Agglomerate fog detection system and method based on induction lamp, medium and product

Abstract

The invention discloses an agglomerate fog detection system and method based on induction lamps, a medium and a product, and belongs to the technical field of agglomerate fog detection.The agglomerate fog detection system comprises a plurality of induction lamp devices, a control gateway and an upper computer, and each induction lamp device comprises a dust fog detection unit, a temperature and humidity detection unit and an edge calculation unit; the dust fog detection unit detects whether tiny particles of dust or fog exist at the current position to obtain dust fog data; the temperature and humidity detection unit detects temperature and humidity data in a preset range; the edge calculation unit judges the dust fog state according to the dust fog data and the temperature and humidity data; the control gateway is used for judging whether the position of the induction lamp device with the dust fog state being fog and a preset time period reach preset conditions or not, and if yes, agglomerate fog early warning information is generated and sent to the upper computer for visual display. According to the method, the accuracy of agglomerate fog identification can be improved, agglomerate fog prediction in an agglomerate fog-prone area is realized, meanwhile, the detection cost is reduced, and the detection efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of group fog detection, and particularly relates to a group fog detection system, method, medium and product based on induction lights. Background Art

[0002] Group fog is a special kind of fog, which is classified as "radiation fog" in meteorology. Group fog is a fog that appears in a local range of dozens to hundreds of meters in a large fog, with higher density and lower visibility, affected by the local microclimate environment. The formation of group fog is mainly due to the cooling of the ground radiation, which makes the air close to the ground cool, the saturated specific humidity decreases, and water vapor condenses. The formation of group fog requires two main conditions: one is sufficient water vapor in the lower layer and high air humidity, and the other is a large temperature difference between day and night and small wind. Group fog is closely related to the local microclimate environment. It is not easy to appear when the weather is fine. Group fog usually forms in a windless environment at night or in the early morning. Therefore, it is easier to form on the highway surface where the temperature is higher during the day and the temperature difference between day and night is larger. Pollutant particles emitted near the highway are also one of the conditions for the formation of group fog, such as straw burning in autumn, industrial dust pollution, and vehicle exhaust emissions. The characteristic of group fog is that the visibility outside the group fog is good, while the visibility inside suddenly drops to a very low level, only a dozen meters or even a few meters.

[0003] Due to the great difficulty in predicting and forecasting group fog, with strong regional occurrence, it is difficult for vehicles to obtain prior notice or warning in advance, resulting in a relatively high probability of traffic accidents. Therefore, based on the above deficiencies, how to provide a technical solution to achieve the detection and forecasting of group fog in group fog-prone areas has become an urgent problem to be solved. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, medium and product for detecting group fog, so as to solve the problems in the prior art that it is difficult to predict and forecast group fog, with strong regional occurrence, and it is difficult for vehicles to obtain prior notice or warning in advance.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions:

[0006] In the first aspect, the present invention provides a group fog detection system based on induction lights, including a plurality of induction light devices, a control gateway and a host computer. The induction light device includes a dust and fog detection unit, a temperature and humidity detection unit and an edge computing unit. The dust and fog detection unit and the temperature and humidity detection unit are both communicatively connected to the edge computing unit, the edge computing unit is communicatively connected to the control gateway, and the control gateway is communicatively connected to the host computer.

[0007] The dust and fog detection unit is used to detect in real time whether there are dust or fog microparticles at the current location based on the scattering effect of dust or fog microparticles on light, obtain dust and fog data, and upload the dust and fog data to the edge computing unit;

[0008] The temperature and humidity detection unit is used to detect the temperature and humidity data at the current location and upload the temperature and humidity data to the edge computing unit;

[0009] The edge computing unit is used to judge the dust and fog state according to the dust and fog data as well as the temperature and humidity data. The dust and fog state includes dust raising or fog, and upload the dust and fog state to the control gateway;

[0010] The control gateway is used to count the positions and preset time periods of the induction lamp devices with the dust and fog state of fog, judge whether the positions and preset time periods of the induction lamp devices with the dust and fog state of fog reach the preset conditions. If so, generate a warning message for dense fog, determine the position, range and moving trend of the dense fog according to the positions and preset time periods of the induction lamp devices with the dust and fog state of fog, and send the warning message for dense fog, the position, range and moving trend of the dense fog to the host computer;

[0011] The host computer is used to visually display the warning message for dense fog, the position, range and moving trend of the dense fog.

[0012] In a possible design, before judging the dust and fog state according to the dust and fog data as well as the temperature and humidity data, the edge computing unit is further used for:

[0013] Average and denoise multiple dust and fog data to obtain the visibility value.

[0014] In a possible design, when the visibility value gradually decreases, the humidity data is higher than the preset humidity threshold, and the temperature is lower than the preset temperature threshold, the edge computing unit determines that the dust and fog state is fog;

[0015] When the visibility value gradually decreases, the humidity data is lower than the preset humidity threshold, and the temperature is higher than the preset temperature threshold, the edge computing unit determines that the dust and fog state is dust raising.

[0016] In a possible design, the multiple induction lamp devices are installed on both sides of the road, arranged evenly at a specific interval, installed on the left and right sides of the road respectively, and distributed in a matrix. The preset conditions at least include:

[0017] Within the preset time period, there are a preset number of adjacent induction lamp devices with the dust and fog state of fog longitudinally, and at the same time, the number of columns of adjacent induction lamp devices with the dust and fog state of fog horizontally is greater than the preset column number value;

[0018] Within the preset time period, the proportion of the induction lamp devices with the dust and fog state of fog to all induction lamp devices is greater than the preset threshold.

[0019] In a possible design, multiple induction lamp devices are installed on both sides of the road, dividing the road into a forward road and a reverse road. The multiple induction lamp devices are evenly arranged at specific intervals and installed on the right side of the forward road, the left side of the forward road, the right side of the reverse road, and the left side of the reverse road. Moreover, the induction lamp devices on the right side of the forward road and the induction lamp devices on the left side of the forward road are axisymmetric with respect to the center line of the forward road, and the induction lamp devices on the right side of the reverse road and the induction lamp devices on the left side of the reverse road are axisymmetric with respect to the center line of the reverse road. At the same time, the induction lamp devices in the same horizontal direction have the same installation position longitudinally, forming a continuous straight line sequence. An installation sequence is set for the multiple induction lamp devices installed on the right and left sides of the forward road along the forward direction of the forward road, and the installation sequences are all {1, 2, 3,..., n}, where n is the number of induction lamp devices longitudinally; an installation sequence is set for the multiple induction lamp devices installed on the right and left sides of the reverse road along the reverse direction of the reverse road, and the installation sequences are all {1, 2, 3,..., n}, where n is the number of induction lamp devices longitudinally.

[0020] In a possible design, the judgment rules for adjacent positions in multiple consecutive adjacent induction lamp devices are as follows: Horizontally, the induction lamp devices with the same installation serial number are determined to be induction lamp devices in adjacent positions; Vertically, the induction lamp devices installed on the same side of the road with an installation serial number difference equal to a preset difference are determined to be induction lamp devices in adjacent positions; Diagonally, the induction lamp devices installed on both sides of the road with an installation serial number difference equal to a preset difference are determined to be induction lamp devices in adjacent positions.

[0021] In a possible design, the preset conditions also include: within a preset time period, when the dust and fog states of three adjacent induction lamp devices appear longitudinally, it is determined to be fog, and at the same time, the number of columns of adjacent induction lamp devices with a dust and fog state of fog horizontally is not less than the first preset value; within a preset time period, when the dust and fog states of two adjacent induction lamp devices appear longitudinally, it is determined to be fog, and at the same time, the number of columns of adjacent induction lamp devices with a dust and fog state of fog horizontally is not less than the second preset value; within a preset time period, when the dust and fog states of five adjacent induction lamp devices appear longitudinally, it is determined to be fog, and at the same time, the number of columns of adjacent induction lamp devices with a dust and fog state of fog horizontally is not less than the third preset value; within a preset time period, when the dust and fog states of four adjacent induction lamp devices appear longitudinally, it is determined to be fog; within a preset time period, when the dust and fog states of more than five induction lamp devices that have not been determined to be fog appear within a short time, their dust and fog states are determined to be fog. Among them, when the number of adjacent induction lamp devices with a dust and fog state determined to be fog is less than the fourth preset value, the generation of the warning information for cluster fog is cancelled.

[0022] In a possible design, the induction lamp device further includes a GPS positioning unit, which is used to determine the position information of the induction lamp device by using satellite signals and upload the position information to the control gateway.

[0023] In a possible design, the induction lamp device further includes a solar power supply unit and a wireless communication unit. The wireless communication unit is communicatively connected to the control gateway.

[0024] The solar power supply unit is used to convert solar energy into electric energy to provide working power for the dust and fog detection unit, the temperature and humidity detection unit, the edge computing unit, and the wireless communication unit.

[0025] The wireless communication unit is used to realize wireless communication and data transmission between the induction lamp device and the control gateway.

[0026] In a second aspect, the present invention provides a method for detecting group fog based on induction lamps, including:

[0027] Obtain the dust and fog data of multiple induction lamp devices and the temperature and humidity data corresponding to the time period of the dust and fog data. The dust and fog data is data for detecting whether there are dust or fog microparticles at the current location based on the scattering effect of dust or fog microparticles on light. Preprocess the dust and fog data to obtain a visibility value.

[0028] Based on the visibility value, perform fog level calibration. When the fog level is greater than a preset level, generate a first warning message.

[0029] Judge the dust and fog state according to the visibility value and the temperature and humidity data. The dust and fog state includes dust or fog.

[0030] Statistically analyze the positions of the induction lamp devices with the dust and fog state being fog and a preset time period. Judge whether the positions of the induction lamp devices with the dust and fog state being fog and the preset time period reach a preset condition. If so, generate a group fog warning message, determine the position, range, and movement trend of the group fog according to the positions of the induction lamp devices with the dust and fog state being fog and the preset time period, and perform visual display.

[0031] In a possible design, obtaining the dust and fog data of multiple induction lamp devices within a preset time period and preprocessing the dust and fog data to obtain a visibility value includes:

[0032] Obtain the dust and fog data of multiple induction lamp devices within a preset time period. The dust and fog data is data for detecting whether there are dust or fog microparticles in a set space based on the scattering effect of dust or fog microparticles on light.

[0033] Perform averaging processing and denoising processing on multiple dust and fog data to obtain a visibility value.

[0034] In a possible design, determining the dust and fog state according to the visibility value and temperature and humidity data includes:

[0035] When the visibility value gradually decreases, the humidity data is higher than the preset humidity threshold, and the temperature is lower than the preset temperature threshold, it is determined that the dust and fog state is fog;

[0036] When the visibility value gradually decreases, the humidity data is lower than the preset humidity threshold, and the temperature is higher than the preset temperature threshold, it is determined that the dust and fog state is dust raising.

[0037] In a third aspect, the present invention provides a computer-readable storage medium, on which instructions are stored. When the instructions run on a computer, they execute the fog detection method based on induction lights as described in any one of the above.

[0038] In a fourth aspect, the present invention provides a computer program product containing instructions. When the instructions run on a computer, the computer is made to execute the fog detection method based on induction lights as described in any one of the above.

[0039] The beneficial effects of the present invention are as follows:

[0040] The present invention discloses a group fog detection system, method, medium and product based on induction lights, including a plurality of induction light devices, a control gateway and a host computer. The induction light device includes a dust and fog detection unit, a temperature and humidity detection unit and an edge computing unit. The dust and fog detection unit and the temperature and humidity detection unit are both communicatively connected to the edge computing unit, and the edge computing unit is communicatively connected to the control gateway, and the control gateway is communicatively connected to the host computer. The dust and fog detection unit is used to detect in real time whether there are dust or fog microparticles at the current location based on the scattering effect of light by the microparticles of dust or fog, obtain dust and fog data, and upload the dust and fog data to the edge computing unit; the temperature and humidity detection unit is used to detect the temperature and humidity data at the current location and upload the temperature and humidity data to the edge computing unit; the edge computing unit is used to judge the dust and fog state according to the dust and fog data and the temperature and humidity data, and the dust and fog state includes dust or fog, and upload the dust and fog state to the control gateway; the control gateway is used to count the positions and preset time periods of the induction light devices with the dust and fog state being fog, and judge whether the positions and preset time periods of the induction light devices with the dust and fog state being fog reach preset conditions. If so, generate a group fog warning message, determine the position, range and movement trend of the group fog according to the positions and preset time periods of the induction light devices with the dust and fog state being fog, and send the group fog warning message, the position, range and movement trend of the group fog to the host computer; the host computer is used to visually display the group fog warning message, the position, range and movement trend of the group fog. By using the induction light device to detect the dust, fog, temperature and humidity in the surrounding environment, judge whether it is a group fog based on the dust and fog state, temperature and humidity information, generate a group fog warning message if it is a group fog, and visually display the position, range and movement trend of the group fog, the accuracy of group fog recognition is improved, and the prediction and forecasting of group fog in areas prone to group fog are realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a block diagram of a group fog detection system based on induction lights provided in the first aspect of this embodiment;

[0042] Figure 2 It is a flowchart of a group fog detection method provided in the second aspect of this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and the description of the embodiments or the prior art. Obviously, the following description of the structures of the accompanying drawings is only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation to the present invention.

[0044] It should be understood that although terms such as first and second may be used herein to describe various objects, these objects should not be limited by these terms. These terms are only used to distinguish one object from another. For example, the first object can be called the second object, and similarly, the second object can be called the first object, without departing from the scope of the exemplary embodiments of the present invention.

[0045] Embodiment:

[0046] As Figure 1 shown, in the first aspect of this embodiment, a group fog detection system based on induction lights is provided, including a plurality of induction light devices, a control gateway, and a host computer. The induction light device includes a dust and fog detection unit, a temperature and humidity detection unit, and an edge computing unit. The dust and fog detection unit and the temperature and humidity detection unit are both communicatively connected to the edge computing unit, and the edge computing unit is communicatively connected to the control gateway, and the control gateway is communicatively connected to the host computer. The dust and fog detection unit is used to detect in real time whether there are dust or fog microparticles at the current location based on the scattering effect of dust or fog microparticles on light, obtain dust and fog data, and upload the dust and fog data to the edge computing unit; the temperature and humidity detection unit is used to detect the temperature and humidity data at the current location and upload the temperature and humidity data to the edge computing unit; the edge computing unit is used to judge the dust and fog state according to the dust and fog data and the temperature and humidity data. The dust and fog state includes dust or fog, and upload the dust and fog state to the control gateway; the control gateway is used to count the positions of the induction light devices with the dust and fog state of fog and a preset time period, and judge whether the positions of the induction light devices with the dust and fog state of fog and the preset time period reach a preset condition. If so, generate a group fog warning message, determine the position, range, and movement trend of the group fog according to the positions of the induction light devices with the dust and fog state of fog and the preset time period, and send the group fog warning message, the position, range, and movement trend of the group fog to the host computer; the host computer is used to visually display the group fog warning message, the position, range, and movement trend of the group fog.

[0047] Specifically, the scattering effect of dust or fog microparticles on light is a prior art, and the detection steps are not elaborated one by one in this embodiment. The preset time period is 5 minutes.

[0048] Furthermore, based on the reported data of the induction lamp devices in multiple time periods, by statistically analyzing the reported data according to time, the moving trajectory and trend of the dense fog can be obtained.

[0049] In a possible design, multiple induction lamp devices are installed on both sides of the road, dividing the road into a forward road and a reverse road. The multiple induction lamp devices are evenly arranged at a specific interval and installed on the right side of the forward road, the left side of the forward road, the right side of the reverse road, and the left side of the reverse road. Moreover, the induction lamp devices on the right side of the forward road and the induction lamp devices on the left side of the forward road are axisymmetric with respect to the center line of the forward road, and the induction lamp devices on the right side of the reverse road and the induction lamp devices on the left side of the reverse road are axisymmetric with respect to the center line of the reverse road. At the same time, the induction lamp devices in the same horizontal direction have the same installation position longitudinally, forming a continuous straight line sequence. An installation sequence is set for the multiple induction lamp devices installed on the right side and the left side of the forward road along the forward direction of the forward road, and the installation sequence is {1, 2, 3,..., n}, where n is the number of induction lamp devices longitudinally; an installation sequence is set for the multiple induction lamp devices installed on the right side and the left side of the reverse road along the reverse direction of the reverse road, and the installation sequence is {1, 2, 3,..., n}, where n is the number of induction lamp devices longitudinally.

[0050] According to the actual road conditions, the installation positions of the induction lamp devices include, but are not limited to, single row, double row, and four rows. When the position of the induction lamp device in the dust and fog state of fog and the preset time period reach the preset conditions, the control gateway generates a dense fog warning message, where the preset conditions include, but are not limited to, the following situations:

[0051] 1) Within the preset time period, if the dust and fog states of three adjacent induction lamp devices are determined to be fog longitudinally, and the number of columns horizontally is not less than 2;

[0052] 2) Within the preset time period, if the dust and fog states of two adjacent induction lamp devices are determined to be fog longitudinally, and the number of columns horizontally is not less than 3;

[0053] 3) Within the preset time period, if the dust and fog states of five adjacent induction lamp devices are determined to be fog longitudinally, and the number of columns horizontally is not less than 1;

[0054] 4) Within the preset time period, if the dust and fog states of four adjacent induction lamp devices are determined to be fog longitudinally;

[0055] 5) Within the preset time period, the ratio of the induction lamp devices with the dust and fog state determined to be fog to all the induction lamp devices is greater than the preset threshold;

[0056] 6) Within the preset time period, the dust and fog states of more than five induction lamp devices that have not had the dust and fog state determined to be fog are determined to be fog in a short time.

[0057] Among them, when the number of adjacent induction lamp devices whose dust and fog status is judged as fog is less than 2, the generation of the warning information for cluster fog is cancelled.

[0058] In a possible design, the preset threshold is 40%.

[0059] Specifically, the judgment rules for adjacent positions in a continuous plurality of adjacent induction lamp devices are as follows: horizontally, the induction lamp devices with the same installation serial number are judged as the induction lamp devices at adjacent positions; vertically, the induction lamp devices installed on the same side of the road and with the difference of the installation serial number of ±1 are judged as the induction lamp devices at adjacent positions; diagonally, the induction lamp devices installed on both sides of the road and with the difference of the installation serial number of ±1 are judged as the induction lamp devices at adjacent positions.

[0060] In a possible design, before judging the dust and fog status according to the dust and fog data and the temperature and humidity data, the edge computing unit is further configured to perform averaging processing and denoising processing on a plurality of dust and fog data to obtain a visibility value.

[0061] Specifically, the dust and fog detection unit detects the dust and fog data at the current position multiple times, performs denoising processing on the multiple dust and fog data, and performs averaging processing on the denoised dust and fog data to obtain a relatively stable value, which is the visibility value. Among them, the denoising processing can adopt denoising techniques such as Fourier transform or wavelet transform to reduce the influence of environmental factors and other external conditions on the dust and fog data.

[0062] In a possible design, when the visibility value gradually decreases, the humidity data is higher than the preset temperature threshold, and the temperature is lower than the preset temperature threshold, the edge computing unit determines that the dust and fog status is fog; when the visibility value gradually decreases, the humidity data is lower than the preset humidity threshold, and the temperature is higher than the preset temperature threshold, the edge computing unit determines that the dust and fog status is dust storm.

[0063] In a possible design, the induction lamp device further includes a GPS positioning unit, and the GPS positioning unit is configured to use satellite signals to determine the position information of the induction lamp device and upload the position information to the control gateway.

[0064] In this embodiment, the GPS positioning unit in the induction lamp device determines the position information of the induction lamp device according to satellite signals, so that after the warning information for cluster fog is generated, the warning information for cluster fog is sent to the host computer for display of the cluster fog position.

[0065] In a possible design, the induction lamp device further includes a solar power supply unit and a wireless communication unit, and the wireless communication unit is communicatively connected to the control gateway.

[0066] The solar power supply unit is used to convert solar energy into electrical energy to provide working power for the dust and fog detection unit, the temperature and humidity detection unit, the edge computing unit, and the wireless communication unit;

[0067] The wireless communication unit is used to realize wireless communication and data transmission between the induction lamp device and the control gateway.

[0068] In summary, this embodiment discloses a group fog detection system based on induction lamps, including a plurality of induction lamp devices, a control gateway, and a host computer. The induction lamp device includes a dust and fog detection unit, a temperature and humidity detection unit, and an edge computing unit. The dust and fog detection unit and the temperature and humidity detection unit are communicatively connected to the edge computing unit, the edge computing unit is communicatively connected to the control gateway, and the control gateway is communicatively connected to the host computer. The dust and fog detection unit is used to detect whether there are tiny particles of dust or fog at the current position to obtain dust and fog data. The temperature and humidity detection unit is used to detect the temperature and humidity data at the current position and upload the dust and fog data, temperature, and humidity data to the edge computing unit. The edge computing unit judges the dust and fog state according to the dust and fog data and the temperature and humidity data, where the dust and fog state includes dust or fog, and uploads the dust and fog state to the control gateway. The control gateway judges whether the position of the induction lamp device with the dust and fog state being fog and the preset time period reach the preset conditions. If so, it generates a group fog warning message, determines the position, range, and movement trend of the group fog according to the position of the induction lamp device with the dust and fog state being fog and the preset time period, sends the group fog warning message, the position, range, and movement trend of the group fog to the host computer, and performs visual display, improving the accuracy of group fog recognition, realizing the prediction and forecasting of group fog in areas prone to group fog. At the same time, only a single induction lamp device is used. Compared with using a visibility detector or a small weather station to detect group fog in the prior art, it can reduce the detection cost and improve the detection efficiency.

[0069] As Figure 2 shown, the second aspect of this embodiment provides a method for detecting group fog based on induction lamps, including the following steps:

[0070] S1. Obtain the dust and fog data of multiple induction lamp devices and the temperature and humidity data corresponding to the time period of the dust and fog data, and preprocess the dust and fog data to obtain the visibility value;

[0071] Specifically, in step S1, obtaining the dust and fog data of multiple induction lamps within a preset time period and preprocessing the dust and fog data to obtain the visibility value includes:

[0072] Obtain the dust and fog data of multiple induction lamp devices, where the dust and fog data is data for detecting whether there are tiny particles of dust or fog at the current position based on the light scattering effect of tiny particles of dust or fog;

[0073] Average multiple dust and fog data and perform denoising processing to obtain the visibility value.

[0074] S2. Calibrate the fog level based on the visibility value. When the fog level is greater than the preset level, send a second warning message.

[0075] S3. Judge the dust and fog state according to the visibility value, temperature and humidity data. The dust and fog state includes dust raising or fog.

[0076] Specifically, in step S3, judging the dust and fog state according to the visibility value, temperature and humidity data includes:

[0077] When the visibility value gradually decreases, the humidity data is higher than the preset humidity threshold, and the temperature is lower than the preset temperature threshold, it is determined that the dust and fog state is fog.

[0078] When the visibility value gradually decreases, the humidity data is lower than the preset humidity threshold, and the temperature is higher than the preset temperature threshold, it is determined that the dust and fog state is dust raising.

[0079] S4. Count the positions of the induction lamp devices with the dust and fog state being fog and the preset time period, and judge whether the positions and the preset time period of the induction lamp devices with the dust and fog state being fog reach the preset conditions. If so, generate a warning message for patchy fog, determine the position, range and movement trend of the patchy fog according to the positions of the induction lamp devices with the dust and fog state being fog and the preset time period, and perform visual display.

[0080] In summary, a method for detecting patchy fog based on induction lamps provided in this embodiment includes obtaining dust and fog data of multiple induction lamps and temperature and humidity data corresponding to the time period of the dust and fog data, preprocessing the dust and fog data to obtain the visibility value; calibrating the fog level based on the visibility value, and when the fog level is greater than the preset level, sending a second warning message; judging the dust and fog state according to the visibility value, temperature and humidity data, where the dust and fog state includes dust raising or fog; counting the positions of the induction lamp devices with the dust and fog state being fog and the preset time period, and judging whether the positions and the preset time period of the induction lamp devices with the dust and fog state being fog reach the preset conditions. If so, generate a warning message for patchy fog, determine the position, range and movement trend of the patchy fog according to the positions of the induction lamp devices with the dust and fog state being fog and the preset time period, and perform visual display. By obtaining the dust and fog data, processing the dust and fog data to transform it into the visibility value, judging the dust and fog state by combining the visibility value with the temperature and humidity data, if the dust and fog state is judged to be fog, then send a warning message for patchy fog, and perform visual display of the position, range and movement trend of the patchy fog according to the warning message for patchy fog, so as to realize the prediction and forecasting of patchy fog in areas prone to patchy fog.

[0081] In the third aspect of this embodiment, a computer-readable storage medium is provided. Instructions are stored on the computer-readable storage medium, and when the instructions are run on a computer, they are used to execute the method for detecting mass fog based on induction lights as described in the second aspect of the embodiment. Among them, the computer-readable storage medium refers to a carrier for storing data, and may include, but is not limited to, computer-readable storage media such as floppy disks, optical discs, hard disks, flash memories, USB flash drives, and / or memory sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0082] For the working process, working details, and technical effects of the aforementioned computer-readable storage medium provided in this embodiment, reference may be made to the method for detecting mass fog based on induction lights as described in the second aspect of the embodiment, which will not be elaborated here.

[0083] In the fourth aspect of this embodiment, a computer program product is provided, including a computer program or instructions. When the computer program or the instructions are executed by a computer, they are used to implement the method for detecting mass fog based on induction lights as described in the second aspect of the embodiment.

[0084] For the working process, working details, and technical effects of the aforementioned computer program product provided in this embodiment, reference may be made to the method for detecting mass fog based on induction lights as described in the second aspect of the embodiment, which will not be elaborated here.

[0085] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A fog detection system based on an induction lamp, characterized in that: It includes multiple induction light devices, a control gateway and a host computer. The induction light device includes a dust and fog detection unit, a temperature and humidity detection unit and an edge computing unit. The dust and fog detection unit and the temperature and humidity detection unit are both connected to the edge computing unit in communication. The edge computing unit is connected to the control gateway in communication. The control gateway is connected to the host computer in communication. The dust and fog detection unit is used to detect in real time whether there are tiny particles of dust or fog at the current location based on the scattering effect of tiny particles of dust or fog on light, obtain dust and fog data, and upload the dust and fog data to the edge computing unit; The temperature and humidity detection unit is used to detect the temperature and humidity data of the current location and upload the temperature and humidity data to the edge computing unit; The edge computing unit is used to determine the dust and fog state according to the dust and fog data and the temperature and humidity data, wherein the dust and fog state includes dust or fog, and upload the dust and fog state to the control gateway; The control gateway is used to count the position of the induction light device when the dust and fog state is fog and the preset time period, determine whether the position of the induction light device when the dust and fog state is fog and the preset time period meet the preset conditions, and if so, generate fog group warning information, determine the position, range and movement trend of the fog group according to the position of the induction light device when the dust and fog state is fog and the preset time period, and send the fog group warning information, the position, range and movement trend of the fog group to the host computer; The host computer is used to visualize fog group warning information, the location, range and movement trend of fog group.

2. According to claim 1, a fog detection system based on an induction lamp is characterized in that: Before determining the dust fog state according to the dust fog data and the temperature and humidity data, the edge computing unit is further used to: Multiple dust and fog data are averaged and denoised to obtain the visibility value.

3. A fog detection system based on an induction lamp according to claim 2, characterized in that: When the visibility value gradually decreases, the humidity data is higher than the preset humidity threshold, and the temperature is lower than the preset temperature threshold, the edge computing unit determines that the dust and fog state is fog; When the visibility value gradually decreases, the humidity data is lower than the preset humidity threshold, and the temperature is higher than the preset temperature threshold, the edge computing unit determines that the dust fog state is dust.

4. The fog detection system based on the induction lamp according to claim 1 is characterized in that: The plurality of induction light devices are installed on both sides of the road, evenly arranged at specific intervals, and respectively installed on the left and right sides of the road in a matrix distribution. The preset conditions at least include: Within a preset time period, a preset number of adjacent induction light devices in the dust and fog state of fog appear in the longitudinal direction, and at the same time, the number of adjacent induction light devices in the dust and fog state of fog appears in the lateral direction, which is greater than a preset value of the number of columns; During a preset time period, the proportion of the guidance light devices in which the dust and fog state is fog to all guidance light devices is greater than a preset threshold.

5. The fog detection system based on induction lamp according to claim 1 is characterized in that: The induction light device also includes a GPS positioning unit, which is used to determine the location information of the induction light device using satellite signals and upload the location information to the control gateway.

6. The fog detection system based on induction lamp according to claim 1 is characterized in that: The induction light device also includes a solar power supply unit and a wireless communication unit, and the wireless communication unit is communicatively connected with the control gateway; The solar power supply unit is used to convert solar energy into electrical energy to provide working power for the dust and fog detection unit, the temperature and humidity detection unit, the edge computing unit and the wireless communication unit; The wireless communication unit is used to realize wireless communication and data transmission between the induction light device and the control gateway.

7. A method for detecting fog clusters based on an induction lamp, characterized in that: include: Acquire dust and fog data of a plurality of induction light devices and temperature and humidity data of a time period corresponding to the dust and fog data, wherein the dust and fog data is data for detecting whether there are tiny particles of dust or fog at the current location based on the scattering effect of tiny particles of dust or fog on light, and pre-process the dust and fog data to obtain a visibility value; The fog level is calibrated based on the visibility value, and when the fog level is greater than the preset level, a first warning information is generated; Determining dust and fog conditions according to visibility values ​​and temperature and humidity data, wherein the dust and fog conditions include dust or fog; The positions of the induction light devices when the dust and fog state is fog and the preset time period are counted, and it is determined whether the positions of the induction light devices when the dust and fog state is fog and the preset time period meet the preset conditions. If so, fog group warning information is generated, and the position, range and movement trend of the fog group are determined according to the positions of the induction light devices when the dust and fog state is fog and the preset time period, and a visual display is performed.

8. The method for detecting fog clusters based on an induction lamp according to claim 7, characterized in that: Obtain dust and fog data of multiple induction light devices within a preset time period, pre-process the dust and fog data, and obtain visibility values, including: Acquire dust and fog data of a plurality of induction light devices within a preset time period, wherein the dust and fog data is data for detecting whether there are tiny particles of dust or fog at a current location based on the scattering effect of tiny particles of dust or fog on light; Multiple dust and fog data are averaged and denoised to obtain visibility values.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the method for detecting fog clusters based on an induction lamp as described in any one of claims 7 to 8 is executed.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or the instruction is executed by a computer, the method for detecting fog clusters based on an induction lamp according to any one of claims 7 to 8 is implemented.

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