CN110753097A - Data processing method, electronic device and computer readable storage medium - Google Patents
Data processing method, electronic device and computer readable storage medium Download PDFInfo
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- CN110753097A CN110753097A CN201910969325.3A CN201910969325A CN110753097A CN 110753097 A CN110753097 A CN 110753097A CN 201910969325 A CN201910969325 A CN 201910969325A CN 110753097 A CN110753097 A CN 110753097A
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Abstract
The application provides a data processing method based on wisdom street lamp, wisdom street lamp includes a plurality of sensors, and wherein, a plurality of sensors configuration are to gather different grade type environmental data, and the method includes: acquiring environmental data; performing edge calculation on the environment data; determining local application data according to the result of the edge calculation; controlling to realize the application function of the current intelligent street lamp according to the local application data; and/or determining external application data according to the result of the edge calculation, and sending the external application data to the external equipment so as to enable the external equipment to execute corresponding functions according to the external application data. The application also provides an Internet of things data processing method, an electronic product and a computer readable storage medium. Through the mode, the intelligent street lamp can collect relevant environment information such as people, vehicles, objects, environments and events all day long, edge computing and cloud computing are combined, more accurate application data of users are provided, and meanwhile data computing pressure of a server in the system is reduced.
Description
Technical Field
The present application relates to the field of internet of things technology, and in particular, to a data processing method, an electronic device, and a computer-readable storage medium.
Background
The internet of things is a network which is based on information carriers such as the internet, a telecommunication network, a mobile network and the like and enables all common physical objects which can be independently addressed to realize interconnection and intercommunication. It is a ubiquitous terminal device, comprising: the system comprises sensors, mobile terminals, industrial systems, building control systems and the like, and interconnection and intercommunication are realized through various forms of networks.
In the internet of things of cities, the smart street lamps are used as one part of the internet of things, so that the construction of the smart city is greatly influenced. However, the functions of the traditional intelligent street lamp generally include lighting, security monitoring, a signal base station, a charging station, environment monitoring, RFID asset management and the like, and the intelligent degree of a single function of the intelligent street lamp is low, and the functions are relatively independent; the intelligent degree of a single street lamp is low, and the application of all the street lamps is relatively independent; besides illumination, the user with other functions is not strong in touch, so that the data collected by the street lamp accessory sensor is simple to use.
The traditional wisdom street lamp's thing allies oneself with the attribute not high, and the coupling degree is low each other, underutilizes city street lamp system's high coverage advantage.
Disclosure of Invention
The application mainly aims to provide a data processing method, electronic equipment and a computer readable storage medium, and aims to improve and enrich the collected data types, increase the data cooperation utilization among urban street lamps and increase the interaction viscosity between a user and an intelligent road.
In order to achieve the above object, the present application provides a data processing method based on a smart street lamp, the smart street lamp including a plurality of sensors, wherein the plurality of sensors are configured to collect different types of environmental data, the method including: acquiring the environmental data; performing edge calculation on the environment data; determining local application data according to the result of the edge calculation; controlling to realize the application function of the intelligent street lamp according to the local application data; and/or determining external application data according to the result of the edge calculation, and sending the external application data to external equipment so as to enable the external equipment to execute corresponding functions according to the external application data.
Optionally, the environment data includes one or more of the following data: GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02.
Optionally, the edge calculation includes a first type of algorithm and a second type of algorithm, and the step of performing the edge calculation on the environment data includes: calculating the original data of the environment data according to a first type of algorithm to obtain local application data; and calculating the primary data of the environment data according to a second type of algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
Optionally, the raw data comprises a time tag and the location tag.
Optionally, the external device includes a second smart street lamp and a cloud server, and the step of sending the external application data to the external device to enable the external device to execute a corresponding function according to the external application data includes: sending the external application data to a second intelligent street lamp so that the second intelligent street lamp can realize corresponding functions according to the external application data; and sending the external application data to the cloud server so that the cloud server can realize corresponding functions according to the external application data.
The application also provides an internet of things data processing method, which is applied to an internet of things system, wherein the internet of things system comprises a cloud server, an application end and a plurality of intelligent street lamps, and the internet of things data processing method comprises the following steps: receiving external application data uploaded by the intelligent street lamps through the cloud server; receiving an application request of the application terminal; respectively processing the external application data and the local application data through the cloud server and/or the intelligent street lamp according to the application request to obtain preliminary application data; and sending the preliminary application data to the application end so that the application end can realize corresponding application functions according to the preliminary application data.
Optionally, the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
Optionally, the step of processing the local application data through the smart street lamp according to the application request to obtain preliminary application data includes: acquiring geographic information of the application terminal;
determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
The present application further provides an electronic device, the electronic device including: a processor; and the memory is connected with the processor and comprises a control instruction, and when the processor reads the control instruction, the electronic equipment is controlled to realize the data processing method.
The present application also provides a computer-readable storage medium having one or more programs executed by one or more processors to implement the above-described data processing method.
According to the data processing method, the electronic device and the computer-readable storage medium, the intelligent street lamp is provided with the sensors with various types, the sensors are configured to collect different types of environment data, and the environment data are acquired; performing edge calculation on the environment data; determining local application data and external application data according to the result of the edge calculation; controlling to realize the application function of the intelligent street lamp according to the local application data; and sending the external application data to external equipment so as to enable the external equipment to execute corresponding functions according to the external application data. Through the mode, the intelligent street lamp can collect relevant environmental information such as people, vehicles, objects, environments and events all day long, edge computing and cloud computing are combined, computing precision of edge data is improved, more accurate application data of users are provided, data computing pressure of a server in a system is reduced, and through matching with a cloud server and an application end, connection among all intelligent street lamps in a city is increased, the mass information collecting and distributing function of the intelligent street lamp is fully exerted, the intelligent street lamp serves for multiple industries and multiple departments, and the intelligent street lamp really becomes a key node and a key system of a smart city and a smart society.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Fig. 1 is a flowchart illustrating a data processing method based on an intelligent street lamp according to an embodiment of the present disclosure;
fig. 2 is an open intelligent system ecology based on intelligent street lamps according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a data processing method for the internet of things according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of an intelligent street lamp according to an embodiment of the present application;
FIG. 5 is a schematic diagram illustrating the structural components of an IOT system according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that in the description of the present invention, unless otherwise explicitly specified or limited, the term "storage medium" may be various media that can store a computer program, such as ROM, RAM, a magnetic or optical disk, or the like. The term "processor" may be a chip or a circuit having a data processing function, such as a CPLD (Complex Programmable Logic Device), an FPGA (Field-Programmable Gate Array), an MCU (micro Controller Unit), a PLC (Programmable Logic Controller), and a CPU (central processing Unit). The term "electronic device" may be any device having data processing and storage functions and may generally include fixed and mobile terminals. Fixed terminals such as desktop computers and the like. Mobile terminals such as mobile phones and PADs, etc. Furthermore, the technical features mentioned in the different embodiments of the invention described later can be combined with each other as long as they do not conflict with each other.
In the following, the present invention proposes some preferred embodiments to teach those skilled in the art to implement.
Fig. 1 is a flowchart of an embodiment of a data processing method provided in the present application. The updating method is applied to the intelligent street lamp, the intelligent street lamp can be communicated with any one or more other intelligent street lamps, the server and the mobile terminal, and it should be noted that, when the intelligent street lamp runs, each step can be performed sequentially according to the sequence in the flow chart, or a plurality of steps can be performed simultaneously according to the actual situation, which is not limited herein. The data processing method provided by the application comprises the following steps:
step S110, acquiring the environmental data;
step S120, performing edge calculation on the environment data;
step S130, determining local application data according to the result of the edge calculation;
step S140, controlling to realize the application function of the intelligent street lamp according to the local application data; and/or
Step S150, determining external application data according to the result of the edge calculation, and sending the external application data to external equipment so that the external equipment can execute corresponding functions according to the external application data.
Through the implementation mode, the intelligent street lamp can collect relevant environment information such as people, vehicles, objects, environments and events all day long, edge computing and cloud computing are combined, the computing precision of edge data is improved, more accurate application data of users are provided, meanwhile, the data computing pressure of a server in the system is reduced, in addition, through the cooperation with a cloud server and an application end, the connection among all intelligent street lamps in a city is increased, the mass information collecting and distributing function of the intelligent street lamp is fully exerted, the intelligent street lamp serves for multiple industries and multiple departments, and the intelligent street lamp really becomes a key node and a key system of a smart city and a smart society.
The above steps will be specifically described with reference to specific examples.
In step S110, the environmental data is acquired.
Specifically, the smart street lamp includes a plurality of sensors configured to collect different types of environmental data. The sensor is responsible for sensing various external information really, accurately and stably, and converting the external analog information into digital signals for output. In the present embodiment, various sensors with comprehensive types are configured on the basis of the intelligent street lamp body, for example, a GPS, a camera, a sound sensor, a light sensor, a vibration sensor, a temperature sensor, a humidity sensor, an air pressure sensor, and the like. It should be noted that, in areas such as cities and villages, the types of sensors configured for different intelligent street lamps can be configured according to actual needs.
The environmental data is information of objects perceivable around the intelligent street lamp. In the present embodiment, the sensible object is a target sensed by a sensor configured in the smart street lamp, for example, the sensible object includes surrounding people, vehicles, objects, environments, and events centered on the smart street lamp. For example, environmental data includes GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02, and the like.
The wisdom street lamp is according to the environmental data of the data acquisition frequency collection who predetermines. In the embodiment, the intelligent street lamp collects the environmental data in real time in a 24-hour all-weather manner. In other embodiments, the smart street lamp performs corresponding collection frequency according to different height perception objects, for example, the collection frequency corresponding to the temperature is 1 hour.
Through the implementation mode, the intelligent street lamp in the center of all-weather information such as people, vehicles, objects, environments, events and the like can acquire abundant environment data capable of being analyzed and utilized, and a data base is provided for providing abundant application.
In step S120, an edge calculation is performed on the environment data.
In consideration of the real-time requirements of mass data on the load and application of the transmission network, after acquiring the environmental data, each intelligent street lamp performs data processing on the environmental data as edge data processing equipment, so that data convenient to transmit in the network and data for specific application are provided. In this embodiment, the edge calculation of the intelligent street lamp performs data processing through two different types of algorithms, and the step S120 may include the following steps:
step S1201, calculating the original data of the environment data according to a first type of algorithm to obtain local application data;
step S1202, calculating the primary data of the environment data according to a second type algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
Specifically, the raw data is various sensing data of an initial sampling frequency and an initial bit length acquired by a sensor, the raw data is high in density, long in bit number, large in occupied space and rich in contained information, so that a large amount of network resources are occupied when the raw data is directly transmitted on a network, and meanwhile, the data processing pressure of a server or other data processing equipment is increased. Directly outputting data used by the application function of the current intelligent street lamp through a first type of algorithm, namely local application data, such as temperature information of an area where the current intelligent street lamp is located; the original data are processed through a second algorithm, for example, preprocessing, dimensionality reduction, feature extraction and the like, the occupied space of the data processed through the second algorithm is greatly reduced, network transmission is facilitated, the cloud server can acquire more accurate data, the cloud data processing efficiency is improved, and meanwhile, after the data are acquired by other intelligent street lamps or application terminals, data processing of specific purposes can be rapidly carried out, and the application is carried out.
In this embodiment, the raw data includes a time tag and the location tag. Through carrying out time mark and position mark with raw data for wisdom street lamp can provide more accurate environmental data, provides the application experience of application end.
In step S130, local application data is determined according to the result of the edge calculation.
Specifically, the local application data is data used by an application configured to obtain the environmental data, such as lighting control, security monitoring, environmental monitoring, and the like of the intelligent street lamp.
In step S140, the application function of the smart street lamp is controlled and implemented according to the local application data.
In particular, the application functions of the intelligent street lamp configuration include an interior-facing application and an exterior-facing user application. The application facing the interior is the application of automatic processing control of the intelligent street lamp, such as security protection, illumination and the like. As shown in fig. 2, in the present embodiment, data of the intelligent street lamp is open to individuals, institutions of higher learning, research institutions, and enterprises; different departments and different specialties can carry out data mining, algorithm development and application development according to own requirements and based on corresponding data. The application function can be oriented to different users such as individuals, enterprises, public institutions, schools, hospitals, governments, public security, traffic and the like. The intelligent street lamp is used by an application provider, an application function provider, a technology development provider, a user and the like to form a complete open type intelligent system ecology based on the intelligent street lamp.
In the embodiment, the intelligent street lamp processes the acquired environmental data according to the request control of the application facing the interior to obtain corresponding local application data; and controlling the internally used application to execute the corresponding application function according to the local application data. For example, in the aspect of illumination control, the sensor acquires environmental data such as sound data, illumination data, infrared data and vibration data, local application data related to control illumination is obtained through an intelligent algorithm, illumination application controls the intelligent street lamp to be turned on or turned off according to the local illumination application data, and compared with the traditional street lamp energy saving mode that a time control mode and a light control mode are adopted, the intelligent street lamp illumination control mode provided by the application can greatly save electric quantity. In terms of speed measurement, the sensor can provide continuous speed measurement service for vehicles based on LORA (NB-IoT) street lamps.
In other embodiments, the intelligent street lamp controls the processing of the acquired environmental data according to the received request sent by the external user to obtain corresponding local application data; and controlling the application of the external user to execute the corresponding application function according to the local application data.
In step S150, determining external application data according to the result of the edge calculation, and sending the external application data to an external device, so that the external device executes a corresponding function according to the external application data.
The external application data is data used by other devices in communication connection with the current intelligent street lamp, and can be intermediate data used by the other devices, for example, intermediate data for the cloud server to perform overall calculation again, or intermediate data used by other intelligent street lamps. Each smart street lamp is configured with a communication module, for example, WIFI, bluetooth, 5G, NFC, RFID, ZigBee, NB-IoT, etc., through which the smart street lamp transmits and receives external application data.
Specifically, the external device includes second wisdom street lamp and high in the clouds server. In this embodiment, the step S150 of sending the external application data to an external device to execute a corresponding function according to the external application data includes:
step S1501, the external application data are sent to a second intelligent street lamp, so that the second intelligent street lamp can realize corresponding functions according to the external application data;
step S1502, sending the external application data to the cloud server, so that the cloud server can implement a corresponding function according to the external application data.
Specifically, the current smart street lamp performs algorithm operations such as preprocessing, dimension reduction, feature extraction and the like on the acquired original data according to a processing rule to obtain external application data. In an optional implementation manner, the external application data includes data for the cloud server to transfer, distribute, calculate and store the data, and the cloud performs processing on the post-data processed by the second type of algorithm and transmitted by the intelligent street lamps in various places through a data analysis and mining algorithm to perform city intelligent control. In an optional embodiment, the external application data further includes data for use by a second intelligent street lamp, wherein the number of the second intelligent street lamp may be one or more, and the specific number is not fixed.
Through the implementation mode, the intelligent street lamp can collect relevant environment information such as people, vehicles, objects, environments and events all day long, edge computing and cloud computing are combined, the computing precision of edge data is improved, more accurate application data of users are provided, meanwhile, the data computing pressure of a server in the system is reduced, in addition, through the cooperation with a cloud server and an application end, the connection among all intelligent street lamps in a city is increased, the mass information collecting and distributing function of the intelligent street lamp is fully exerted, the intelligent street lamp serves for multiple industries and multiple departments, and the intelligent street lamp really becomes a key node and a key system of a smart city and a smart society.
Fig. 2 is a flowchart of an embodiment of a data processing method for the internet of things according to an embodiment of the present application. The updating method is applied to an Internet of things system, the Internet of things system comprises a cloud server, an application end and a smart street lamp, and the cloud server, the application end and the smart street lamp are in communication connection with each other and can send and receive data information mutually. It should be noted that, when operating, each step may be performed sequentially according to an order in the flowchart, or multiple steps may be performed simultaneously according to an actual situation, which is not limited herein. The data processing method provided by the application comprises the following steps:
step S310, receiving external application data uploaded by the intelligent street lamps through the cloud server;
step S320, receiving an application request of the application end;
step S330, the external application data and the local application data are processed respectively through the cloud server and/or the intelligent street lamp according to the application request to obtain preliminary application data;
step S340, sending the preliminary application data to the application end, so that the application end can implement a corresponding application function according to the preliminary application data.
By the implementation mode, all-weather environment data acquired by the intelligent street lamp is combined with edge computing and cloud computing, all-weather data of a single street lamp and all-weather data of a full-network street lamp are combined, potential value according to the data is explored, and an upstream and downstream merchant ecological system for research and development and application is established based on a sensor system and a street lamp data system of the intelligent street lamp; the intelligent street lamp really becomes a key node and a key system of an intelligent city and an intelligent society.
The above steps will be specifically described with reference to specific examples.
In step S310, external application data uploaded by the smart street lamps is received by the cloud server.
Specifically, including a large amount of wisdom street lamps in the thing networking system, the wisdom street lamp is through uploading the outside application data after will handling to high in the clouds server, supplies high in the clouds server to carry out big data calculation. In the embodiment, the cloud server is responsible for transferring, distributing, calculating and storing mass data, so that the effects of preventing network data from being paralyzed due to overload, reasonably distributing computing power, safely managing data, facilitating user access and the like can be achieved. It should be noted that the relevant content of the external application data in the present embodiment is specifically described in the foregoing technical solutions, and therefore, the detailed description thereof is omitted here.
In step S320, an application request of the application side is received.
Specifically, the application terminal may be a smart street lamp in an internet of things system, and may also be other terminals, for example, a mobile terminal, a wearable device, a PC terminal, and the like. The application request is that the application end receives specific requests, such as a weather forecast request, a real-time altitude measurement request, a positioning request and the like, through a user interface provided by the internet of things and corresponding to an external application function. In an optional implementation manner, the application request may be received through the smart street lamp, or may be received through the cloud server, which is not limited specifically.
In step S330, the external application data and the local application data are processed by the cloud server and/or the smart street lamp according to the application request to obtain preliminary application data.
Specifically, the application request may be a user request directly received by the cloud server, or may be a request sent by the user to the cloud server according to the user request after the user communicates with the intelligent street lamp. Or the request can be received through the cloud server and the intelligent street lamp in public, and corresponding data calculation can be respectively carried out according to the processing logic. The data calculation in the cloud server is that the cloud server processes external application data uploaded by the intelligent street lamp to obtain preliminary application data; and the data generated in the intelligent street lamp is calculated into primary application data by processing the intelligent street lamp according to the local application data. The preliminary application data refers to data for direct or indirect application by the application terminal.
Further, the step of processing the local application data through the intelligent street lamp according to the application request to obtain preliminary application data in step S330 includes:
step S3301, obtaining geographic information of the application terminal;
step S3302, determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and S3303, processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
Through the implementation, the intelligent street lamp which is most closely related to the application end is used as the edge calculation main body, so that the application end can quickly and accurately acquire the data processing result which is more in line with the actual situation, for example, when weather forecast service is performed, the edge calculation is performed through cloud calculation in combination with one or more intelligent street lamps adjacent to the current position of the user, and the weather forecast result is more accurate.
In step S340, the preliminary application data is sent to the application end, so that the application end can implement a corresponding application function according to the preliminary application data.
Specifically, the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
The above-described data control method for the internet of things is described by the following specific example.
In the weather forecast service, the cloud server and the intelligent street lamp obtain weather-related preliminary application data through calculating environmental data such as temperature, humidity, air pressure and GPS and edge, and send the preliminary application data to the mobile terminal requesting weather conditions so as to realize the weather forecast basic service.
Real-time marine dial measurement service, the wisdom lamp pole is to the preliminary application data transmission to the application end of atmospheric pressure sensor and the data processing's of GPS sensor the obtaining, and the application end obtains final application data relevant with the height above sea according to this preliminary application data and the atmospheric pressure sensor of this application end and the data of GPS sensor and combination operation, can reduce the real-time marine dial calculation error of user end by the order of magnitude ground, provides the precision below the meter level, real-time, remove marine dial measurement service.
Sign analysis service, the preliminary application data that the wisdom street lamp processing environmental temperature data that combines the position that the application end is located obtained, human body surface temperature data and the preliminary application data of receiving that the application end detected according to it carry out analysis individual physique and sign.
The street lamp is intelligent and energy-saving, and the specific content is as described above, so the details are not repeated here.
The location base station serves, and the wisdom street lamp is set to the location base station, can provide high accuracy low-cost location service.
By the implementation mode, the intelligent street lamp really realizes the function intellectualization and ecological application, fully exerts the mass information collecting and distributing function of the intelligent street lamp, and serves multiple industries and departments; the intelligent street lamp really becomes a key node and a key system of an intelligent city and an intelligent society.
Fig. 4 is a schematic structural component diagram of an intelligent street lamp 400 according to an embodiment of the present disclosure, where the intelligent street lamp includes a sensor group, a data acquisition platform, an edge calculation module, and an application function module. The sensor group includes a plurality of sensors, wherein the plurality of sensors are configured to acquire different types of environmental data.
A sensor group 410 for acquiring the environmental data;
an edge calculation module 420, configured to perform edge calculation on the environment data;
a data acquisition module 430, configured to determine local application data according to a result of the edge calculation;
the application function module 440 is configured to control and implement an application function of the smart street lamp according to the local application data;
the application function module 440 is further configured to determine external application data according to the result of the edge calculation, and send the external application data to an external device, so that the external device executes a corresponding function according to the external application data.
Optionally, the environment data includes one or more of the following data: GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02.
Optionally, the edge calculation includes a first type of algorithm and a second type of algorithm, and the step of performing the edge calculation on the environment data includes: calculating the original data of the environment data according to a first type of algorithm to obtain local application data; and calculating the primary data of the environment data according to a second type of algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
Optionally, the raw data comprises a time tag and the location tag.
Optionally, the external device includes a second smart street lamp and a cloud server, and the step of sending the external application data to the external device to enable the external device to execute a corresponding function according to the external application data includes: sending the external application data to a second intelligent street lamp so that the second intelligent street lamp can realize corresponding functions according to the external application data; and sending the external application data to the cloud server so that the cloud server can realize corresponding functions according to the external application data.
Fig. 5 is a schematic structural diagram of an internet of things system 500 according to an embodiment of the present disclosure, where the internet of things system 500 includes a smart street lamp 510, a cloud server 520, and an application 530.
The cloud server 520 receives external application data uploaded by the intelligent street lamps 510;
the cloud server 520 and the smart street lamp 510 receive an application request of the application terminal 530;
the cloud server 520 and/or the smart street lamp 510 respectively process the external application data and the local application data according to the application request to obtain preliminary application data;
the cloud server 520 and/or the smart street lamp 510 send the preliminary application data to the application terminal 530, so that the application terminal 530 can perform an application function corresponding to the preliminary application data.
Optionally, the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
Optionally, the step of processing the local application data through the smart street lamp according to the application request to obtain preliminary application data includes: acquiring geographic information of the application terminal;
determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
Fig. 5 is a schematic structural diagram of an electronic device 500 according to an embodiment of the present application, where the electronic device 500 includes: a processor 510; a memory 530 coupled to the processor 510, the memory 530 comprising control instructions.
In an alternative embodiment, when the processor 510 reads the control instruction, the electronic device 500 is controlled to implement the following steps:
acquiring the environmental data, wherein the environmental data is obtained by a plurality of sensors of the smart street lamp configured to acquire different types of environmental data; performing edge calculation on the environment data; determining local application data according to the result of the edge calculation; controlling to realize the application function of the intelligent street lamp according to the local application data; and/or determining external application data according to the result of the edge calculation, and sending the external application data to external equipment so as to enable the external equipment to execute corresponding functions according to the external application data.
Optionally, the environment data includes one or more of the following data: GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02.
Optionally, the edge calculation includes a first type of algorithm and a second type of algorithm, and the step of performing the edge calculation on the environment data includes: calculating the original data of the environment data according to a first type of algorithm to obtain local application data; and calculating the primary data of the environment data according to a second type of algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
Optionally, the raw data comprises a time tag and the location tag.
Optionally, the external device includes a second smart street lamp and a cloud server, and the step of sending the external application data to the external device to enable the external device to execute a corresponding function according to the external application data includes: sending the external application data to a second intelligent street lamp so that the second intelligent street lamp can realize corresponding functions according to the external application data; and sending the external application data to the cloud server so that the cloud server can realize corresponding functions according to the external application data.
In another alternative embodiment, when the processor 510 reads the control instruction, the electronic device 500 is controlled to implement the following steps:
receiving external application data uploaded by the intelligent street lamps through the cloud server; receiving an application request of the application terminal; respectively processing the external application data and the local application data through the cloud server and/or the intelligent street lamp according to the application request to obtain preliminary application data; and sending the preliminary application data to the application end so that the application end can realize corresponding application functions according to the preliminary application data.
Optionally, the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
Optionally, the step of processing the local application data through the smart street lamp according to the application request to obtain preliminary application data includes: acquiring geographic information of the application terminal;
determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
Through the electronic equipment, the intelligent street lamp can collect relevant environmental information such as people, vehicles, objects, environments and events all day long, edge calculation and cloud calculation are combined, the calculation accuracy of edge data is improved, more accurate application data of users are provided, meanwhile, the data calculation pressure of a server in the system is reduced, in addition, through the cooperation with a cloud server and an application end, the connection among all intelligent street lamps in a city is increased, the mass information collecting and distributing function of the intelligent street lamp is fully exerted, the intelligent street lamp serves for multiple industries and multiple departments, and the intelligent street lamp really becomes a key node and a key system of a smart city and a smart society.
Embodiments of the application also provide a computer readable storage medium having one or more programs, the one or more programs being executed by one or more processors.
In one embodiment, one or more programs are processed to perform the steps of:
acquiring the environmental data, wherein the environmental data is obtained by a plurality of sensors of the smart street lamp configured to acquire different types of environmental data; performing edge calculation on the environment data; determining local application data according to the result of the edge calculation; controlling to realize the application function of the intelligent street lamp according to the local application data; and/or determining external application data according to the result of the edge calculation, and sending the external application data to external equipment so as to enable the external equipment to execute corresponding functions according to the external application data.
Optionally, the environment data includes one or more of the following data: GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02.
Optionally, the edge calculation includes a first type of algorithm and a second type of algorithm, and the step of performing the edge calculation on the environment data includes: calculating the original data of the environment data according to a first type of algorithm to obtain local application data; and calculating the primary data of the environment data according to a second type of algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
Optionally, the raw data comprises a time tag and the location tag.
Optionally, the external device includes a second smart street lamp and a cloud server, and the step of sending the external application data to the external device to enable the external device to execute a corresponding function according to the external application data includes: sending the external application data to a second intelligent street lamp so that the second intelligent street lamp can realize corresponding functions according to the external application data; and sending the external application data to the cloud server so that the cloud server can realize corresponding functions according to the external application data.
In another alternative embodiment, one or more programs are executed by a processor to perform the steps of:
receiving external application data uploaded by the intelligent street lamps through the cloud server; receiving an application request of the application terminal; respectively processing the external application data and the local application data through the cloud server and/or the intelligent street lamp according to the application request to obtain preliminary application data; and sending the preliminary application data to the application end so that the application end can realize corresponding application functions according to the preliminary application data.
Optionally, the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
Optionally, the step of processing the local application data through the smart street lamp according to the application request to obtain preliminary application data includes: acquiring geographic information of the application terminal;
determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
Through the computer readable storage medium, the intelligent street lamp can collect relevant environment information such as people, vehicles, objects, environments, events and the like all weather, edge computing and cloud computing are combined, computing precision of edge data is improved, more accurate application data of users are provided, data computing pressure of a server in a system is reduced, and through cooperation with a cloud server and an application end, connection among all intelligent street lamps in a city is increased, the mass information collecting and distributing function of the intelligent street lamp is fully exerted, the intelligent street lamp serves multiple industries and multiple departments, and the intelligent street lamp really becomes a key node and a key system of the intelligent city and the intelligent society.
The embodiment of the application also provides a computer readable storage medium. The computer-readable storage medium herein stores one or more programs. Among other things, computer-readable storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
The corresponding technical features in the above embodiments may be used with each other without causing contradiction in the schemes or without being implementable.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data processing method based on a smart street lamp, wherein the smart street lamp comprises a plurality of sensors, wherein the plurality of sensors are configured to collect different types of environmental data, and the method comprises the following steps:
acquiring the environmental data;
performing edge calculation on the environment data;
determining local application data according to the result of the edge calculation; controlling to realize the application function of the intelligent street lamp according to the local application data; and/or
And determining external application data according to the result of the edge calculation, and sending the external application data to external equipment so as to enable the external equipment to execute corresponding functions according to the external application data.
2. The data processing method of claim 1, wherein the environmental data comprises one or more of the following: GPS, camera, sound, light, infrared, vibration, temperature, humidity, air pressure, wind direction, wind speed, rain, radiation, PM2.5, CO, NO, N02.
3. The data processing method of claim 1, wherein the edge calculation includes a first class of algorithms and a second class of algorithms, and the step of performing the edge calculation on the environment data includes:
calculating the original data of the environment data according to a first type of algorithm to obtain local application data;
and calculating the primary data of the environment data according to a second type of algorithm to obtain dimension-reduced secondary data and/or characteristic data so as to obtain external application data.
4. The data processing method of claim 3, wherein the raw data comprises a time tag and the location tag.
5. The data processing method of claim 1, wherein the external device comprises a second smart street lamp and a cloud server, and the step of sending the external application data to the external device to perform a corresponding function according to the external application data comprises:
sending the external application data to a second intelligent street lamp so that the second intelligent street lamp can realize corresponding functions according to the external application data;
and sending the external application data to the cloud server so that the cloud server can realize corresponding functions according to the external application data.
6. An Internet of things data processing method is applied to an Internet of things system, the Internet of things system comprises a cloud server, an application end and a plurality of intelligent street lamps according to any one of claims 1 to 5, and the Internet of things data processing method comprises the following steps:
receiving external application data uploaded by the intelligent street lamps through the cloud server;
receiving an application request of the application terminal;
respectively processing the external application data and the local application data through the cloud server and/or the intelligent street lamp according to the application request to obtain preliminary application data;
and sending the preliminary application data to the application end so that the application end can realize corresponding application functions according to the preliminary application data.
7. The data processing method of the internet of things as claimed in claim 6, wherein the application function includes at least one of: the system comprises a weather forecast service, a real-time dial measurement service, a sign analysis service, a street lamp intelligent energy-saving service, a positioning base station service, a vehicle continuous speed measurement service based on an LORA street lamp, a radio frequency identification module RFID-based service for realizing bus positioning, atmospheric refractive index structural constant measurement, high-precision atmospheric visibility measurement and human-vehicle monitoring service.
8. The data processing method for the internet of things according to claim 6, wherein the step of processing the local application data through the intelligent street lamp according to the application request to obtain preliminary application data comprises:
acquiring geographic information of the application terminal;
determining a target intelligent street lamp corresponding to the geographic information in the plurality of intelligent street lamps according to the geographic information;
and processing the local application data through the target intelligent street lamp according to the application request to obtain preliminary application data.
9. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory connected to the processor, the memory containing control instructions, when the processor reads the control instructions, the electronic device is controlled to implement the data processing method of any one of claims 1 to 8.
10. A computer-readable storage medium, having one or more programs stored thereon, which when executed by one or more processors, perform the data processing method of any one of claims 1 to 8.
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