CN110820615A - An intelligent snow and ice weather warning system and method applied to photovoltaic pavement sections - Google Patents

Abstract

The present disclosure relates to an intelligent snow and ice weather warning system and method applied to a photovoltaic pavement section. The system includes a weather collection module, a monitoring and early warning module, and the weather collection module and the monitoring and early warning module are monitored by the electric energy generated by the photovoltaic road surface. The photovoltaic power generation interface for power supply; the meteorological collection module is used to obtain the meteorological information of the photovoltaic road and the road state information; the monitoring and early warning module is used to obtain the snow and ice warning of the photovoltaic road according to the weather information and the road state information As a result, the ice and snow on the photovoltaic pavement is warned according to the ice and snow warning result. In the embodiment of the present disclosure, the ice and snow conditions on the photovoltaic road surface can be predicted, and the monitoring and early warning of the ice and snow on the photovoltaic road section can be realized; at the same time, the early warning system does not need to be connected to external power, and the early warning function can be realized by being self-sufficient, saving the cost of laying circuits, especially For remote roads, it can effectively improve economic efficiency.

Description

An intelligent snow and ice weather warning system and method applied to photovoltaic pavement sections

technical field

The present disclosure relates to the technical field of photovoltaic pavement ice and snow early warning, in particular to an intelligent snow and ice weather early warning system and method applied to photovoltaic pavement sections.

Background technique

In most parts of my country, the climate is cold in winter, and snow and ice disasters are frequent, and some road sections are icy and snowy. Ice and snow on the road will greatly reduce the anti-skid ability of the photovoltaic road surface, affect the vehicle's maneuverability, significantly reduce the driving stability, and cause frequent traffic accidents, which seriously affects the road safety.

SUMMARY OF THE INVENTION

In view of this, the present disclosure proposes an intelligent snow and ice weather warning system and method applied to photovoltaic pavement sections.

According to an aspect of the present disclosure, there is provided an intelligent snow and ice weather warning system applied to a photovoltaic pavement section, the system comprising: a weather collection module, a monitoring and early warning module, and electrical energy generated by the photovoltaic road surface for the weather collection module and the weather collection module. The monitoring and early warning module supplies power to the photovoltaic power generation interface; the meteorological collection module is used to obtain the meteorological information and road state information of the photovoltaic road surface; the monitoring and early warning module is used to obtain the said weather information and the road surface state information according to the The ice and snow warning result of the photovoltaic pavement, and the ice and snow on the photovoltaic pavement is warned according to the ice and snow warning result.

In a possible implementation manner, the system further includes: a heating module laid on the photovoltaic pavement, for heating the photovoltaic pavement by the thermal energy generated by the photovoltaic pavement; a remote control module for heating the photovoltaic pavement according to the The result of the ice and snow warning controls the working state of the heating module.

In a possible implementation manner, the weather collection module includes: a sensor component, used for collecting the weather information; an infrared emitting unit, used for obtaining the road state information; a first transmission unit, used for The weather information and the road state information are sent to the monitoring and early warning module; the sensor assembly, the infrared emitting unit and the first transmission unit are arranged in the outdoor protective case and the pole assembly.

In a possible implementation manner, the heating module is configured to heat the photovoltaic road surface through the electric energy transmitted by the photovoltaic power generation interface in response to a control instruction of the remote control module; the heating module is: Heat-generating carbon fibers laid on the lower layer of photovoltaic panels in the photovoltaic pavement.

In a possible implementation manner, the photovoltaic power generation interface includes: an auxiliary power interface for transmitting the electric energy generated by the photovoltaic road surface to the monitoring and early warning module, the weather acquisition module and the heating module; a voltage equalization unit for According to the disturbance observation rule, the power supply voltages of the monitoring and early warning module, the meteorological collection module and the heating module are balanced.

In a possible implementation manner, the system further includes: a pavement sensing module laid on the photovoltaic pavement; the pavement sensing module is configured to send the acquired surface temperature and pavement freezing point temperature of the photovoltaic pavement to the photovoltaic pavement. Monitoring and early warning module.

In a possible implementation manner, the monitoring and early warning module includes: a prediction unit for predicting the freezing time of the photovoltaic pavement according to the surface temperature of the photovoltaic pavement and the freezing point temperature of the pavement; a correction unit for using Correcting the freezing point temperature of the road surface according to the meteorological information and the road surface state information to obtain a corrected freezing point temperature; an early warning unit for when the surface temperature of the photovoltaic road surface exceeds the corrected freezing point temperature , an early warning prompt is issued.

In a possible implementation manner, the prediction unit is further configured to: perform ice condensation detection at a first time point, and record the surface temperature of the photovoltaic road surface as the first temperature detected corresponding to the first time point; At the second time point, the temperature in the freezing state is recorded as the freezing point temperature of the road surface, and the surface temperature of the photovoltaic road surface is recorded as the second temperature detected corresponding to the second time point; The time point, the first temperature, the second temperature, and the freezing point temperature of the road surface are used to predict the freezing time of the photovoltaic road surface.

According to another aspect of the present disclosure, an intelligent snow and ice weather warning method applied to a photovoltaic pavement section is provided, and applied to the above system, the method includes: acquiring the meteorological information and pavement state information of the photovoltaic pavement; The weather information and the road state information are used to obtain the ice and snow warning result of the photovoltaic road surface, and the ice and snow warning on the photovoltaic road surface is issued according to the ice and snow warning result.

In a possible implementation manner, the method further includes: controlling a heating module laid on the photovoltaic pavement to heat the photovoltaic pavement according to the ice and snow warning result.

According to another aspect of the present disclosure, an intelligent snow and ice weather warning device applied to a photovoltaic road section is provided, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to Perform the above method.

According to another aspect of the present disclosure, there is provided a non-volatile computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.

In the embodiment of the present disclosure, the ice and snow conditions on the photovoltaic road can be predicted, the monitoring and early warning of the ice and snow on the photovoltaic road section can be realized, and the ice and snow road can be heated to solve the slippery road caused by the ice and snow on the photovoltaic road; at the same time, the early warning system does not need to be connected to the outside. Electricity, self-sufficiency can realize early warning function, save the cost of laying circuits, especially for remote roads, which can effectively improve economic efficiency.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure, and together with the description, serve to explain the principles of the disclosure.

1 shows a structural diagram of an intelligent snow and ice weather warning system applied to a photovoltaic pavement section according to an embodiment of the present disclosure;

FIG. 2 shows a schematic diagram of a weather collection module according to an embodiment of the present disclosure;

FIG. 3 shows a schematic diagram of a road sensing module according to an embodiment of the present disclosure;

FIG. 4 shows a schematic diagram of a heating module according to an embodiment of the present disclosure;

FIG. 5 shows a flowchart of disturbance control according to an embodiment of the present disclosure;

FIG. 6 shows a flowchart of an intelligent snow and ice weather warning method applied to a photovoltaic pavement section according to an embodiment of the present disclosure;

FIG. 7 shows a block diagram of an apparatus for intelligent snow and ice weather warning for photovoltaic pavement sections according to an embodiment of the present disclosure.

Detailed ways

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures denote elements that have the same or similar functions. While various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following detailed description. It will be understood by those skilled in the art that the present disclosure may be practiced without certain specific details. In some instances, methods, means, components and circuits well known to those skilled in the art have not been described in detail so as not to obscure the subject matter of the present disclosure.

In most parts of my country, the climate is cold in winter, and snow and ice disasters are frequent, and some road sections are icy and snowy. Ice and snow on the road will greatly reduce the anti-skid ability of the photovoltaic road surface, affect the vehicle's maneuverability, significantly reduce the driving stability, and cause frequent traffic accidents, which seriously affects the road safety. However, in the related art, the methods for predicting and eliminating ice and snow have high energy consumption and low efficiency of melting snow and ice.

Therefore, the present disclosure provides an intelligent snow and ice weather warning scheme applied to a photovoltaic pavement section. The photovoltaic pavement converts solar energy into electric energy, and uses the electric energy to drive the daily operation of the early warning system, and the early warning system performs intelligent early warning on the ice and snow conditions on the photovoltaic pavement. , effectively solve the problem of ice and snow on photovoltaic pavement.

FIG. 1 shows a structural diagram of an intelligent snow and ice weather warning system applied to a photovoltaic pavement section according to an embodiment of the present disclosure. As shown in FIG. 1 , the system may include: a weather collection module 11, a monitoring and early warning module 12, and a photovoltaic power generation interface 13 for supplying power to the weather collection module and the monitoring and early warning module through the electric energy generated by the photovoltaic road surface; the weather collection module , used to obtain the weather information and road state information of the photovoltaic road surface; the monitoring and early warning module is used to obtain the ice and snow early warning results of the photovoltaic road surface according to the weather information and the road surface state information, and according to the ice and snow early warning results, the photovoltaic Ice and snow on the road is an early warning.

Among them, photovoltaic pavement sections can be laid on highways and other road sections. The top layer is a new type of semi-transparent material similar to frosted glass. The friction coefficient is higher than that of traditional asphalt pavement, which can ensure that the tires do not slip, and also have a high permeability. The light rate can allow sunlight to penetrate it, so that the solar cells below can convert light energy into electrical energy, and supply power to the early warning system through the photovoltaic power generation interface; it can also be connected to the power grid to transmit excess electrical energy to the grid.

In a possible implementation manner, the weather collection module includes: a sensor component, used for collecting the weather information; an infrared emitting unit, used for obtaining the road state information; a first transmission unit, used for The weather information and the road state information are sent to the monitoring and early warning module; the sensor assembly, the infrared emitting unit and the first transmission unit are arranged in the outdoor protective case and the pole assembly.

Exemplarily, FIG. 2 shows a schematic diagram of a weather collection module according to an embodiment of the present disclosure; as shown in FIG. 2 , the weather collection module may be a six-element weather station built beside a photovoltaic road, the weather station collects road area weather Data, equipped with outdoor protective chassis and pole components, used to protect the normal operation of the weather station, reduce the interference of the external environment, and install various required components (such as: sensor components, infrared emission units, etc.), so as to achieve The meteorological information of the photovoltaic road section, such as traffic visibility, atmospheric temperature, humidity, wind direction, wind speed, etc., is monitored in real time, and road status information is collected in real time.

In a possible implementation manner, the sensor assembly may include: fog visibility sensor, atmospheric temperature and humidity sensor, wind speed and direction sensor, etc.; exemplarily, the sensor assembly may adopt an integrated structure, and the collection includes: air temperature, relative humidity , wind direction, wind speed, air pressure, rain accumulation, visibility and other road environment meteorological data.

In a possible implementation manner, the infrared emitting unit may be a non-invasive laser sensor installed on a weather station for monitoring the condition of the photovoltaic pavement; the sensor may directly irradiate the infrared laser on the photovoltaic pavement through the infrared emitting device. On the surface, the energy (infrared spectrum) of the laser reflected from the surface of the object is received by the photodetector, and the reflection coefficient of the surface of the photovoltaic road section under different incident angles and observation angles is obtained by calculation, and then the different states of the photovoltaic road (such as dry and wet) are distinguished. , tide, ice, snow, frost, etc.), for example, the icing situation on the surface of the object can be inferred according to the reflection coefficient. When the incident angle is the same, the thicker the ice layer on the surface of the object, the more light scattered by the ice layer, and the more light it receives. The less the energy of the reflected light, the more accurate remote sensing detection of road surface temperature, water, ice and snow exists and the amount, so as to obtain the photovoltaic road surface temperature, humidity and water, ice and snow conditions, so as to realize the meteorological Real-time monitoring of the pavement status of the photovoltaic section by the station.

In a possible implementation manner, the first transmission unit may send data (eg, weather information, road state information) collected by each component in the weather station to the monitoring and early warning module in a wired or wireless manner.

In a possible implementation manner, the system further includes: a pavement sensing module laid on the photovoltaic pavement; the pavement sensing module is configured to send the acquired surface temperature and pavement freezing point temperature of the photovoltaic pavement to the photovoltaic pavement. Monitoring and early warning module.

FIG. 3 shows a schematic diagram of a road sensor module according to an embodiment of the present disclosure. As shown in FIG. 3 , the road sensor can be embedded and installed on the photovoltaic road surface by digging holes, which can distinguish water, ice, snow and frost. Different densities of various substances, and then analyze the road conditions. It can also collect road surface elements including: road surface temperature, degree of wetness, dew point temperature, water accumulation, ice accumulation, and snow accumulation.

Exemplarily, the road surface sensing module may include: a road surface temperature sensor, a liquid-solid phase change generator, and an ice condensation sensor; wherein the road surface temperature sensor is used to monitor the temperature of the photovoltaic road surface in real time, and the liquid-solid phase change generator is used to detect the temperature of the photovoltaic road surface. The temperature of road ice condensation, the ice condensation sensor is used to detect the ice condensation state in the process of road ice condensation detection in real time. The liquid-solid phase change generator can be activated at a preset time or at a preset temperature (eg 4°C) to detect the freezing temperature. As the temperature drops, the liquid-solid phase change generator enters the freezing state, and the temperature at this time is That is, the freezing point temperature of the road surface; the information such as the surface temperature of the photovoltaic road surface, the freezing point temperature of the road surface, and the time obtained by monitoring are sent to the monitoring and early warning module in real time to predict the freezing time of the road surface.

In a possible implementation manner, the monitoring and early warning module includes: a prediction unit for predicting the freezing time of the photovoltaic pavement according to the surface temperature of the photovoltaic pavement and the freezing point temperature of the pavement; a correction unit for using Correcting the freezing point temperature of the road surface according to the meteorological information and the road surface state information to obtain a corrected freezing point temperature; an early warning unit for when the surface temperature of the photovoltaic road surface exceeds the corrected freezing point temperature , an early warning prompt is issued.

The monitoring and early warning module may be set in the monitoring center, and may receive data collected by the weather station, for example, may receive data transmitted by the first transmission unit in the weather collection module by means of a serial port protocol. Then, the data is automatically analyzed and processed to predict the ice and snow conditions of the photovoltaic pavement in the future (eg, within 2 hours), so as to realize the monitoring and early warning of the ice and snow climate of the photovoltaic pavement.

In a possible implementation manner, the prediction unit is further configured to: perform ice condensation detection at a first time point, and record the surface temperature of the photovoltaic road surface as the first temperature detected corresponding to the first time point; At the second time point, the temperature in the freezing state is recorded as the freezing point temperature of the road surface, and the surface temperature of the photovoltaic road surface is recorded as the second temperature detected corresponding to the second time point; The time point, the first temperature, the second temperature, and the freezing point temperature of the road surface are used to predict the freezing time of the photovoltaic road surface.

Exemplarily, the prediction unit may acquire in real time information such as the surface temperature of the photovoltaic pavement, the freezing point temperature of the pavement, and the time obtained by monitoring the above-mentioned pavement sensing module, and at the first time point, control the liquid-solid phase transition generator to start to detect the freezing temperature. , and record the surface temperature of the photovoltaic road surface monitored by the road surface temperature sensor as the first temperature; during the ice condensation detection process, at the second time point, the ice condensation sensor detects that the liquid-solid phase transition generator is in the ice condensation state , the temperature of the liquid-solid phase change generator at this time is recorded as the freezing point temperature of the road surface, and the surface temperature of the photovoltaic road surface monitored by the road surface temperature sensor at this time is recorded as the second temperature. So far, the road freezing point temperature can be detected; at the same time, according to the linear relationship between the road surface temperature change and time, the first time point, the second time point, the first temperature, the second temperature and the road freezing point temperature can be obtained according to the above , obtain the time point when the road surface temperature reaches the road freezing point temperature, that is: the icing time of the photovoltaic road surface = (the road freezing point temperature - the first temperature) / (the second temperature - the first temperature) * (the second time point - first time). In this way, the real-time and accurate dynamic prediction of the time when ice condensation may occur on the photovoltaic road surface is realized, and the problem of road surface ice condensation prediction in the photovoltaic road section is effectively solved.

In order to further improve the accuracy of snow and ice prediction, the freezing point temperature of the road surface collected by the above-mentioned road sensor module can be further verified or corrected through the correction unit; Correct the freezing point temperature of the road surface according to the information that affects the freezing point temperature of the photovoltaic road surface. At the same time, the infrared emission unit of the weather station can be used to monitor whether the photovoltaic road is icy in real time, and compare the road surface temperature when the road is icy with the freezing point temperature of the road surface. slightly higher than the freezing point temperature of the road surface), it can be confirmed that the above freezing point temperature of the road surface is accurate. In this way, by verifying or correcting the freezing point temperature obtained by the road surface transmission sensor module, a more accurate freezing point temperature (ie, the corrected freezing point temperature) can be obtained, and then a more accurate and reliable snow and ice warning can be performed.

It should be noted that, in the embodiment of this formula, the photovoltaic road temperature actually collected by the road sensor is compared with the freezing point threshold preset by the early warning unit, and when the threshold is exceeded, an early warning is generated to illustrate the ice and snow alarm mechanism. One or more thresholds are set for factors such as wind speed and air pressure related to ice and snow, and the wind speed and air pressure of the photovoltaic road collected in real time are compared with the thresholds, and an early warning is generated when the thresholds are exceeded.

In a possible implementation manner, the system further includes: a heating module laid on the photovoltaic pavement, for heating the photovoltaic pavement by the thermal energy generated by the photovoltaic pavement; a remote control module for heating the photovoltaic pavement according to the The result of the ice and snow warning controls the working state of the heating module.

Among them, the remote control module can be set in the work area of the relevant managers, and the snow and ice warning results are reported to the remote control module in real time. Remove snow and ice to ensure driving safety.

In a possible implementation manner, the heating module is configured to heat the photovoltaic road surface through the electric energy transmitted by the photovoltaic power generation interface in response to a control instruction of the remote control module; the heating module is: Heat-generating carbon fibers laid on the lower layer of photovoltaic panels in the photovoltaic pavement.

FIG. 4 shows a schematic diagram of a heating module according to an embodiment of the present disclosure. As shown in FIG. 4 , the heating carbon fibers can be arranged in a continuous U-shaped ring, and the U-shaped noses are parallel to each other, so that the photovoltaic pavement can be evenly distributed as much as possible. heating, while saving the length of the heating wire laid. In this way, the heat energy generated by solar energy can be used to control the heating carbon fiber in advance according to the warning of the early warning system and through the remote control system to prevent icing.

In a possible implementation manner, the photovoltaic power generation interface includes: an auxiliary power interface for transmitting the electric energy generated by the photovoltaic road surface to the monitoring and early warning module, the weather acquisition module and the heating module; a voltage equalization unit for According to the disturbance observation rule, the power supply voltages of the monitoring and early warning module, the meteorological collection module and the heating module are balanced.

Considering that the photovoltaic pavement is not a standard constant current source or constant voltage source, the output current or voltage is nonlinear, so to ensure that the early warning system can obtain the maximum power supply of the photovoltaic pavement, the disturbance observation method needs to be adopted. FIG. 5 shows a flowchart of disturbance control according to an embodiment of the present disclosure. As shown in FIG. 5 , by increasing the disturbance, the size of the load is periodically changed to change the output voltage and power of the photovoltaic pavement. Compare the magnitudes of the two pairs of power and voltage before and after the change (i.e. U(k) and U(k-1), P(k) and P(k-1)), and judge that the output power is on the left side of the maximum power point at this time Still on the right side, determine whether the disturbance D(k+1) in the next cycle is increased (D(k)+ΔD) or decreased (D(k)-ΔD) to achieve the purpose of maximum power tracking. In this way, through the auxiliary power interface, the power generated by the photovoltaic pavement can be transmitted to the entire early warning system, and at the same time, the voltage of the entire early warning system can be balanced through the voltage equalization unit.

In a possible implementation manner, the early warning system can also collect system parameter data (such as information on parameters of each device in the system), and use the data as a system monitoring element to ensure the smooth and normal operation of the system; external data ( Such as: satellite cloud images, radar stations, meteorological big data (that is, weather forecast data in the traditional sense from the Meteorological Bureau), as reference elements for photovoltaic road ice and snow prediction; various data collected can be processed through the central server, and the The data before and after processing are stored in the database, and then information processing and analysis, information query and display, information transmission and monitoring, early warning and forecasting can be carried out according to actual needs.

It should be noted that although the above-mentioned embodiment is used as an example to introduce the intelligent snow and ice weather warning system applied to the photovoltaic pavement section as above, those skilled in the art can understand that the present disclosure should not be limited thereto. In fact, the user can flexibly set each implementation manner according to personal preferences and/or actual application scenarios, as long as it conforms to the technical solutions of the present disclosure.

In this way, the early warning system of the above-mentioned embodiments of the present disclosure can predict the ice and snow conditions on the photovoltaic road, realize the monitoring and early warning of the ice and snow on the photovoltaic road section, and then heat the ice and snow road to solve the problem of slippery road caused by the ice and snow on the photovoltaic road; at the same time, the early warning The system does not need to be connected to external power, and it is self-sufficient to realize the early warning function, saving the cost of laying circuits, especially for remote roads, which can effectively improve economic efficiency.

FIG. 6 shows a flowchart of an intelligent snow and ice weather warning method applied to a photovoltaic pavement section according to an embodiment of the present disclosure. When applied to the above system, as shown in FIG. 6 , the method may include:

Step 10: Obtain the meteorological information and road state information of the photovoltaic road surface;

Step 20: Obtain an ice and snow warning result on the photovoltaic road surface according to the weather information and the road surface state information, and perform an early warning on the ice and snow on the photovoltaic road surface according to the ice and snow warning result.

In a possible implementation manner, the method further includes: controlling a heating module laid on the photovoltaic pavement to heat the photovoltaic pavement according to the ice and snow warning result.

In a possible implementation manner, the method further includes: heating the photovoltaic road surface according to the result of the ice and snow warning, using the electric energy transmitted by the photovoltaic power generation interface.

In a possible implementation manner, the method further includes: performing equalization processing on the power supply voltage of the early warning system according to the disturbance observation rule.

In a possible implementation, the method further includes:

predicting the freezing time of the photovoltaic road surface according to the surface temperature of the photovoltaic road surface and the freezing point temperature of the road surface;

Correcting the freezing point temperature of the road surface according to the weather information and the road surface state information to obtain the corrected freezing point temperature;

When the surface temperature of the photovoltaic pavement exceeds the corrected freezing point temperature, a warning prompt is issued.

It should be noted that although the above-mentioned embodiment is used as an example to introduce the intelligent snow and ice weather warning method applied to the photovoltaic road section as above, those skilled in the art can understand that the present disclosure should not be limited thereto. In fact, the user can flexibly set each implementation manner according to personal preferences and/or actual application scenarios, as long as it conforms to the technical solutions of the present disclosure.

In this way, the early warning system of the above-mentioned embodiments of the present disclosure can predict the ice and snow conditions on the photovoltaic road, realize the monitoring and early warning of the ice and snow on the photovoltaic road section, and then heat the ice and snow road to solve the problem of slippery road caused by the ice and snow on the photovoltaic road; at the same time, the early warning The system does not need to be connected to external power, and it is self-sufficient to realize the early warning function, saving the cost of laying circuits, especially for remote roads, which can effectively improve economic efficiency.

FIG. 7 shows a block diagram of an apparatus 1900 for intelligent snow and ice weather warning for photovoltaic pavement sections according to an embodiment of the present disclosure. For example, the apparatus 1900 may be provided as a server. 7, apparatus 1900 includes processing component 1922, which further includes one or more processors, and a memory resource represented by memory 1932 for storing instructions executable by processing component 1922, such as application programs. An application program stored in memory 1932 may include one or more modules, each corresponding to a set of instructions. Additionally, the processing component 1922 is configured to execute instructions to perform the above-described methods.

The device 1900 may also include a power supply assembly 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input output (I/O) interface 1958. Device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server™, MacOS X™, Unix™, Linux™, FreeBSD™ or the like.

In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as memory 1932 comprising computer program instructions executable by processing component 1922 of apparatus 1900 to perform the above-described method.

The present disclosure may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the present disclosure.

A computer-readable storage medium may be a tangible device that can hold and store instructions for use by the instruction execution device. The computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM) or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory sticks, floppy disks, mechanically coded devices, such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above. Computer-readable storage media, as used herein, are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (eg, light pulses through fiber optic cables), or through electrical wires transmitted electrical signals.

The computer readable program instructions described herein may be downloaded to various computing/processing devices from a computer readable storage medium, or to an external computer or external storage device over a network such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer-readable program instructions from a network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for carrying out operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or instructions in one or more programming languages. Source or object code, written in any combination, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as the "C" language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through the Internet connect). In some embodiments, custom electronic circuits, such as programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), can be personalized by utilizing state information of computer readable program instructions. Computer readable program instructions are executed to implement various aspects of the present disclosure.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer or other programmable data processing apparatus to produce a machine that causes the instructions when executed by the processor of the computer or other programmable data processing apparatus , resulting in means for implementing the functions/acts specified in one or more blocks of the flowchart and/or block diagrams. These computer readable program instructions can also be stored in a computer readable storage medium, these instructions cause a computer, programmable data processing apparatus and/or other equipment to operate in a specific manner, so that the computer readable medium on which the instructions are stored includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.

Computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other equipment to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other equipment to produce a computer-implemented process , thereby causing instructions executing on a computer, other programmable data processing apparatus, or other device to implement the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more functions for implementing the specified logical function(s) executable instructions. In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

Various embodiments of the present disclosure have been described above, and the foregoing descriptions are exemplary, not exhaustive, and not limiting of the disclosed embodiments. Numerous modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. The utility model provides an intelligent snow and ice meteorological early warning system for photovoltaic road surface section which characterized in that, the system includes: the monitoring and early warning system comprises a meteorological acquisition module, a monitoring and early warning module and a photovoltaic power generation interface for supplying power to the meteorological acquisition module and the monitoring and early warning module through electric energy generated by a photovoltaic road surface;

the weather acquisition module is used for acquiring weather information and road surface state information of the photovoltaic road surface;

and the monitoring and early warning module is used for obtaining an ice and snow early warning result of the photovoltaic road surface according to the meteorological information and the road surface state information and early warning the ice and snow on the photovoltaic road surface according to the ice and snow early warning result.

2. The system of claim 1, further comprising:

the heating module is paved on the photovoltaic road surface and used for heating the photovoltaic road surface through the heat energy generated by the photovoltaic road surface;

and the remote control module is used for controlling the working state of the heating module according to the ice and snow early warning result.

3. The system of claim 1 or 2, wherein the weather collection module comprises:

the sensor assembly is used for acquiring the meteorological information;

the infrared transmitting unit is used for acquiring the road surface state information;

the first transmission unit is used for sending the meteorological information and the road surface state information to the monitoring and early warning module;

the sensor assembly, the infrared emission unit and the first transmission unit are arranged on the outdoor protective case and the upright rod assembly.

4. The system of claim 2, wherein the heating module is configured to heat the photovoltaic pavement through the electric energy transmitted through the photovoltaic power generation interface in response to a control instruction of the remote control module;

the heating module is heating carbon fibers laid on the lower layer of the photovoltaic panel in the photovoltaic pavement.

5. The system of claim 2, wherein the photovoltaic power generation interface comprises:

the auxiliary electric energy interface is used for transmitting electric energy generated by the photovoltaic pavement to the monitoring and early warning module, the meteorological collection module and the heating module;

and the voltage balancing unit is used for balancing the power supply voltages of the monitoring and early warning module, the meteorological acquisition module and the heating module according to the disturbance observation rule.

6. The system of claim 1, further comprising: the road surface sensing module is paved on a photovoltaic road surface;

and the pavement sensing module is used for sending the obtained surface temperature and pavement freezing point temperature of the photovoltaic pavement to the monitoring and early warning module.

7. The system of claim 6, wherein the monitoring and forewarning module comprises:

the prediction unit is used for predicting the icing time of the photovoltaic pavement according to the surface temperature of the photovoltaic pavement and the pavement freezing point temperature;

the correction unit is used for correcting the pavement freezing point temperature according to the meteorological information and the pavement state information to obtain a corrected freezing point temperature;

and the early warning unit is used for sending out early warning prompts when the surface temperature of the photovoltaic pavement exceeds the corrected freezing point temperature.

8. The system of claim 7, wherein the prediction unit is further configured to:

detecting ice condensation at a first time point, and recording the surface temperature of the photovoltaic road surface as a first temperature detected corresponding to the first time point; recording the temperature in the ice-freezing state as the freezing point temperature of the pavement at a second time point, and recording the surface temperature of the photovoltaic pavement as a second temperature detected corresponding to the second time point;

and predicting the icing time of the photovoltaic pavement according to the first time point, the second time point, the first temperature, the second temperature and the pavement freezing point temperature.

9. An intelligent ice and snow weather early warning method applied to a photovoltaic pavement section, which is applied to the system of any one of claims 1-8, and is characterized by comprising the following steps:

acquiring meteorological information and pavement state information of a photovoltaic pavement;

and obtaining an ice and snow early warning result of the photovoltaic road surface according to the meteorological information and the road surface state information, and early warning the ice and snow on the photovoltaic road surface according to the ice and snow early warning result.

10. The method of claim 9, further comprising:

and controlling a heating module paved on the photovoltaic road surface according to the ice and snow early warning result to heat the photovoltaic road surface.

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