Intelligent ice and snow weather early warning system and method applied to photovoltaic pavement section
阅读说明：本技术 一种应用于光伏路面段的智能化冰雪气象预警系统及方法 (Intelligent ice and snow weather early warning system and method applied to photovoltaic pavement section ) 是由 江睿南 张文武 朱宝林 谷云辉 惠嘉 刘鹏 边莉 王珊珊 王曈 曹贤明 王飞 于 2019-11-18 设计创作，主要内容包括：本公开涉及一种应用于光伏路面段的智能化冰雪气象预警系统及方法,所述系统包括气象采集模块、监测预警模块及通过光伏路面产生的电能对所述气象采集模块和所述监测预警模块进行供电的光伏发电接口；气象采集模块,用于获取光伏路面的气象信息及路面状态信息；监测预警模块,用于根据所述气象信息和所述路面状态信息,得到所述光伏路面的冰雪预警结果,根据所述冰雪预警结果对光伏路面的冰雪进行预警。本公开实施例中,能够对光伏路面的冰雪情况进行预测,实现对光伏路段冰雪的监测预警；同时,预警系统无需接入外部电力,自给自足即可实现预警功能,节约铺设电路的成本,尤其针对偏远道路,可有效提高经济效率。(The system comprises a weather acquisition module, a monitoring and early warning module and a photovoltaic power generation interface for supplying power to the weather acquisition module and the monitoring and early warning module through electric energy generated by a photovoltaic pavement; 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. In the embodiment of the disclosure, the ice and snow condition of the photovoltaic road surface can be predicted, and the monitoring and early warning of the ice and snow of the photovoltaic road section can be realized; meanwhile, the early warning system does not need to be connected with external power, the early warning function can be realized by self-sufficiency, the cost of laying a circuit is saved, and particularly, the economic efficiency can be effectively improved for a remote road.)
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.
Technical Field
The utility model relates to a photovoltaic road surface ice and snow early warning technical field especially relates to an intelligent ice and snow meteorological early warning system and method for photovoltaic road surface section.
Background
In most areas of China, the climate is cold in winter, the weather of ice and snow disasters is frequent, and the conditions of icing, snow accumulation and the like of partial road sections occur occasionally. The anti-skid capacity of the photovoltaic pavement is greatly reduced due to the ice and snow on the pavement, the maneuvering performance of vehicles is affected, the driving stability is obviously reduced, traffic accidents are frequent, and the driving safety of the pavement is seriously affected.
Disclosure of Invention
In view of the above, the present disclosure provides an intelligent ice and snow weather early warning system and method applied to a photovoltaic pavement section.
According to an aspect of the present disclosure, an intelligent ice and snow weather early warning system applied to a photovoltaic pavement section is provided, the system comprising: 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.
In one possible implementation, the system further includes: 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.
In one possible implementation, the weather collection module includes: 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.
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 heating carbon fibers laid on the lower layer of the photovoltaic panel in the photovoltaic pavement.
In one possible implementation, the photovoltaic power generation interface includes: 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.
In one possible implementation, the system further includes: 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.
In one possible implementation, the monitoring and early warning module includes: 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.
In a possible implementation manner, 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.
According to another aspect of the present disclosure, an intelligent ice and snow weather early warning method applied to a photovoltaic pavement section is provided, and applied to the above system, the method includes: 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.
In one possible implementation, the method further includes: 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.
According to another aspect of this disclosure, a weather early warning device is iced snow to intelligence that is applied to photovoltaic road surface section is provided, includes: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory 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.
According to the embodiment of the disclosure, the ice and snow condition of the photovoltaic road surface can be predicted, the monitoring and early warning of the ice and snow on the photovoltaic road section can be realized, the ice and snow road surface can be heated, and the problem of wet and slippery road surface caused by the ice and snow on the photovoltaic road surface can be solved; meanwhile, the early warning system does not need to be connected with external power, the early warning function can be realized by self-sufficiency, the cost of laying a circuit is saved, and particularly, the economic efficiency can be effectively improved for a remote road.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 shows a block diagram of an intelligent ice and snow 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 surface sensing module according to an embodiment of the present disclosure;
FIG. 4 shows a schematic view of a heating module according to an embodiment of the present disclosure;
FIG. 5 illustrates a flow diagram of disturbance control according to an embodiment of the present disclosure;
FIG. 6 shows a flow chart of an intelligent ice and snow 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 ice and snow weather warning of a photovoltaic pavement segment according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically 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.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
In most areas of China, the climate is cold in winter, the weather of ice and snow disasters is frequent, and the conditions of icing, snow accumulation and the like of partial road sections occur occasionally. The anti-skid capacity of the photovoltaic pavement is greatly reduced due to the ice and snow on the pavement, the maneuvering performance of vehicles is affected, the driving stability is obviously reduced, traffic accidents are frequent, and the driving safety of the pavement is seriously affected. However, in the related art, the methods for predicting and removing the snow and ice consume a large amount of energy and have low efficiency in melting snow and ice.
Therefore, this disclosure provides an intelligent ice and snow meteorological early warning scheme for photovoltaic road surface section, photovoltaic road surface is through turning into the electric energy with solar energy, utilizes the electric energy to drive the daily operation of early warning system, and early warning system carries out intelligent early warning to the ice and snow condition on photovoltaic road surface, effectively solves the ice and snow problem on photovoltaic road surface.
Fig. 1 shows a structural diagram of an intelligent ice and snow 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: the system comprises a
The photovoltaic pavement section can be laid on highway sections and the like, the uppermost layer of the photovoltaic pavement section is a semitransparent novel material similar to ground glass, the friction coefficient of the photovoltaic pavement section is higher than that of a traditional asphalt pavement, the tire can be prevented from slipping, meanwhile, the photovoltaic pavement section has higher light transmittance, sunlight can penetrate through the photovoltaic pavement section, the solar cell below the photovoltaic pavement section converts light energy into electric energy, and the power is supplied to the early warning system through the photovoltaic power generation interface; and redundant electric energy can be transmitted to the power grid by accessing a power supply grid.
In one possible implementation, the weather collection module includes: 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.
Illustratively, 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 collecting module can be a six-element weather station built beside the photovoltaic road surface, the weather station collects road area weather data, and is provided with an outdoor protective case and a vertical rod assembly for protecting the normal operation of the weather station, reducing the interference of the external environment, and installing various required components (such as a sensor assembly, an infrared transmitting unit and the like), thereby realizing the real-time monitoring of the weather information of the photovoltaic road section, such as traffic visibility, atmospheric temperature, humidity, wind direction, wind speed and the like, and collecting the road surface state information in real time.
In one possible implementation, the sensor assembly may include: fog visibility sensor, atmospheric temperature and humidity sensor, wind speed and direction sensor, etc.; illustratively, the sensor assembly may be of an integrated structure, the collecting comprising: air temperature, relative humidity, wind direction, wind speed, air pressure, rain accumulation, visibility and other meteorological data of the road and region environment.
In one possible implementation, the infrared emission unit may be a non-invasive laser sensor installed on a meteorological station for monitoring the photovoltaic pavement condition; the sensor can directly irradiate infrared laser on the surface of a photovoltaic road surface through infrared emission equipment, receive the energy (infrared spectrum) of the laser reflected by the surface of an object through a photoelectric detector, calculate and obtain the reflection coefficients of the surface of a photovoltaic road section under different incident angles and observation angles, and further distinguish different states (such as dry, wet, damp, ice, snow, frost and the like) of the photovoltaic road, for example: the icing condition of the surface of the object can be deduced according to the reflection coefficient, when the incident angles are the same, the thicker the ice layer on the surface of the object is, the more the light scattered by the ice layer is, and the less the energy of the received reflected light is, so that the existence and the quantity of the surface temperature, the water, the ice and the snow of the road can be accurately detected in a remote sensing manner, the surface temperature, the humidity and the conditions of water accumulation, ice accumulation and snow accumulation of the photovoltaic road are obtained, and the real-time monitoring of the road surface state of the photovoltaic road section by the meteorological station is realized.
In a possible implementation manner, the first transmission unit may send data (e.g., weather information, road surface condition information) collected by each component in the weather station to the monitoring and early warning module in a wired or wireless manner.
In one possible implementation, the system further includes: 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.
Fig. 3 is a schematic diagram of a pavement sensing module according to an embodiment of the disclosure, and as shown in fig. 3, a pavement sensor can be embedded and installed on a photovoltaic pavement surface in a pit digging manner, so that different densities of various substances such as water, ice, snow and frost can be distinguished, and then the road condition can be analyzed. The collecting can also comprise: road surface elements such as road surface temperature, wet and slippery degree, dew point temperature, water accumulation, ice accumulation and snow accumulation.
For example, the road surface sensing module may include: a road surface temperature sensor, a liquid-solid phase change generator and an ice condensation sensor; the road surface temperature sensor is used for monitoring the temperature of a photovoltaic road surface in real time, the liquid-solid phase change generator is used for detecting the ice condensation temperature of the road surface, and the ice condensation sensor is used for detecting the ice condensation state of the road surface in the ice condensation detection process in real time. The liquid-solid phase change generator can be started for freezing temperature detection at a preset time or a preset temperature (such as 4 ℃), and enters a freezing state along with the reduction of the temperature, wherein the temperature at the moment is the pavement freezing point temperature; and transmitting the information such as the surface temperature of the photovoltaic pavement, the pavement freezing point temperature, the time and the like obtained by monitoring to a monitoring and early warning module in real time, and further predicting the icing time of the pavement.
In one possible implementation, the monitoring and early warning module includes: 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.
Wherein, control early warning module can set up in the surveillance center, can receive the data that the weather station was gathered, for example, can receive the data that first transmission unit passes through the mode transmission of serial port protocol in the weather collection module. And then, the data is automatically analyzed and processed, the ice and snow condition of the photovoltaic road surface in the future (such as within 2 hours) is predicted, and the monitoring and early warning of the ice and snow climate of the photovoltaic road surface are realized.
In a possible implementation manner, 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.
Illustratively, the prediction unit may acquire information, such as a surface temperature of the photovoltaic road surface, a freezing point temperature of the road surface, time, and the like, monitored by the road surface sensing module in real time, control the liquid-solid phase change generator to start to detect a freezing temperature at a first time point, and record the surface temperature of the photovoltaic road surface monitored by the road surface temperature sensor at the time as a first temperature; in the process of ice condensation detection, at a second time point, the ice condensation sensor detects that the liquid-solid phase change generator is in an ice condensation state, the temperature of the liquid-solid phase change generator at the moment is recorded as the ice point temperature of the road surface, and meanwhile, the surface temperature of the photovoltaic road surface monitored by the road surface temperature sensor at the moment is recorded as the second temperature. Therefore, the pavement freezing point temperature can be detected; meanwhile, according to the linear relation between the road surface temperature change and the time, the time point when the road surface temperature reaches the road surface freezing point temperature can be obtained according to the obtained first time point, second time point, first temperature, second temperature and road surface freezing point temperature, namely: the freezing time of the photovoltaic pavement is (freezing temperature of the pavement-first temperature)/(second temperature-first temperature) × (second time point-first time point). Therefore, the method can be used for accurately and dynamically predicting the time of ice condensation possibly occurring on the photovoltaic road surface in real time, and effectively solving the problem of road surface ice condensation prediction of the photovoltaic road section.
In order to further improve the accuracy of ice and snow prediction, the pavement freezing point temperature acquired by the pavement sensing module can be further verified or corrected through a correction unit; illustratively, the ice point temperature of the photovoltaic pavement can be corrected according to the information which influences the ice point temperature of the photovoltaic pavement, such as air pressure, wind speed and humidity, collected by each sensor in the meteorological station. Meanwhile, whether the photovoltaic road is frozen or not can be monitored in real time by using the infrared transmitting unit in the meteorological station, the road surface temperature during the freezing of the road surface is compared with the road surface freezing point temperature, and if the difference is within a certain preset threshold value (for example, the road surface temperature is slightly higher than the road surface freezing point temperature), the accuracy of the road surface freezing point temperature can be verified. Like this, pass the freezing point temperature that road surface sensing module acquireed through the road surface and carry out the certificate or revise, can obtain more accurate freezing point temperature (the freezing point temperature after rectifying promptly), and then carry out more accurate reliable ice and snow early warning.
It should be noted that, in the formula embodiment, the photovoltaic road surface temperature actually acquired by the road surface sensor is compared with the freezing point threshold value preset by the early warning unit, and when the photovoltaic road surface temperature exceeds the threshold value, an early warning exemplary explanation is given on an ice and snow warning mechanism.
In one possible implementation, the system further includes: 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.
Wherein, remote control module can set up at relevant administrator's work area, and the remote control module is reported to in real time to ice and snow early warning result, and the administrator can carry out remote control to heating module through wireless network signal to through the absorptive heat energy in release photovoltaic road surface, remove snow and melt ice, 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 heating carbon fibers laid on the lower layer of the photovoltaic panel in the photovoltaic pavement.
Fig. 4 shows a schematic view of a heating module according to an embodiment of the disclosure, and as shown in fig. 4, the heating carbon fibers may be arranged in a continuous U-shaped ring shape, and the U-shaped noses are parallel to each other, so that the photovoltaic pavement can be uniformly heated as much as possible, and the length of the laid heating wire is saved. Therefore, the heating carbon fibers can be controlled to be heated in advance through the remote control system according to the early warning of the early warning system by utilizing the heat energy generated by the solar energy, so that the icing is prevented; and the frozen photovoltaic pavement can be added, so that automatic and rapid snow and ice removal is realized.
In one possible implementation, the photovoltaic power generation interface includes: 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.
Fig. 5 shows a flow chart of disturbance control according to an embodiment of the present disclosure, as shown in fig. 5, the magnitude of a load is periodically changed by increasing disturbance, so that the output voltage and power of the photovoltaic road surface are changed, the magnitudes of two pairs of values of power and voltage (i.e., U (k) and U (k-1), P (k) and P (k-1)) before and after the change are compared, and it is determined whether the output power is located on the left side or the right side of the maximum power point at this time, and it is determined whether the disturbance D (k +1) in the next period is increased (D (k) + △ D) or decreased (D (k) - △ D) to achieve the purpose of maximum power tracking.
In a possible implementation manner, the early warning system can also acquire system parameter data (such as information of parameters of each device in the system), and the data is used as a system monitoring element to ensure the stable and normal operation of the system; external data (such as satellite cloud pictures, radar stations and weather big data (namely weather forecast data in the traditional meaning from a weather bureau)) are used as reference elements for predicting the snow and ice on the photovoltaic pavement; the collected data can be processed by the central server, and the data before and after processing can be stored in the database, so that the work of information processing and analysis, information inquiry and display, information transmission and monitoring, early warning and forecasting and the like can be carried out according to actual needs.
It should be noted that, although the above embodiments are described as examples of the intelligent ice and snow weather warning system applied to the photovoltaic pavement section, those skilled in the art can understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
Thus, the early warning system of the embodiment of the disclosure can predict the ice and snow condition of the photovoltaic road surface, realize monitoring and early warning of the ice and snow on the photovoltaic road section, further heat the ice and snow road surface, and solve the problem of road surface wet and slippery caused by the ice and snow on the photovoltaic road surface; meanwhile, the early warning system does not need to be connected with external power, the early warning function can be realized by self-sufficiency, the cost of laying a circuit is saved, and particularly, the economic efficiency can be effectively improved for a remote road.
Fig. 6 shows a flowchart of an intelligent ice and snow weather warning method applied to a photovoltaic pavement section, which is applied to the above system, and as shown in fig. 6, the method may include:
and 20, 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.
In one possible implementation, the method further includes: 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.
In one possible implementation, the method further includes: and heating the photovoltaic pavement through the electric energy transmitted by the photovoltaic power generation interface according to the ice and snow early warning result.
In one possible implementation, the method further includes: and according to the disturbance observation rule, carrying out equalization processing on the power supply voltage of the early warning system.
In one possible implementation, the method further includes:
predicting the icing time of the photovoltaic pavement according to the surface temperature of the photovoltaic pavement and the pavement freezing point temperature;
correcting the pavement freezing point temperature according to the meteorological information and the pavement state information to obtain a corrected freezing point temperature;
and when the surface temperature of the photovoltaic pavement exceeds the corrected freezing point temperature, sending out an early warning prompt.
It should be noted that, although the above embodiments are described as examples of the intelligent ice and snow weather warning method applied to the photovoltaic pavement section, those skilled in the art can understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
Thus, the early warning system of the embodiment of the disclosure can predict the ice and snow condition of the photovoltaic road surface, realize monitoring and early warning of the ice and snow on the photovoltaic road section, further heat the ice and snow road surface, and solve the problem of road surface wet and slippery caused by the ice and snow on the photovoltaic road surface; meanwhile, the early warning system does not need to be connected with external power, the early warning function can be realized by self-sufficiency, the cost of laying a circuit is saved, and particularly, the economic efficiency can be effectively improved for a remote road.
Fig. 7 shows a block diagram of an
The
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via 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. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming 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. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various 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, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
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 executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown 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 will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many 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 is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
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