CN115243404A - Electronic T-card terminal control system and method - Google Patents
Electronic T-card terminal control system and method Download PDFInfo
- Publication number
- CN115243404A CN115243404A CN202210802994.3A CN202210802994A CN115243404A CN 115243404 A CN115243404 A CN 115243404A CN 202210802994 A CN202210802994 A CN 202210802994A CN 115243404 A CN115243404 A CN 115243404A
- Authority
- CN
- China
- Prior art keywords
- data
- electronic
- index
- environment
- wind power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000009429 distress Effects 0.000 claims abstract description 50
- 238000012545 processing Methods 0.000 claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 29
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 27
- 239000008280 blood Substances 0.000 claims abstract description 27
- 210000004369 blood Anatomy 0.000 claims abstract description 27
- 230000036772 blood pressure Effects 0.000 claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims abstract description 27
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 27
- 239000001301 oxygen Substances 0.000 claims abstract description 27
- 230000036387 respiratory rate Effects 0.000 claims abstract description 17
- 230000007613 environmental effect Effects 0.000 claims description 29
- 238000004891 communication Methods 0.000 claims description 25
- 238000005070 sampling Methods 0.000 claims description 23
- 238000012549 training Methods 0.000 claims description 11
- 230000036391 respiratory frequency Effects 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 9
- 238000012795 verification Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 230000002708 enhancing effect Effects 0.000 claims 1
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/02—Terminal devices
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/12—Manually actuated calamity alarm transmitting arrangements emergency non-personal manually actuated alarm, activators, e.g. details of alarm push buttons mounted on an infrastructure
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/40—Arrangements in telecontrol or telemetry systems using a wireless architecture
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a control system and a method for an electronic T card terminal, which comprises an electronic T card for storing identity information; the vital sign detection module is used for measuring heart rate data, pulse data, blood pressure data, respiratory rate data and blood oxygen concentration data; the environment element detection module is used for measuring humidity data, temperature data, air pressure data, wind speed data and wind direction data; the task allocation unit allocates task information according to the identity information; the first calculation unit inputs the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data into an environment state calculation formula to obtain an environment state index; the second calculation unit inputs the heart rate data, the pulse data, the blood pressure data, the respiratory rate data and the blood oxygen concentration data into a vital sign state calculation formula to obtain a vital state index; and the comprehensive processing unit inputs the life state index and the environment state index into the distress index processing model to obtain a comprehensive distress index. The method and the device improve the judgment accuracy of the distress condition of offshore wind power personnel.
Description
Technical Field
The invention relates to the technical field of offshore personnel management, in particular to an electronic T-card terminal control system and method.
Background
China is rich in offshore wind energy resources and is mainly distributed in southeast coastal areas which are developed economically, have strong power grid structures and lack conventional energy sources. On a global scale, since the 90 s of the 20 th century, offshore wind power has been explored for more than a decade, and the technology has become mature. The offshore wind power system needs offshore wind power personnel to carry out construction and operation and maintenance management of wind power engineering, and in the process of carrying out construction management on the offshore wind power system, the offshore wind power personnel are often required to go to a task place to carry out installation, debugging and maintenance. At present, in the prior art, the distress condition is generally judged only by talkback communication with offshore wind power personnel, but once the communication signal is poor, the distress condition cannot be judged, and unnecessary casualties or invalid rescue is easy to occur.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an electronic T-card terminal control system and method, which are used for improving the accuracy of judgment of the distress condition of offshore wind power personnel.
In order to achieve the purpose, the invention provides the following technical scheme: an electronic T-card terminal control system comprising:
the system comprises an electronic T card, a task information processing module and a task information processing module, wherein the electronic T card is used for storing identity information of a single offshore wind power worker, and each offshore wind power worker executes a task according to task information;
the vital sign detection module is used for detecting heart rate, pulse, blood pressure, respiratory rate and blood oxygen concentration of the offshore wind power personnel in a task execution process in real time to obtain heart rate data, pulse data, blood pressure data, respiratory rate data and blood oxygen concentration data;
the system comprises an environment element detection module, a task execution module and a task execution module, wherein the environment element detection module is used for detecting the environment humidity, the environment temperature, the environment air pressure, the environment wind speed and the environment wind direction of the offshore wind power personnel in the task execution process in real time to obtain humidity data, temperature data, air pressure data, wind speed data and wind direction data;
the positioning module is used for positioning the offshore wind power personnel in real time to obtain positioning information;
the electron T card terminal is connected respectively the electron T card the vital sign detection module the environmental element detection module and orientation module include:
the task allocation unit is used for allocating corresponding task information according to the identity information, wherein the task information comprises an initial execution track, and the initial execution track comprises position coordinates of a fault area;
the first calculation unit is used for inputting the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data into a preset environment state calculation formula to obtain an environment state index;
the second calculation unit is used for inputting the heart rate data, the pulse data, the blood pressure data, the respiratory rate data and the blood oxygen concentration data into a preset vital sign state calculation formula to obtain a vital state index;
the comprehensive processing unit is respectively connected with the first calculating unit and the second calculating unit and is used for inputting the life state index and the environment state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
the call rescue unit is connected with the comprehensive processing unit and used for generating a call instruction and a rescue instruction according to the comprehensive distress index and the positioning information;
the communication equipment is connected with the electronic T card terminal and used for calling the offshore wind power personnel according to the calling instruction and providing calling communication between the offshore wind power personnel and the electronic T card terminal;
and the plurality of rescue devices are distributed around the fault area, connected with the electronic T-card terminal and used for carrying out rescue on the offshore wind power personnel to the location of the position coordinate corresponding to the positioning information according to the rescue instruction.
Further, each position coordinate point on the initial execution trajectory is configured with a preset environment prediction index, and the electronic T-card terminal further includes a trajectory modification unit respectively connected to the task allocation unit and the first calculation unit, and includes:
the sampling subunit is used for sampling the environment prediction index and the environment state index at each position coordinate point on the continuous track after the offshore wind power personnel moves along the initial execution track for a continuous track to obtain a plurality of first sampling data and a plurality of corresponding second sampling data;
the calculating subunit is connected with the sampling subunit and used for subtracting the first sampling data from the corresponding second sampling data to obtain a plurality of data difference values;
and the track generation subunit is connected with the calculation subunit and is used for generating a difference curve according to the data differences and correcting the initial execution track according to the difference curve to obtain a corrected track, wherein the corrected track comprises the position coordinates of the fault area.
Further, the environment state calculation formula is configured to:
abcd=25;
wherein, E n For representing the environmental status index;
a is used for representing a preset first coefficient, and the first coefficient is a constant;
b is used for representing a preset second coefficient which is a constant;
c is used for representing a preset third coefficient, and the third coefficient is a constant;
d is used for representing a preset fourth coefficient which is a constant;
h is used to represent the humidity data;
t is used to represent the temperature data;
P r for representing said air pressure data;
W v for representing the wind speed data;
W d for representing the wind direction data.
Further, the vital sign state calculation formula is configured to:
V i =Ax(t)+By(t)+Cz(t)+Du(t)+Ev(t);
wherein, V i For representing the life state index;
t is used to represent the current time;
t is used for the data acquisition time of the vital sign sampling module;
x (t) is used to represent the heart rate data at the current time;
y (t) is used to represent the pulse data at the current time;
z (t) is used to represent the blood pressure data at the current time;
u (t) is used to represent the respiratory rate data at the current time;
v (t) is used to represent the blood oxygen concentration data at the current time.
Further, the integrated processing unit includes:
the data storage subunit is used for storing a plurality of groups of historical environment state data, historical life state data and comprehensive calibration indexes at the same time;
the model training subunit is connected with the data storage subunit and is used for training the historical environment state data and the historical life state data to obtain the distress index processing model by taking the comprehensive calibration index as output;
and the model output subunit is connected with the model training subunit and used for inputting the life state index and the environment state index of the current moment into the distress index processing model to obtain the comprehensive distress index.
Further, still include identity verification module, connect electron T card terminal includes:
the storage unit is used for storing the association relationship between the biological characteristic information of each offshore wind power personnel and the identity information;
the collection unit is used for collecting the biological characteristic information of the offshore wind power personnel;
the matching unit is respectively connected with the storage unit and the acquisition unit and is used for matching the acquired biological characteristic information with each piece of identity information in the storage unit to obtain a matching result;
and when the matching result shows that the acquired biological characteristic information is matched in the storage unit to obtain the corresponding identity information, the task distribution unit sends the task information to the electronic T card.
The electronic T card terminal is used for receiving the calling instruction and the rescue instruction sent by the electronic T card terminal, performing signal enhancement, and sending the calling instruction and the rescue instruction after signal enhancement to the communication equipment and the rescue equipment respectively
An electronic T card terminal control method is applied to the electronic T card terminal control system, and comprises the following steps:
s1, an electronic T card stores identity information of a single offshore wind power worker, a task allocation unit allocates corresponding task information according to the identity information, the task information comprises a corresponding initial execution track, the initial execution track comprises position coordinates of a fault area, and each offshore wind power worker executes a task according to the task information;
s2, a vital sign detection module detects heart rate, pulse, blood pressure, respiratory frequency and blood oxygen concentration of the offshore wind power personnel in a task execution process in real time to obtain heart rate data, pulse data, blood pressure data, respiratory frequency data and blood oxygen concentration data, an environment element detection module detects environment humidity, environment temperature, environment air pressure, environment air speed and environment air direction of the offshore wind power personnel in the task execution process in real time to obtain humidity data, temperature data, air pressure data, air speed data and air direction data, and a positioning module positions the offshore wind power personnel in real time to obtain positioning information;
s3, a first calculating unit inputs the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data into a preset environment state calculating formula to obtain an environment state index, and a second calculating unit inputs the heart rate data, the pulse data, the blood pressure data, the respiratory frequency data and the blood oxygen concentration data into a preset vital sign state calculating formula to obtain a vital sign index; the comprehensive processing unit inputs the life state index and the environment state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
and S4, a calling and rescuing unit generates a calling instruction and a rescuing instruction according to the comprehensive distress index and the positioning information, communication equipment calls the offshore wind power personnel according to the calling instruction and provides the offshore wind power personnel and the electronic T-card terminal for calling communication, and a plurality of rescuing equipment go to the position where the position coordinate corresponding to the positioning information is located according to the rescuing instruction to rescue the offshore wind power personnel.
The invention has the beneficial effects that:
according to the invention, by arranging the vital sign detection module and the environment detection module, the heart rate data, the pulse data, the blood pressure data, the respiratory frequency data, the blood oxygen concentration, the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data of offshore wind power personnel are respectively detected and sent to the electronic T-card terminal in the task execution process, the electronic T-card terminal calculates the vital state index according to the heart rate data, the pulse data, the blood pressure data, the respiratory frequency data and the blood oxygen concentration, calculates the environment state index according to the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data, processes the vital state index and the environment state index to obtain the comprehensive distress index, and finally generates a rescue instruction according to the comprehensive distress index to enable rescue equipment to go to rescue, and the comprehensive distress index is obtained by comprehensively processing the vital sign indexes of the offshore wind power personnel and the environment state, so that the distress condition of the offshore wind power personnel can be more accurately represented, and the safety of offshore wind power personnel can be guaranteed.
Drawings
FIG. 1 is a schematic structural diagram of an electronic T-card terminal control system according to the present invention;
fig. 2 is a flowchart of the steps of the control method of the electronic T-card terminal of the present invention.
Reference numerals are as follows: 1. an electronic T-card; 2. a vital sign detection module; 3. an environment element detection module; 4. a positioning module; 5. an electronic T-card terminal; 51. a task allocation unit; 52. a first calculation unit; 53. a second calculation unit; 54. a comprehensive processing unit; 541. a data storage subunit; 542. a model training subunit; 543. a model output subunit; 55. calling a rescue unit; 56. a trajectory correction unit; 561. a sampling sub-unit; 562. a calculation subunit; 563. a trajectory generation subunit; 6. a communication device; 7. a rescue device; 8. an identity verification module; 81. a storage unit; 82. a collecting unit; 83. a matching unit; 9. and a signal enhancement module.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples. In which like parts are designated by like reference numerals. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
As shown in fig. 1, the electronic T-card terminal control system of the present embodiment includes:
the electronic T card 1 is used for storing identity information of a single offshore wind power worker, and each offshore wind power worker executes tasks according to task information;
the vital sign detection module 2 is used for detecting heart rate, pulse, blood pressure, respiratory rate and blood oxygen concentration of the offshore wind power personnel in a task execution process in real time to obtain heart rate data, pulse data, blood pressure data, respiratory rate data and blood oxygen concentration data;
the environmental element detection module 3 is used for detecting the environmental humidity, the environmental temperature, the environmental air pressure, the environmental wind speed and the environmental wind direction of offshore wind power personnel in real time in the task execution process to obtain humidity data, temperature data, air pressure data, wind speed data and wind direction data;
the positioning module 4 is used for positioning offshore wind power personnel in real time to obtain positioning information;
the electronic T card terminal 5 is respectively connected with the electronic T card 1, the vital sign detection module 2, the environment element detection module 3 and the positioning module 4, and comprises:
the task allocation unit 51 is configured to allocate corresponding task information according to the identity information, where the task information includes an initial execution track, and the initial execution track includes a position coordinate of the fault area;
the first calculating unit 52 is configured to input the humidity data, the temperature data, the air pressure data, the wind speed data, and the wind direction data into a preset environmental state calculation formula to obtain an environmental state index;
the second calculating unit 53 is configured to input the heart rate data, the pulse data, the blood pressure data, the respiratory rate data, and the blood oxygen concentration data into a preset vital sign state calculation formula to obtain a vital state index;
the comprehensive processing unit 54 is respectively connected with the first calculating unit 52 and the second calculating unit 53, and is used for inputting the life state index and the environment state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
the call rescue unit 55 is connected with the comprehensive processing unit 54 and is used for generating a call instruction and a rescue instruction according to the comprehensive distress index and the positioning information;
the communication equipment 6 is connected with the electronic T card terminal 5 and used for calling offshore wind power personnel according to the calling instruction and enabling the offshore wind power personnel to carry out calling communication with the electronic T card terminal 5;
and the plurality of rescue devices 7 are distributed around the fault area, connected with the electronic T-card terminal 5 and used for rescuing the offshore wind power personnel to the location of the position coordinate corresponding to the positioning information according to the rescue instruction.
Specifically, in this embodiment, data transmission is performed between the electronic T-card 1 and the electronic T-card terminal 5 in a near field communication manner. Before the offshore wind power personnel execute the task, the offshore wind power personnel need to hold the electronic T card 1 to obtain the task information on the electronic T card terminal 5. The task allocation unit 51 in the electronic T-card terminal 5 reads the identity information in the electronic T-card 1, and then allocates task information to the offshore wind power personnel according to the identity information, and the offshore wind power personnel start to execute tasks according to the initial execution track in the task information. The vital sign detection module 2 and the environmental element detection module 3 perform data transmission with the electronic T-card terminal 5 in a wireless communication mode. The positioning module 4 is arranged on the body of the offshore wind power personnel and used for positioning the offshore wind power personnel in real time, generating positioning information and sending the positioning information to the electronic T-card terminal 5. The vital sign detection module 2 and the environmental element detection module 3 are both worn on the body of the offshore wind power personnel, and detect the vital signs and the external environment of the offshore wind power personnel respectively after the offshore wind power personnel start to execute tasks, so that heart rate data, pulse data, blood pressure data, respiratory frequency data, blood oxygen concentration data, humidity data, temperature data, air pressure data, air speed data and wind direction data are obtained and sent to the electronic T card terminal 5. A first calculating unit 52 in the electronic T card terminal 5 calculates a vital state index for representing vital signs of offshore wind power personnel according to the heart rate data, the pulse data, the blood pressure data, the respiratory rate data and the blood oxygen concentration data; a second calculation unit 53 in the electronic T-card terminal 5 calculates an environmental state index indicating a real-time external environmental state from the humidity data, the temperature data, the air pressure data, the wind speed data, and the wind direction data; and the comprehensive calculation unit in the electronic T card terminal 5 inputs the life state index and the environment state index into the distress index processing model to obtain a comprehensive distress index. The calling rescue unit 55 in the electronic T-card terminal 5 generates a calling instruction and a rescue instruction according to the comprehensive distress index, the communication equipment 6 calls the offshore wind power personnel according to the calling instruction and waits for a response, and the plurality of rescue equipment 7 conduct rescue according to the rescue instruction and go to the location of the position coordinate of the latest sent positioning information. In this embodiment, the comprehensive distress index can be combined with the vital sign state and the external environment state and comprehensively processed, so that the distress condition of the offshore wind power personnel can be represented more accurately, the accuracy of judgment of the distress condition of the offshore wind power personnel is improved, and the invalid rescue can be avoided while the construction safety of the offshore wind power personnel is ensured.
Preferably, a preset environment prediction index is configured at each position coordinate point on the initial execution trajectory, and the electronic T-card terminal 5 further includes a trajectory modification unit 56, which is respectively connected to the task allocation unit 51 and the first calculation unit 52, and includes:
the sampling subunit 561 is configured to sample the environment prediction index and the environment state index at each position coordinate point on the continuous trajectory after the offshore wind power worker moves along the initial execution trajectory by a continuous trajectory, so as to obtain a plurality of first sampling data and a plurality of corresponding second sampling data;
a calculating subunit 562, connected to the sampling subunit 561, for performing a difference between the first sampling data and the corresponding second sampling data to obtain a plurality of data difference values;
and the track generation subunit 563, connected to the computation subunit 562, is configured to generate a difference curve according to the plurality of data differences, and correct the initial execution track according to the difference curve to obtain a corrected track, where the corrected track includes the position coordinates of the fault area.
Specifically, in this embodiment, the sampling subunit 561 samples the environmental state index and the pre-configured environmental prediction index obtained by processing by the first calculating unit 52 when the offshore wind power personnel moves to each position coordinate point on the continuous trajectory, and respectively uses the sampled environmental state index and the pre-configured environmental prediction index as the second sampled data and the first sampled data, the calculating subunit 562 subtracts the first sampled data and the second sampled data to obtain a plurality of sets of data difference values, and the trajectory generating subunit 563 generates a difference curve according to the data difference values, and then corrects the initial execution trajectory according to the difference curve to generate a corrected trajectory. Through setting up orbit correction unit 56, can constantly revise initial execution orbit according to external environment situation, can avoid the path that the environment is abominable in advance, promote the security of marine wind power personnel's work.
Preferably, the environment state calculation formula is configured to:
abcd=25;
wherein E is n For representing an environmental status index;
a is used for representing a preset first coefficient, and the first coefficient is a constant;
b is used for representing a preset second coefficient which is a constant;
c is used for representing a preset third coefficient, and the third coefficient is a constant;
d is used for representing a preset fourth coefficient which is a constant;
h is used to represent humidity data;
t is used to represent temperature data;
P r for representing barometric pressure data;
W v for representing wind speed data;
W d for representing wind direction data.
Preferably, the vital sign state calculation formula is configured as:
V i =Ax(t)+By(t)+Cz(t)+Du(t)+Ev(t);
wherein, V i For representing a life state index;
t is used for representing the current time;
t is used for the data acquisition time of the vital sign sampling module;
x (t) is used to represent heart rate data at the current time;
y (t) is used to represent pulse data at the current time;
z (t) is used to represent blood pressure data at the current time;
u (t) is used to represent respiratory rate data at the current time;
v (t) is used to represent the blood oxygen concentration data at the current time.
Preferably, the integrated processing unit 54 includes:
the data storage subunit 541 is configured to store a plurality of sets of historical environment state data, historical life state data, and comprehensive calibration indexes at the same time;
the model training subunit 542 is connected to the data storage subunit 541, and is configured to train to obtain a distress index processing model by using the historical environment state data and the historical life state data as inputs and using the comprehensive calibration index as an output;
and the model output subunit 543, connected to the model training subunit 542, is configured to input the life state index and the environment state index at the current time into the distress index processing model, so as to obtain a comprehensive distress index.
Specifically, in this embodiment, the comprehensive calibration index is obtained by calibrating in advance according to the historical environment state data and the historical life state data and is stored in the data storage subunit 541, the model training subunit 542 extracts the historical environment state data, the historical life state data, and the corresponding comprehensive calibration index from the data storage subunit 541, and obtains a distress index processing model by training according to the historical environment state data, the historical life state data, and the corresponding comprehensive calibration index, and the final model output subunit 543 inputs the life state index and the environment state index obtained by real-time processing into the distress index processing model to obtain the comprehensive distress index.
Preferably, the system further comprises an identity verification module 8 connected with the electronic T-card terminal 5, and the identity verification module comprises:
the storage unit 81 is used for storing the association relationship between the biological characteristic information and the identity information of each offshore wind power worker;
the acquisition unit 82 is used for acquiring the biological characteristic information of offshore wind power personnel;
the matching unit 83 is respectively connected with the storage unit 81 and the acquisition unit 82 and is used for matching the acquired biological characteristic information with each identity information in the storage unit 81 to obtain a matching result;
when the matching result shows that the acquired biological characteristic information is matched in the storage unit 81 to obtain corresponding identity information, the task allocation unit 51 sends the task information to the electronic T card 1 by the electronic T card terminal 5.
Specifically, in this embodiment, the biometric information includes fingerprint information, face information, and iris information, and the identity information may be a work card number of each person. The storage unit 81 may be a nonvolatile memory. The acquisition unit 82 comprises a fingerprint identification module, a face recognition module and an iris identification module, and after the acquisition unit 82 acquires the biological characteristic information, the matching unit 83 matches the biological characteristic information with the identity information in the storage unit 81 and generates a corresponding matching result. When the matching result indicates that the biometric information has the identity information that can be matched to the corresponding identity information in the storage unit 81, the task assigning unit 51 sends the task information associated with the identity information to the electronic T-card 1, and when the matching result indicates that the biometric information does not have the identity information that match each other in the storage unit 81, the task assigning unit 51 does not send the task information to the electronic T-card 1.
Preferably, the system further comprises a signal enhancement module 9, which is respectively connected to the communication device 6, the electronic T-card terminal 5 and each rescue device 7, and is configured to receive the call instruction and the rescue instruction sent by the electronic T-card terminal 5, enhance the signals, and send the call instruction and the rescue instruction after signal enhancement to the communication device 6 and the rescue device 7, respectively.
Specifically, in this embodiment, the signal enhancement module 9 may be a signal amplifier, and is configured to amplify and enhance a signal of the call instruction and the rescue instruction, and is sent to the communication device 6 and the rescue device 7 in the dark, so that stability of communication is improved.
An electronic T-card terminal control method is applied to the electronic T-card terminal control system, as shown in fig. 2, and includes:
s1, an electronic T card 1 stores identity information of a single offshore wind power worker, a task allocation unit 51 allocates corresponding task information according to the identity information, the task information comprises a corresponding initial execution track, the initial execution track comprises position coordinates of a fault area, and each offshore wind power worker executes a task according to the task information;
s2, detecting heart rate, pulse, blood pressure, respiratory frequency and blood oxygen concentration of offshore wind power personnel in a task execution process in real time by a vital sign detection module 2 to obtain heart rate data, pulse data, blood pressure data, respiratory frequency data and blood oxygen concentration data, detecting environmental humidity, environmental temperature, environmental air pressure, environmental air speed and environmental air direction of the offshore wind power personnel in the task execution process in real time by an environmental element detection module 3 to obtain humidity data, temperature data, air pressure data, air speed data and air direction data, and positioning the offshore wind power personnel by a positioning module 4 to obtain positioning information in real time;
step S3, the first calculating unit 52 inputs the humidity data, the temperature data, the air pressure data, the air speed data and the air direction data into a preset environment state calculating formula to obtain an environment state index, and the second calculating unit 53 inputs the heart rate data, the pulse data, the blood pressure data, the respiratory frequency data and the blood oxygen concentration data into a preset vital sign state calculating formula to obtain a vital state index; the comprehensive processing unit 54 inputs the life state index and the environmental state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
and S4, the calling and rescuing unit 55 generates a calling instruction and a rescuing instruction according to the comprehensive distress index and the positioning information, the communication equipment 6 calls the offshore wind power personnel according to the calling instruction and provides the offshore wind power personnel with calling communication with the electronic T-card terminal 5, and the plurality of rescuing equipment 7 go to the position where the position coordinate corresponding to the positioning information is located according to the rescuing instruction to rescue the offshore wind power personnel.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention should also be considered as within the scope of the present invention.
Claims (9)
1. An electronic T card terminal control system is characterized in that:
the system comprises an electronic T card (1) and a task management module, wherein the electronic T card is used for storing identity information of a single offshore wind power worker, and each offshore wind power worker executes a task according to task information;
the vital sign detection module (2) is used for detecting heart rate, pulse, blood pressure, respiratory rate and blood oxygen concentration of the offshore wind power personnel in a task execution process in real time to obtain heart rate data, pulse data, blood pressure data, respiratory rate data and blood oxygen concentration data;
the environment element detection module (3) is used for detecting the environment humidity, the environment temperature, the environment air pressure, the environment wind speed and the environment wind direction of the offshore wind power personnel in the task execution process in real time to obtain humidity data, temperature data, air pressure data, wind speed data and wind direction data;
the positioning module (4) is used for positioning the offshore wind power personnel in real time to obtain positioning information;
an electronic T-card terminal (5) connected to the electronic T-card (1), the vital sign detection module (2), the environmental element detection module (3) and the positioning module (4), respectively, comprising:
the task allocation unit (51) is used for allocating corresponding task information according to the identity information, wherein the task information comprises an initial execution track, and the initial execution track comprises position coordinates of a fault area;
a first calculating unit (52) for inputting the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data into a preset environment state calculation formula to obtain an environment state index;
the second calculating unit (53) is used for inputting the heart rate data, the pulse data, the blood pressure data, the respiratory rate data and the blood oxygen concentration data into a preset vital sign state calculating formula to obtain a vital state index;
the comprehensive processing unit (54) is respectively connected with the first calculating unit (52) and the second calculating unit (53), and is used for inputting the life state index and the environment state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
the call rescue unit (55) is connected with the comprehensive processing unit (54) and is used for generating a call instruction and a rescue instruction according to the comprehensive distress index and the positioning information;
the communication equipment (6) is connected with the electronic T card terminal (5) and is used for calling the offshore wind power personnel according to the calling instruction and enabling the offshore wind power personnel to carry out calling communication with the electronic T card terminal (5);
and the plurality of rescue devices (7) are distributed around the fault area, connected with the electronic T-card terminal (5) and used for rescuing the offshore wind power personnel to the location of the position coordinate corresponding to the positioning information according to the rescue instruction.
2. The electronic T-card terminal control system according to claim 1, characterized in that: each position coordinate point on the initial execution track is configured with a preset environment prediction index, the electronic T-card terminal (5) further comprises a track correction unit (56) which is respectively connected with the task distribution unit (51) and the first calculation unit (52), and the method comprises the following steps:
the sampling subunit (561) is used for sampling the environment prediction index and the environment state index at each position coordinate point on the continuous track after the offshore wind power personnel moves along the initial execution track for a continuous track to obtain a plurality of first sampling data and a plurality of corresponding second sampling data;
a calculating subunit (562) connected to the sampling subunit (561) and configured to perform a difference between the first sampled data and the corresponding second sampled data to obtain a plurality of data difference values;
and the track generation subunit (563) is connected with the calculation subunit (562) and is configured to generate a difference curve according to the data differences, and correct the initial execution track according to the difference curve to obtain a corrected track, where the corrected track includes the position coordinates of the fault area.
3. The electronic T-card terminal control system according to claim 1, characterized in that: the environment state calculation formula is configured to:
abcd=25;
wherein E is n For representing the environmental status index;
a is used for representing a preset first coefficient, and the first coefficient is a constant;
b is used for representing a preset second coefficient which is a constant;
c is used for representing a preset third coefficient, and the third coefficient is a constant;
d is used for representing a preset fourth coefficient which is a constant;
h is used to represent the humidity data;
t is used to represent the temperature data;
P r for representing said air pressure data;
W v for representing the wind speed data;
W d forRepresenting the wind direction data.
4. The electronic T-card terminal control system according to claim 1, characterized in that: the vital sign state calculation formula is configured as:
V i =Ax(t)+By(t)+Cz(t)+Du(t)+Ev(t);
wherein, V i For representing the vital state index;
t is used to represent the current time;
t is used for the data acquisition time of the vital sign sampling module;
x (t) is used to represent the heart rate data at the current time;
y (t) is used to represent the pulse data at the current time;
z (t) is used to represent the blood pressure data at the current time;
u (t) is used to represent the respiratory rate data at the current time;
v (t) is used to represent the blood oxygen concentration data at the current time.
5. The electronic T-card terminal control system according to claim 1, characterized in that: the integrated processing unit (54) comprises:
the data storage subunit (541) is used for storing a plurality of groups of historical environmental state data, historical life state data and comprehensive calibration indexes at the same time;
the model training subunit (542) is connected with the data storage subunit (541) and is used for training the historical environment state data and the historical life state data to obtain the distress index processing model by taking the historical environment state data and the historical life state data as input and taking the comprehensive calibration index as output;
and the model output subunit (543) is connected with the model training subunit (542) and is used for inputting the life state index and the environment state index of the current moment into the distress index processing model to obtain the comprehensive distress index.
6. The electronic T-card terminal control system according to claim 1, characterized in that: still include identity verification module (8), connect electron T card terminal (5), include:
the storage unit (81) is used for storing the association relationship between the biological characteristic information of each offshore wind power personnel and the identity information;
the acquisition unit (82) is used for acquiring the biological characteristic information of the offshore wind power personnel;
the matching unit (83) is respectively connected with the storage unit (81) and the acquisition unit (82) and is used for matching the acquired biological characteristic information with each piece of identity information in the storage unit (81) to obtain a matching result;
and when the matching result shows that the acquired biological characteristic information is matched in the storage unit (81) to obtain the corresponding identity information, the electronic T-card terminal (5) sends the task information to the electronic T-card (1) by the task allocation unit (51).
7. The electronic T-card terminal control system according to claim 1, characterized in that: the system is characterized by further comprising a signal enhancement module (9) which is respectively connected with the communication equipment (6), the electronic T-card terminal (5) and each rescue equipment (7) and used for receiving the calling instruction and the rescue instruction sent by the electronic T-card terminal (5), enhancing the signals and respectively sending the calling instruction and the rescue instruction after the signals are enhanced to the communication equipment (6) and the rescue equipment (7).
8. The electronic T-card terminal control system according to claim 1, characterized in that: the call rescue unit (55) comprises:
the comparison subunit is used for comparing the comprehensive distress index with a preset distress threshold value to obtain a comparison result;
and the generating subunit is connected with the comparing subunit and is used for generating the call instruction and generating the rescue instruction according to the latest received positioning information when the comparison result shows that the comprehensive distress index is greater than the distress threshold.
9. An electronic T-card terminal control method applied to the electronic T-card terminal control system of any one of claims 1 to 8, characterized by comprising:
s1, an electronic T card (1) stores identity information of a single offshore wind power worker, a task allocation unit (51) allocates corresponding task information according to the identity information, the task information comprises a corresponding initial execution track, the initial execution track comprises position coordinates of a fault area, and each offshore wind power worker executes a task according to the task information;
s2, a vital sign detection module (2) detects heart rate, pulse, blood pressure, respiratory rate and blood oxygen concentration of the offshore wind power personnel in a task execution process in real time to obtain heart rate data, pulse data, blood pressure data, respiratory rate data and blood oxygen concentration data, an environment element detection module (3) detects environment humidity, environment temperature, environment air pressure, environment wind speed and environment wind direction of the offshore wind power personnel in the task execution process in real time to obtain humidity data, temperature data, air pressure data, wind speed data and wind direction data, and a positioning module (4) positions the offshore wind power personnel in real time to obtain positioning information;
s3, a first calculating unit (52) inputs the humidity data, the temperature data, the air pressure data, the wind speed data and the wind direction data into a preset environment state calculating formula to obtain an environment state index, and a second calculating unit (53) inputs the heart rate data, the pulse data, the blood pressure data, the respiratory frequency data and the blood oxygen concentration data into a preset vital sign state calculating formula to obtain a vital state index; the comprehensive processing unit (54) inputs the life state index and the environment state index into a pre-trained distress index processing model to obtain a comprehensive distress index;
and S4, a calling and rescuing unit (55) generates a calling instruction and a rescuing instruction according to the comprehensive distress index and the positioning information, a communication device (6) calls the offshore wind power personnel according to the calling instruction and provides the offshore wind power personnel and the electronic T-card terminal (5) for calling communication, and a plurality of rescuing devices (7) go to the position where the position coordinate corresponding to the positioning information is located according to the rescuing instruction to rescue the offshore wind power personnel.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210802994.3A CN115243404B (en) | 2022-07-07 | 2022-07-07 | Electronic T card terminal control system and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210802994.3A CN115243404B (en) | 2022-07-07 | 2022-07-07 | Electronic T card terminal control system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115243404A true CN115243404A (en) | 2022-10-25 |
CN115243404B CN115243404B (en) | 2024-01-16 |
Family
ID=83672055
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210802994.3A Active CN115243404B (en) | 2022-07-07 | 2022-07-07 | Electronic T card terminal control system and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115243404B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116369876A (en) * | 2023-04-13 | 2023-07-04 | 中国人民解放军空军特色医学中心 | Pilot distress call device |
CN116509343A (en) * | 2023-04-13 | 2023-08-01 | 中国人民解放军空军特色医学中心 | Method for calling for help of pilot |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104134263A (en) * | 2014-08-06 | 2014-11-05 | 中国海洋石油总公司 | T-shaped card management system for lifeboat and use method for T-shaped card management system |
WO2018000748A1 (en) * | 2016-06-28 | 2018-01-04 | 深圳大学 | Maritime navigation rescue system based on beidou satellite |
CN109956011A (en) * | 2017-12-26 | 2019-07-02 | 刘方旭 | A kind of rescue system for rescue at sea |
CN110045406A (en) * | 2019-04-25 | 2019-07-23 | 大连海事大学 | A kind of portable positioning device for maritime peril personnel |
CN111126734A (en) * | 2018-10-31 | 2020-05-08 | 中国能源建设集团广东省电力设计研究院有限公司 | Offshore wind farm dispatching management system |
CN114186650A (en) * | 2021-12-10 | 2022-03-15 | 北京比福特科技发展有限公司 | Maritime personnel emergency management system and management method |
CN114462481A (en) * | 2021-12-24 | 2022-05-10 | 山东浪潮工业互联网产业股份有限公司 | Personnel safety monitoring method and equipment based on machine learning |
-
2022
- 2022-07-07 CN CN202210802994.3A patent/CN115243404B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104134263A (en) * | 2014-08-06 | 2014-11-05 | 中国海洋石油总公司 | T-shaped card management system for lifeboat and use method for T-shaped card management system |
WO2018000748A1 (en) * | 2016-06-28 | 2018-01-04 | 深圳大学 | Maritime navigation rescue system based on beidou satellite |
CN109956011A (en) * | 2017-12-26 | 2019-07-02 | 刘方旭 | A kind of rescue system for rescue at sea |
CN111126734A (en) * | 2018-10-31 | 2020-05-08 | 中国能源建设集团广东省电力设计研究院有限公司 | Offshore wind farm dispatching management system |
CN110045406A (en) * | 2019-04-25 | 2019-07-23 | 大连海事大学 | A kind of portable positioning device for maritime peril personnel |
CN114186650A (en) * | 2021-12-10 | 2022-03-15 | 北京比福特科技发展有限公司 | Maritime personnel emergency management system and management method |
CN114462481A (en) * | 2021-12-24 | 2022-05-10 | 山东浪潮工业互联网产业股份有限公司 | Personnel safety monitoring method and equipment based on machine learning |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116369876A (en) * | 2023-04-13 | 2023-07-04 | 中国人民解放军空军特色医学中心 | Pilot distress call device |
CN116509343A (en) * | 2023-04-13 | 2023-08-01 | 中国人民解放军空军特色医学中心 | Method for calling for help of pilot |
Also Published As
Publication number | Publication date |
---|---|
CN115243404B (en) | 2024-01-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN115243404B (en) | Electronic T card terminal control system and method | |
CN108319930B (en) | Identity authentication method, system, terminal and computer readable storage medium | |
CN108334827B (en) | Gait identity authentication method based on intelligent shoe and intelligent shoe | |
CN111950437B (en) | Gait recognition method and device based on deep learning model and computer equipment | |
CN112330623A (en) | Method and device for detecting alignment degree of pole pieces of battery cell pole group | |
CN108958482B (en) | Similarity action recognition device and method based on convolutional neural network | |
CN104573462A (en) | Fingerprint and voiceprint dual-authentication method and fingerprint and voiceprint collector | |
CN110176025B (en) | Invigilator tracking method based on posture | |
CN114221981B (en) | Big data-based fire safety emergency system for energy storage power station | |
CN206505410U (en) | A kind of real-time voice intertranslation device | |
CN109965851A (en) | A kind of human motion fatigue detection system based on multi-physiological-parameter | |
CN117594253B (en) | Personnel health early warning method and system based on intelligent monitoring equipment | |
CN116702940B (en) | Navigation speed optimization method and system | |
CN110941992A (en) | Smile expression detection method and device, computer equipment and storage medium | |
CN116092199A (en) | Employee working state identification method and identification system | |
CN112135103A (en) | Unmanned aerial vehicle safety monitoring system and method based on big data | |
CN115272892A (en) | Unmanned aerial vehicle positioning deviation monitoring management and control system based on data analysis | |
CN109993108A (en) | Gesture error correction method, system and device under a kind of augmented reality environment | |
CN116028670B (en) | Cloud edge cooperative intelligent detection injury classification system | |
CN107643908A (en) | Voice application trigger control method, device and terminal | |
CN109472289B (en) | Key point detection method and device | |
CN108596150A (en) | A kind of Activity recognition system and its working method excluding abnormal operation | |
CN114120438A (en) | Human motion posture detection method and device | |
CN210297761U (en) | Sheep behavior monitoring system based on action recognition | |
CN209751024U (en) | plateau assistant device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |