system and reduces the system maintenance cost.
[0074] Furthermore, in order to enable the box-type transformer control cabinet to work autonomously even in an offline state (no communication established), a storage module integrated in the information processing unit of the Internet of Things terminal is used to provide data storage for the processing module, that is, to store data from the perception control layer equipment, the platform service layer data, and the environmental data and location data collected by the above-mentioned sensors, so as to store data for the following fault diagnosis, offline sunrise and sunset time calculation, etc.
[0075] In this embodiment, the above-mentioned perception control layer is installed based on the street light group box-type transformer control cabinet. The information processing unit of the IoT terminal inside the box-type transformer control cabinet can integrate the sensor processing module, control module, storage module and reserved expansion interface, etc. At the same time, the IoT terminal provides a multi-channel control relay and an optocoupler isolation module, and an external street light power supply control AC contactor to realize the control of the street light power supply switch. The illumination sensor, Beidou / GPS positioning antenna, and communication antenna are installed on the top of the box-type transformer control cabinet. The illumination sensor can be optionally installed in a waterproof and dustproof manner to ensure sufficient illumination; the antenna is pointed to the sky to ensure that it is not blocked.
[0076] As an option, the IoT terminal has a standard expandable hardware interface reserved to support the access of cameras, infrared and other sensor expansions according to the needs of the task and environment. For the above-mentioned communication module, the IoT terminal also provides a standard hardware interface. The communication processing module and antenna can be a NB-IoT communication module and antenna that meet the standard interface design, or a LoRaWAN communication module and antenna or a 4G communication module and antenna. In addition, the above-mentioned control module also has the function of remote updating of software and firmware, and pushes data to the IoT terminal through the network according to the hardware module, and adapts to the extended sensor interface protocol and the communication module interface protocol.
[0077] Based on the above, in this embodiment, the terminal device / cloud platform establishes communication with the perception control layer through the network transmission layer. Specifically, the terminal device / cloud platform establishes communication connection with the Internet of Things terminal deployed in the box-type transformer control cabinet through the network transmission layer, and remotely controls the working status of each street lamp in the street lamp group. Specifically, the box-type transformer control cabinet used for power distribution of regional street lamps is used to deploy the sensor controller actuator in the perception control layer, which provides a safer and more reliable working environment for the perception control layer compared with other designs. On the basis of ensuring that the sensor can perceive the regional environmental conditions, it is not necessary to install a perception control communication module for each street lamp, which greatly reduces the installation and maintenance costs. Further, through the combination of multi-source data such as meteorological parameters obtained by illumination sensors, optocoupler modules and cloud platforms (platform service layers), intelligent control decisions of street lamps are realized, and the environmental adaptability of street lamp control is improved; at the same time, the perception control layer reserves a sensor expansion interface in hardware, and both the perception control layer and the terminal application layer support remote upgrade and update (OTA) in software, which not only reduces the difficulty of equipment upgrade and maintenance operations, but also can be well compatible with old equipment and other different manufacturers' solutions, reducing the complexity of system management and maintenance costs. Finally, the platform service layer and terminal application layer can also be configured to generate and push fault alarms, and the positioning, operation, navigation and other designs under the map view speed up the maintenance response speed.
[0078] It can be understood that this embodiment uses multi-source data fusion calculation to realize intelligent control decision of street lights, so as to improve the environmental adaptability of street light control, judge environmental conditions through fusion calculation of multiple sensor signals, and introduce data such as sunrise and sunset time + real-time weather and meteorology + illumination in the area where the street light group is located into the calculation at the same time, consider the impact of various environmental factors on the lighting status demand of street lights, and improve the accuracy of system decision-making.
[0079] See also Figure 3 This embodiment also provides a remote street light group intelligent control method, which uses the above-mentioned street light group intelligent control system to enable the user to generate control instructions at the terminal application layer, which are transmitted to the perception control layer through the platform service layer to control the working status of each street light in the street light group. It should be noted that the control includes remote control at the terminal application layer, autonomous control at the perception control layer, online control at the perception control layer in the communication state, and offline control at the non-communication state, specifically including the following:
[0080] The perception control layer establishes communication with the terminal application layer and / or the platform service layer through the network transmission layer; in this process, the control process can be divided into an online mode in which communication is successfully established and an offline mode in which communication fails to be established. That is, the controller determines whether the IoT terminal is online based on the feedback status data of the communication module. If the IoT terminal is not online, it enters the offline intelligent computing mode, and if it is online, it enters the joint intelligent computing mode.
[0081] Specifically, when communication is established successfully and in online mode (for joint intelligent computing), then:
[0082] The controller executes the control process to obtain the environmental data provided by the sensor module and the power supply data of the street lamp group, wherein the power supply data includes the street lamp power supply voltage U measured by each optical coupling isolation module i Supply current I i The environmental data includes illumination data lm and location data (including regional longitude lon, latitude lat, altitude H and local time world time lacal (year, month, day, hour, minutes, second); the controller executes the control process, which can be a program preset on the platform service layer / controller, or a signal fed back by the terminal application layer after establishing communication. That is, the control process can be triggered autonomously or passively, and the data collected by each sensor can be acquired sequentially or synchronously.
[0083] The controller receives reference data associated with the power supply data and environmental data configured by the terminal application layer through the network transmission layer and the platform service layer, obtains the sunrise and sunset schedule and the real-time meteorological visibility data according to the reference data, performs switch judgment to generate an output signal containing street light operation data, so that the actuator controls the working status of each street light in each street light group; the controller synchronizes the environmental data, power supply data, and the working status of each street light in the street light group to the platform service layer and the terminal application layer, so as to perform visual display at the terminal application layer according to the user operation.
[0084] Specifically, before performing switch judgment, it also includes: obtaining power supply reference data according to the reference data, wherein the power supply reference data includes a calibrated working voltage, a working current, an abnormal range value, and a judgment time; the controller performs a fault judgment on the power supply data provided by the sensor module according to the power supply reference data, and when the power supply data provided by the sensor module exceeds the abnormal range, a fault alarm is sent to the platform service layer and the terminal application layer.
[0085] That is to say, in the joint intelligent mode, if the fault judgment parameters sent by the platform are received (including calibrated working voltage, current and abnormal range values and judgment time, etc., which the administrator can configure and update through the platform service layer and terminal application layer), the judgment parameters stored locally in the storage module will be updated, and the fault judgment will be performed. If the fault conditions are met, the fault alarm will be pushed to the platform.
[0086] After confirming that there is no fault, that is, the power supply data meets the requirements, the local judgment is made whether the historical regional street light sunrise and sunset schedule saved in the storage module is valid. If invalid, a new sunrise and sunset schedule is requested from the cloud platform, and the sunrise and sunset time of the day is obtained from the valid schedule. Based on the meteorological visibility data received from the cloud platform and the local sensor reading data, the regional street light group control is jointly judged, and the control instructions are output to the control relay to generate street light operation data, which are uploaded to the cloud platform and the terminal application layer.
[0087] Further optionally, in the present embodiment, after the above-mentioned fault interpretation determines that there is no fault, that is, the sunrise and sunset times can be determined, but before the sunset and sunrise times are determined, in order to reduce the risk of historical data being overwritten and lost, a check is made to see if there is any offline mode historical data stored locally. If so, the offline data is uploaded to the platform service layer through the communication module, and the uploaded local offline data is cleared.
[0088] In this embodiment, when each IoT terminal is online, it can instantly receive remote instructions from the terminal application layer to adjust the working status of the street lamp. It also includes: the platform service layer receives the switch instructions remotely issued by the terminal application layer, configures the switch control information according to the control instructions and sends it to the perception control layer; the controller adjusts the corresponding street lamp working status after receiving the switch control information, specifically, including but not limited to performing regional street lamp equipment registration management and being able to implement remote control of street lamps, execute switches, timed task settings, dynamic control, etc.
[0089] The terminal application layer can be various types of applications, including but not limited to desktop applications, mobile applications, web applications, platform applets, etc., and the carriers include but not limited to PC terminals, mobile phone terminals, mobile car terminals, smart wearable devices, etc. The terminal application layer provides users with an account management interface to complete operations such as account registration, password modification, and account deletion. After logging in to the application terminal, users can access system data (obtain data from the above-mentioned perception control layer) according to the permissions assigned by the cloud platform.
[0090] Based on the above, the terminal application layer can provide users with a visual management control interface (see Figure 4 ), by issuing instructions to control the real-time display of the real-time status data of the street light group, including online status, switch status, longitude and latitude meteorological conditions, fault information, etc., allowing users to remotely control the real-time switch and timer switch of the street lights, etc., while providing street light map view positioning and operation, and providing navigation functions for users. The terminal application layer provides users with a device management interface to complete the registration of street light control device information of the perception layer and control layer, equipment software and hardware version management, update and maintenance reporting, remote OTA update confirmation, etc. Furthermore, the terminal application layer can also provide users with a historical data query interface, and support the generation and storage of parameter query reports such as energy consumption data, fault records, and maintenance information to local storage. In addition, the terminal application layer provides an alarm notification interface and a message pop-up window. After the permission maintenance user logs in, he receives real-time fault alarms, update notifications, and regular maintenance notifications from the platform service layer.
[0091] When communication fails and the system is in offline mode (performing intelligent offline calculations), then:
[0092] That is, the perception control layer receives the feedback signal that the communication with the terminal application layer / platform service layer fails through the network transmission layer and the platform service layer, calculates the target sunrise and sunset time according to the location data, performs switch judgment and generates an output signal containing the street light operation data.
[0093] That is to say, in the offline intelligent computing mode, meteorological data is not considered, and only the data collected by hardware such as illuminance sensors and optocoupler modules are combined to perform switch control and fault alarm generation, and the operation data and fault alarm are saved in the local storage and uploaded to the cloud platform after the link is restored. Therefore, in the offline mode, what is different from the above online mode is to determine whether the offline (locally stored by the storage module) sunset schedule is valid. If it is invalid, it is calculated autonomously, and other controls are similar.
[0094] Specifically, this embodiment uses the longitude, latitude and date obtained by the positioning module to calculate the local sunrise and sunset time, thereby reducing the local computing overhead, and through actual application comparison, the accuracy meets the application requirements. The target sunrise and sunset time is calculated according to the location data, including:
[0095] The real-time time is obtained based on the location data to calculate the Julian day, and the Julian century is determined based on a preset benchmark (for example, January 1, 2000). The Julian sunrise and sunset Julian days are calculated in turn based on the longitude and latitude according to the Julian century, and then the target sunrise and sunset times are obtained by reverse calculation.
[0096] As an example, the specific calculation refers to the following formula: y=year+4800-a;m=month+12a-3, then Julian day: Julian century number: n = round(n*) where J date is the Julian day; lon is the longitude value (positive east, negative west); n is the Julian century number based on January 1, 2000. Then calculate the solar noon time: J* is the solar noon time at lon longitude. Then calculate the solar mean anomaly M: M = [357.5291 + 0.98560028 × (J*-2451545)] mod360; then calculate the central difference: C = 1.9148 × sin (M) + 0.0200 × sin (2M) + 0.0003 × sin (3M); then calculate the ecliptic longitude: λ = (M + 102.9372 + C + 180) mod360; then calculate the transit sidereal time:
[0097] J transit = J* + (0.0053 × sin (M)) - (0.0069 × sin (2λ)); then calculate the solar declination: δ = sin -1 (sin(λ)×sin(23.45)); then calculate the hour angle:
[0098] The Julian day for sunrise and sunset is calculated based on the hour angle. The Julian day for sunset is:
[0099]
[0100] The Julian day of sunrise is: J rise =J transit -(J set -J transit );
[0101] The target sunrise and sunset times are obtained from this:
[0102] hour=[(J-[J])×86400 / 60 / 60];
[0103] minute=[((J-[J])×86400 / 60 / 60-hour)*60];
[0104] second=[(((J-[J])×86400 / 60 / 60-hour)*60-minutes)*60].
[0105] It should be noted that the above formula calculation is only for example, and the specific parameters can be adjusted according to the actual application scenario.
[0106] It should be noted that the embodiments of the present invention have better practicability and do not impose any form of limitation on the present invention. Any technician familiar with the field may use the technical content disclosed above to change or modify it into an equivalent effective embodiment. However, any modification or equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.
Claims
1. A remote street lamp group intelligent control system, including several street lamp groups and a box-type transformer control cabinet, characterized in that: The remote street light group intelligent control system also includes: -Perception control layer, based on the deployment of street light groups and box-type transformer control cabinets; - Platform service layer, a cloud platform for data aggregation and analysis, equipment and user management of remote street light group intelligent control systems; -Network transport layer, used to establish communication between the perception control layer and the platform service layer to provide data transmission; -Terminal application layer, connected to at least one terminal device, communicates and exchanges data with the perception control layer; The box-type transformer control cabinet integrates an Internet of Things terminal for controlling each street light group, and the Internet of Things terminal integrates an information processing unit and a street light group switch control and adjustment module; The box-type transformer control cabinet comprises: Sensor modules provide environmental data and power supply data of street light groups; A controller, integrated in the information processing unit, performs data processing according to the data provided by the sensor module and / or the data obtained by communicating with the platform service layer, and outputs a control signal; An actuator, integrated in the switch control and adjustment module of the street lamp group, controls the working state of each street lamp in each street lamp group according to the output signal of the controller; The terminal device establishes communication with the perception control layer through the network transmission layer to remotely control the working status of each street lamp in the street lamp group.
2. The remote street lamp group intelligent control system according to claim 1 is characterized in that: The sensor module comprises: Illuminance sensor, to obtain illumination data of the area where the street light group is located; Optocoupler isolation module, to obtain the power supply data of the street lamp group; The positioning module obtains the location data of the area where the street light group is located.
3. The remote street lamp group intelligent control system according to claim 1 is characterized in that: The controller includes: a sensor information processing module, which communicates with the sensor module, receives data provided by the sensor module, and sends relevant instructions / data to the sensor module; The communication module communicates with the platform service layer through the network transmission layer, receives the data obtained through communication, and sends relevant instructions / data to the platform service layer; The processing module performs data processing and calculation to output a control signal.
4. The remote street lamp group intelligent control system according to claim 1 is characterized in that: The actuator includes: an AC contactor module, which provides an AC power supply and operates a power supply circuit switch of the street lamp; The control relay module receives the control signal output by the controller to control the working state of each street lamp in each street lamp group through the AC contactor module.
5. The remote street lamp group intelligent control system according to claim 3 is characterized in that: It also includes a storage module integrated in the information processing unit of the Internet of Things terminal, which is used to provide data storage for the processing module.
6. A remote street lamp group intelligent control method, characterized in that: The street lamp group intelligent control system according to any one of claims 1 to 5 comprises: The perception control layer establishes communication with the terminal application layer and the platform service layer through the network transmission layer; The controller executes a control process to obtain environmental data provided by the sensor module and power supply data of the street lamp group, wherein the environmental data includes illumination data and position data; The controller receives reference data associated with the power supply data and the environmental data configured by the terminal application layer through the network transmission layer, obtains the sunrise and sunset timetable and the meteorological real-time visibility data according to the reference data, performs switch judgment to generate an output signal containing the street lamp operation data, so that the actuator controls the working state of each street lamp in each street lamp group; The controller synchronizes the environmental data, power supply data, and the working status of each street lamp in the street lamp group to the platform service layer and the terminal application layer, so as to perform visual display at the terminal application layer according to the user operation.
7. The remote street lamp group intelligent control method according to claim 6, characterized in that: Also includes: The platform service layer receives the control instructions remotely sent by the terminal application layer, configures the switch control information according to the control instructions and sends it to the perception control layer; The controller adjusts the working state of the corresponding street lamp after receiving the switch control information.
8. The remote street lamp group intelligent control method according to claim 6, characterized in that: Before the switch is read, the following steps are also required: Acquire power supply reference data according to the reference data, wherein the power supply reference data includes a calibrated working voltage, a working current, an abnormal range value exceeding the deviation, and a judgment time; The controller performs fault interpretation on the power supply data provided by the sensor module according to the power supply reference data, and sends a fault alarm to the platform service layer and the terminal application layer when the power supply data provided by the sensor module exceeds an abnormal range.
9. The remote street lamp group intelligent control method according to claim 6, characterized in that: If the perception control layer receives a feedback signal that the communication with the terminal application layer / platform service layer through the network transmission layer has failed, the target sunrise and sunset times are calculated based on the location data to perform switch judgment to generate an output signal containing the street light operation data.
10. The remote street lamp group intelligent control method according to claim 9, characterized in that: The step of calculating the target sunrise and sunset time according to the location data includes: Calculate the Julian day based on the real time obtained from the location data and determine the Julian century number based on the preset benchmark; The Julian day of sunrise and the Julian day of sunset are calculated in turn according to the Julian century number using the longitude and latitude, and then the target sunrise and sunset times are obtained by reverse calculation.
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