CN117132078A - Personnel safety state intelligent supervision method and system based on offshore wind power project - Google Patents

Personnel safety state intelligent supervision method and system based on offshore wind power project Download PDF

Info

Publication number
CN117132078A
CN117132078A CN202311220102.XA CN202311220102A CN117132078A CN 117132078 A CN117132078 A CN 117132078A CN 202311220102 A CN202311220102 A CN 202311220102A CN 117132078 A CN117132078 A CN 117132078A
Authority
CN
China
Prior art keywords
crewman
crew
working
current
information
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.)
Pending
Application number
CN202311220102.XA
Other languages
Chinese (zh)
Inventor
章巍
储著宇
徐昊
刘军武
赵龙翔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Zheneng Linhai Offshore Wind Power Generation Co ltd
Original Assignee
Zhejiang Zheneng Linhai Offshore Wind Power Generation Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Zheneng Linhai Offshore Wind Power Generation Co ltd filed Critical Zhejiang Zheneng Linhai Offshore Wind Power Generation Co ltd
Priority to CN202311220102.XA priority Critical patent/CN117132078A/en
Publication of CN117132078A publication Critical patent/CN117132078A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398Performance of employee with respect to a job function
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Manufacturing & Machinery (AREA)
  • Computer Security & Cryptography (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a personnel safety state intelligent supervision method and system based on an offshore wind power project, which solve the problems that personnel safety is influenced and even normal operation of an operation ship is influenced because personnel cannot report in time after physical condition problems occur, and the method comprises the following steps: acquiring crew identity information and physical condition information; analyzing whether the relevant parameter value of the physical condition of the crewman is in the safety interval range according to the corresponding relation between the age range of the crewman, the specific identity and the safety interval range of the relevant parameter of the physical condition of the crewman and the physical condition information of the crewman; if not, the position and the working position of the corresponding crew are obtained, temporary working information is sent to the terminal held by the corresponding crew, and shift information is sent to the terminal held by the crew replacing the current working position of the corresponding crew. The application has the following effects: the physical condition safety of the crewman is guaranteed, and the normal operation of the ship in the subsequent operation is better guaranteed.

Description

Personnel safety state intelligent supervision method and system based on offshore wind power project
Technical Field
The application relates to the technical field of offshore wind power, in particular to a personnel safety state intelligent supervision method and system based on an offshore wind power project.
Background
The development and utilization of renewable energy sources in China are taken as important components of energy strategy, and research shows that the offshore wind energy resources are about N times of that of land wind power, the offshore wind power is very close to the coastal load center, the wind energy resources are rich, the traffic and access system conditions are convenient, the problem of long-distance transmission is avoided, and the renewable energy sources are easier to be absorbed, so that an offshore wind power plant becomes the next rapidly developed energy market, and the offshore wind power project is also expected to grow in an explosive manner.
The construction and work of offshore wind power projects require operation ships, and personnel safety conditions on the operation ships are monitored mainly by self-help report of self conditions of the personnel.
With respect to the related art in the above, the inventors found that there are the following drawbacks: the self-help report of the self-condition of the shipmen is easy and not timely, and the self-help report of the self-condition of the shipmen is not known, so that the self-help report of the self-condition of the shipmen cannot be timely performed after the problem of the self-help report of the self-condition occurs, the safety of personnel is affected, and even the normal operation of the operation ship is affected.
Disclosure of Invention
The application provides a personnel safety state intelligent supervision method and system based on offshore wind power projects in order to better ensure the physical condition safety of crews and simultaneously better ensure the normal operation of subsequent operation ships.
In a first aspect, the application provides a personnel safety state intelligent supervision method based on an offshore wind power project, which adopts the following technical scheme:
an intelligent personnel safety state supervision method based on an offshore wind power project comprises the following steps:
the method comprises the steps of obtaining crewman identity information and physical condition information, wherein the crewman identity information comprises a specific identity, a working post and an age group of a crewman;
analyzing whether the relevant parameter value of the physical condition of the crewman is in the safety interval range according to the corresponding relation between the age range of the crewman, the specific identity and the safety interval range of the relevant parameter of the physical condition of the crewman and the physical condition information of the crewman;
if not, the position and the working position of the corresponding crew are obtained, temporary working information is sent to the terminal held by the corresponding crew, and shift information is sent to the terminal held by the crew replacing the current working position of the corresponding crew.
By adopting the technical scheme, the parameter standards corresponding to the physical conditions of the crews are fully considered to be different due to the relations of the age groups and the working posts, and whether the physical conditions of the crews can support subsequent works or not can be effectively analyzed through the establishment of the corresponding relations between the age groups and the specific identities of the crews and the safety interval ranges of the parameters related to the physical conditions, and the corresponding crews can be timely notified to stop working on the premise that the physical conditions of the crews are insufficient for supporting the subsequent works, and timely notified to the replaced crews, so that the safety of the personnel is ensured, and meanwhile, the normal work of the subsequent operation ship is better ensured.
Optionally, the intelligent personnel safety state supervision method based on the offshore wind power project further includes the steps of parallel to acquiring the positions and the working positions of the corresponding crews, sending temporary working information to the terminals held by the corresponding crews, and sending shift changing information to the terminals held by the crews replacing the current working positions of the corresponding crews, and specifically includes the following steps:
analyzing the body condition severity value of the crewman according to the age range of the crewman, the corresponding relation between the specific identity and the interval range of the body condition related parameter and the body condition severity value;
and analyzing and determining the rescue scheme of the corresponding crew according to the corresponding relation between the range of the section where the physical condition severity value of the crew is located and the rescue scheme.
By adopting the technical scheme, the current physical condition of the crewman is analyzed for the severity value, and the rescue scheme is matched according to the severity value, so that the physical safety of the crewman can be better ensured, and the situation that the crewman cannot be timely and effectively rescued when the severity value of the physical condition of the crewman is higher is avoided.
Optionally, the sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew includes:
according to the corresponding relation between the interval range where the physical condition severity value of the crewman is located and the time range where the shift information notification is successful and the physical condition severity value of the crewman, analyzing and determining the time range where the shift information notification is successful;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
By adopting the technical scheme, the degree of severity of the physical condition of the crew member is fully considered to have stronger association with the timely effectiveness of notifying the shift crew member, and the timely effectiveness of notifying the shift crew member is also associated with the notification mode, so that the timely and effective replacement effectiveness of the replacement crew member can be better ensured by the proper notification mode.
Optionally, the sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew includes:
according to the corresponding relation between the working positions and the influence values and the working positions of the corresponding crews, analyzing and determining the influence values of the working positions of the corresponding crews;
according to the corresponding relation between the interval range where the influence degree of the working position of the crewman is located and the time range where the shift information notification is successful and the working position of the crewman, analyzing and determining the time range where the shift information notification is successful;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
By adopting the technical scheme, the timely effectiveness of informing the shift crewman is fully considered to be related to the influence degree of the working stations, the more important the working stations with high influence degree are, the better the effectiveness of the replacement is, and the effectiveness of the substitution of the crewman can be better ensured by adopting a proper informing mode.
Optionally, the sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew includes:
according to the corresponding relation between the working positions and the influence values and the working positions of the corresponding crews, analyzing and determining the influence values of the working positions of the corresponding crews;
according to the corresponding relation between the interval range of the influence degree of the working position of the crewman, the interval range of the physical condition severity value of the crewman and the time range of successful notification of shift information, the physical condition severity value of the crewman and the working position of the crewman, analyzing and determining the time range of successful notification of shift information;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
By adopting the technical scheme, the timely effectiveness of notifying shift crews and the severity of the physical conditions of the crews and the influence degree of the working posts are comprehensively considered, and the effectiveness of replacing the crews by the corresponding working posts can be better ensured by a proper notification mode, so that the normal operation of the subsequent operation ship is better ensured.
Optionally, the analysis determination of the crew replacing the current working position of the corresponding crew includes:
acquiring the effective working time length of a crewman at a current position and a plurality of alternative crewmans, which receive temporary working information, and defining the alternative crewman to be a plurality of alternative crewmans;
and analyzing the replaced crewman with the longest effective working duration as the crewman receiving the shift change information.
By adopting the technical scheme, the experience degree of the replacement crews is fully considered under the condition that a plurality of replacement crews exist, and the experience degree is indirectly confirmed through the effective working time, so that the crews with highest experience degree are screened out to serve as the replacement crews, and the replacement crews can indirectly ensure the normal operation of the operation ship.
Optionally, the analysis of the working effective duration of the crew at the current station is as follows:
acquiring the actual working time of a shipman at the current position, the trained time at the current position and the working time of actively simulating the current position through virtual reality;
and according to the conversion duty ratio and the accumulated time length of the different types of working time lengths, analyzing the effective time lengths of the different types of working time lengths one by one, and adding the effective time lengths to obtain the sum which is used as the working effective time length of the crewman at the current position.
By adopting the technical scheme, the effective working time length of the crewman is fully considered to be not only limited to the actual working time length of the crewman, but also the training time length and the time length simulated by simulation reality are considered together, so that the effective working time length of the crewman at the current post is better analyzed and determined, and the accuracy of screening the crewman with highest experience degree as a substitute crewman is improved.
Optionally, the obtaining of the conversion duty ratio of the different class operation time periods includes:
acquiring coverage of relevant training content of a shipman in a current position to cover the content of the current position, and actively simulating coverage of relevant current position work content of the shipman through virtual reality to cover the content of the current position;
according to the preset corresponding relation between the crewman and the work conversion rate of different types, the coverage of the current post content covered by the training related content of the crewman at the current post, and the coverage of the current post content covered by the current post work related content actively simulated by the crewman through virtual reality, the conversion duty ratio of the crewman at the work time of different types is analyzed and determined.
By adopting the technical scheme, the accumulated working time lengths of the different forms of participation work of the crewman are fully considered to be different, the accumulated working time lengths are related to the learning ability of the crewman and the working contents related to the participation work, the conversion duty ratio of the working time lengths of different types is analyzed more accurately by the mode, and the analysis of the experience degree of the crewman is indirectly improved.
In a second aspect, the application provides a personnel safety state intelligent supervision system based on an offshore wind power project, which adopts the following technical scheme:
an intelligent personnel safety state monitoring system based on an offshore wind project comprises a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program can be loaded and executed by the processor to realize the intelligent personnel safety state monitoring method based on the offshore wind project according to the first aspect.
Through adopting above-mentioned technical scheme, through the calling of procedure, fully consider the crewman because of the relation of age bracket, job post, the parameter standard that the health corresponds is different, through the establishment of the age bracket that the crewman is located, specific identity and the safety interval scope correspondence of health related parameter, can effectively analyze whether the health of crewman can support subsequent work, and under the prerequisite that the health of crewman is insufficient to support subsequent work, can in time inform corresponding crewman to stop working to in time inform the investigation crewman of substitution, ensured personnel's safety, and better guarantee the normal work of follow-up operation boats and ships simultaneously.
In summary, the beneficial technical effects of the application are as follows:
1. real-time supervision of the physical condition of the personnel is more objectively realized, and relevant crews can be timely arranged to stop working after the physical condition of the personnel has a safety problem;
2. after stopping the work of the relevant shipmen, proper replacement shipmen with most working experience can be arranged in time for replacement, and the subsequent normal operation of the operation ship is ensured.
Drawings
Fig. 1 is a schematic overall flow chart of a personnel safety state intelligent supervision method based on an offshore wind power project according to an embodiment of the application.
FIG. 2 is a flow chart of the steps performed in parallel with acquiring the location and work position of the corresponding crew, sending temporary work information to the terminal of the corresponding crew, and sending shift information to the terminal of the crew in place of the current work position of the corresponding crew according to another embodiment of the present application.
Fig. 3 is a flow chart of another embodiment of the present application for transmitting shift information to a crew-held terminal that replaces the current job position of the corresponding crew.
Fig. 4 is a flow chart of another embodiment of the present application for transmitting shift information to a crew-held terminal that replaces the current job position of the corresponding crew.
Fig. 5 is a flow chart of another embodiment of the present application for transmitting shift information to a crew-held terminal that replaces the current job position of the corresponding crew.
FIG. 6 is a flow chart of an analytical determination of a crew member in place of the current job position of the corresponding crew member in accordance with another embodiment of the application.
FIG. 7 is a schematic diagram of an analysis flow of effective duration of work of crews at the current station according to another embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the application discloses a personnel safety state intelligent supervision method based on an offshore wind power project, which comprises the following steps:
step S100, the identity information and the physical condition information of the crewman are acquired.
The crewman identity information comprises a specific crewman identity, a working post and an age group, and can adopt a crewman identity electronic tag to realize the input of the crewman identity information; the physical condition information of the crewmember includes, but is not limited to, blood pressure, heart rate, respiration condition and body temperature, and the physical condition information of the crewmember can be detected and input through the smart watch or the bracelet in real time.
Step S200, according to the corresponding relation between the age bracket of the shipman, the specific identity and the safety interval range of the physical condition related parameter and the physical condition information of the shipman, analyzing whether the related parameter value of the physical condition of the shipman is in the safety interval range.
Wherein, whether the relevant parameter value of the physical condition of the crewman is in the safety interval range is analyzed as follows: taking the specific identity of the shipman and the age bracket of the shipman as common query objects, analyzing and acquiring the safety interval range of the physical condition related parameter from a preset database storing the corresponding relation between the age bracket of the shipman and the safety interval range of the physical condition related parameter, and analyzing whether the physical condition information of the shipman falls into the safety interval range of the physical condition related parameter.
And step S300, if not, acquiring the position and the working position of the corresponding crew, sending temporary working information to the terminal held by the corresponding crew, and sending shift changing information to the terminal held by the crew replacing the current working position of the corresponding crew.
The terminal held by the crewman can be a mobile phone, a computer or other communicable equipment, and the analysis for replacing the corresponding crewman is as follows: searching and acquiring the crew members except the current crew member from a preset database storing the corresponding relation between the working positions and the crew members, and taking the crew members except the current crew member as the replaced crew members.
In step S300 of fig. 1, further consideration is given to the fact that the physical condition of the crew member is poor, and that a timely and effective rescue is also required to ensure the physical safety of the crew member, which is described in detail with reference to the embodiment shown in fig. 2.
Referring to fig. 2, the intelligent personnel safety state supervision method based on the offshore wind power project further includes the steps of parallel to acquiring the position and the working position of the corresponding crew, sending temporary working information to the terminal held by the corresponding crew, and sending shift changing information to the terminal held by the crew replacing the current working position of the corresponding crew, specifically including the following steps:
step SA00, analyzing the severity value of the physical condition of the crew member according to the age group of the crew member, the correspondence between the specific identity and the range of the interval where the parameter related to the physical condition is located and the severity value of the physical condition.
Wherein the analysis of the crewman's body condition severity value is as follows: the method comprises the steps of taking the age range and the specific identity of a shipman as query objects, searching and acquiring the range and the severity value of the physical condition of the shipman from a preset database storing the corresponding relation between the age range and the specific identity of the shipman and the range and severity value of the physical condition of the range of the physical condition related parameter, and analyzing and determining the severity value of the physical condition of the shipman.
Step SB00, analyzing and determining the rescue scheme of the corresponding crew according to the corresponding relation between the range of the section where the physical condition severity value of the crew is located and the rescue scheme.
Wherein, the analysis of the rescue plan of the corresponding crewman is determined as follows: taking the interval range of the physical condition severity value of the crew as a query object, and querying and acquiring the rescue scheme of the corresponding crew from a preset database storing the corresponding relation between the interval range of the physical condition severity value of the crew and the rescue scheme.
For example, the severity value of the physical condition of the crew is very serious, and the rescue scheme is that rescue information is sent to a command center through the Beidou RDSS function, so that the response speed of rescue and the success rate of search and rescue are improved.
In step S300 of fig. 1, further consideration is given to informing the replacement crew of the degree of severity of the physical condition of the crew to be replaced, so that further analysis of the terminal carried by the crew for transmitting shift information to the current working position of the replacement crew is required, and detailed description is made with reference to the embodiment shown in fig. 3.
Referring to fig. 3, transmitting shift information to a crew-held terminal that replaces the current work station of the corresponding crew includes:
step S310, analyzing and determining the time range of successful notification of shift information according to the corresponding relation between the interval range of the physical condition severity value of the crewman and the time range of successful notification of shift information and the physical condition severity value of the crewman.
The analysis of the time range of successful notification of shift information is determined as follows: analyzing the range of the interval where the physical condition severity value of the crew is located, then taking the range of the interval where the physical condition severity value of the crew is located as a query object, and querying and acquiring the time range of successful notification of the shift information from a preset database storing the corresponding relation between the range of the physical condition severity value of the crew and the time range of successful notification of the shift information.
Step S320, analyzing and determining the notification mode according to the corresponding relation between the time range of successful notification of shift information and the notification mode.
The notification mode may be a dial notification, a short message notification, or other communication modes, and analysis of the notification mode is determined as follows: and taking the time range of successful notification of the shift information as a query object, and querying and acquiring the notification mode from a preset database storing the corresponding relation between the time range of successful notification of the shift information and the notification mode.
And step S330, the shift change information is sent to the terminal held by the crew for replacing the current working position of the corresponding crew according to the analyzed and determined notification mode.
The terminal held by the crewman can be a mobile phone or a computer, and can also be other equipment capable of interactive communication.
In step S300 of fig. 1, further consideration is given to informing the replacement crew of the timeliness and the influence of the working position of the crew to be replaced, so that further analysis of the terminal carried by the crew for transmitting the shift information to the current working position of the replacement crew is required, which is described in detail with reference to the embodiment shown in fig. 4.
Referring to fig. 4, transmitting shift information to a crew-held terminal that replaces the current work station of the corresponding crew includes:
and S3a0, analyzing and determining the influence degree of the working positions of the corresponding crews according to the corresponding relation between the working positions and the influence degree and the working positions of the corresponding crews.
Wherein, the analysis of the influence degree of the working posts of the corresponding crews is determined as follows: and inquiring and obtaining the influence degree of the working positions of the corresponding crews from a preset database storing the corresponding relation between the working positions and the influence degree by taking the working positions of the corresponding crews as inquiry objects.
For example, assuming the work position of the corresponding crew is a captain, the impact may exceed the crew whose work position is a water craft.
And S3b0, analyzing and determining the time range of successful notification of the shift information according to the corresponding relation between the interval range where the influence degree of the shift information is located and the time range of successful notification of the shift information and the shift information of the shift information.
The analysis of the time range of successful notification of shift information is determined as follows: and inquiring the time range for acquiring the shift information notification success from a database which is stored with the corresponding relation between the interval range where the influence degree of the working position of the shipman is and the time range where the shift information notification success is preset by taking the working position of the shipman as an inquiry object.
Step S3c0, analyzing and determining a notification mode according to the corresponding relation between the time range of successful notification of shift information and the notification mode.
Step S3c0 is similar to step S320, and will not be described here.
And step S3d0, transmitting shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
Step S3d0 is similar to step S330, and will not be described herein.
In step S300 of fig. 1, further analysis of the terminal carried by the crew who sends the shift information to the current working position of the replacement crew is needed, and detailed description is made with reference to the embodiment shown in fig. 5, further considering that the timely validity of notifying the replacement crew should also consider the influence of the working position of the replacement crew and the severity of the physical condition of the replacement crew.
Referring to fig. 5, transmitting shift information to a crew-held terminal that replaces the current work station of the corresponding crew includes:
and S3A0, analyzing and determining the influence degree of the working positions of the corresponding crews according to the corresponding relation between the working positions and the influence degree and the working positions of the corresponding crews.
Step S3A0 is similar to step S3A0, and will not be described herein.
And S3B0, analyzing and determining the time range of successful notification of the shift information according to the corresponding relation between the interval range of the influence degree of the working position of the shift information, the interval range of the physical condition severity value of the shift information and the time range of successful notification of the shift information, the physical condition severity value of the shift information and the working position of the shift information.
The analysis of the time range of successful notification of shift information is as follows: taking the interval range where the influence degree of the working post of the shipman is located and the interval range where the physical condition severity value of the shipman is located as common query objects, and querying and acquiring the time range where the notification of the shift information is successful from a database which is stored with the preset correspondence relationship between the interval range where the influence degree of the working post of the shipman is located, the interval range where the physical condition severity value of the shipman is located and the time range where the notification of the shift information is successful.
And step S3C0, analyzing and determining a notification mode according to the corresponding relation between the time range of successful notification of shift information and the notification mode.
Step S3C0 is similar to step S320, and will not be described here.
And S3D0, sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
Step S3D0 is similar to step S330, and will not be described here.
In step S300 of fig. 1, further analysis of the analysis determination of the crew replacing the current work position of the corresponding crew is needed, considering further that in the case of a plurality of replacement crew, the experience of the crew should be analyzed, and the detailed description will be made with reference to the embodiment shown in fig. 6.
Referring to fig. 6, the analytical determination of the crew replacing the current job position of the corresponding crew includes:
step S3D1, acquiring the effective working time length of the crewman at the current position and the effective working time length of the substitute crewman at the current position, and defining the substitute crewman as a plurality.
The effective working time length of the crewman at the current position after receiving the temporary working information can be obtained by inquiring a system storing the working time length of the crewman, and the effective working time length of the crewman at the current position can be obtained by inquiring the system storing the working time length of the crewman.
And S3D2, analyzing the substitute crew with the longest effective working duration as the crew who receives the shift change information.
In step S3D0 of fig. 6, further consideration is given to the effective working time period of the crew at the current position, and further consideration should be given to the training time period and the simulated training time period attended by the crew, so that further analysis is required for the effective working time period of the crew at the current position, and detailed description is specifically made with reference to the embodiment shown in fig. 7.
Referring to fig. 7, the analysis of the working effective duration of the crew at the current station is as follows:
step Sa00, obtaining the actual working time of a crew at the current position, the trained time at the current position and the working time of actively simulating the working at the current position through virtual reality.
The time length of the training of the shipmen in the current position can be obtained by inquiring a database storing the time length of the training of the shipmen in the current position, and the working time length of the shipmen actively simulating the working of the current position through virtual reality can be obtained by inquiring a database storing the working time length of the shipmen in the virtual reality.
And step Sb00, analyzing the effective time lengths of the different types of working time lengths one by one according to the conversion duty ratio and the accumulated time length of the different types of working time lengths, and adding the effective time lengths to obtain the sum which is used as the effective working time length of a shipman at the current position.
The effective time length of analyzing the working time lengths of different classes one by one is as follows: the conversion duty ratio of the different class operation time periods is multiplied by the corresponding class operation time period.
For example, the conversion ratio of the working duration of the current post working is actively simulated by virtual reality is 0.2, the working duration of the current post working is actively simulated by virtual reality is 100 hours, and then the effective duration of the corresponding class working duration is 20 hours.
Additionally, the conversion duty ratio of the different kinds of operation time periods is analyzed as follows:
the coverage of the relevant content of the training of the shipmen in the current position for covering the content of the current position is obtained, and the coverage of the relevant content of the current position work of the shipmen is actively simulated through virtual reality for covering the content of the current position.
The coverage of the relevant content of the training of the shipman in the current position to the current position content can be obtained by inquiring a database storing the coverage of the relevant content of the training of the shipman in the current position to the current position content; the coverage of the current post content by the crewman actively simulating the current post work related content through the virtual reality may be obtained by querying a database storing the coverage of the current post content by the crewman actively simulating the current post work related content through the virtual reality.
According to the preset corresponding relation between the crewman and the work conversion rate of different types, the coverage of the current post content covered by the training related content of the crewman at the current post, and the coverage of the current post content covered by the current post work related content actively simulated by the crewman through virtual reality, the conversion duty ratio of the crewman at the work time of different types is analyzed and determined.
The conversion duty ratio of the training of the crewmember at the current position is calculated as follows: multiplying the coverage of the current post content covered by the training related content of the shipper in the current post by the conversion rate of the training of the shipper in the current post, for example, the coverage of the current post content covered by the training related content of the shipper in the current post is 40%, the conversion rate of the training of the shipper in the current post is 70%, and the conversion rate of the work of the shipper in the training is 28%.
Based on the same inventive concept, the embodiment of the application provides a personnel safety state intelligent supervision system based on an offshore wind power project, which comprises a memory and a processor, wherein a program capable of realizing any one of the methods shown in fig. 1 to 7 is stored in the memory.
The embodiments of the present application are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in this way, therefore: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.

Claims (9)

1. The intelligent personnel safety state supervision method based on the offshore wind power project is characterized by comprising the following steps of:
the method comprises the steps of obtaining crewman identity information and physical condition information, wherein the crewman identity information comprises a specific identity, a working post and an age group of a crewman;
analyzing whether the relevant parameter value of the physical condition of the crewman is in the safety interval range according to the corresponding relation between the age range of the crewman, the specific identity and the safety interval range of the relevant parameter of the physical condition of the crewman and the physical condition information of the crewman;
if not, the position and the working position of the corresponding crew are obtained, temporary working information is sent to the terminal held by the corresponding crew, and shift information is sent to the terminal held by the crew replacing the current working position of the corresponding crew.
2. The intelligent personnel safety state supervision method based on the offshore wind power project according to claim 1, further comprising the steps of, in parallel with acquiring the position and the working position of the corresponding crew, sending temporary working information to the terminal held by the corresponding crew, and sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew, specifically comprising the following steps:
analyzing the body condition severity value of the crewman according to the age range of the crewman, the corresponding relation between the specific identity and the interval range of the body condition related parameter and the body condition severity value;
and analyzing and determining the rescue scheme of the corresponding crew according to the corresponding relation between the range of the section where the physical condition severity value of the crew is located and the rescue scheme.
3. The method for intelligently supervising the personnel safety state based on the offshore wind power project according to claim 2, wherein the step of sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew comprises the steps of:
according to the corresponding relation between the interval range where the physical condition severity value of the crewman is located and the time range where the shift information notification is successful and the physical condition severity value of the crewman, analyzing and determining the time range where the shift information notification is successful;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
4. The method for intelligently supervising the personnel safety state based on the offshore wind power project according to claim 1, wherein the step of sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew comprises the steps of:
according to the corresponding relation between the working positions and the influence values and the working positions of the corresponding crews, analyzing and determining the influence values of the working positions of the corresponding crews;
according to the corresponding relation between the interval range where the influence degree of the working position of the crewman is located and the time range where the shift information notification is successful and the working position of the crewman, analyzing and determining the time range where the shift information notification is successful;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
5. The method for intelligently supervising the personnel safety state based on the offshore wind power project according to claim 2, wherein the step of sending shift information to the terminal held by the crew replacing the current working position of the corresponding crew comprises the steps of:
according to the corresponding relation between the working positions and the influence values and the working positions of the corresponding crews, analyzing and determining the influence values of the working positions of the corresponding crews;
according to the corresponding relation between the interval range of the influence degree of the working position of the crewman, the interval range of the physical condition severity value of the crewman and the time range of successful notification of shift information, the physical condition severity value of the crewman and the working position of the crewman, analyzing and determining the time range of successful notification of shift information;
according to the corresponding relation between the time range of successful notification of shift information and the notification mode, analyzing and determining the notification mode;
and sending shift change information to a terminal held by a crew who replaces the current working position of the corresponding crew according to the analyzed and determined notification mode.
6. The intelligent personnel safety state supervision method based on the offshore wind power project according to claim 5, wherein the analysis and determination of the crew replacing the current working post of the corresponding crew comprises:
acquiring the effective working time length of a crewman at a current position and a plurality of alternative crewmans, which receive temporary working information, and defining the alternative crewman to be a plurality of alternative crewmans;
and analyzing the replaced crewman with the longest effective working duration as the crewman receiving the shift change information.
7. The intelligent personnel safety state supervision method based on the offshore wind power project according to claim 6, wherein the analysis of the effective working time of the crew at the current position is as follows:
acquiring the actual working time of a shipman at the current position, the trained time at the current position and the working time of actively simulating the current position through virtual reality;
and according to the conversion duty ratio and the accumulated time length of the different types of working time lengths, analyzing the effective time lengths of the different types of working time lengths one by one, and adding the effective time lengths to obtain the sum which is used as the working effective time length of the crewman at the current position.
8. The intelligent personnel safety state supervision method based on the offshore wind power project according to claim 7, wherein the obtaining of the conversion duty ratio of the different types of working time periods comprises:
acquiring coverage of relevant training content of a shipman in a current position to cover the content of the current position, and actively simulating coverage of relevant current position work content of the shipman through virtual reality to cover the content of the current position;
according to the preset corresponding relation between the crewman and the work conversion rate of different types, the coverage of the current post content covered by the training related content of the crewman at the current post, and the coverage of the current post content covered by the current post work related content actively simulated by the crewman through virtual reality, the conversion duty ratio of the crewman at the work time of different types is analyzed and determined.
9. An intelligent personnel safety state monitoring system based on an offshore wind project, which comprises a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program can be loaded and executed by the processor to realize the intelligent personnel safety state monitoring method based on the offshore wind project according to any one of claims 1 to 8.
CN202311220102.XA 2023-09-20 2023-09-20 Personnel safety state intelligent supervision method and system based on offshore wind power project Pending CN117132078A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311220102.XA CN117132078A (en) 2023-09-20 2023-09-20 Personnel safety state intelligent supervision method and system based on offshore wind power project

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311220102.XA CN117132078A (en) 2023-09-20 2023-09-20 Personnel safety state intelligent supervision method and system based on offshore wind power project

Publications (1)

Publication Number Publication Date
CN117132078A true CN117132078A (en) 2023-11-28

Family

ID=88852788

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311220102.XA Pending CN117132078A (en) 2023-09-20 2023-09-20 Personnel safety state intelligent supervision method and system based on offshore wind power project

Country Status (1)

Country Link
CN (1) CN117132078A (en)

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104887207A (en) * 2015-06-05 2015-09-09 武汉理工大学 Ship conduction system on basis of internet of things
KR20160011426A (en) * 2014-07-22 2016-02-01 대우조선해양 주식회사 Emergency patient medical treatment management system and method of ship or offshore
CN107423900A (en) * 2017-07-27 2017-12-01 上海互海信息科技有限公司 A kind of crew management dispatches system and method
CN107590647A (en) * 2017-09-21 2018-01-16 大连君方科技有限公司 The servo supervisory systems of ship-handling system
CN108028548A (en) * 2016-06-24 2018-05-11 深圳市赛亿科技开发有限公司 Power supply and distribution safety monitoring method and system
JP2019106071A (en) * 2017-12-13 2019-06-27 三菱重工機械システム株式会社 Monitoring device, toll collection facility, monitoring method, and program
CN110522426A (en) * 2019-09-05 2019-12-03 大连海事大学 A kind of ship personnel behavior intelligent monitor system based on multisensor
CN111627124A (en) * 2020-05-28 2020-09-04 山东科技大学 Method for safety warning and automatic attendance checking of operating personnel
CN112007250A (en) * 2020-09-07 2020-12-01 中南大学 Feedback type personnel health guarantee system and method for high-altitude tunnel construction
CN112951391A (en) * 2021-02-01 2021-06-11 江苏医药职业学院 Intelligent nursing monitoring
US20210307621A1 (en) * 2017-05-29 2021-10-07 Saltor Pty Ltd Method And System For Abnormality Detection
KR20210138985A (en) * 2020-05-13 2021-11-22 대우조선해양 주식회사 System and method for managing of crew's health
TW202211865A (en) * 2020-09-18 2022-04-01 國立臺灣海洋大學 Method for personally physiological monitoring and system thereof
CN114881422A (en) * 2022-04-14 2022-08-09 福建省冶金工业设计院有限公司 Tailing pond safety risk grading evaluation method and system and storage medium
CN115130991A (en) * 2022-06-29 2022-09-30 山东中烟工业有限责任公司 Intelligent cigarette factory shift arrangement system and method
CN115727771A (en) * 2022-10-20 2023-03-03 福建慧舟信息科技有限公司 Intelligent sensing and early warning method and system for over-limit behavior of truck

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160011426A (en) * 2014-07-22 2016-02-01 대우조선해양 주식회사 Emergency patient medical treatment management system and method of ship or offshore
CN104887207A (en) * 2015-06-05 2015-09-09 武汉理工大学 Ship conduction system on basis of internet of things
CN108028548A (en) * 2016-06-24 2018-05-11 深圳市赛亿科技开发有限公司 Power supply and distribution safety monitoring method and system
US20210307621A1 (en) * 2017-05-29 2021-10-07 Saltor Pty Ltd Method And System For Abnormality Detection
CN107423900A (en) * 2017-07-27 2017-12-01 上海互海信息科技有限公司 A kind of crew management dispatches system and method
CN107590647A (en) * 2017-09-21 2018-01-16 大连君方科技有限公司 The servo supervisory systems of ship-handling system
JP2019106071A (en) * 2017-12-13 2019-06-27 三菱重工機械システム株式会社 Monitoring device, toll collection facility, monitoring method, and program
CN110522426A (en) * 2019-09-05 2019-12-03 大连海事大学 A kind of ship personnel behavior intelligent monitor system based on multisensor
KR20210138985A (en) * 2020-05-13 2021-11-22 대우조선해양 주식회사 System and method for managing of crew's health
CN111627124A (en) * 2020-05-28 2020-09-04 山东科技大学 Method for safety warning and automatic attendance checking of operating personnel
CN112007250A (en) * 2020-09-07 2020-12-01 中南大学 Feedback type personnel health guarantee system and method for high-altitude tunnel construction
TW202211865A (en) * 2020-09-18 2022-04-01 國立臺灣海洋大學 Method for personally physiological monitoring and system thereof
CN112951391A (en) * 2021-02-01 2021-06-11 江苏医药职业学院 Intelligent nursing monitoring
CN114881422A (en) * 2022-04-14 2022-08-09 福建省冶金工业设计院有限公司 Tailing pond safety risk grading evaluation method and system and storage medium
CN115130991A (en) * 2022-06-29 2022-09-30 山东中烟工业有限责任公司 Intelligent cigarette factory shift arrangement system and method
CN115727771A (en) * 2022-10-20 2023-03-03 福建慧舟信息科技有限公司 Intelligent sensing and early warning method and system for over-limit behavior of truck

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谢泰;刘晓荣;贺祥;陈国良;刘建;刘文宝;刘旭东;: "舰船人员舱内定位及生命体征监测系统研究", 医疗卫生装备, no. 03, 15 March 2016 (2016-03-15), pages 11 - 13 *

Similar Documents

Publication Publication Date Title
CN104539053B (en) Power dispatching automation polling robot and method based on reptile technology
CN102879791B (en) System for sensing activity data of elder person based on Beidou positioning terminal
CN107705042A (en) The method for inspecting and device of power equipment
CN108021625A (en) Vehicle abnormality aggregation ground monitoring method and system, computer-readable recording medium
CN107947968A (en) The treating method and apparatus of network quality calling information
CN105182122A (en) Fault early warning method of random power supply access equipment
CN113674123A (en) City emergency command system and method based on big data service
CN114235055A (en) Data acquisition system of ocean monitoring equipment
CN112115618A (en) Power equipment fault diagnosis method and system based on matrix chart and confidence
CN112598392A (en) Emergency early warning assessment and decision support system for atmospheric environmental pollution accident
CN114401054B (en) Fault diagnosis method and device for satellite ground station
CN113935390A (en) Data processing method, system, device and storage medium
CN110337081A (en) The monitoring method of local fault, device and storage medium in indoor distributed system
CN117132078A (en) Personnel safety state intelligent supervision method and system based on offshore wind power project
CN205941952U (en) Weather information early warning system
CN115909645B (en) Workshop production safety early warning system and early warning method
CN116307496A (en) Intelligent scheduling management system, method and device for offshore wind farm
CN106911406A (en) Radio monitoring net system
CN108539740B (en) Power grid accident forecast simulation system and method thereof
CN114518723B (en) Energy consumption monitoring system and method for intelligent building data
Gabriel et al. Threat and Risk Scenarios for Offshore Wind Farms and an Approach to their Assessment.
CN105099826A (en) Network service operation status monitoring method and device
CN112735072A (en) Forest region dynamic and forest region fire early warning cloud platform based on Internet of things
CN113628429A (en) Emergency help-seeking method and system based on 5G communication
CN111476922A (en) Method and device for judging arrival of power transmission line inspection personnel

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