CN113313914A

CN113313914A - Group fog monitoring method, device and system and storage medium

Info

Publication number: CN113313914A
Application number: CN202110591964.8A
Authority: CN
Inventors: 谢静芳; 姚志平
Original assignee: Individual
Current assignee: Individual
Priority date: 2021-05-28
Filing date: 2021-05-28
Publication date: 2021-08-27
Anticipated expiration: 2041-05-28
Also published as: CN113313914B

Abstract

The embodiment of the application provides a method, a device and a system for monitoring cluster fog and a storage medium. The fog cluster monitoring method comprises the following steps: controlling fixed monitoring equipment to acquire first monitoring information of a set monitoring area; determining whether the first monitoring information satisfies a mist presence condition; if the cluster fog existence condition is met, controlling the mechanical monitoring equipment to acquire cluster fog characteristic information of the cluster fog; determining whether the group fog characteristic information meets group fog early warning conditions; and if the group fog early warning condition is met, determining group fog early warning information according to at least one of the first monitoring information and the second monitoring information and the group fog characteristic information. The embodiment of the application adopts the cooperative monitoring mode of the fixed monitoring equipment and the maneuvering monitoring equipment, is favorable for breaking through the limitation of the monitoring range, realizes the advanced monitoring of the mist, effectively improves the monitoring precision, is also favorable for controlling the total quantity of the fixed monitoring equipment and the maneuvering monitoring equipment, and can further save the cost and improve the utilization rate of the monitoring equipment.

Description

Group fog monitoring method, device and system and storage medium

Technical Field

The application relates to the technical field of meteorological monitoring, in particular to a method, a device and a system for monitoring cluster fog and a storage medium.

Background

The cloud is a local low-visibility weather phenomenon with small space-time scale, is also a disaster weather, and has obvious negative effects on traffic safety such as roads, railways, water transportation and aviation, and power systems. Therefore, the method is particularly important for monitoring and effectively early warning the cluster fog in advance.

However, the existing cluster fog monitoring mode has the defects of relatively limited monitoring range, relatively low monitoring precision and the like.

Disclosure of Invention

The application provides a method, a device, a system and a storage medium for monitoring cluster fog aiming at the defects of the prior art, and aims to solve the technical problems that the monitoring range is limited or the monitoring precision is low in the prior art.

In a first aspect, an embodiment of the present application provides a method for monitoring mist, including:

controlling fixed monitoring equipment to acquire first monitoring information of a set monitoring area; or controlling the fixed monitoring equipment to acquire first monitoring information of the set monitoring area and controlling the mobile monitoring equipment to acquire second monitoring information of the set monitoring area;

determining whether at least one of the first monitoring information and the second monitoring information satisfies a mist presence condition;

if the cluster fog existence condition is met, controlling the mechanical monitoring equipment to acquire cluster fog characteristic information of the cluster fog;

determining whether the group fog characteristic information meets group fog early warning conditions;

and if the group fog early warning condition is met, determining group fog early warning information according to at least one of the first monitoring information and the second monitoring information and the group fog characteristic information.

In a second aspect, an embodiment of the present application provides a cloud monitoring device, including:

the control module is used for controlling the fixed monitoring equipment to acquire first monitoring information of a set monitoring area and controlling the mobile monitoring equipment to acquire group mist characteristic information of the group mist; or the monitoring system is used for controlling the fixed monitoring equipment to acquire first monitoring information of a set monitoring area, controlling the mobile monitoring equipment to acquire second monitoring information of the set monitoring area, and controlling the mobile monitoring equipment to acquire group fog characteristic information of the group fog;

the analysis module is used for determining whether the first monitoring information meets the existing condition of the group fog and determining whether the characteristic information of the group fog meets the early warning condition of the group fog;

and the information generation module is used for determining the group fog early warning information according to the first monitoring information and the group fog characteristic information.

In a third aspect, an embodiment of the present application provides a cloud monitoring system, including:

the fixed monitoring equipment is arranged in a set monitoring area;

a mobility monitoring device;

a control device in communication with the stationary monitoring device and the mobile monitoring device, respectively, the control device configured to store machine readable instructions which, when executed by the control device, implement the bolus monitoring method as provided in the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the bolus fog monitoring method as provided in the first aspect.

The beneficial technical effects brought by the technical scheme provided by the embodiment of the application comprise: the cooperative monitoring mode of the fixed monitoring equipment and the mobile monitoring equipment is adopted, so that the limitation of only depending on the monitoring capability of the fixed monitoring equipment is broken through, and the possible generation of the mist and the advance monitoring of an active area are realized; the maneuverability of the maneuvering monitoring equipment can be utilized to find the mist in time and implement tracking monitoring and encryption monitoring, so that the monitoring precision is effectively improved; the number of the fixed monitoring devices is reduced, the total number of the fixed monitoring devices and the total number of the mobile monitoring devices are controlled, the cost can be saved, and the utilization rate of the monitoring devices is improved.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

fig. 1 is a schematic structural framework diagram of a group fog monitoring system provided in an embodiment of the present application;

fig. 2 is a schematic structural framework diagram of a control device in a group fog monitoring system according to an embodiment of the present disclosure;

fig. 3 is a schematic flow chart of a method for monitoring mist according to an embodiment of the present disclosure;

fig. 4 is a schematic flowchart of a tracing method for group fog according to an embodiment of the present disclosure;

fig. 5 is a source tracing schematic diagram of a cloud tracing method according to an embodiment of the present application;

fig. 6 is a schematic structural framework diagram of a cloud monitoring device according to an embodiment of the present disclosure.

In the figure:

10-target management range; 11-presetting a management area; 12-critical management area;

20-cloud source tracing range; 21-a mist-forming zone; 22-a cloud key generation zone; 23-cluster fog active area; 24-cloud critical activity zone;

100-cluster fog monitoring system;

110-a control device; 111-a processor; 112-a bus; 113-a memory; 114-a transceiver; 115-an input unit; 116-an output unit;

120-stationary monitoring equipment; 130-motorized monitoring devices;

200-mist monitoring device; 210-a control module; 220-an analysis module; 230-information generation module.

Detailed Description

Reference will now be made in detail to the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar parts or parts having the same or similar functions throughout. In addition, if a detailed description of the known art is not necessary for illustrating the features of the present application, it is omitted. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.

It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.

The inventors of the present application have studied and found that, in the conventional mist monitoring method, the mist monitoring device is generally disposed at a fixed place in a management area (for example, the mist monitoring device is disposed at a certain section or certain sections of a certain road) which is empirically determined to be highly affected by the mist within the management area, but the mist is generally originated from an area outside the management area.

For example, the existing monitoring and early warning method for the influence on the fog on the highway is limited to fixedly arranging the fog monitoring equipment on the highway fog-laden and frequent road sections, and the fog influencing the highway mostly originates from mountains, fields and other areas outside the highway.

The inventor of this application still discovers, the current group fog monitoring facilities lay the diameter that the interval is obviously greater than group fog, and the group fog monitoring net of its constitution can catch the probability of group fog activity very little, is unfavorable for monitoring and early warning group fog incident and calamity.

Therefore, when the group fog monitoring equipment monitors the group fog, the group fog may arrive at a near or already arrive at a management area, so that the advanced monitoring of the group fog and the effective early warning of the influence on the group fog are difficult to realize, the group fog monitoring equipment can only be fixedly arranged, and the defects that the monitoring range is limited, the monitoring precision is reduced along with the increase of the distance between the group fog to be detected and the group fog monitoring equipment and the like exist.

In order to realize the advanced monitoring of the mist or improve the accuracy of the monitoring of the mist, the fixed arrangement range of the mist monitoring equipment needs to be enlarged, that is, the mist monitoring equipment is fixedly arranged in all possible movable areas of the mist, which causes the number of the mist monitoring equipment to be increased sharply, causes heavy cost burden, and causes a part of the mist monitoring equipment to have low utilization rate, and also causes the waste of monitoring resources to a certain extent.

The application provides a method, a device and a system for monitoring cluster fog and a storage medium, and aims to solve the technical problems in the prior art.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments.

The embodiment of the present application provides a group fog monitoring system 100, a schematic structural diagram of the group fog monitoring system 100 is shown in fig. 1, and the group fog monitoring system 100 includes: a stationary monitoring device 120, a motorized monitoring device 130, and a control device 110.

The fixed monitoring equipment 120 is arranged in a set monitoring area.

The control device 110 is communicatively coupled to the stationary monitoring device 120 and the mobile monitoring device 130, respectively, and the control device 110 is configured to store machine-readable instructions that, when executed by the control device 110, implement any of the bolus monitoring methods as provided by embodiments of the present application.

Setting the monitoring zone may include: at least one of a group mist generating zone, a group mist key generating zone, a group mist active zone, a group mist key active zone, and a key management zone. These optionally set monitoring zones are all areas associated with bolus mist effects, which are described in more detail below and will not be described in further detail herein.

In this embodiment, the group fog monitoring system 100 realizes cooperative monitoring of the fixed monitoring device 120 and the mobile monitoring device 130 through the control device 110, which is beneficial to breaking through the limitation of only depending on the monitoring capability of the fixed monitoring device and realizing advanced monitoring of the possible generation and activity areas of group fog; the mobility of the mobile monitoring equipment 130 can be utilized to find the mist in time and implement tracking monitoring and encryption (density increase) monitoring, so that the monitoring precision is effectively improved; the number of the fixed monitoring devices 120 is reduced, the total number of the fixed monitoring devices 120 and the mobile monitoring devices 130 is controlled, the cost can be saved, and the utilization rate of the monitoring devices can be improved.

Optionally, the stationary monitoring device 120 comprises: the device for monitoring the visibility can monitor the visibility of the air mass at the place where the device is located in real time. For example: transmission visibility meters, scattering visibility meters, digital camera visibility meters, and the like.

Optionally, the stationary monitoring device 120 comprises: the equipment for monitoring meteorological elements such as temperature, humidity, wind and the like can monitor the meteorological elements of the place where the equipment is located in real time. For example: thermometers, hygrometers, anemometers, and the like.

Optionally, the stationary monitoring device 120 comprises: a device for monitoring video images. The video image information in the visual field range of the equipment can be monitored and acquired in real time, and the monitoring range can be expanded by adjusting the angle direction of the video camera and the like.

Optionally, the stationary monitoring device 120 comprises: satellite monitoring and radar remote sensing monitoring equipment. The activity information of the group fog can be further monitored by utilizing information such as infrared images, atmospheric temperature, earth surface images, air water vapor and the like detected by satellite remote sensing and radar.

It should be noted that one or more of the fixed monitoring devices 120 provided by the above examples may be deployed at any given monitoring zone.

Optionally, the mobile monitoring device 130 is a mobile device carrying or integrating monitoring devices such as visibility monitoring, meteorological element monitoring, and video images, and includes: unmanned aerial vehicles, unmanned ships and the like which carry visibility monitoring equipment, meteorological element monitoring equipment and video image monitoring equipment.

It will be appreciated by those skilled in the art that the control device 110 provided in the embodiments of the present application may be specially designed and manufactured for the required purposes, or may also include, but is not limited to, known devices in general purpose computers. These devices have stored therein computer programs that are selectively activated or reconfigured. Such a computer program may be stored in a device (e.g., computer) readable medium or in any type of medium suitable for storing electronic instructions and respectively coupled to a bus.

The present application provides in one alternative embodiment a control device 110, the control device 110 as shown in fig. 2 comprising: a processor 111 and a memory 113. Wherein processor 111 and memory 113 are electrically coupled, such as by bus 112.

The Processor 111 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 111 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs and microprocessors, and the like.

Bus 112 may include a path that transfers information between the above components. The bus 112 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 112 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 2, but it is not intended that there be only one bus or one type of bus.

The Memory 113 may be a ROM (Read-Only Memory) or other type of static storage device that can store static information and instructions, a RAM (random access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read-Only Memory), a CD-ROM (Compact Disc Read-Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.

Optionally, the control device 110 may also include a transceiver 114. The transceiver 114 may be used for reception and transmission of signals. The transceiver 114 may allow the control device 110 to communicate wirelessly or by wire with other devices to exchange data. It should be noted that the practical application of the transceiver 114 is not limited to one.

Optionally, the control device 110 may further include an input unit 115. The input unit 115 may be used to receive input numeric, character, image and/or sound information or to generate key signal inputs related to user settings and function control of the control device 110. The input unit 115 may include, but is not limited to, one or more of a touch screen, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, a camera, a microphone, and the like.

Optionally, the control device 110 may further include an output unit 116. The output unit 116 may be used to output or present information processed by the processor 111. The output unit 116 may include, but is not limited to, one or more of a display device, a speaker, a vibration device, and the like.

While fig. 2 illustrates the control device 110 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

Based on the same inventive concept, the embodiment of the present application provides a method for monitoring mist, a flow diagram of the method is shown in fig. 3, and the method includes steps S101 to S105:

s101: and controlling the fixed monitoring equipment 120 to acquire first monitoring information of a set monitoring area. Alternatively, the fixed monitoring device 120 is controlled to acquire the first monitoring information of the set monitoring area, and the mobile monitoring device 130 is controlled to acquire the second monitoring information of the set monitoring area.

In one example, the control device 110 may control the fixed monitoring device 120 fixedly arranged in a set monitoring area to monitor the mist; after the control device 110 determines that the mist cloud appears or is about to appear according to the first monitoring information collected by the fixed monitoring device 120, the control device 110 may control the mobile monitoring device 130 to move to the formed mist cloud or the place about to form the mist cloud, so as to implement close-range collection of the characteristic information of the mist cloud; the control device 110 determines the group fog early warning information according to the first monitoring information and the group fog characteristic information, so that the group fog is monitored in advance, and the effective early warning on the influence of the group fog is realized. Because the mobile monitoring device 130 can implement close-range collection of group fog characteristic information, the mobile monitoring device 130 can acquire the group fog characteristic information earlier and with higher precision than the fixed monitoring device 120.

In one example, the control device 110 may control the fixed monitoring device 120 fixedly disposed in the set monitoring area to monitor the mist and collect the first monitoring information, and at the same time, the control device 110 further controls the mobile monitoring device 130 to move to the set monitoring area to monitor the mist and collect the second monitoring information; after the control device 110 determines that the mist cloud appears or is likely to appear according to at least one of the first monitoring information and the second monitoring information, the control device 110 continues to control the mobile monitoring device 130 to move to the formed mist cloud or a place to be formed with the mist cloud, so as to realize the close-range collection of the characteristic information of the mist cloud; the control device 110 determines the group mist early warning information according to at least one of the first monitoring information and the second monitoring information and the group mist characteristic information, so that the group mist is monitored in advance, and the effective early warning on the influence of the group mist is realized.

Alternatively, the mobility monitoring device 130 can be started or ended in real-time as desired. For example: the device can be started after the fixed monitoring equipment 120 finds the mist, and the formed mist or the place to be formed with the mist is monitored in a close range; or may be started when the fixed monitoring device 120 does not find the cloud, for example, implementing patrol monitoring in a set monitoring area where the fixed monitoring device 120 is not deployed.

Alternatively, the mobility monitoring device 130 can be stored at a designated location when mobility monitoring is not enabled. After the maneuver monitoring is started, the maneuver monitoring device 130 may first reach the location where the maneuver monitoring is to be performed, and then perform the maneuver monitoring.

Alternatively, the method for starting the mechanical monitoring device 130 may be manual starting, remote starting, automatic program starting, or the like.

In some possible embodiments, the first monitoring information includes at least one of visibility monitoring information, meteorological element monitoring information, and image monitoring information.

In some possible embodiments, the second monitoring information includes at least one of visibility monitoring information, meteorological element monitoring information, and image monitoring information.

It should be noted that the type of the first monitoring information obtained by the fixed monitoring device 120 and the type of the second monitoring information obtained by the controlled monitoring device 130 may be the same or different, or may be partially the same.

S102: determining whether at least one of the first monitoring information and the second monitoring information satisfies a mist presence condition; if the mist presence condition is satisfied, executing step S103; otherwise, step S101 is executed.

Alternatively, the control device 110 in the cloud monitoring system 100 provided by the foregoing embodiment determines whether at least one of the first monitoring information and the second monitoring information satisfies the cloud existence condition.

In some possible embodiments, the determining whether at least one of the first monitoring information and the second monitoring information satisfies the mist presence condition may include: and determining the size relation between the visibility monitoring information of at least one of the first monitoring information and the second monitoring information and the visibility threshold of the fog, and if the visibility monitoring information is not greater than the visibility threshold of the fog, determining that at least one of the first monitoring information and the second monitoring information meets the existence condition of the fog.

In one example, the threshold value of the visibility of the fog is set to be not greater than 100 meters, if the visibility monitoring information in the first monitoring information is 150 meters, and the visibility monitoring information in the second monitoring information is 80 meters, although the visibility of 150 meters in the first monitoring information is greater than the threshold value of the visibility of 100 meters, the visibility of 80 meters in the second monitoring information is obviously less than the threshold value of the visibility of 100 meters, so that it can be determined that the second monitoring information satisfies the condition that the fog exists, that is, the fog exists.

In some possible embodiments, the determining whether at least one of the first monitoring information and the second monitoring information satisfies the mist presence condition may include: and determining the matching relation between the meteorological element monitoring information of at least one of the first monitoring information and the second monitoring information and the group fog defined threshold value, and if the meteorological element monitoring information is matched with the group fog defined threshold value, determining that at least one of the first monitoring information and the second monitoring information meets the group fog existence condition.

In one example, the set relative humidity range in the cloud defining threshold is ≧ 90%, and if the relative humidity in the first monitored information is 85% and the relative humidity in the second monitored information is 95%, it is determined that at least one of the first monitored information and the second monitored information satisfies the cloud presence condition, i.e., the cloud is present or likely to be present.

In some possible embodiments, the determining whether at least one of the first monitoring information and the second monitoring information satisfies the mist presence condition may include: and determining the matching relation between the image monitoring information of at least one of the first monitoring information and the second monitoring information and the group fog defined threshold value, and if the image monitoring information is matched with the group fog defined threshold value, determining that at least one of the first monitoring information and the second monitoring information meets the group fog existence condition.

In one example, under good light conditions on a sunny day, the digital image cloud bounding threshold condition is: if the RGB values of the first monitoring information are 156, 151, and 181, respectively, and the RGB values of the second monitoring information are 220, 215, and 238, respectively, then the first monitoring information and the second monitoring information both satisfy the condition of existence of the cloud, and it can be determined that the cloud exists or may exist.

Optionally, as long as the analysis result of a certain monitoring information collected by a certain place or a certain device is that there is or may be fog, the comprehensive analysis result is that there is or may be fog.

Alternatively, if no foggy activity is found or expected to be absent in the monitored area, return to step S101.

S103: if the cluster mist existence condition is satisfied, the control action monitoring device 130 acquires the cluster mist feature information of the cluster mist.

Optionally, the group mist characteristic information includes at least one of group mist generation area information, group mist activity area information, group mist intensity information, group mist image element information, and group mist video image information.

Optionally, the cloud generation area information includes: location, area size, boundary extent, topography, etc.

Optionally, the group fog activity zone information comprises: the center position, size (boundary), etc. of the mist of the mass that has been generated and its variation within the active area, and the area through and covered by the mass mist during its development, movement, dissipation after generation.

Optionally, the bolus intensity information comprises: temperature, humidity, visibility, etc. inside the mist.

Optionally, the cloud weather element information includes: temperature, humidity, wind speed, wind direction, etc. of the external environment of the mist.

Optionally, the fog video image information comprises: the group fog, dynamic video information around the group fog, or static picture information.

Alternatively, if the mist presence condition is satisfied, the control device 110 in the mist cloud monitoring system 100 provided by the foregoing embodiment controls the motorized monitoring device 130 to acquire the mist cloud characteristic information of the mist cloud.

In some possible embodiments, if the mist existence condition is satisfied, the stationary monitoring device 120 is further controlled to acquire the mist characteristic information of the mist. That is, in the case where the presence condition of the cloud is satisfied, the mobile monitoring apparatus 130 is controlled not only to acquire the cloud characteristic information of the cloud from the mobile observation point, but also to acquire the cloud characteristic information of the cloud from the stationary observation point. Therefore, the dual collection of the group mist characteristic information at the same time of the group mist can be realized, the reliability of determining the existence condition of the group mist is improved, the possible failure probability of the collected information is reduced, the effectiveness of the group mist characteristic information can be ensured, the precision of the group mist characteristic information is improved, the follow-up ' determination ' can be facilitated, whether the group mist characteristic information meets the group mist early warning condition ' or not is provided with a more comprehensive judgment basis, and the group mist early warning precision is improved.

In some possible embodiments, the controlling the mechanical monitoring device 130 to obtain the group fog characteristic information of the group fog may include:

the control maneuver monitoring device 130 obtains the bolus fog characteristic information at the first time.

And determining a maneuvering monitoring scheme according to the characteristic information of the cluster fog at the first moment.

And controlling the maneuvering monitoring device 130 to continue to acquire the fog characteristic information at the second moment according to the maneuvering monitoring scheme.

In this embodiment, the first time is a time before the second time, and the control device 110 may adjust the maneuvering monitoring scheme of the maneuvering monitoring device 130 at the subsequent second time according to the group fog feature information obtained by the maneuvering monitoring device 130 at the first time, so as to adapt to the characteristics of small group fog activity range, fast change, and the like, and ensure that the maneuvering monitoring device 130 can obtain finer, more accurate, and more effective group fog feature information.

Optionally, the content of the maneuver monitoring scenario may include: monitoring content, monitoring location, monitoring start and stop times, monitoring movement routes, monitoring movement speed, and the like.

Optionally, the maneuver monitoring protocol includes: the motorized monitoring equipment can track the mist cluster, carry out motorized monitoring around the mist cluster and inside the mist cluster, carry out motorized monitoring in a critical generation area of the mist cluster, a critical activity area of the mist cluster and the like, and carry out motorized observation in an area where the mist cluster is just moved out or an area which can be influenced in the future.

Optionally, the maneuver monitoring protocol includes: the mobile monitoring devices 130 stay at the designated positions for monitoring, and the mobile monitoring devices 130 correspond to the designated positions one by one.

Optionally, the maneuver monitoring protocol includes: the motorized monitoring device 130 moves the monitoring along the designated route.

In one example, the designated line is in a radial line shape all around with the set observation point as an origin. The line of radiation may be horizontal, vertical or in any direction of three-dimensional space. It should be noted that the set observation point may be a fixed spatial position, for example: setting an observation point to be a certain intersection, a certain mountain stream or a certain section of ridge, and the like; the set observation point may also be a moving spatial location associated with the cloud, for example: the set observation point is at the center of the mist cloud, and the set observation point moves along with the movement of the mist cloud.

In one example, the designated line runs straight through the cloud.

In one example, the specified line curve is routed around at least one of an edge of the mist, an interior of the mist, and a perimeter of the mist.

S104: and determining whether the group mist characteristic information meets the group mist early warning condition.

Alternatively, whether or not the group mist characteristic information satisfies the group mist warning condition is determined by the control device 110 in the group mist monitoring system 100 provided by the foregoing embodiment.

In some possible embodiments, determining whether the group fog characteristic information satisfies the group fog warning condition may include:

and determining the group fog activity information by adopting at least one of an extrapolation method, an index model method and a numerical simulation method according to the group fog characteristic information.

And determining whether the group fog characteristic information meets the group fog early warning condition or not according to the group fog activity information.

In one example, for the generated group fog, the moving path, the moving speed, the moving area, the range size, the intensity change and the like of the group fog in a future period are calculated and analyzed and inferred according to the monitoring information obtained by cooperative monitoring and the information such as the position, the range, the intensity and the change thereof of the group fog, and the influence of the group fog on the expressway is further warned.

In one example, based on the group fog historical data obtained by collaborative observation, a method such as climate analysis, weather analysis, statistical analysis, big data analysis, artificial intelligence and the like is adopted to establish early warning indexes or models such as group fog elimination, movement, evolution, influence and the like. Judging and early warning the mass fog generation and elimination according to the forecast index threshold value of the key meteorological elements.

In one example, weather and statistical analysis methods are employed to determine the effects of temperature, humidity, wind, pressure, etc., and to identify key meteorological elements and index thresholds for cloud. And (3) assimilating the cooperative monitoring data into a numerical mode by adopting a numerical mode suitable for the space-time scale and the weather physical process of the cluster fog, and taking the assimilation into the numerical mode as a key meteorological element for forecasting influence and identifying the cluster fog in an initial field.

S105: and if the group fog early warning condition is met, determining group fog early warning information according to at least one of the first monitoring information and the second monitoring information and the group fog characteristic information.

Alternatively, if the group mist warning condition is satisfied, the control device 110 in the group mist monitoring system 100 provided by the foregoing embodiment determines the group mist warning information from at least one of the first monitoring information and the second monitoring information, and the group mist characteristic information.

Optionally, the cloud warning information may include at least one of:

(1) risk of influence, influence characteristics and the like of the group fog on the target management range. Impact risk refers to the likelihood, severity, etc. of the cloud impacting the highway. The influence characteristics refer to the influence of the cluster fog activities on important targets, such as: extent of influence, sustained influence, or repeated influence, etc.

(2) The life cycle of the cluster fog, including generation time, development time, maintenance time, weakening time, dissipation time and the like;

(3) the active area and the change of the cluster fog with time, and the generation place, the moving path, the dissipation place and the like are also included;

(4) the intensity of the mist and its characteristics of change with time and place, in addition to the generation intensity, maintenance intensity, maximum intensity, etc.;

(5) the influence time, influence characteristics and influence degree of the cluster fog on important targets and places (areas). The influence degree refers to the content related to the strength of the cloud, the influence time and the influence object, such as: moderate and severe effects, etc.

After the steps S101 to S105, cooperative monitoring of the fixed monitoring device 120 and the mobile monitoring device 130 can be realized, which is beneficial to breaking through the limitation of monitoring capability only depending on the fixed monitoring device, realizing advanced monitoring of the possible generation and activity areas of the mist, and utilizing the mobility of the mobile monitoring device 130 to discover the mist and implement tracking monitoring and encryption (density increase) monitoring in time, thereby effectively improving the monitoring precision, reducing the number of the fixed monitoring device 120, controlling the total number of the fixed monitoring device 120 and the mobile monitoring device 130, further saving the cost and improving the utilization rate of the monitoring device.

Based on any optional embodiment of the group fog monitoring method, before the fixed monitoring device 120 is controlled to obtain the first monitoring information of the set monitoring area, the group fog may be traced to determine at least one of the group fog generating area, the group fog key generating area, the group fog active area, the group fog key active area, and the key management area as the set monitoring area mentioned in the foregoing embodiments.

To this end, an embodiment of the present application provides a cloud traceability method, a flowchart of the cloud traceability method is shown in fig. 4, and the method includes, but is not limited to, steps S201 to S206:

s201: and acquiring a target management range.

Alternatively, the target management area may be a certain road, a certain railway, a certain water channel, a certain airport, a certain dock, a certain power transmission line, and the like.

Optionally, the processor may read data of a certain highway, a certain railway, a certain water area channel, a certain airport, a certain power transmission line, and the like from the database as a target management range; the above data may be reset and intercepted to a certain extent to be a target management range.

In one example, the processor reads information for a certain airport from the database as a target management scope.

In one example, after the processor reads the information of a certain expressway from the database, the information between A kilometer and B kilometers in the certain expressway is intercepted as a target management range according to screenshot information input by an operator through the man-machine exchange device.

S202: and determining a preset management area from the target management range.

Optionally, the preset management area is at least part of the target management range, and is part of the target management range, which is affected by the mist more times or affected by more harm. For example, the preset management area may be a certain section or sections of a certain road, or may be a runway or a relevant airspace of a certain airport.

It is understood that the preset management area is a reference for tracing the cluster mist generation area, the cluster mist activity area, the cluster mist key activity area and the like subsequently.

In some possible embodiments, the determining the preset management area from the target management range may include, but is not limited to: and determining the area in which the number of times of the mist in the target management range is not lower than a first threshold value as a preset management area.

In one example, the number of times each road segment in a highway is affected by the cloud over a period of time may be determined using any of field research, historical data statistics, numerical simulation analysis, and the like. And setting a lower limit value as a first threshold value according to needs, and determining the road sections influenced by the fogs for more than the lower limit value as the preset management area.

In some possible embodiments, the determining the preset management area from the target management range may include, but is not limited to: and determining an area in the target management range, in which the number of events influenced by the mist is not lower than a second threshold value within a set time period, as a preset management area.

In one example, the number of traffic accidents on a certain highway affected by the mist can be determined by any one of field investigation, historical data statistics, numerical simulation analysis and the like. And setting a lower limit value as a second threshold value according to requirements, and determining the road sections with concentrated traffic accidents caused by the fogs as the preset management areas.

S203: and determining a cloud traceability range associated with the preset management area.

Optionally, the group fog tracing range may be a set region, and the range size may be adjusted according to actual requirements, so as to meet the requirements of corresponding precision or breadth of group fog tracing.

Optionally, the cloud traceability area may cover at least part of the target management area, or cover at least part of the preset management area. For example: the cloud tracing range is a three-dimensional space range defined by a circle with a preset management area as the center of a circle and a set size as the radius.

Optionally, the group fog tracing range may be a three-dimensional space range located in a certain direction of the preset management area and separated by a set distance, and the group fog tracing range is completely not overlapped with the preset management area.

Optionally, the processor directly sets and obtains the tracing range of the group fog according to the relevant parameters input by the operator through the man-machine exchange equipment; or, the processor determines to obtain the cloud traceability range after analysis and operation according to other data in the database.

In one example, as shown in fig. 5, a three-dimensional space range defined by a circle having a preset management area 11 as a center and a set size as a radius is set by an operator through a man-machine switching device as the cloud traceability range 20.

In one example, a three-dimensional space range located in a certain direction of the preset management area and separated by a set distance is used as the cloud traceability range.

S204: the cloud generating region and the cloud activity parameters associated with the cloud generating region are determined from the cloud traceability region.

Alternatively, the cloud generation region refers to an origin (or an origin area) of the cloud that affects the cloud section. The cloud generating region has local weather conditions and/or geographic environmental conditions that are more favorable to generating the cloud than the ambient under the same weather and weather background conditions.

Optionally, the group fog activity parameters may include: at least one of moving track or image data of the foggy group, life cycle of the foggy group, moving speed (including fastest moving speed) of the foggy group and maximum moving distance of the foggy group observed by satellite. The maximum moving distance of the cluster mist refers to the maximum linear distance which can be formed between the cluster mist and the cluster mist generation area in the moving process.

In some possible embodiments, the cloud generation region is determined from the cloud traceability region, which may include but is not limited to: and determining the group fog generating area by adopting at least one of a weather analysis method, a group fog individual case analysis method, a statistical analysis method, an algorithm model method, a numerical simulation method, a big data analysis method and an artificial intelligence method according to the group fog traceability range.

In one example, the processor adopts a weather analysis method, selects a plurality of kinds of cluster fog influence factors as evaluation factors, evaluates each area in the cluster fog tracing range, and determines the area meeting the evaluation index as the cluster fog generating area.

In one example, the processor simulates the medium-scale or small-scale circulation situation and meteorological element characteristics of each area in the tracing range of the cluster fog by adopting a numerical simulation method, analyzes the area favorable for the generation of the cluster fog and determines the area as the cluster fog generation area.

In some possible embodiments, determining the group fog activity parameters associated with the group fog generation zone from the group fog traceability range may include, but is not limited to: and determining the group fog activity parameter according to the group fog generating area and at least one characteristic factor of the environment geographic characteristic, the human activity characteristic and the weather influence characteristic which are associated with the group fog generating area.

It will be appreciated that the cloud activity parameters of the cloud generated from different cloud generating regions may be different; the group fog activity parameters of group fog generated from the same group fog generating area under different weather conditions may also be different. Therefore, the corresponding group fog activity parameters can be respectively determined for each group fog generating area in the group fog tracing range.

S205: and determining the cluster fog activity area according to the cluster fog generation area and the cluster fog activity parameters.

Optionally, the group mist activity area extends around the outer boundary of the group mist generation area as a starting point, the extended linear distance is the maximum group mist activity distance, and an area surrounded by the linear end point is the group mist activity area. That is, the mist active region means the entire region covered and affected by the mist during the movement, development, and the like, except for the mist source region. The cloud activity zone is a three-dimensional spatial area.

In some possible embodiments, the determination of the cloud activity region based on the cloud generation region and the cloud activity parameters may include, but is not limited to: and determining the group fog activity area by adopting at least one of an observation method, an empirical judgment method, a statistical analysis method, a weather analysis method, a climate analysis method, a big data analysis method and a numerical simulation method according to the group fog generating area.

In one example, the processor analyzes and determines the moving range and the maximum moving distance of the group fog according to the moving data or image data of the group fog observed by a satellite and the like by adopting an observation method.

In one example, the processor analyzes the life history of the cloud using weather analysis to determine the longest time the cloud has affected; analyzing the existence condition of the cluster fog, and determining the fastest moving speed of the cluster fog; calculating the maximum moving distance of the cluster fog according to the life history and the moving speed; and taking the outer boundary of the cluster mist generating area as a starting point, extending towards the periphery, and taking the extended linear distance as the maximum cluster mist movement distance, so that the area surrounded by the linear end point is the cluster mist movement area.

In one example, the processor simulates the generation of the cloud and the activity thereof affecting the road section under different conditions by adopting a numerical simulation method, and determines the cloud activity area and the maximum activity distance of the cloud.

It is understood that the group mist generated from the different group mist generating regions may differ in the group mist moving region and the group mist maximum moving distance; the group fog generated from the same group fog generating area under different weather conditions may have different group fog activity areas and different maximum activity distances. Therefore, the group fog activity area and the group fog activity parameter generated by each area can be respectively determined for all the group fog generating areas in the tracing range of the group fog.

S206: and determining a key cluster mist activity area from the cluster mist activity area according to the cluster mist generation area and the target management range.

Alternatively, the group mist critical active area is a portion of the group mist active area, and the group mist entering the group mist critical active area is more likely to affect the target management range than the group mist of the group mist active areas located outside the group mist critical active area. Thus, the cloud critical activity zone has a higher monitoring value than cloud activity zones outside the cloud critical activity zone.

In some possible embodiments, the group mist critical activity zone is determined from the group mist activity zone according to the group mist generation zone and the target management range, which may include but is not limited to:

and determining a key management area from the target management range according to the group fog activity area.

And determining a key cluster mist activity area from the cluster mist activity area according to the cluster mist generation area and the key management area.

In the present embodiment, as shown in fig. 5, the key management area 12 is also at least part of the target management range 10. Unlike the preset management area 11, the key management area 12 is a portion that is determined from the target management range 10 according to the group fog activity area 23 during the group fog tracing process and has a higher possibility of being affected by the group fog.

Therefore, compared with the preset management area, the key management area is more closely connected with the influence of the mist, and the management value is higher. For example, a group fog warning board can be arranged in a key management area of the expressway, or the traffic monitoring, the patrol, the dispersion and the like of the key management area can be strengthened.

And, according to the group fog generating area 21 and the key management area 12, the group fog key activity area 24 is determined from the group fog activity area 23, the precision is higher, the group fog monitoring equipment is favorably and scientifically arranged, more complete group fog activity, meteorological background, geographic environment and other data are obtained, the group fog generating mechanism is deeply researched, the group fog monitoring and early warning capability is improved, and the like.

It should be noted that the key management area and the preset management area may be completely overlapped, partially overlapped, or independent.

Optionally, determining a key management area from the target management range according to the group fog activity area, including but not limited to:

an overlapping relationship between the cloud activity zone and the target management range is determined.

And if the group fog activity area is at least partially overlapped with the target management range, determining at least part of the target management range overlapped with the group fog activity area as a key management area.

And if the group fog active area does not overlap with the target management range, determining that the group fog active area is a general group fog active area.

In this embodiment, by comparing whether there is spatial overlap between the group fog active area and the target management range, the key management area having a closer relationship with the group fog influence can be determined from the target management range very conveniently and definitely.

It will be appreciated that the determined key management areas may be different for each mist generation zone, or each mist activity, and that the determined key management areas may overlap or be staggered with respect to each other.

Optionally, the group fog key activity area is determined from the group fog activity area according to the group fog generating area and the key management area, including but not limited to: and determining an area between the cluster fog generating area and the key management area in the cluster fog active area as a cluster fog key active area.

And determining the group mist generating area associated with the key management area as a group mist key generating area.

Alternatively, from the respective cluster mist generating areas determined in the previous step, the cluster mist generating area associated with the key management area is screened out as the cluster mist key generating area, and the remaining cluster mist generating areas may be determined as the cluster mist general generating areas. Compared with the cluster mist general generation area, the cluster mist generated from the cluster mist key generation area has higher possibility of influencing the key management area, and therefore, the cluster mist key generation area has higher monitoring value.

In one example, as shown in fig. 5, the cloud generating area 21 determined by the preceding steps includes: a cluster mist generating area A, a cluster mist generating area B and a cluster mist generating area C. It can be seen that the group mist active zone 23 associated with the group mist generating zone a has an overlap with the target management range 10 (the key management zone 12 being a part of the target management range 10 of the overlap), i.e., the group mist generated from the group mist generating zone a is more likely to affect the key management zone 12 than the group mist generating zone B and the group mist generating zone C, and therefore the group mist generating zone a can be determined as the group mist key generating zone 22, and the group mist generating zone B and the group mist generating zone C can be determined as the group mist general generating zones, respectively.

In some possible embodiments, the step S206 may further comprehensively analyze the weather influence factor, the environmental influence factor, the interaction between the weather influence factor and the environmental influence factor, and the influence of at least one of the weather influence factor and the environmental influence factor on the local microclimate, the movement and development of the group fog in the group fog activity area, and determine the group fog activity area having a significant correlation to the target management range as the group fog key activity area by using at least one of methods of statistics, model calculation, numerical simulation, big data analysis, artificial intelligence, and the like.

In one example, the processor analyzes the influence factors such as the prevailing wind characteristics and the underlying surface humidity conditions of the group fog activity area by using a weather analysis method, analyzes the influence factors on the movement and development of the group fog, and determines the group fog activity area beneficial to influencing the expressway by the group fog as the group fog key activity area.

In one example, the processor adopts a numerical simulation method, the simulation calculates all the group fog activities in the group fog activity area, and the group fog activity area with higher probability of influencing the expressway is determined as the group fog key activity area.

After the steps S201 to S206, the obtained tracing result of the cloud includes: the group mist generation area, the group mist key generation area, the group mist activity area and the group mist key activity area which are associated with the preset management area with larger probability of being influenced by the group mist in the target management range lay a foundation for scientifically laying group mist monitoring equipment, acquiring more complete group mist activity, meteorological background, geographic environment and other data, deeply researching a group mist generation mechanism and improving group mist monitoring and early warning capacity, provide a basis for really monitoring the generation, movement, development and other activities of the group mist in advance, and are beneficial to more effective and more timely monitoring and early warning of the group mist.

And the preset management area is verified or corrected by using the tracing result of the group fog, so that a key management area which is more closely related to the influence of the group fog is identified, and a more accurate range basis is provided for scientific management.

Based on the same inventive concept, an embodiment of the present application provides a cloud monitoring device 200, a schematic structural framework diagram of which is shown in fig. 6, and the device includes: a control module 210, an analysis module 220, and an information generation module 230.

The control module 210 is configured to control the fixed monitoring device 120 to obtain first monitoring information of a set monitoring area, and control the mobile monitoring device 130 to obtain group mist feature information of the group mist; or, the method is used for controlling the fixed monitoring device 120 to obtain the first monitoring information of the set monitoring area, controlling the mobile monitoring device 130 to obtain the second monitoring information of the set monitoring area, and controlling the mobile monitoring device 130 to obtain the group fog characteristic information of the group fog.

The analysis module 220 is configured to determine whether at least one of the first monitoring information and the second monitoring information satisfies a group fog existence condition, and determine whether the group fog feature information satisfies a group fog early warning condition.

The information generating module 230 is configured to determine group fog warning information according to the first monitoring information and the group fog feature information.

In this embodiment, the control module 210, the analysis module 220 and the information generation module 230 in the group fog monitoring device 200 are mutually matched, so that the cooperative monitoring of the fixed monitoring equipment 120 and the mobile monitoring equipment 130 can be realized, which is beneficial to breaking through the limitation of the monitoring range, realizing the advanced monitoring of the group fog, and effectively improving the monitoring precision, and is also beneficial to reducing the number of the fixed monitoring equipment 120, controlling the total number of the fixed monitoring equipment 120 and the mobile monitoring equipment 130, and further saving the cost and improving the utilization rate of the monitoring equipment.

In some possible embodiments, the analysis module 220 is configured to, in the process of determining whether at least one of the first monitoring information and the second monitoring information satisfies the condition that the mist exists, specifically: and determining the size relation between the visibility monitoring information of at least one of the first monitoring information and the second monitoring information and the visibility threshold of the fog, and if the visibility monitoring information is not greater than the visibility threshold of the fog, determining that at least one of the first monitoring information and the second monitoring information meets the existence condition of the fog.

In some possible embodiments, the analysis module 220 is configured to, in the process of determining whether at least one of the first monitoring information and the second monitoring information satisfies the condition that the mist exists, specifically: and determining the matching relation between the meteorological element monitoring information of at least one of the first monitoring information and the second monitoring information and the group fog defined threshold value, and if the meteorological element monitoring information is matched with the group fog defined threshold value, determining that at least one of the first monitoring information and the second monitoring information meets the group fog existence condition.

In some possible embodiments, the analysis module 220 is configured to, in the process of determining whether at least one of the first monitoring information and the second monitoring information satisfies the condition that the mist exists, specifically: and determining the matching relation between the image monitoring information of at least one of the first monitoring information and the second monitoring information and the group fog defined threshold value, and if the image monitoring information is matched with the group fog defined threshold value, determining that at least one of the first monitoring information and the second monitoring information meets the group fog existence condition.

In some possible embodiments, the analysis module 220 is configured to, in the process of determining whether the group fog feature information satisfies the group fog warning condition, specifically: determining the group fog activity information by adopting at least one of an extrapolation method, an index model method and a numerical simulation method according to the group fog characteristic information; and determining whether the group fog characteristic information meets the group fog early warning condition or not according to the group fog activity information.

In some possible embodiments, the control module 210 is configured to control the motorized monitoring device 130 to obtain the group mist characteristic information of the group mist, and specifically to: controlling the maneuvering monitoring device 130 to acquire the group fog characteristic information at the first moment; determining a maneuvering monitoring scheme according to the group fog characteristic information at the first moment; and controlling the maneuvering monitoring device 130 to continue to acquire the fog characteristic information at the second moment according to the maneuvering monitoring scheme.

Based on the same inventive concept, embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements various alternative implementations of the bolus fog monitoring method provided by embodiments of the present application.

The computer-readable storage medium may be a ROM (Read-Only Memory) or other type of static storage device that can store static information and instructions, a RAM (random access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read-Only Memory) or other optical disk storage, optical disk storage (including but not limited to Compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such.

The embodiments of the present application provide various optional embodiments in which a computer-readable storage medium is suitable for any one of the above methods for monitoring fog, and details are not described herein again.

It should be noted that the cooperative monitoring method adopted in the embodiments of the present application for the fixed monitoring device 120 and the mobile monitoring device 130 includes the following three cooperative methods:

one is the coordination of fixed monitoring with mobile monitoring, or remote monitoring with close-range monitoring, by monitoring the device fixed and mobile monitoring devices 130.

And secondly, the cooperation of different monitoring methods and different monitoring contents is realized by collecting monitoring equipment with different information types.

And thirdly, monitoring the different active areas of the cluster fog, such as a cluster fog generating area, a key active area, a cluster fog influence road section and the like.

By applying the embodiment of the application, at least the following beneficial effects can be realized:

1. the cooperative monitoring mode of the fixed monitoring equipment 120 and the motorized monitoring equipment 130 is adopted, so that the limitation of a monitoring range is favorably broken through, the foggy fog is monitored in advance, the monitoring precision is effectively improved, the quantity of the fixed monitoring equipment 120 is favorably reduced, the total quantity of the fixed monitoring equipment 120 and the motorized monitoring equipment 130 is controlled, the cost is saved, and the utilization rate of the monitoring equipment is improved.

Those of skill in the art will appreciate that the various operations, methods, steps in the processes, acts, or solutions discussed in this application can be interchanged, modified, combined, or eliminated. Further, other steps, measures, or schemes in various operations, methods, or flows that have been discussed in this application can be alternated, altered, rearranged, broken down, combined, or deleted. Further, steps, measures, schemes in the prior art having various operations, methods, procedures disclosed in the present application may also be alternated, modified, rearranged, decomposed, combined, or deleted.

The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.

Claims

1. A method of monitoring mist, comprising:

if the condition of existence of the cluster mist is met, controlling the mechanical monitoring equipment to acquire the characteristic information of the cluster mist;

2. The fog monitoring method of claim 1, wherein the first monitoring information comprises at least one of visibility monitoring information, meteorological element monitoring information, and image monitoring information;

and/or the second monitoring information comprises at least one of visibility monitoring information, meteorological element monitoring information and image monitoring information.

3. The method of claim 2, wherein the determining whether at least one of the first monitored information and the second monitored information satisfies a mist presence condition comprises at least one of:

determining the size relation between visibility monitoring information of at least one of the first monitoring information and the second monitoring information and a fog visibility threshold, and if the visibility monitoring information is not greater than the fog visibility threshold, determining that at least one of the first monitoring information and the second monitoring information meets the fog existence condition;

determining a matching relationship between meteorological element monitoring information of at least one of the first monitoring information and the second monitoring information and a cloud-defined threshold, and if the meteorological element monitoring information is matched with the cloud-defined threshold, determining that at least one of the first monitoring information and the second monitoring information meets the cloud existence condition;

determining a matching relationship between image monitoring information of at least one of the first monitoring information and the second monitoring information and a cloud defined threshold, and if the image monitoring information is matched with the cloud defined threshold, determining that at least one of the first monitoring information and the second monitoring information meets the cloud existence condition.

4. The method according to claim 1, wherein if the mist presence condition is satisfied, the fixed monitoring device is further controlled to acquire mist characteristic information of the mist.

5. The mist cloud monitoring method according to claim 1 or 4, wherein the controlling motorized monitoring device acquiring mist cloud characteristic information of the mist cloud comprises:

controlling a mobile monitoring device to acquire the group fog characteristic information at a first moment;

determining a maneuvering monitoring scheme according to the group fog characteristic information at the first moment;

and controlling the maneuvering monitoring equipment to continuously acquire the feature information of the fog at the second moment according to the maneuvering monitoring scheme.

6. The bolus mist monitoring method of claim 5, wherein the maneuver monitoring protocol comprises: the mobile monitoring equipment moves along a designated line for monitoring;

and/or the maneuvering monitoring equipment stays at a specified position for monitoring, and the maneuvering monitoring equipment is in one-to-one correspondence with the specified position.

7. The bolus mist monitoring method of claim 6, wherein the designated line comprises at least one of:

the specified line takes a set observation point as an origin and is in a radiation line shape towards the periphery;

the designated line directly penetrates through the mist;

the prescribed line curve passes around at least one of an edge of the mist, an interior of the mist, and a perimeter of the mist.

8. The method according to claim 1, wherein the cluster mist characteristic information includes at least one of cluster mist generation area information, cluster mist active area information, cluster mist intensity information, cluster mist image element information, and cluster mist video image information.

9. The method according to claim 8, wherein the determining whether the group mist characteristic information satisfies a group mist warning condition comprises:

determining group fog activity information by adopting at least one of an extrapolation method, an index model method and a numerical simulation method according to the group fog characteristic information;

10. The fog monitoring method of claim 1, wherein before the controlling the fixed monitoring equipment to obtain the first monitoring information of the set monitoring area, the method comprises:

and determining at least one of the group mist generation area, the group mist key generation area, the group mist activity area, the group mist key activity area and the key management area to belong to the set monitoring area.

11. A bolus fog monitoring device, comprising:

the analysis module is used for determining whether at least one of the first monitoring information and the second monitoring information meets a group fog existing condition and determining whether the group fog characteristic information meets a group fog early warning condition;

12. A bolus fog monitoring system, comprising:

the fixed monitoring equipment is arranged in a set monitoring area;

a mobility monitoring device;

a control device in communicative connection with the stationary monitoring device and the motorized monitoring device, respectively, the control device configured to store machine readable instructions that, when executed by the control device, implement the bolus monitoring method of any one of claims 1-10.

13. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the bolus fog monitoring method as defined in any one of claims 1-10.