CN116006411A - Remote monitoring and alarming system for offshore wind power emergency refuge cabin - Google Patents
Remote monitoring and alarming system for offshore wind power emergency refuge cabin Download PDFInfo
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Abstract
The invention provides a remote monitoring and alarming system of an offshore wind power emergency risk avoidance cabin. The scheme of the invention can process emergency avoidance events timely and efficiently, and ensure personnel safety.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a remote monitoring and alarming system of an offshore wind power emergency refuge cabin.
Background
Compared with the land wind power, the offshore wind power has the unique advantages of more stable wind energy resources, more considerable development scale, more efficient power generation efficiency, more saved land utilization, more convenient power grid access and the like. The development of offshore wind power technology has gradually become an important component in an energy supply system, and more fans of up to seventy-eight meters are distributed on the sea to form an offshore wind farm for converting wind energy into electric energy. However, the offshore environment is complex, and particularly in the case of being far away from the coast, the difficulty of self-rescue is extremely high once the offshore workers encounter danger.
The danger avoiding cabin is equipment capable of providing an emergency danger for people, can temporarily protect life safety of people to the greatest extent when danger comes, and can utilize existing fan facilities with wider distribution to set up the offshore emergency danger avoiding cabin on a fan platform for improving survival probability of offshore wind power operation and maintenance personnel or other offshore workers when encountering danger at sea.
Because the offshore wind farm site is generally far away from inland, the offshore wind farm site is greatly limited by weather environment and vehicles, the offshore emergency refuge cabin equipment is safely monitored, and emergency alarm, rapid rescue and the like are provided for offshore operators.
Disclosure of Invention
Based on the problems, the invention provides a remote monitoring and alarming system for an offshore wind power emergency refuge cabin, and the scheme of the invention can be used for timely and efficiently processing emergency refuge events to ensure personnel safety.
In view of this, an aspect of the present invention proposes a remote monitoring and alarming system for an offshore wind power emergency refuge cabin, comprising: a blower; the system comprises an danger avoiding cabin arranged on the fan, a microprocessor, a first positioning module used for acquiring first position information of the fan, a first monitoring module and a first communication module used for receiving and sending data; the second positioning module, the second monitoring module, the control processing module and the second communication module are arranged in the risk avoiding cabin and used for acquiring second position information of the risk avoiding cabin; the system comprises a remote monitoring platform, an emergency treatment platform and an emergency treatment terminal; wherein,,
The first monitoring module is configured to: monitoring first environment data of the position of the fan and first operation data of the fan, and sending the first environment data and the first operation data to the microprocessor;
the microprocessor is configured to:
determining whether an event of risk avoidance exists according to the first environmental data and the first operation data;
when the risk avoidance event exists, sending a portrait acquisition instruction to the first monitoring module;
the first monitoring module is configured to: based on a portrait identification algorithm, acquiring first portrait image data, and transmitting the first portrait image data to the microprocessor;
the microprocessor is configured to:
performing face recognition according to the first person image data, and obtaining first person feature data according to a face recognition result;
generating first control data according to the first person feature data, the first environment data and the first operation data;
the first communication module and the second communication module are used for sending the first control data to the control processing module of the risk avoidance cabin so as to control the risk avoidance cabin to perform initialization operation;
Transmitting the first environment data, the first operation data, the first position information and the first person characteristic data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to:
obtaining a first emergency risk avoiding grade, first alarm information and a first emergency processing scheme according to the first environment data, the first operation data, the first position information and the first person characteristic data;
transmitting the first emergency risk avoidance level, the first alarm information and the first emergency processing scheme to the emergency processing platform;
the emergency treatment platform is configured to:
selecting a corresponding first emergency processing terminal from the emergency processing terminals according to the first emergency risk avoiding level, the first alarm information and the first emergency processing scheme;
transmitting the first emergency processing scheme to the first emergency processing terminal;
the first emergency processing terminal is configured to: and navigating to the fan position and executing the first emergency treatment scheme.
Optionally, the first monitoring module is further configured to: acquiring first risk avoiding cabin data of the risk avoiding cabin, and sending the first risk avoiding cabin data to the microprocessor;
The microprocessor is configured to: preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to:
evaluating the risk avoidance cabin according to the second risk avoidance cabin data to obtain first evaluation data;
judging whether the risk avoidance cabin has a first type of abnormality according to the first evaluation data, and if so, sending the first evaluation data to the emergency processing platform;
the emergency treatment platform is configured to: and detecting and maintaining the risk avoidance cabin according to the first evaluation data.
Optionally, the second monitoring module is configured to: collecting first cabin data in the risk avoidance cabin and sending the first cabin data to the control processing module;
the control processing module is configured to:
processing the first cabin data to determine whether danger avoidance personnel exist in the danger avoidance cabin;
when danger avoidance personnel exist, sending a character data acquisition instruction to the second monitoring module;
the second monitoring module is configured to: receiving the character image acquisition instruction, acquiring first character data, and sending the first character data to the microprocessor through the second communication module and the first communication module;
The microprocessor is configured to: determining first physiological data of the risk avoidance personnel according to the first biological data, and sending the first physiological data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to: generating a first adjustment instruction and first health diagnosis data according to the first physiological data; transmitting the first adjustment instruction to the first communication module; transmitting the first health diagnostic data to the emergency processing platform;
the emergency treatment platform is configured to: and generating a second emergency treatment scheme according to the first health diagnosis data.
Optionally, the first communication module is configured to: sending the first adjustment instruction to the microprocessor;
the microprocessor is configured to: analyzing the first adjustment instruction into a second adjustment instruction, and sending the second adjustment instruction to the control processing module through the second communication module;
the control processing module is configured to: and controlling all facilities in the risk avoidance cabin to adjust working parameters according to the second adjusting instruction so as to adapt to the physiological state of the risk avoidance personnel.
Optionally, in the operation of acquiring the first risk avoidance cabin data of the risk avoidance cabin and sending the first risk avoidance cabin data to the microprocessor, the first monitoring module is specifically configured to:
acquiring three-dimensional point cloud data of the risk avoidance cabin and first risk avoidance cabin image data;
transmitting the three-dimensional point cloud data and the first risk avoidance cabin image data to the microprocessor as the first risk avoidance cabin data;
in the operation of preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module, the microprocessor is specifically configured to:
acquiring standard three-dimensional model data and history detection data of the risk avoidance cabin from the remote monitoring platform through the first communication module;
preprocessing the three-dimensional point cloud data and the first risk avoidance cabin image data, and then combining the standard three-dimensional model data and the history detection data to obtain current physical condition data of the risk avoidance cabin;
and taking the current physical condition data as the second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module.
Optionally, in the operation of evaluating the risk avoidance cabin according to the second risk avoidance cabin data to obtain first evaluation data, the remote monitoring platform is specifically configured to:
acquiring a standard three-dimensional model and standard parameters of the risk avoiding cabin;
determining important monitoring component data of the risk avoidance cabin according to the standard three-dimensional model and the standard parameters;
determining first current condition data of a first key monitoring component of the risk avoidance cabin according to the key monitoring component data and the current physical condition data;
and evaluating the risk avoidance cabin according to the first current condition data to obtain the first evaluation data.
Optionally, in the operation of generating first control data from the first person feature data, the first environment data and the first operation data, the microprocessor is specifically configured to:
inputting the first person characteristic data, the first environment data and the first operation data into a risk avoidance cabin control model generator to obtain a corresponding first control model;
and taking the first control model as the first control data.
Optionally, the remote monitoring platform is configured to:
The method comprises the steps of presetting a first neural network comprising an input layer, a first initial layer, an analog output layer, an activation function, a second initial layer, a verification coefficient layer and an output layer;
collecting historical working data of a plurality of emergency risk avoidance cabins, historical environment data of working time of the emergency risk avoidance cabins and historical fan operation data;
inputting the working data, the historical environment data and the historical fan operation data as first input data into the input layer of the first neural network;
the input layer transmits the first input data to the first initial layer which is connected with the input layer through matrix operation;
the first initial layer receives first output data, activates the first output data through the activation function to obtain second output data, and sends the activated second output data to the analog output layer;
the analog output layer calculates the second output data through a matrix to obtain an analog output value, and inputs the analog output value into the second initial layer;
the second initial layer calculates the analog output value through a matrix to obtain a verification output result;
the first input data of the input layer is in data connection with the second initial layer;
The second initial layer calculates to obtain third output data through a matrix, and sends the third output data and the verification output result to the verification coefficient layer for verification to obtain a normalization coefficient;
the normalization coefficient and the analog output value are sent to the output layer, and the output layer normalizes the analog output value to obtain a mimicry result;
and collecting positive feedback data and reverse feedback data, and carrying out learning correction on the mimicry result according to the positive feedback data and the reverse feedback data to generate the risk avoidance cabin control model generator.
Optionally, the system further comprises an intelligent lighthouse and an optical communication module arranged on the fan;
the microprocessor is configured to:
diagnosing the communication lines of the first communication module and the fan, and judging whether communication abnormality exists between the first communication module and the communication line;
when communication abnormality exists, an optical communication line is established with the intelligent lighthouse through the optical communication module;
and sending the data to the intelligent lighthouse through the optical communication line, and forwarding the data to the remote monitoring platform by the intelligent lighthouse.
Optionally, the remote monitoring platform is configured to:
an encryption strategy is formulated for data transmission among the remote monitoring platform, the fan, the intelligent lighthouse and the risk avoidance cabin, and specifically comprises the following steps:
generating a first encryption key and a first decryption key, a second encryption key and a second decryption key, and a third encryption key and a third decryption key which are paired respectively;
transmitting the first encryption key and the second encryption key to the first communication module;
transmitting the third encryption key to the intelligent lighthouse;
the first communication module is configured to: the first encryption key is sent to the microprocessor, and the second encryption key is sent to the control processing module through the second communication module;
the microprocessor is configured to:
acquiring three-dimensional model data of the fan, and randomly selecting fan model coordinate values of a plurality of coordinate points from the three-dimensional model data;
encrypting the fan model coordinate values by using the first encryption key to obtain first encrypted data;
when data is required to be sent outwards through the first communication module, the first encryption data and the data to be sent are integrated, and then the first encryption key is used for encryption to obtain first encryption data to be sent;
The control processing module is configured to:
acquiring the second position information, and acquiring a corresponding first three-dimensional coordinate value according to the second position information;
randomly selecting second three-dimensional coordinate values of a plurality of coordinate points from the three-dimensional point cloud data;
encrypting the first three-dimensional coordinate value and the second three-dimensional coordinate value by using the second encryption key to obtain second encrypted data;
when data is required to be sent outwards through the second communication module, integrating the second encrypted data with the data to be sent, and then encrypting the second encrypted data by using the second encryption key to obtain second encrypted data to be sent;
the intelligent lighthouse is configured to:
and when the data is required to be sent outwards, encrypting the data to be sent by using the third encryption key to obtain third encrypted data to be sent.
By adopting the technical scheme, the environment where the risk avoidance cabin is located is monitored, the risk avoidance cabin is initialized according to the monitoring data, character data in the risk avoidance cabin are collected, the relevant data are sent to the remote monitoring platform, the remote monitoring platform analyzes the relevant data to generate an emergency treatment scheme, and the emergency treatment scheme is executed by the emergency treatment platform according to the first emergency treatment terminal which corresponds to the emergency treatment scheme. The scheme of the invention can process emergency avoidance events timely and efficiently, and ensure personnel safety.
Drawings
FIG. 1 is a schematic block diagram of a remote monitoring and alarm system for an offshore wind power emergency refuge cabin provided by an embodiment of the invention;
FIG. 2 is a schematic block diagram of a remote monitoring and alarm system for an offshore wind power emergency refuge chamber provided by another embodiment of the invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
A remote monitoring and alarm system for an offshore wind power emergency refuge chamber according to some embodiments of the present invention is described below with reference to fig. 1.
As shown in fig. 1, an embodiment of the present invention provides a remote monitoring and alarming system for an offshore wind power emergency refuge cabin, including: a blower; the system comprises an danger avoiding cabin arranged on the fan, a microprocessor, a first positioning module used for acquiring first position information of the fan, a first monitoring module and a first communication module used for receiving and sending data; the second positioning module, the second monitoring module, the control processing module and the second communication module are arranged in the risk avoiding cabin and used for acquiring second position information of the risk avoiding cabin; the system comprises a remote monitoring platform, an emergency treatment platform and an emergency treatment terminal; wherein,,
The first monitoring module is configured to: monitoring first environment data of the position of the fan and first operation data of the fan, and sending the first environment data and the first operation data to the microprocessor;
the microprocessor is configured to:
determining whether an event of risk avoidance exists according to the first environmental data and the first operation data;
when the risk avoidance event exists, sending a portrait acquisition instruction to the first monitoring module;
the first monitoring module is configured to: based on a portrait identification algorithm, acquiring first portrait image data, and transmitting the first portrait image data to the microprocessor;
the microprocessor is configured to:
performing face recognition according to the first person image data, and obtaining first person feature data according to a face recognition result;
generating first control data according to the first person feature data, the first environment data and the first operation data;
the first communication module and the second communication module are used for sending the first control data to the control processing module of the risk avoidance cabin so as to control the risk avoidance cabin to perform initialization operation;
Transmitting the first environment data, the first operation data, the first position information and the first person characteristic data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to:
obtaining a first emergency risk avoiding grade, first alarm information and a first emergency processing scheme according to the first environment data, the first operation data, the first position information and the first person characteristic data;
transmitting the first emergency risk avoidance level, the first alarm information and the first emergency processing scheme to the emergency processing platform;
the emergency treatment platform is configured to:
selecting a corresponding first emergency processing terminal from the emergency processing terminals according to the first emergency risk avoiding level, the first alarm information and the first emergency processing scheme;
transmitting the first emergency processing scheme to the first emergency processing terminal;
the first emergency processing terminal is configured to: and navigating to the fan position and executing the first emergency treatment scheme.
It will be appreciated that in embodiments of the present invention, the microprocessor is used to process/analyze data, preset corresponding algorithms, etc., and may be a micro server. The first positioning module/the second positioning module can be a big dipper positioning module, a GPS positioning module and other long-distance positioning modules; the second positioning module can also be a close-range positioning module which performs positioning by utilizing the communication functions of the first communication module and the second communication module and utilizing the positioning function of the first positioning module, so that the relative position between the fan and the risk avoiding cabin can be more accurately determined. The first monitoring module/second monitoring module includes, but is not limited to, a camera unit, a sound collection unit, a pressure sensor, a temperature sensor, an anemometer, a lidar unit, an infrared monitoring unit, a voltage/current monitoring unit, an air monitoring unit, and the like. The first communication module/the second communication module may be a wired communication module or a wireless communication module, and preferably supports both wired communication and wireless communication. The control processing module can also be a processor which is used as a control center and a data processing center of the risk avoidance cabin. The remote monitoring platform has strong data processing capability, and can deploy data processing algorithms/models and neural networks. The emergency processing platform is used for determining a corresponding emergency processing terminal according to an emergency processing scheme, and the emergency processing terminal can be an unmanned plane, an unmanned ship and the like.
In this embodiment, the first environmental data (such as wind level, sea wave peak, air temperature, air oxygen content, etc.) and the first operation data are analyzed and confirmed, when the analysis result indicates that there is a danger in the environment where the fan is located and/or there is a danger in the operation of the fan, and the danger level reaches the danger avoidance level, it is determined that there is a danger avoidance event, that is, there is a need for avoiding danger, and at this time, whether personnel exist near the fan or not is needed, that is, a portrait acquisition instruction is sent to the first monitoring module; the first monitoring module collects first person image data based on a person image recognition algorithm and transmits the first person image data to the microprocessor; the microprocessor performs face recognition according to the first person image data, combines a face recognition result and the first person image data to obtain first person characteristic data (such as age, gender, expression, action posture, binding and the like), generates first control data according to the first person characteristic data, the first environment data and the first operation data, and sends the first control data to the control processing module of the risk avoidance cabin through the first communication module and the second communication module so as to control the risk avoidance cabin to perform initialization operation (such as temperature adjustment, hypoxia equipment starting, communication line connection and the like); and simultaneously, the first environment data, the first operation data, the first position information and the first person characteristic data are sent to the remote monitoring platform through the first communication module. The remote monitoring platform obtains/generates a first emergency risk avoiding level, first alarm information and a first emergency processing scheme according to the first environment data, the first operation data, the first position information and the first person characteristic data; transmitting the first emergency risk avoidance level, the first alarm information and the first emergency processing scheme to the emergency processing platform; the emergency processing platform selects a corresponding first emergency processing terminal from the emergency processing terminals according to the first emergency risk avoiding grade, the first alarm information and the first emergency processing scheme; transmitting the first emergency processing scheme to the first emergency processing terminal; and the first emergency processing terminal navigates to the position of the fan according to the first position information and executes the first emergency processing scheme.
By adopting the technical scheme of the embodiment, the environment where the risk avoidance cabin is located is monitored, the risk avoidance cabin is initialized according to the monitoring data, character data in the risk avoidance cabin are collected, the relevant data are sent to the remote monitoring platform, the remote monitoring platform analyzes the relevant data to generate an emergency treatment scheme, and the emergency treatment scheme is executed by the emergency treatment platform according to the first emergency treatment terminal which corresponds to the emergency treatment scheme. The scheme of the invention can process emergency avoidance events timely and efficiently, and ensure personnel safety.
It should be understood that the block diagram of the remote monitoring and alarm system of the offshore wind power emergency evacuation module shown in fig. 1 is only illustrative, and the number of the illustrated modules does not limit the protection scope of the present invention.
In some possible embodiments of the invention, the first monitoring module is further configured to: acquiring first risk avoiding cabin data of the risk avoiding cabin, and sending the first risk avoiding cabin data to the microprocessor;
the microprocessor is configured to: preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module;
The remote monitoring platform is configured to:
evaluating the risk avoidance cabin according to the second risk avoidance cabin data to obtain first evaluation data;
judging whether the risk avoidance cabin has a first type of abnormality according to the first evaluation data, and if so, sending the first evaluation data to the emergency processing platform;
the emergency treatment platform is configured to: and detecting and maintaining the risk avoidance cabin according to the first evaluation data.
It can be appreciated that, in order to accurately monitor the real-time state of the risk avoidance cabin to implement accurate emergency treatment and maintenance, in this embodiment, first risk avoidance cabin data (such as three-dimensional point cloud data, image data, infrared scanning data, etc.) of the risk avoidance cabin is obtained through a first monitoring module, and the first risk avoidance cabin data is sent to the microprocessor; the microprocessor pre-processes (such as data cleaning and standardization) the first risk avoidance cabin data to obtain second risk avoidance cabin data, and sends the second risk avoidance cabin data to the remote monitoring platform through the first communication module; the remote monitoring platform evaluates the risk avoidance cabin according to the second risk avoidance cabin data (such as comparing with preset initial three-dimensional point cloud data or image data to determine whether a difference exceeding a threshold exists) to obtain first evaluation data; judging whether the risk avoidance cabin has a first type of abnormality (such as physical damage, connector displacement, structural deformation, component corrosion and the like) according to the first evaluation data, and if so, sending the first evaluation data to the emergency processing platform; and the emergency processing platform detects and maintains the risk avoidance cabin according to the first evaluation data.
In some possible embodiments of the invention, the second monitoring module is configured to: collecting first cabin data in the risk avoidance cabin and sending the first cabin data to the control processing module;
the control processing module is configured to:
processing the first cabin data to determine whether danger avoidance personnel exist in the danger avoidance cabin;
when danger avoidance personnel exist, sending a character data acquisition instruction to the second monitoring module;
the second monitoring module is configured to: receiving the character image acquisition instruction, acquiring first character data, and sending the first character data to the microprocessor through the second communication module and the first communication module;
the microprocessor is configured to: determining first physiological data of the risk avoidance personnel according to the first biological data, and sending the first physiological data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to: generating a first adjustment instruction and first health diagnosis data according to the first physiological data; transmitting the first adjustment instruction to the first communication module; transmitting the first health diagnostic data to the emergency processing platform;
The emergency treatment platform is configured to: and generating a second emergency treatment scheme according to the first health diagnosis data.
It can be appreciated that, in order to further determine whether there are danger avoidance personnel and whether the danger avoidance personnel need emergency treatment in the danger avoidance cabin, in this embodiment, first cabin data in the danger avoidance cabin is collected by the second monitoring module, and the first cabin data is sent to the control processing module; the control processing module processes the data in the first cabin to determine whether danger avoidance personnel exist in the danger avoidance cabin; when danger avoidance personnel exist, sending a character data acquisition instruction to the second monitoring module; the second monitoring module receives the figure image acquisition instruction, acquires first figure data and sends the first figure data to the microprocessor through the second communication module and the first communication module; the microprocessor determines first physiological data of the risk avoidance personnel (such as expression data, facial color data, trauma data and the like obtained by performing image data analysis on the first physiological data) according to the first human data, and sends the first physiological data to the remote monitoring platform through the first communication module; the remote monitoring platform generates a first adjustment instruction and first health diagnosis data according to the first physiological data; transmitting the first adjustment instruction to the first communication module; transmitting the first health diagnostic data to the emergency processing platform; and the emergency treatment platform generates a second emergency treatment scheme according to the first health diagnosis data and determines a corresponding second emergency treatment terminal to carry out treatment. It should be noted that the second monitoring module may further include a health detection unit, such as a heart rate detection unit, a blood pressure detection unit, a blood detection unit, etc., so that second physiological data may be obtained; in addition, the second monitoring module can collect video data of the risk avoidance personnel, the video data are sent to the remote monitoring platform through the second communication module and the first communication module, and the remote monitoring platform is used for diagnosing the health condition of the risk avoidance personnel in real time and generating an emergency treatment scheme according to the health condition.
In some possible embodiments of the invention, the first communication module is configured to: sending the first adjustment instruction to the microprocessor;
the microprocessor is configured to: analyzing the first adjustment instruction into a second adjustment instruction, and sending the second adjustment instruction to the control processing module through the second communication module;
the control processing module is configured to: and controlling all facilities in the risk avoidance cabin to adjust working parameters according to the second adjusting instruction so as to adapt to the physiological state of the risk avoidance personnel.
It can be understood that, in order to improve the instruction execution efficiency and protect the danger avoidance personnel in time, in this embodiment, the microprocessor parses the first adjustment instruction into a second adjustment instruction, and sends the second adjustment instruction to the control processing module through the second communication module; and the control processing module controls all facilities in the risk avoidance cabin to adjust working parameters according to the second adjustment instruction so as to adapt to the physiological state of the risk avoidance personnel.
In some possible embodiments of the present invention, in the operation of acquiring the first risk avoidance cabin data of the risk avoidance cabin and sending the first risk avoidance cabin data to the microprocessor, the first monitoring module is specifically configured to:
Acquiring three-dimensional point cloud data of the risk avoidance cabin and first risk avoidance cabin image data;
transmitting the three-dimensional point cloud data and the first risk avoidance cabin image data to the microprocessor as the first risk avoidance cabin data;
in the operation of preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module, the microprocessor is specifically configured to:
acquiring standard three-dimensional model data and history detection data of the risk avoidance cabin from the remote monitoring platform through the first communication module;
preprocessing the three-dimensional point cloud data and the first risk avoidance cabin image data, and then combining the standard three-dimensional model data and the history detection data to obtain current physical condition data of the risk avoidance cabin;
and taking the current physical condition data as the second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module.
It can be understood that, in order to accurately determine the physical condition of the risk avoidance cabin, in this embodiment, the current physical condition data of the risk avoidance cabin is obtained by acquiring three-dimensional point cloud data of the risk avoidance cabin and first risk avoidance cabin image data and combining the standard three-dimensional model data and the history detection data (by comparing coordinates of the three-dimensional point cloud data with coordinates in the standard three-dimensional model data after coordinate conversion, and then referring to the first risk avoidance cabin image data and the history detection data, the current physical condition data is obtained); and taking the current physical condition data as the second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module.
In some possible embodiments of the present invention, in the operation of evaluating the risk avoidance cabin according to the second risk avoidance cabin data to obtain first evaluation data, the remote monitoring platform is specifically configured to:
acquiring a standard three-dimensional model and standard parameters of the risk avoiding cabin;
determining important monitoring component data of the risk avoidance cabin according to the standard three-dimensional model and the standard parameters;
determining first current condition data of a first key monitoring component of the risk avoidance cabin according to the key monitoring component data and the current physical condition data;
and evaluating the risk avoidance cabin according to the first current condition data to obtain the first evaluation data.
It can be understood that, in order to improve the evaluation efficiency of the risk avoidance cabin and not omit the evaluation of the key components of the risk avoidance cabin, in this embodiment, the remote monitoring platform acquires the standard three-dimensional model and the standard parameters of the risk avoidance cabin; determining important monitoring component data (such as a bearing piece, a connecting piece, electronic equipment, a sealing piece and the like) of the risk avoidance cabin according to the standard three-dimensional model and the standard parameters; determining first current condition data of a first key monitoring component of the risk avoidance cabin according to the key monitoring component data and the current physical condition data; and evaluating the risk avoidance cabin according to the first current condition data to obtain the first evaluation data.
In some possible embodiments of the present invention, in the operation of generating first control data from the first person characteristic data, the first environment data, and the first operation data, the microprocessor is specifically configured to:
inputting the first person characteristic data, the first environment data and the first operation data into a risk avoidance cabin control model generator to obtain a corresponding first control model;
and taking the first control model as the first control data.
It can be understood that in this embodiment, the preset risk avoidance cabin control model generator is utilized to obtain the first control model corresponding to the current personnel state, the environment state and the fan running state, so that more accurate and flexible control can be implemented on the risk avoidance cabin.
In some possible embodiments of the invention, the remote monitoring platform is configured to:
the method comprises the steps of presetting a first neural network comprising an input layer, a first initial layer, an analog output layer, an activation function, a second initial layer, a verification coefficient layer and an output layer;
collecting historical working data of a plurality of emergency risk avoidance cabins, historical environment data of working time of the emergency risk avoidance cabins and historical fan operation data;
inputting the working data, the historical environment data and the historical fan operation data as first input data into the input layer of the first neural network;
The input layer transmits the first input data to the first initial layer which is connected with the input layer through matrix operation;
the first initial layer receives first output data, activates the first output data through the activation function to obtain second output data, and sends the activated second output data to the analog output layer;
the analog output layer calculates the second output data through a matrix to obtain an analog output value, and inputs the analog output value into the second initial layer;
the second initial layer calculates the analog output value through a matrix to obtain a verification output result;
the first input data of the input layer is in data connection with the second initial layer;
the second initial layer calculates to obtain third output data through a matrix, and sends the third output data and the verification output result to the verification coefficient layer for verification to obtain a normalization coefficient;
the normalization coefficient and the analog output value are sent to the output layer, and the output layer normalizes the analog output value to obtain a mimicry result;
and collecting positive feedback data and reverse feedback data, and carrying out learning correction on the mimicry result according to the positive feedback data and the reverse feedback data to generate the risk avoidance cabin control model generator.
In this embodiment, the first neural network is trained by using the historical working data of the emergency evacuation modules, the historical environmental data of the emergency evacuation modules during working, and the historical fan operation data, so that the evacuation module control model generator with high accuracy can be obtained.
Referring to fig. 2, in some possible embodiments of the present invention, the system further includes a smart lighthouse and an optical communication module disposed on the blower;
the microprocessor is configured to:
diagnosing the communication lines of the first communication module and the fan, and judging whether communication abnormality exists between the first communication module and the communication line;
when communication abnormality exists, an optical communication line is established with the intelligent lighthouse through the optical communication module;
and sending the data to the intelligent lighthouse through the optical communication line, and forwarding the data to the remote monitoring platform by the intelligent lighthouse.
It can be understood that in the case of severe marine environment, the influence on the communication line is great, and in order to avoid the situation that communication cannot be performed due to disconnection of the communication line, in this embodiment, the microprocessor diagnoses the communication lines of the first communication module and the fan, and determines whether communication abnormality exists between the first communication module and the communication line; when communication abnormality exists, an optical communication line is established with the intelligent lighthouse through the optical communication module; and sending the data to the intelligent lighthouse through the optical communication line, and forwarding the data to the remote monitoring platform by the intelligent lighthouse. It should be noted that the number of the intelligent lighthouses may be plural, and the remote monitoring platform may analyze the periodic variation characteristics of the marine environment according to the distribution of the plural intelligent lighthouses, so as to determine plural optical communication lines including at least one intelligent lighthouse, generate an optical communication line selection scheme, and synchronize the optical communication lines to the microprocessor.
In some possible embodiments of the invention, the remote monitoring platform is configured to:
an encryption strategy is formulated for data transmission among the remote monitoring platform, the fan, the intelligent lighthouse and the risk avoidance cabin, and specifically comprises the following steps:
generating a first encryption key and a first decryption key, a second encryption key and a second decryption key, and a third encryption key and a third decryption key which are paired respectively;
transmitting the first encryption key and the second encryption key to the first communication module;
transmitting the third encryption key to the intelligent lighthouse;
the first communication module is configured to: the first encryption key is sent to the microprocessor, and the second encryption key is sent to the control processing module through the second communication module;
to increase the difficulty of the encrypted data being broken, while taking into account the security and convenience of selecting the interfering data, the microprocessor is configured to:
acquiring three-dimensional model data of the fan, and randomly selecting fan model coordinate values of a plurality of coordinate points from the three-dimensional model data;
encrypting the fan model coordinate values by using the first encryption key to obtain first encrypted data;
When data is required to be sent outwards through the first communication module, the first encryption data and the data to be sent are integrated, and then the first encryption key is used for encryption to obtain first encryption data to be sent;
the control processing module is configured to:
acquiring the second position information, and acquiring a corresponding first three-dimensional coordinate value according to the second position information;
randomly selecting a second three-dimensional coordinate value of a plurality of coordinate points from the three-dimensional point cloud data of the risk avoidance cabin;
encrypting the first three-dimensional coordinate value and the second three-dimensional coordinate value by using the second encryption key to obtain second encrypted data;
when data is required to be sent outwards through the second communication module, integrating the second encrypted data with the data to be sent, and then encrypting the second encrypted data by using the second encryption key to obtain second encrypted data to be sent;
the intelligent lighthouse is configured to:
and when the data is required to be sent outwards, encrypting the data to be sent by using the third encryption key to obtain third encrypted data to be sent.
It can be understood that the blower is an important device and is easy to attack/invade, so as to protect communication/data security between the blower and other communication main bodies from causing harm to the blower or an danger avoidance cabin (danger avoidance personnel), and in this embodiment, a remote monitoring platform makes an encryption policy for data transmission among the remote monitoring platform, the blower, the intelligent lighthouse and the danger avoidance cabin. In the encryption process, the interference data is added to the original data (namely the data to be transmitted by the fan and the data to be transmitted by the risk avoidance cabin) so as to increase the cracking difficulty of the data, meanwhile, the safety and convenience of selecting the interference data are considered, the interference data is generated by three-dimensional coordinate values of a corresponding main body, for example, X values, Y values and Z values of a plurality of three-dimensional coordinate values are independently taken out to form a number sequence, the number sequence is randomly divided into a plurality of sub-number sequences, matrix operation is carried out on the sub-number sequences, an initial interference value can be obtained, and finally the initial interference value is encrypted by a secret key and then mixed into the original data.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Although the present invention is disclosed above, the present invention is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. An offshore wind power emergency refuge cabin remote monitoring and alarm system, comprising: a blower; the system comprises an danger avoiding cabin arranged on the fan, a microprocessor, a first positioning module used for acquiring first position information of the fan, a first monitoring module and a first communication module used for receiving and sending data; the second positioning module, the second monitoring module, the control processing module and the second communication module are arranged in the risk avoiding cabin and used for acquiring second position information of the risk avoiding cabin; the system comprises a remote monitoring platform, an emergency treatment platform and an emergency treatment terminal; wherein,,
the first monitoring module is configured to: monitoring first environment data of the position of the fan and first operation data of the fan, and sending the first environment data and the first operation data to the microprocessor;
the microprocessor is configured to:
determining whether an event of risk avoidance exists according to the first environmental data and the first operation data;
when the risk avoidance event exists, sending a portrait acquisition instruction to the first monitoring module;
the first monitoring module is configured to: based on a portrait identification algorithm, acquiring first portrait image data, and transmitting the first portrait image data to the microprocessor;
The microprocessor is configured to:
performing face recognition according to the first person image data, and obtaining first person feature data according to a face recognition result;
generating first control data according to the first person feature data, the first environment data and the first operation data;
the first communication module and the second communication module are used for sending the first control data to the control processing module of the risk avoidance cabin so as to control the risk avoidance cabin to perform initialization operation;
transmitting the first environment data, the first operation data, the first position information and the first person characteristic data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to:
obtaining a first emergency risk avoiding grade, first alarm information and a first emergency processing scheme according to the first environment data, the first operation data, the first position information and the first person characteristic data;
transmitting the first emergency risk avoidance level, the first alarm information and the first emergency processing scheme to the emergency processing platform;
the emergency treatment platform is configured to:
Selecting a corresponding first emergency processing terminal from the emergency processing terminals according to the first emergency risk avoiding level, the first alarm information and the first emergency processing scheme;
transmitting the first emergency processing scheme to the first emergency processing terminal;
the first emergency processing terminal is configured to: and navigating to the fan position and executing the first emergency treatment scheme.
2. The offshore wind turbine emergency refuge compartment remote monitoring and warning system of claim 1, wherein the first monitoring module is further configured to: acquiring first risk avoiding cabin data of the risk avoiding cabin, and sending the first risk avoiding cabin data to the microprocessor;
the microprocessor is configured to: preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module;
the remote monitoring platform is configured to:
evaluating the risk avoidance cabin according to the second risk avoidance cabin data to obtain first evaluation data;
judging whether the risk avoidance cabin has a first type of abnormality according to the first evaluation data, and if so, sending the first evaluation data to the emergency processing platform;
The emergency treatment platform is configured to: and detecting and maintaining the risk avoidance cabin according to the first evaluation data.
3. The offshore wind turbine emergency refuge compartment remote monitoring and warning system of claim 2, wherein the second monitoring module is configured to: collecting first cabin data in the risk avoidance cabin and sending the first cabin data to the control processing module;
the control processing module is configured to:
processing the first cabin data to determine whether danger avoidance personnel exist in the danger avoidance cabin;
when danger avoidance personnel exist, sending a character data acquisition instruction to the second monitoring module;
the second monitoring module is configured to: receiving the character image acquisition instruction, acquiring first character data, and sending the first character data to the microprocessor through the second communication module and the first communication module;
the microprocessor is configured to: determining first physiological data of the risk avoidance personnel according to the first biological data, and sending the first physiological data to the remote monitoring platform through the first communication module;
The remote monitoring platform is configured to: generating a first adjustment instruction and first health diagnosis data according to the first physiological data; transmitting the first adjustment instruction to the first communication module; transmitting the first health diagnostic data to the emergency processing platform;
the emergency treatment platform is configured to: and generating a second emergency treatment scheme according to the first health diagnosis data.
4. The offshore wind power emergency refuge chamber remote monitoring and warning system of claim 3, wherein,
the first communication module is configured to: sending the first adjustment instruction to the microprocessor;
the microprocessor is configured to: analyzing the first adjustment instruction into a second adjustment instruction, and sending the second adjustment instruction to the control processing module through the second communication module;
the control processing module is configured to: and controlling all facilities in the risk avoidance cabin to adjust working parameters according to the second adjusting instruction so as to adapt to the physiological state of the risk avoidance personnel.
5. The offshore wind turbine emergency risk avoidance cabin remote monitoring and warning system of claim 4 wherein in the operation of obtaining first risk avoidance cabin data for the risk avoidance cabin and transmitting the first risk avoidance cabin data to the microprocessor, the first monitoring module is specifically configured to:
Acquiring three-dimensional point cloud data of the risk avoidance cabin and first risk avoidance cabin image data;
transmitting the three-dimensional point cloud data and the first risk avoidance cabin image data to the microprocessor as the first risk avoidance cabin data;
in the operation of preprocessing the first risk avoidance cabin data to obtain second risk avoidance cabin data and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module, the microprocessor is specifically configured to:
acquiring standard three-dimensional model data and history detection data of the risk avoidance cabin from the remote monitoring platform through the first communication module;
preprocessing the three-dimensional point cloud data and the first risk avoidance cabin image data, and then combining the standard three-dimensional model data and the history detection data to obtain current physical condition data of the risk avoidance cabin;
and taking the current physical condition data as the second risk avoidance cabin data, and sending the second risk avoidance cabin data to the remote monitoring platform through the first communication module.
6. The offshore wind turbine emergency risk avoidance cabin remote monitoring and warning system of claim 5, wherein in the operation of evaluating the risk avoidance cabin based on the second risk avoidance cabin data to obtain first evaluation data, the remote monitoring platform is specifically configured to:
Acquiring a standard three-dimensional model and standard parameters of the risk avoiding cabin;
determining important monitoring component data of the risk avoidance cabin according to the standard three-dimensional model and the standard parameters;
determining first current condition data of a first key monitoring component of the risk avoidance cabin according to the key monitoring component data and the current physical condition data;
and evaluating the risk avoidance cabin according to the first current condition data to obtain the first evaluation data.
7. The offshore wind turbine emergency risk avoidance cabin remote monitoring and warning system of claim 6 wherein in the operation of generating first control data from the first human characteristic data, the first environmental data, and the first operational data, the microprocessor is specifically configured to:
inputting the first person characteristic data, the first environment data and the first operation data into a risk avoidance cabin control model generator to obtain a corresponding first control model;
and taking the first control model as the first control data.
8. The offshore wind turbine emergency refuge compartment remote monitoring and warning system of claim 7, wherein the remote monitoring platform is configured to:
The method comprises the steps of presetting a first neural network comprising an input layer, a first initial layer, an analog output layer, an activation function, a second initial layer, a verification coefficient layer and an output layer;
collecting historical working data of a plurality of emergency risk avoidance cabins, historical environment data of working time of the emergency risk avoidance cabins and historical fan operation data;
inputting the working data, the historical environment data and the historical fan operation data as first input data into the input layer of the first neural network;
the input layer transmits the first input data to the first initial layer which is connected with the input layer through matrix operation;
the first initial layer receives first output data, activates the first output data through the activation function to obtain second output data, and sends the activated second output data to the analog output layer;
the analog output layer calculates the second output data through a matrix to obtain an analog output value, and inputs the analog output value into the second initial layer;
the second initial layer calculates the analog output value through a matrix to obtain a verification output result;
the first input data of the input layer is in data connection with the second initial layer;
The second initial layer calculates to obtain third output data through a matrix, and sends the third output data and the verification output result to the verification coefficient layer for verification to obtain a normalization coefficient;
the normalization coefficient and the analog output value are sent to the output layer, and the output layer normalizes the analog output value to obtain a mimicry result;
and collecting positive feedback data and reverse feedback data, and carrying out learning correction on the mimicry result according to the positive feedback data and the reverse feedback data to generate the risk avoidance cabin control model generator.
9. The offshore wind turbine emergency refuge compartment remote monitoring and warning system of claim 8, further comprising an intelligent lighthouse and an optical communication module disposed on the blower;
the microprocessor is configured to:
diagnosing the communication lines of the first communication module and the fan, and judging whether communication abnormality exists between the first communication module and the communication line;
when communication abnormality exists, an optical communication line is established with the intelligent lighthouse through the optical communication module;
and sending the data to the intelligent lighthouse through the optical communication line, and forwarding the data to the remote monitoring platform by the intelligent lighthouse.
10. The offshore wind power emergency refuge chamber remote monitoring and warning system of claims 1-9, wherein the remote monitoring platform is configured to:
an encryption strategy is formulated for data transmission among the remote monitoring platform, the fan, the intelligent lighthouse and the risk avoidance cabin, and specifically comprises the following steps:
generating a first encryption key and a first decryption key, a second encryption key and a second decryption key, and a third encryption key and a third decryption key which are paired respectively;
transmitting the first encryption key and the second encryption key to the first communication module;
transmitting the third encryption key to the intelligent lighthouse;
the first communication module is configured to: the first encryption key is sent to the microprocessor, and the second encryption key is sent to the control processing module through the second communication module;
the microprocessor is configured to:
acquiring three-dimensional model data of the fan, and randomly selecting fan model coordinate values of a plurality of coordinate points from the three-dimensional model data;
encrypting the fan model coordinate values by using the first encryption key to obtain first encrypted data;
When data is required to be sent outwards through the first communication module, the first encryption data and the data to be sent are integrated, and then the first encryption key is used for encryption to obtain first encryption data to be sent;
the control processing module is configured to:
acquiring the second position information, and acquiring a corresponding first three-dimensional coordinate value according to the second position information;
randomly selecting second three-dimensional coordinate values of a plurality of coordinate points from the three-dimensional point cloud data;
encrypting the first three-dimensional coordinate value and the second three-dimensional coordinate value by using the second encryption key to obtain second encrypted data;
when data is required to be sent outwards through the second communication module, integrating the second encrypted data with the data to be sent, and then encrypting the second encrypted data by using the second encryption key to obtain second encrypted data to be sent;
the intelligent lighthouse is configured to:
and when the data is required to be sent outwards, encrypting the data to be sent by using the third encryption key to obtain third encrypted data to be sent.
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