A personnel falling into water judgment method based on path planning management

Abstract

The present application relates to offshore platform personnel path planning management and timely alarm technology in the event of personnel falling into the water, in particular to a personnel falling into the water judgment method based on path planning management. It comprises a server, a positioning base station and a real-time position positioning unit; the server is wirelessly connected with the positioning base station and is pre-installed with an alarm logic for solving real-time position signals, making falling into the water judgment and alarm; the positioning base station is arranged in the working area and is used to establish communication connection between the server and the real-time position positioning unit; the real-time position positioning unit is equipped on the working personnel for obtaining real-time position signals of the working personnel; the alarm logic comprises: if the working personnel is in the process of movement, the server finds that the real-time position signal is lost, then alarm is made and the final position of the personnel is reported. The present application can realize accurate judgment of abnormal track early warning of the working personnel and early warning of personnel falling into the water judgment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of offshore platform personnel path planning management and timely alarm when personnel fall into the water, and particularly relates to a personnel fall into the water judgment method based on path planning management. BACKGROUND

[0002] The personnel falling into the water on the offshore platform cannot be found in the first time, which will seriously affect the subsequent rescue progress, thereby affecting the success rate of rescue and bringing hidden dangers to the life safety of offshore personnel.

[0003] The offshore platform is a full-metal, multi-cabin and multi-layer structure, and the operation channels are mostly long and narrow channels. The Beidou positioning method has a blind area, and cannot accurately track the positions of indoor operation personnel. Therefore, it is necessary to use an accurate indoor positioning method to accurately control the positions of offshore personnel, timely find personnel falling into the water, and timely alarm to rescue the personnel in the first time.

[0004] The complex metal structure of the offshore platform will affect the positioning accuracy of UWB. When positioning the personnel falling into the water, the determination of the platform edge is the key to the positioning of the personnel falling into the water, and the UWB positioning error will bring uncertainty to the positioning of the personnel falling into the water.

[0005] Based on the UWB positioning technology, the trajectory of the offshore personnel is tracked in combination with the planar structure diagram of the offshore platform, a work path probability heat map of all the operation personnel is formed, the motion posture of the operation personnel is analyzed based on the data analysis technology, the running trajectory posture of all the operation personnel on the operation platform is analyzed, a full-range alarm mechanism is formed, the influence of the precision degradation of UWB in the complex environment is effectively compensated, the false alarm when the personnel falls into the water is effectively avoided, the rescue response time is maximally saved, and the life safety of the operation personnel is ensured. The method has great practical significance. SUMMARY

[0006] The present application aims at the deficiencies in the prior art, and provides a personnel fall into the water judgment method based on path planning management, which is a UWB-based offshore platform personnel positioning method. The computer is used for operation path planning, a motion trajectory statistical diagram is formed, and the operation path management of the offshore personnel and the timely alarm of the personnel falling into the water are realized.

[0007] The technical scheme is as follows:

[0008] A personnel fall into the water judgment method based on path planning management, comprising a server, a positioning base station and a real-time position positioning unit.

[0009] The server is in wireless communication connection with the positioning base station, and is pre-provided with an alarm logic for solving the real-time position signal, performing fall into the water judgment and alarm.

[0010] The positioning base stations are arranged in the working area, and are used for establishing a communication connection between the server and the real-time position positioning unit;

[0011] The real-time position positioning unit is arranged on the working personnel, and is used for obtaining the real-time position signal of the working personnel;

[0012] The alarm logic comprises the following steps: if the real-time position signal is lost during the movement of the working personnel, the server alarms and reports the final position of the personnel.

[0013] Further, the server is pre-stored with an electronic map of the working area, and the electronic map is pre-stored with a dangerous alarm boundary and a height difference threshold;

[0014] If the working personnel crosses the pre-stored dangerous alarm boundary during the movement, the server obtains that the height position of the working personnel changes sharply, and the height difference between the two adjacent times exceeds the pre-stored threshold, then the server alarms and reports the final position of the personnel.

[0015] Further, the positioning base station is a UWB positioning base station.

[0016] Further, the real-time position positioning unit is a safety helmet integrated with a UWB positioning function.

[0017] Further, the safety helmet is bound with personnel information.

[0018] Further, the server obtains the real-time position signal of the working personnel through the safety helmet bound with the personnel information, and obtains the movement track data of the working personnel.

[0019] Further, the reference origin on the electronic map is consistent with the origin of the positioning base station.

[0020] Further, the server performs positioning calculation according to the movement track data of the working personnel.

[0021] Further, the positioning calculation comprises the following steps: according to the relative position of the real-time position of the working personnel relative to the reference origin, the real-time position of the working personnel is calculated, and the real-time position is displayed on the electronic map.

[0022] Further, the method further comprises the following steps: according to the movement track data of the working personnel and the dangerous alarm boundary, a path is planned during production.

[0023] The present application has the following beneficial effects:

[0024] The application is based on UWB positioning technology, and the path data of personnel on the whole offshore operation platform is obtained by counting the real-time path trajectory of personnel on the offshore operation platform. Through statistical analysis of the overall path, the optimized safety path suitable for the walking habits of the operation personnel can be obtained.

[0025] By tracking the motion trajectory of the operation personnel in real time through the UWB positioning technology, the trajectory anomaly early warning of the operation personnel can be realized by comparing the motion trajectory with the overall statistical motion trajectory.

[0026] By finely dividing the danger level of the dangerous area or other public area on the offshore operation platform, combined with the UWB positioning technology, the accurate judgment of the personnel falling into the water can be realized.

[0027] By real-time monitoring the position of the offshore operation personnel and counting the historical trajectory, a set of comprehensive personnel falling into the water judgment criteria is formed, which can effectively make up for the short board of the insufficient measurement accuracy of the UWB positioning technology under special working conditions, and maximize the safety of the offshore operation personnel. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a fine division diagram of the danger level of the area on the offshore operation platform;

[0029] Figure 2 is the overall statistical path and real-time path of the personnel on the offshore operation platform;

[0030] Figure 3 is the danger alarm boundary of the offshore operation platform. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the present application more clear, specific embodiments will be further described in detail below with reference to the drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present application. In addition, in the following description, the description of known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present application.

[0032] Step one: set the UWB positioning base station according to the planar layout of the offshore operation platform. The position of the UWB positioning base station is input into the background management system of the offshore operation platform according to the field measurement data. The position information of the positioning base station should be accurate to accurately calculate the position of the personnel. At least three positioning base stations are deployed in each corridor or cabin on the offshore operation platform. The positioning base stations are preferably deployed at the four vertices of the area to fully cover the area. In addition, positioning base stations are deployed in each working or public area on the offshore platform to ensure maximum coverage of UWB signals on the offshore operation platform.

[0033] Step 2: The offshore operation platform's backend management system equips the operators with safety helmets integrated with UWB positioning function and binds them to personnel information. When operating on the offshore platform, the operators wear positioning helmets. When the personnel pass by UWB positioning base stations during movement, the positioning helmets interact with the surrounding UWB positioning base stations. Finally, the positioning base stations feed back the positioning helmets' location information to the server, and the server calculates the accurate current location of the positioning helmets.

[0034] Step 3: An electronic map is created based on the structural and topographical information of the offshore platform. The reference origin on the electronic map is consistent with the origin of the positioning base station. After receiving the location information, the server performs positioning calculations to determine the precise position of the positioning helmet relative to the reference origin. The server displays the personnel's location on the electronic map. By calculating and drawing the positioning helmet's position in real time, the server generates real-time trajectory information for the personnel.

[0035] Step 4: Detail the hazard level classification of the areas on the offshore operation platform.

[0036] (1) Taking the long corridor-type passageway along the edge of an offshore work platform as an example, the passageway is divided into grids along the radial direction. For a 1m wide passageway, the grid is divided into 10 parts with 10cm units, such as... Figure 1 As shown, each area is divided into different safety levels, with green indicating increasing safety levels and red indicating increasing danger levels. Similarly, safety levels can be classified for narrow, elongated sea-adjacent passageways of offshore platforms.

[0037] (2) The above-mentioned division of the operating area of ​​offshore operating platforms, narrow coastal passageways and other dangerous areas will form a detailed classification map of the danger levels of offshore operating platforms.

[0038] Step 5: The server generates a statistical chart of the movement trajectory of the offshore operation platform based on the movement trajectory of the safety helmet, as detailed below:

[0039] (1) The server performs statistical analysis on personnel behavior based on personnel location information, counting the number of times N personnel appeared in each area and the number of times M accidents occurred in that area, forming a statistical table of the trajectory of all personnel on the offshore operation platform. Figure 1 Taking the long and narrow passageway shown as an example, as shown in Table 1:

[0040] Table 1. Tracking Statistics of All Personnel on Offshore Operation Platforms

[0041]

[0042] in Where i = 1 to 10.

[0043] According to the trajectory statistics table shown in Table 1, a trajectory statistics distribution diagram of personnel on the offshore operation platform is drawn, as shown in Figure 2

[0044] (2) The trajectory statistics analysis is performed on each operation personnel on the offshore operation platform, and the number n of the appearance of the operation personnel in each area is counted. Figure 1 For example, a long and narrow corridor, a table 2 is established as shown in

[0045] Table 2: Trajectory statistics table of operation personnel on offshore operation platform

[0046]

[0047] Among them

[0048] According to the trajectory statistics table shown in Table 2, a personal real-time trajectory of personnel on the offshore operation platform is drawn, as shown in Figure 2

[0049] Step six: repeat step 5, record the motion trajectory of personnel on the offshore operation platform, and constantly increase the sample library data, so as to make the overall path more statistically significant.

[0050] Step seven: absolute value judgment of personnel falling into water

[0051] (1) In the process of personnel movement, the background server finds the signal disconnection and quickly alarms and reports the final position of the personnel.

[0052] (2) In the process of personnel movement, when crossing the boundary determined by the UWB positioning base station, if the background server calculates that the height position of the positioning helmet changes dramatically, and the height difference between the two adjacent times exceeds ε0, an alarm is quickly given, and the final position of the personnel is reported.

[0053] Step eight: according to the data in table 1, the accident prone area on the offshore operation platform can be obtained through the accident probability of each area, so as to carry out protection treatment.

[0054] Step nine: comparative analysis of personnel motion trajectory relative to the whole

[0055] According to the data in table 1, the personnel safety trajectory on the offshore operation platform can be obtained, and the safety production warning line on the offshore operation platform is extracted, as shown in Figure 3 , and the best path planning is carried out when production is arranged, so as to avoid stepping into the dangerous area.

[0056] For example, a long corridor type structure corridor is shown in Figure 2 , the specific method is as follows:

[0057] (1) a table 3 is established as shown in Figure 3 ​​The average displacement of all trajectories of all personnel of the offshore platform passing through the area in the X-axis direction is obtained

[0058] (2) According to the data in Table 2, the behavior of each worker is analyzed to obtain the average value of the offshore platform personnel in the X-axis direction when passing through the area

[0059] (3) The displacement of the offshore platform personnel in the X-axis direction is obtained The relative average displacement The difference Δx0 between the average displacement of the personnel in the X-axis direction and the average displacement of the personnel in the X-axis direction when passing through the area is obtained When the offshore worker passes through the area, Δx0 is greater than ε1, the server determines that the personnel is in a dangerous area, and the server alarms.

[0060] The displacement in the X-axis direction is obtained by statistical average method Figure 3 Taking the long corridor type corridor shown in FIG. 8 as an example, the following is specifically described:

[0061] P i respectively represent the probability of appearing in the ith area.

[0062] Step ten: comparison and analysis of personnel motion trajectory relative to personal historical curve

[0063] (1) The historical trajectory of the offshore worker in the area is statistically analyzed, and the average displacement of all trajectories in the X-axis direction when passing through the area is obtained

[0064] (2) The behavior of each worker is analyzed to obtain the average value of the offshore platform personnel in the X-axis direction when passing through the area

[0065] (3) The displacement of the offshore platform personnel in the X-axis direction is obtained The average displacement The difference Δx1 between the average displacement of the personnel in the X-axis direction and the average displacement of the personnel in the X-axis direction when passing through the area is obtained When the offshore worker passes through the area, Δx1 is greater than ε2, the server determines that the personnel is in a dangerous area, and the server alarms.

[0066] Step eleven: setting of alarm threshold

[0067] The alarm threshold can be flexibly set according to the behavior habits of different personnel, but the alarm threshold should follow the following constraint conditions:

[0068]

[0069] The working principle of the present application is: using UWB positioning technology, the position information of offshore platform workers is accurately obtained, the movement track of offshore platform workers is tracked in real time, the daily work path route on the platform is recorded and updated constantly, combined with the plane structure of offshore operation platform, the movement track of each worker is drawn, the movement track statistics chart is formed, finally the movement track statistics chart can be used to realize the graded alarm processing of different degrees of danger, the life safety of workers is maximally guaranteed, and scientific basis is provided for offshore operation path planning and personnel management.

[0070] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims.

Claims

1. A method for judging that a person falls into water based on path planning management, characterized by, The method comprises the following steps: step one: setting UWB positioning base station according to the plan layout of offshore platform; step two: the back-end management system of offshore platform provides safety helmet integrated with UWB positioning function to the workers and binds the helmet with the information of the workers; step three: drawing electronic map according to the structure and terrain information of offshore platform, the reference origin on the electronic map is consistent with the origin of the positioning base station; step four: finely dividing the danger level of the area on the offshore platform; step five: the server draws the motion trajectory statistical chart of offshore platform according to the motion trajectory of safety helmet, and statistically analyzes the behavior of the workers according to the positioning information of the workers, respectively counts the number N of the workers appearing in each area and the number M of accidents occurring in the area, forms the trajectory statistical table of all workers on offshore platform, respectively counts the number n of the workers appearing in each area, and draws the real-time trajectory of the workers on offshore platform; step six: repeating step 5 to record the motion trajectory of the workers on offshore platform; step seven: absolute value judgment of workers falling into water: when the back-end server finds signal disconnection during the motion of the workers, the server quickly alarms and reports the final position of the workers; when the workers cross the boundary determined by the UWB positioning base station, if the back-end server calculates that the height position of the positioning helmet changes dramatically and the height difference between the two adjacent times exceeds the preset threshold, the server quickly alarms and reports the final position of the workers; step eight: according to the trajectory statistical table of all workers on offshore platform, the accident-prone area on offshore platform is obtained through the accident probability of each area, so as to carry out protection treatment; step nine: comparative analysis of the motion trajectory of workers relative to the whole: according to the trajectory statistical table of all workers, the average displacement of all trajectories of the workers on offshore platform in the area in the X-axis direction is obtained; for each worker, the average value of the worker in the area in the X-axis direction is obtained; the difference between the displacement of the worker in the X-axis and the average displacement is calculated, and when the difference is greater than the preset threshold, the server alarms; step ten: comparative analysis of the motion trajectory of workers relative to the personal historical curve: the historical trajectory of offshore workers in the area is statistically analyzed, and the average displacement of all trajectories of the workers in the area in the X-axis direction is obtained; for each worker, the average value of the worker in the area in the X-axis direction is obtained; the difference between the displacement of the worker in the X-axis and the average displacement is calculated, and when the difference is greater than the preset threshold, the server alarms.

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