A method and device for remote sensing monitoring of surface temperature in complex plateau terrain

Abstract

The invention relates to the field of operation warning technology, and in particular to a surface temperature remote sensing monitoring method and device for complex plateau terrain. The method and device analyze a plateau terrain range signal after detecting a plateau terrain monitoring request, use the plateau terrain range signal as a patrol feedback area, obtain an expected spatial range of an engineering vehicle, use a composite type processor to collect signals, analyze a composite type collection memory for clustering, obtain a collection calibration memory, separate attribute parameter values, obtain composite type attribute metadata for attribute association integration, build a plateau terrain temperature detection model in combination with the expected spatial range of the engineering vehicle, collect the corresponding boarding objects of the emergency engineering vehicle at the monitoring object position of the engineering vehicle, and notify the plateau terrain monitoring operation. The method solves the problem in the prior art that the monitoring work requires a long monitoring distance due to the inability to give an early warning, realizes accurate remote sensing of engineering vehicles and early warning of accident risks, and thus improves the technical effect of monitoring efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of plateau early warning, and in particular to a method and device for remote sensing monitoring of surface temperature in complex plateau terrain. Background Art

[0002] With the continuous growth in the number of plateau ground transport vehicles, a dense and complex accident situation has been formed. At the same time, with the development of the logistics supply chain, higher requirements have been placed on the cost and efficiency of plateau ground accident transportation. Coupled with the complex and changeable plateau ground conditions, plateau ground accident transportation has formed contradictions in safety, efficiency and energy saving, resulting in the continuous occurrence of plateau ground accidents.

[0003] However, the existing technology only realizes the path planning of engineering vehicles, but does not consider the influence of characteristic parameters and maneuverability of engineering vehicles on path planning, resulting in low rationality and poor practicality of the engineering vehicle path planning system. Summary of the invention

[0004] The present application provides a method and device for remote sensing monitoring of surface temperature in complex plateau terrain, which solves the problem in the prior art that the monitoring work requires a long time due to the inability to provide early warning, and achieves accurate remote sensing of engineering vehicles and early warning of unexpected risks, thereby improving the technical effect of monitoring efficiency.

[0005] In view of the above problems, the present application provides a surface temperature remote sensing monitoring method for complex plateau terrain.

[0006] First, after detecting the plateau terrain monitoring request, the plateau terrain monitoring range signal is parsed, and at the same time, the current inspection space range of the engineering vehicle is collected, and the engineering vehicle is equipped with the current remote sensing early warning module; through the current inspection space range of the engineering vehicle, the plateau terrain monitoring range signal is used as the inspection feedback area to obtain the expected space range of the engineering vehicle; through the expected space range of the engineering vehicle, a composite type processor is used to collect signals, and the composite type collection memory is parsed, and the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals; the composite type collection memory is clustered, and the composite type collection calibration memory is parsed, and the composite type collection calibration memory includes image calibration signals, satellite calibration signals, and sound calibration signals; the attribute parameter values ​​of the composite type collection calibration memory are separated, and the composite type attribute metadata is parsed; the composite type attribute metadata is attribute-related and integrated, and a plateau terrain temperature detection model is constructed in combination with the expected space range of the engineering vehicle; through the plateau terrain temperature detection model, the monitoring object position of the engineering vehicle is collected, and at the same time, the corresponding boarding object of the emergency engineering vehicle is collected to the monitoring object position of the engineering vehicle to notify the plateau terrain monitoring operation, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal.

[0007] In the second aspect, the present application provides a surface temperature remote sensing monitoring device for complex plateau terrain, and the device includes: an information analysis module: the information analysis module is used to analyze the monitoring plateau terrain range signal after detecting the plateau terrain monitoring request, and at the same time, collect the current inspection space range of the engineering vehicle, and the engineering vehicle is equipped with a current remote sensing early warning module; a remote sensing position collection module: the remote sensing position collection module is used to use the current inspection space range of the engineering vehicle, and use the monitoring plateau terrain range signal as the inspection feedback area to obtain the expected space range of the engineering vehicle; a signal collection module: the signal collection module is used to collect signals using a composite type processor through the expected space range of the engineering vehicle, and analyze the composite type collection memory, and the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals; a signal processing module: the signal processing module is used to The composite type collection memory is clustered and the composite type collection calibration memory is parsed, and the composite type collection calibration memory includes image calibration signals, satellite calibration signals, and sound calibration signals; attribute parameter value separation module: the attribute parameter value separation module is used to separate the attribute parameter values ​​of the composite type collection calibration memory and parse the composite type attribute metadata; integration and splicing module: the integration and splicing module is used to integrate the composite type attribute metadata by attribute association, and construct a plateau terrain temperature detection model in combination with the expected spatial range of the engineering vehicle; remote sensing collection module: the remote sensing collection module is used to collect the monitoring object position of the engineering vehicle through the plateau terrain temperature detection model, and at the same time, collect the corresponding boarding objects of the emergency engineering vehicle from the monitoring object position of the engineering vehicle to notify the plateau terrain monitoring operation, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The embodiment of the present application provides a method and device for remote sensing monitoring of surface temperature for complex plateau terrain. After detecting a plateau terrain monitoring request, the signal for monitoring the range of plateau terrain is analyzed, and the current inspection space range of the engineering vehicle is collected at the same time. Then, the signal for monitoring the range of plateau terrain is used as the inspection feedback area to obtain the expected space range of the engineering vehicle. Then, a composite type processor is used for signal collection, and the composite type collection memory is analyzed, wherein the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals. The composite type collection memory is clustered to obtain a composite type collection calibration memory, and then the composite type collection calibration memory is separated from the attribute parameter value to obtain the composite type attribute metadata. The composite type attribute metadata is attribute-related and integrated, and a plateau terrain temperature detection model is constructed in combination with the expected space range of the engineering vehicle, and the monitoring object position of the engineering vehicle is collected. At the same time, the corresponding boarding object of the emergency engineering vehicle is collected from the monitoring object position of the engineering vehicle to notify the plateau terrain monitoring operation. The problem that the monitoring work in the prior art takes a long time to monitor the distance due to the inability to make early warning in advance is solved, and the accurate remote sensing of engineering vehicles and early warning of accidental risks are achieved, thereby improving the technical effect of monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram of the flow of a remote sensing monitoring method for surface temperature in complex plateau terrain is provided for this application;

[0011] Figure 2 This application provides a schematic diagram of a process for separating attribute parameter values ​​using a composite type collection and calibration memory in a surface temperature remote sensing monitoring method for complex plateau terrain;

[0012] Figure 3 This application provides a schematic diagram of the process of sending a safe lane change message to engineering vehicles on a recommended route in a surface temperature remote sensing monitoring method for complex plateau terrain;

[0013] Figure 4 A schematic diagram of the structure of a surface temperature remote sensing monitoring device for complex plateau terrain is provided for this application.

[0014] Explanation of the reference numerals: information analysis module a, remote sensing position collection module b, signal collection module c, signal processing module d, attribute parameter value separation module e, integration and splicing module f, remote sensing collection module g. DETAILED DESCRIPTION

[0015] The present application provides a surface temperature remote sensing monitoring method for complex plateau terrain. After detecting a plateau terrain monitoring request, the plateau terrain range signal is analyzed and monitored, and the current inspection spatial range of the engineering vehicle is collected. Then, the plateau terrain range signal is used as the inspection feedback area to obtain the expected spatial range of the engineering vehicle. Then, a composite type processor is used for signal collection, and the composite type collection memory is analyzed, wherein the composite type collection memory includes an image collection signal, a satellite collection signal, and a sound collection signal. The composite type collection memory is clustered to obtain a composite type collection calibration memory, and then the composite type collection calibration memory is separated from the attribute parameter value to obtain the composite type attribute metadata. The composite type attribute metadata is attribute-related and integrated. A plateau terrain temperature detection model is constructed in combination with the expected spatial range of the engineering vehicle, and the monitoring object position of the engineering vehicle is collected. At the same time, the boarding object corresponding to the emergency engineering vehicle is collected from the monitoring object position of the engineering vehicle to notify the plateau terrain monitoring operation. The problem that the monitoring work in the prior art requires a long monitoring journey due to the inability to give an early warning is solved, and the accurate remote sensing of the engineering vehicle and the early warning of the unexpected risk are achieved, thereby improving the technical effect of improving the monitoring efficiency.

[0016] Embodiment 1

[0017] like Figure 1 As shown, the present application provides a surface temperature remote sensing monitoring method for complex plateau terrain, the method comprising:

[0018] Step S100: After detecting the plateau terrain monitoring request, analyze the monitoring plateau terrain range signal, and at the same time, collect the current inspection space range of the engineering vehicle, and the engineering vehicle is equipped with the current remote sensing early warning module;

[0019] Specifically, the plateau terrain monitoring range signal refers to the location information that needs to be monitored and the operating conditions around the monitoring location. Engineering vehicles include engineering vehicles and other engineering vehicles that perform plateau terrain monitoring operations. After receiving the plateau terrain monitoring request, the plateau terrain monitoring range signal is first parsed and the remote sensing positions of all engineering vehicles in the inspection state are collected. The inspection status includes no operation and a single operation is completed and the secondary operation can be performed directly (not including the situation where the conditions for performing the secondary operation are not met), and the current remote sensing early warning module equipped with the engineering vehicle is always powered on. The collection of the current inspection space range of the engineering vehicle provides a signal basis for the subsequent analysis of the composite type collection memory.

[0020] Step S200: using the current inspection spatial range of the engineering vehicle and the monitored plateau terrain range signal as the inspection feedback area, the expected spatial range of the engineering vehicle is obtained;

[0021] Specifically, the remote sensing information of the monitoring plateau terrain range is used as the center of the circle, and the distance between the remote sensing of the engineering vehicle in the current inspection space range of the engineering vehicle and the center of the circle is used as the radius. The decision is made within the current inspection space range of the engineering vehicle, and the current inspection remote sensing position of the engineering vehicle within a radius of 5 kilometers is collected and organized into the expected spatial range of the engineering vehicle. The collection of the expected spatial range of the engineering vehicle provides a signal basis for the subsequent analysis of the composite type collection memory.

[0022] Step S300: using a composite type processor to collect signals through the expected spatial range of the engineering vehicle, and parsing a composite type collection memory, wherein the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals;

[0023] Specifically, the composite type refers to a composite type system, which is composed of two or more processors with different characteristics integrated on a hardware platform, where processors with different characteristics are called type processors, and the composite type processor is a processor with multiple different characteristics. The signal collected by the composite type processor is called a composite type collection memory. The signals collected by processors with multiple different characteristics are also different, that is, the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals. The analysis of the composite type collection memory provides a signal basis for the subsequent clustering of the composite type collection memory and the analysis of the composite type collection calibration memory.

[0024] Step S400: clustering the composite type collection memory and parsing the composite type collection calibration memory, wherein the composite type collection calibration memory includes an image calibration signal, a satellite calibration signal, and a sound calibration signal;

[0025] Specifically, signal clustering refers to the denoising, filtering, calibration and other processing of the collected composite type collection memory to improve the quality and availability of the signal. By clustering the composite type collection memory, a composite type collection calibration memory is obtained. The composite type collection calibration memory and the image collection signal, satellite collection signal and sound collection signal in the composite type collection memory correspond to the image calibration signal, satellite calibration signal and sound calibration signal respectively. The analysis of the composite type collection calibration memory provides a signal basis for the subsequent separation of attribute parameter values ​​of the composite type collection calibration memory and the analysis of composite type attribute metadata.

[0026] Step S500: separating the attribute parameter values ​​of the composite type collection calibration memory and parsing the composite type attribute metadata;

[0027] Specifically, attribute parameter value separation refers to extracting different features according to the characteristics of different processors, such as the RGB, size, and driving speed of engineering vehicles in images, the distance and speed of monitoring objects in satellites, and the heat of monitoring objects in sounds. The features extracted by different processors are integrated to parse the composite attribute metadata.

[0028] Step S600: integrating the composite attribute metadata by attribute association, and building a plateau terrain temperature detection model in combination with the expected spatial range of the engineering vehicle;

[0029] Specifically, attribute association integration refers to splicing the features of different processors together as a new feature vector. There are four types of composite type feature integration methods: feature-level integration, decision-level integration, hybrid-level integration, and model-level integration. Taking feature-level integration as an example, feature-level integration means connecting the features extracted from different types into a single high-dimensional feature vector immediately after extraction. The three features are connected to obtain the integrated features, and then the integrated features are input into MLP and softmax for classification to obtain the classification results. The classification results are combined with the expected spatial range of engineering vehicles to construct a plateau terrain temperature detection model. The construction of the plateau terrain temperature detection model provides a basis for the subsequent monitoring of the location of engineering vehicles.

[0030] Step S700: The monitoring object position of the engineering vehicle is collected through the plateau terrain temperature detection model. At the same time, the corresponding boarding object of the emergency engineering vehicle is collected to the monitoring object position of the engineering vehicle to notify the plateau terrain monitoring operation, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal.

[0031] Specifically, the plateau terrain temperature detection model can be used to collect the monitoring object location of engineering vehicles, and notify the emergency engineering vehicle boarding objects at the monitoring object location of the plateau terrain monitoring operation. The plateau terrain monitoring operation includes monitoring the location information of the plateau terrain range, monitoring the operation conditions around the plateau terrain range, and monitoring the current critical conditions of the plateau terrain range. It is recommended that engineering vehicles can prepare for the monitoring operation in advance according to the plateau terrain monitoring operation to better respond to the monitoring. The construction of the plateau terrain temperature detection model can improve the overall efficiency, enable faster response and processing of monitoring conditions, and greatly improve the success rate of monitoring.

[0032] Furthermore, if Figure 2 As shown, step S500 of the present application also includes:

[0033] Step S510: collecting the image calibration signal in the calibration memory through the composite type, parsing the first type attribute metadata, the first type attribute metadata including engineering vehicle RGB attribute metadata, engineering vehicle size attribute metadata, and plateau terrain monitoring image attribute metadata;

[0034] Step S520: collecting satellite calibration signals in the calibration memory through the composite type, parsing second type attribute metadata, where the second type attribute metadata includes monitoring object distance attribute metadata and engineering vehicle speed attribute metadata;

[0035] Step S530: collecting the sound calibration signal in the calibration memory by the composite type and parsing the third type attribute metadata;

[0036] Step S540: Parse the composite type attribute metadata by combining the first type attribute metadata, the second type attribute metadata, and the third type attribute metadata.

[0037] Specifically, the image calibration signal in the composite type collection calibration memory is extracted and used as the first type attribute metadata. The first type attribute metadata is collected by the image frequency processor module of the composite type sensor signal, including the engineering vehicle RGB attribute metadata, the engineering vehicle size attribute metadata, and the plateau terrain monitoring image attribute metadata. The satellite calibration signal in the composite type collection calibration memory is extracted, and the extracted signal is used as the second type attribute metadata. The second type attribute metadata is collected by the satellite processor module of the composite type sensor signal, including the monitoring object distance attribute metadata and the engineering vehicle speed attribute metadata. The sound calibration signal in the composite type collection calibration memory is extracted, and the extracted signal is used as the third type attribute metadata. The third type attribute metadata is collected by the sound sensor module of the composite type sensor signal. The first type attribute metadata, the second type attribute metadata, and the third type attribute metadata obtained by separating the attribute parameter values ​​are integrated together to obtain the composite type attribute metadata. The analysis of the composite type attribute metadata provides a signal basis for the subsequent attribute association and integration of the composite type attribute metadata.

[0038] Furthermore, if Figure 3 As shown, step S500 of the present application also includes:

[0039] Step S550: if there is an accident risk in the route corresponding to the distance attribute metadata of the monitoring object, analyzing the accident risk driving length and the accident risk warning value;

[0040] Step S560: parsing the recommended route of the emergency engineering vehicle at the accident risk, wherein the recommended route is any one of turning left, turning right, going straight, and turning around;

[0041] Step S570: After the emergency engineering vehicle reaches a distance that satisfies the accident risk and satisfies the safe lane change range, a safe lane change message is sent to engineering vehicles on the recommended route.

[0042] Specifically, according to the accident on the route corresponding to the distance attribute metadata of the monitoring object in the second type attribute metadata, the accident risk information is parsed, the partial driving length of the accident risk and the time signal generated by passing the accident risk are parsed, and the route that allows the engineering vehicle to pass quickly in the accident risk is parsed. The purpose of parsing the route is to quickly pass the accident risk, and there is no need to consider the route driving rules and navigation route planning. The parsed route can be any of left turn, right turn, straight, and U-turn. The parsed route is called the recommended route. When the engineering vehicle travels to the safe lane change range of the accident risk, a safe lane change message is sent to the engineering vehicle on the recommended route. Different types of engineering vehicles send different safe lane change messages. The safe lane change message corresponding to 120 is an emergency alarm, and the fire alarm corresponds to the fire alarm of the fire alarm. After receiving the safe lane change message, the engineering vehicle avoids and provides a channel for the engineering vehicle to pass quickly. The parsing of the recommended route greatly reduces the time required for emergency engineering vehicles to pass the accident risk and improves the overall efficiency.

[0043] Furthermore, step S570 of the present application also includes:

[0044] Step S571: After the emergency engineering vehicle travels to a distance where the accident risk meets the safe lane change range, the emergency engineering vehicle sends a microwave signal short-time transmission request;

[0045] Step S572: The engineering vehicle on the suggested route establishes a short-term connection with the emergency engineering vehicle through a short-term transmission communication protocol;

[0046] Step S573: the emergency engineering vehicle sends a safety lane change message to the engineering vehicles on the suggested route, and the engineering vehicles on the suggested route disconnect after receiving the safety lane change message.

[0047] Specifically, when the engineering vehicle is within the safe line change range of the accident risk, the engineering vehicle sends a microwave signal short-term transmission request to the engineering vehicle on the accident risk route, wherein the microwave signal can cover 5-10 kilometers, and the microwave signal device is simple, low-priced and low-maintenance, and the microwave signal coverage is large enough to meet the required conditions. Through the short-term transmission communication protocol, a short-term connection is established with the engineering vehicle on the recommended route. The short-term connection does not require the consent of the engineering vehicle on the route to communicate, and the transmission information and time are limited, which not only ensures the efficiency of the engineering vehicle, but also ensures the safety of the information communication of the engineering vehicle on the route. After establishing the short-term connection, the emergency engineering vehicle sends a safe line change message to the engineering vehicle on the recommended route, and the engineering vehicle on the recommended route disconnects after receiving the safe line change message. The use of short connection can establish a connection when there is signal interaction between the two communicating parties, and disconnect this connection after the signal is sent, that is, each connection only completes the sending of one business, does not need to occupy the channel for a long time, can save the use of the channel and improve the overall work efficiency.

[0048] Furthermore, step S570 of the present application also includes:

[0049] Step S574: before the engineering vehicle on the suggested route establishes a short-term connection with the emergency engineering vehicle, the microwave signal is used as a communication network to collect the type and frequency band of the microwave signal used;

[0050] Step S575: According to the microwave signal type and frequency band, the microwave relay station of the device is configured, and the microwave relay station includes a receiving antenna ID, a routing path, and a vehicle heartbeat signal.

[0051] Step S576: After the engineering vehicle on the recommended route establishes a short-term connection with the emergency engineering vehicle, the short-term transmission channel is closed and the maintenance recovery request is parsed. The maintenance recovery request includes a channel release operation request, a cache clear operation request, a network disconnect operation request, and a space load recovery operation request.

[0052] Specifically, microwave signals are used as communication networks based on the second-generation mobile phone communication technology specifications, with digital voice transmission technology as the core, and the rate can reach 10kbps, with a peak rate of 100kbps, and the network layer transmission layer microwave relay station includes the receiving antenna ID, routing path, and vehicle heartbeat signal configuration. The microwave repeater, that is, the transmission control / network protocol, is also called the network communication protocol. It is the most basic communication protocol in the use of the network. The microwave repeater can ensure the timely and complete transmission of network signal information. After the engineering vehicle on the recommended route establishes a short-term connection with the emergency engineering vehicle, a short-term microwave signal transmission request is sent. After the engineering vehicle on the recommended route detects the safety line change message, the short-term transmission channel is closed, the short-term connection with the engineering vehicle on the recommended route is disconnected, and the maintenance request is started. The maintenance request is specifically to release the transmission channel. Before closing the signal transmission channel, the channel needs to be released so that other devices can use the channel for signal transmission; clear the cache operation request, clear the cache, when closing the signal transmission channel, the cache needs to be cleared to ensure that there will be no conflict or error in the next signal transmission; disconnect the network connection operation request, when closing the signal transmission channel, the network connection needs to be disconnected to release the network space load; reclaim the space load operation request, release the memory, close the file handle, and destroy the object. The parsing of the maintenance recovery request can improve the overall efficiency without occupying the system memory, reduce the cost of use, and prepare for the possibility of unexpected risks again in the future.

[0053] Furthermore, step S570 of the present application also includes:

[0054] Step S577: Sharing the plateau terrain monitoring operation with the ground control department, and synchronously collecting images and analyzing the safe lane change image information during the safe lane change period of the engineering vehicle on the recommended route;

[0055] Step S578: judging whether to release the engineering vehicle on the suggested route normally based on the safety lane change image information;

[0056] Step S579: Determine whether to perform abnormal warning processing on the engineering vehicle on the recommended route through the safe lane change image information.

[0057] Specifically, the plateau terrain monitoring operation is sent to the ground control department synchronously, and the illegal camera captures the engineering vehicles on the recommended route during the safe lane change period, and the result is the safe lane change image information. Due to illegal operation behaviors such as crossing the line, driving in the opposite direction, occupying the bus route, occupying the non-motorized route, etc. caused by avoiding emergency engineering vehicles, the ground control department will make a judgment based on the safe lane change image information of the emergency special engineering vehicles to decide whether to eliminate the illegal record. That is, the engineering vehicles on the recommended route are identified and processed by the safe lane change image information. For example, the identification and processing of the collision behavior is that when the intersection operation warning buoy is a dangerous buoy, the image of the engineering vehicle that crosses the dangerous edge of the waiting area is collected, and the image of the opposite dangerous edge is collected. If the image of the engineering vehicle is not collected at the opposite dangerous edge, it is judged that the engineering vehicle has crossed the dangerous edge of the waiting area due to avoiding engineering vehicles, but there is no collision behavior, and the engineering vehicle is identified and processed. If the accident is caused by the engineering vehicle avoiding an emergency engineering vehicle, it will be identified and handled. If the accident is not caused by the engineering vehicle avoiding an emergency engineering vehicle, it will still be handled as an accident. In addition to accidents caused by avoiding emergency engineering vehicles, there are also cases of obstructing emergency engineering vehicles. The behavior of obstructing emergency engineering vehicles will be judged, and if it is judged to be in compliance, it will be punished. The analysis of safe lane change image information can greatly reduce accidents caused by avoiding emergency engineering vehicles and make the accident handling of avoiding emergency engineering vehicles more reasonable.

[0058] Embodiment 2

[0059] By using the same inventive concept as the method for remote sensing monitoring of surface temperature for complex plateau terrain in the aforementioned embodiment, Figure 4 As shown, the present application provides a surface temperature remote sensing monitoring device for complex plateau terrain, the device comprising:

[0060] Information analysis module a: the information analysis module a is used to analyze the monitoring plateau terrain range signal after detecting the plateau terrain monitoring request, and at the same time, collect the current inspection space range of the engineering vehicle, and the engineering vehicle is equipped with the current remote sensing early warning module;

[0061] Remote sensing position collection module b: the remote sensing position collection module b is used to obtain the expected spatial range of the engineering vehicle through the current inspection spatial range of the engineering vehicle and the monitoring plateau terrain range signal as the inspection feedback area;

[0062] Signal collection module c: the signal collection module c is used to collect signals through the expected spatial range of the engineering vehicle using a composite type processor and parse a composite type collection memory, wherein the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals;

[0063] Signal processing module d: the signal processing module d is used to cluster the composite type collection memory and parse the composite type collection calibration memory, wherein the composite type collection calibration memory includes an image calibration signal, a satellite calibration signal, and a sound calibration signal;

[0064] Attribute parameter value separation module e: the attribute parameter value separation module e is used to separate the attribute parameter values ​​of the composite type collection calibration memory and parse the composite type attribute metadata;

[0065] Integration and splicing module f: the integration and splicing module f is used to integrate the composite type attribute metadata by attribute association, and to build a plateau terrain temperature detection model in combination with the expected spatial range of the engineering vehicle;

[0066] Remote sensing collection module g: The remote sensing collection module g is used to collect the location of the engineering vehicle monitoring object through the plateau terrain temperature detection model. At the same time, it collects the boarding objects corresponding to the emergency engineering vehicles from the engineering vehicle monitoring object location to notify the plateau terrain monitoring operation, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal.

[0067] Furthermore, the device also includes:

[0068] The first type attribute metadata parsing module: The first type attribute metadata parsing module is used to collect the image calibration signal in the calibration memory through the composite type, and parse the first type attribute metadata, wherein the first type attribute metadata includes engineering vehicle RGB attribute metadata, engineering vehicle size attribute metadata, and plateau terrain monitoring image attribute metadata;

[0069] Second type attribute metadata parsing module: The second type attribute metadata parsing module is used to collect satellite calibration signals in the calibration memory through the composite type, and parse second type attribute metadata, wherein the second type attribute metadata includes monitoring object distance attribute metadata and engineering vehicle speed attribute metadata;

[0070] The third type attribute metadata parsing module: the third type attribute metadata parsing module is used to parse the third type attribute metadata by collecting the sound calibration signal in the calibration memory through the composite type;

[0071] Composite type attribute metadata parsing module: The composite type attribute metadata parsing module is used to parse the composite type attribute metadata by combining the first type attribute metadata, the second type attribute metadata, and the third type attribute metadata.

[0072] Accident risk module: The accident risk module is used to further, if the route corresponding to the distance attribute metadata of the monitoring object has an accident risk, analyze the accident risk driving length and the accident risk warning value;

[0073] Suggested route analysis module: The suggested route analysis module is used to analyze the suggested route of the emergency engineering vehicle in the accident risk, and the suggested route is any one of left turn, right turn, straight ahead, and U-turn;

[0074] Avoidance message sending module: The avoidance message sending module is used to send a safe lane change message to the engineering vehicles on the recommended route after the emergency engineering vehicle travels to a distance that satisfies the safe lane change range of the accident risk.

[0075] Furthermore, the device also includes:

[0076] Short-time transmission request emergency module: The short-time transmission request emergency module is used for the emergency engineering vehicle to send a microwave signal short-time transmission request after the emergency engineering vehicle travels to a distance where the accident risk meets the safe lane change range;

[0077] Short-time connection module: The short-time connection module is used for the engineering vehicles on the suggested route to establish a short-time connection with the emergency engineering vehicles through a short-time transmission communication protocol;

[0078] Disconnection module: The disconnection module is used for the emergency engineering vehicle to send a safety lane change message to the engineering vehicle on the recommended route, and the engineering vehicle on the recommended route disconnects after receiving the safety lane change message.

[0079] Furthermore, the device also includes:

[0080] Network communication networking module: The network communication networking module is used to use microwave signals as communication networking and collect the type and frequency band of microwave signals used before the engineering vehicles on the proposed route establish a short-term connection with the emergency engineering vehicles;

[0081] Configuration protocol parameter module: The configuration protocol parameter module is used to configure the microwave relay station of the device according to the microwave signal type and frequency band. The microwave relay station includes a receiving antenna ID, a routing path, and a vehicle heartbeat signal.

[0082] Furthermore, the device also includes:

[0083] Maintenance recovery request module: The maintenance recovery request module is used to close the short-term transmission channel and parse the maintenance recovery request after the engineering vehicle on the recommended route establishes a short-term connection with the emergency engineering vehicle. The maintenance recovery request includes a channel release operation request, a cache clear operation request, a network disconnection operation request, and a space load recovery operation request.

[0084] Furthermore, the device also includes:

[0085] Safety lane-changing image information parsing module: The safety lane-changing image information parsing module is used to share the plateau terrain monitoring operation with the ground control department, and synchronously collect images and parse safety lane-changing image information during the safety lane-changing period of the engineering vehicle on the recommended route;

[0086] Normal release processing module: The normal release processing module is used to determine whether to perform normal release processing on the engineering vehicle on the recommended route through the safety lane change image information;

[0087] Abnormal warning processing module: The abnormal warning processing module is used to determine whether to perform abnormal warning processing on the engineering vehicle on the recommended route through the safe lane change image information.

[0088] Those skilled in the art will appreciate that the contents disclosed in this disclosure may be subject to various modifications and improvements. For example, the various devices or components described above may be implemented through hardware, or through software, firmware, or a combination of some or all of the three.

[0089] Flowcharts are used in this disclosure to illustrate the steps of the method according to the embodiments of the present disclosure. It should be understood that the preceding or following steps are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes.

[0090] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by requesting relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module / unit in the above embodiment can be implemented in the form of hardware or in the form of a software functional module. The present disclosure is not limited to any particular form of combination of hardware and software.

[0091] Unless otherwise defined, all terms used herein have the same meaning as commonly understood by the common technical subjects in the field to which the present disclosure belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0092] The above is an explanation of the present disclosure and should not be considered as a limitation thereof. Although several exemplary embodiments of the present disclosure are described, those skilled in the art will readily appreciate that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present disclosure. Therefore, all such modifications are intended to be included within the scope of the present disclosure as defined in the claims. It should be understood that the above is an explanation of the present disclosure and should not be considered to be limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present disclosure is defined by the claims and their equivalents.

[0093] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0094] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A remote sensing monitoring method for surface temperature in complex plateau terrain, characterized in that: include: After detecting the plateau terrain monitoring request, the plateau terrain range signal is analyzed and monitored. At the same time, the current inspection space range of the engineering vehicle is collected. The engineering vehicle is equipped with the current remote sensing early warning module; The expected spatial range of the engineering vehicle is obtained by using the current inspection spatial range of the engineering vehicle and the monitoring plateau terrain range signal as the inspection feedback area; Using a composite type processor to collect signals through the expected spatial range of the engineering vehicle, and parsing a composite type collection memory, wherein the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals; Clustering the composite type collection memory and parsing the composite type collection calibration memory, wherein the composite type collection calibration memory includes an image calibration signal, a satellite calibration signal, and a sound calibration signal; Separating attribute parameter values ​​of the composite type collection calibration memory and parsing composite type attribute metadata; The composite type attribute metadata is integrated by attribute association, and a plateau terrain temperature detection model is constructed in combination with the expected spatial range of the engineering vehicle; The plateau terrain temperature detection model is used to collect the position of the engineering vehicle monitoring object, and at the same time, the plateau terrain monitoring operation is notified to the boarding object corresponding to the emergency engineering vehicle collected at the engineering vehicle monitoring object position, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal; The attribute association integration combines the features of different processors as a new feature vector. When feature-level integration is used, the features extracted from different types are immediately connected into a single high-dimensional feature vector after extraction. The three features are connected to obtain the integrated features, and the integrated features are input into MLP and softmax for classification to obtain the classification results. The classification results and the expected spatial range of engineering vehicles are used together to construct a plateau terrain temperature detection model; The plateau terrain temperature detection model is used to collect the monitoring object positions of engineering vehicles, and the emergency engineering vehicle passengers at the monitoring object positions are notified of the plateau terrain monitoring operation. The plateau terrain monitoring operation includes monitoring the location information of the plateau terrain range, monitoring the operating conditions around the plateau terrain range, and monitoring the current critical conditions within the plateau terrain range. It is recommended that engineering vehicles make advance preparations for the monitoring operation based on the plateau terrain monitoring operation.

2. A remote sensing monitoring method for surface temperature in a plateau with complex terrain as claimed in claim 1, characterized in that: The method of separating the attribute parameter values ​​of the composite type collection calibration memory and parsing the composite type attribute metadata comprises: The image calibration signal in the calibration memory is collected by the composite type, and the first type of attribute metadata is parsed, where the first type of attribute metadata includes engineering vehicle RGB attribute metadata, engineering vehicle size attribute metadata, and plateau terrain monitoring image attribute metadata; Collect satellite calibration signals in the calibration memory by using the composite type, and parse the second type attribute metadata, where the second type attribute metadata includes monitoring object distance attribute metadata and engineering vehicle speed attribute metadata; Collecting the sound calibration signal in the calibration memory through the composite type, parsing the third type attribute metadata; The composite type attribute metadata is parsed by combining the first type attribute metadata, the second type attribute metadata, and the third type attribute metadata.

3. A remote sensing monitoring method for surface temperature in a plateau with complex terrain as claimed in claim 2, characterized in that: The method further comprises: If there is an accident risk on the route corresponding to the distance attribute metadata of the monitoring object, analyzing the accident risk driving length and the accident risk warning value; Analyze the recommended route of the emergency engineering vehicle in the accident risk, where the recommended route is any one of turning left, turning right, going straight, and turning around; After the emergency engineering vehicle travels to a distance where the accident risk satisfies the safe lane change range, a safe lane change message is sent to engineering vehicles on the suggested route.

4. A method for remote sensing monitoring of surface temperature in complex plateau terrain as claimed in claim 3, characterized in that: After the emergency engineering vehicle travels to a distance where the accident risk meets the safe lane change range, sending a safe lane change message to the engineering vehicles on the recommended route, the method includes: After the emergency engineering vehicle travels to a distance where the accident risk meets the safe lane change range, the emergency engineering vehicle sends a microwave signal short-time transmission request; The engineering vehicles on the proposed route establish a short-term connection with the emergency engineering vehicles through a short-term transmission communication protocol; The emergency engineering vehicle sends a safety lane change message to the engineering vehicles on the suggested route, and the engineering vehicles on the suggested route disconnect after receiving the safety lane change message.

5. A remote sensing monitoring method for surface temperature in a plateau with complex terrain as claimed in claim 4, characterized in that: The method further comprises: Before the engineering vehicles on the proposed route establish a short-term connection with the emergency engineering vehicles, microwave signals are used as communication networking to collect the type and frequency band of microwave signals used; According to the microwave signal type and frequency band, a microwave relay station of the device is configured, and the microwave relay station includes a receiving antenna ID, a routing path, and a vehicle heartbeat signal.

6. A method for remote sensing monitoring of surface temperature in a plateau with complex terrain as claimed in claim 4, characterized in that: The method further comprises: After the engineering vehicle on the recommended route establishes a short-term connection with the emergency engineering vehicle, the short-term transmission channel is closed and the maintenance recovery request is parsed. The maintenance recovery request includes a channel release operation request, a cache clear operation request, a network disconnection operation request, and a space load recovery operation request.

7. A remote sensing monitoring method for surface temperature in complex plateau terrain as claimed in claim 6, characterized in that: The method comprises: The plateau terrain monitoring operation is shared with the ground control department, and during the safe lane change period of the engineering vehicle on the recommended route, images are collected and the safe lane change image information is analyzed; Determine whether to release the engineering vehicle on the recommended route normally based on the safe lane change image information; The safe lane-changing image information is used to determine whether to perform abnormal warning processing on the engineering vehicle on the recommended route.

8. A surface temperature remote sensing monitoring device for complex plateau terrain, characterized in that: The device comprises: Information analysis module: The information analysis module is used to analyze the monitoring plateau terrain range signal after detecting the plateau terrain monitoring request, and at the same time, collect the current inspection space range of the engineering vehicle, and the engineering vehicle is equipped with the current remote sensing early warning module; Remote sensing position collection module: The remote sensing position collection module is used to obtain the expected spatial range of the engineering vehicle through the current inspection spatial range of the engineering vehicle and the monitoring plateau terrain range signal as the inspection feedback area; Signal collection module: The signal collection module is used to collect signals using a composite type processor through the expected spatial range of the engineering vehicle, and parse the composite type collection memory, wherein the composite type collection memory includes image collection signals, satellite collection signals, and sound collection signals; Signal processing module: the signal processing module is used to cluster the composite type collection memory and parse the composite type collection calibration memory, wherein the composite type collection calibration memory includes an image calibration signal, a satellite calibration signal, and a sound calibration signal; Attribute parameter value separation module: the attribute parameter value separation module is used to separate the attribute parameter values ​​of the composite type collection calibration memory and parse the composite type attribute metadata; Integration and splicing module: the integration and splicing module is used to integrate the composite type attribute metadata by attribute association, and to build a plateau terrain temperature detection model in combination with the expected spatial range of the engineering vehicle; Remote sensing collection module: The remote sensing collection module is used to collect the position of the engineering vehicle monitoring object through the plateau terrain temperature detection model, and at the same time, notify the boarding object corresponding to the emergency engineering vehicle collected at the engineering vehicle monitoring object position of the plateau terrain monitoring operation, and the plateau terrain monitoring operation includes monitoring the plateau terrain range signal; The attribute association integration combines the features of different processors as a new feature vector. When feature-level integration is used, the features extracted from different types are immediately connected into a single high-dimensional feature vector after extraction. The three features are connected to obtain the integrated features, and the integrated features are input into MLP and softmax for classification to obtain the classification results. The classification results and the expected spatial range of engineering vehicles are used together to construct a plateau terrain temperature detection model; The monitoring object position of engineering vehicles is collected through the plateau terrain temperature detection model, and the emergency engineering vehicle boarding objects at the monitoring object position are notified of the plateau terrain monitoring operation. The plateau terrain monitoring operation includes monitoring the location information of the plateau terrain range, monitoring the operation conditions around the plateau terrain range, and monitoring the current critical conditions of the plateau terrain range. It is recommended that engineering vehicles make advance preparations for monitoring operations based on the plateau terrain monitoring operation; The device for remote sensing monitoring of surface temperature for complex plateau terrain is used to execute the method for remote sensing monitoring of surface temperature for complex plateau terrain as described in any one of claims 2 to 7.

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