CN103776431B - A kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect - Google Patents

Abstract

The invention provides a kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect, belong to overocean communications field, the problem of the information that can embody navigation channel hydrology function cannot be directly provided for solving existing navigation channel hydrologic monitoring method, method provided by the invention comprises: step one: adopt hsv color spatial model, saturation degree S and brightness V selects the fixed value preset, the span of tone H is divided into N part, obtains N number of different hsv color value; Wherein, current sensor array is provided with sensor at N number of different depth altogether, and N value is positive integer; Step 2: the navigation channel hydrologic monitoring information that the sensor adopting the determined N number of different hsv color value of step one to draw N number of different depth in current sensor array respectively gathers separately in predetermined monitoring time.The water flow velocity that the method intuitively can show each degree of depth flows to feature, facilitates the early warning of staff and researchist and the hydrology function in later stage to extract.

Description

A kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect

Technical field

The present invention relates to overocean communications field, particularly relate to a kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect.

Background technology

Growing along with sea transport industry, the safety problem of sea transport is also in the concern winning people day by day.Harbour is the port that ship is stopped, and navigation channel is then guide the important path that ships will enjoy access to the ports, and therefore the monitoring of channel status and early warning can well for sea transport industry provide effective safety guarantee.The seawater flow direction of different depth, flow velocity, temperature, the monitoring of the data such as sea wind-force, wind direction and early warning, there is provided reference and guide can well to the entering and leaving port of ship, ship is allowed to understand and to find the Best Times and direction that access to the ports, drive speed even, and these are all safety guarantee important in sea transport.

Wireless sensor network is the wireless network be made up of the some miniature low power consumption node being deployed in monitored area, with the information of object to be monitored in sensing region, is widely used in navigational field at present.Buoy is the important instrument of navigation channel information monitoring and guide, it is a kind of sensor with deixis; the most important function of buoy can always along with anchor chain draws deeply to benthos at sensor array in the inner; for the hydrographic information of monitoring sea, sea descends the water flow velocity, the flow direction etc. of different depth important, the guarantee information providing ship to access to the ports with this.But, the sensor of current buoy is stored in database for the collection of these Monitoring Data is normally direct with scale-of-two or decimal number, although these data directly measured have very important value, but not there is readability, inconvenient staff therefrom obtaining information, also be not easy the rule therefrom finding out different depth oceanographic data simultaneously, be not easy to later stage researcher and find its relevant hydrology function.

In sum, need a kind ofly to carry out according to the navigation channel hydrologic monitoring data of the sensor array collection of buoy the method that navigation channel hydrology function intuitively shows, by hash group drafting pattern not high for readability, make monitoring have more realistic meaning.

Summary of the invention

The invention provides a kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect, disorderly and unsystematic for solving the navigation channel hydrographic data gathered in prior art, inconvenient staff obtains the water temperature Changing Pattern in monitored navigation channel in time, thus cannot carry out the problem of effective monitoring.The navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect provided by the invention is by hash group drafting pattern not high for gathered readability, the water flow velocity that intuitively can show each degree of depth flows to feature, and joining day factor, make monitoring have more realistic meaning, facilitate the early warning of staff and researchist and the data analysis in later stage and hydrology function to extract.

The navigation channel hydrologic monitoring information visuallization method of a kind of many degree of depth aspect provided by the invention, is characterized in that, comprise step:

Step one: adopt hsv color spatial model, saturation degree S and brightness V selects the fixed value preset, and the span of tone H is divided into N part, obtains N number of different hsv color value; Wherein, current sensor array is provided with sensor at N number of different depth altogether, and N value is positive integer;

Step 2: the navigation channel hydrologic monitoring information that the sensor adopting the determined N number of different hsv color value of step one to draw N number of different depth in current sensor array respectively gathers separately in predetermined monitoring time.

Preferably, the navigation channel hydrologic monitoring information that each sensor gathers at any one time comprises: acquisition time, seawater velocity and seawater flow to.

Preferably, in said method, also comprise step before described step 2: the seawater velocity gathered respectively M moment according to the sensor of different depth N number of in current sensor array and seawater flow to, the seawater velocity calculating the sensor present position of each collection moment N number of different depth in X direction with the seawater velocity component velocity of Y-direction: x _1t, y _1t; x _nt, y _nt; x _nt, y _nt; Wherein, M is the collection moment quantity in predetermined monitoring time, and value is positive integer, t=1,2 ..., M; x _nt, y _ntfor n-th degree of depth sensor gather the seawater velocity that gathers of moment t in X direction with the seawater velocity component velocity of Y-direction; X, Y-direction are two orthogonal directions in sea level;

The method of the navigation channel hydrographic information that the sensor drawing n-th degree of depth in step 2 gathers in predetermined monitoring time is:

S21: definition is a bit initial initial point O arbitrarily in plotting planes ₀, and set up coordinate system X O ₀y; Wherein X-axis, Y-axis represent described X-direction seawater velocity component velocity, the Y-direction seawater velocity component velocity in sea level respectively;

S22: at described XO ₀the flow rate scale point O gathering the moment 1 is drawn in Y-coordinate system ₁(x _n1, y _n1), and make t=2;

S23: judge whether t is greater than M, if then perform S24; Otherwise, drafting is gathered the coordinate system XO during flow rate scale point of moment t-1 _t-2y moves to the flow rate scale point O gathering moment t-1 _t-1for the position of initial point, and at new XO _t-1the flow rate scale point O gathering moment t is drawn in Y-coordinate system _t(x _nt, y _nt), make t=t+1 subsequently and return this step of execution S23;

S24: by the some O obtained in plotting planes ₀, O ₁..., O _min succession connect the current conditions figure of sensor present position within 0 to the M moment obtaining current n-th degree of depth.

Preferably, described X-direction is the positive east orientation in sea level, and described Y-direction is the positive north orientation in sea level; The sensor of n-th degree of depth gather seawater velocity that moment t gathers in X direction with the seawater velocity component velocity x of Y-direction _nt, y _ntcalculated by following formula:

$\left\{\begin{array}{c}{x}_{\mathrm{nt}}=v_{\mathrm{nt}}\·\sin {\mathrm{\θ}}_{\mathrm{nt}}\\ y_{\mathrm{nt}}=v_{\mathrm{nt}}\·\cos {\mathrm{\θ}}_{\mathrm{nt}}\end{array}\right.$

Wherein, described v _ntand θ _ntthe sensor being respectively n-th degree of depth is gathering seawater velocity that moment t gathers and seawater flows to, θ _nt∈ (0 °, 360 °].

The beneficial effect of technique scheme of the present invention is as follows:

The navigation channel hydrologic monitoring information visuallization method being applied to a kind of many degree of depth aspect of lane-route monitoring of the present invention's proposition, according to the work characteristics of sensor array, in conjunction with realistic model feature, select hsv color model, have more different depth scope, the visual color assignment of conservative control, and map in accumulated locus mode, the information in speed, direction is represented as traces, make monitoring result more directly perceived, facilitate the early warning of staff and researchist and the data analysis in later stage and rule to extract, there is very strong practicality.

Accompanying drawing explanation

The navigation channel hydrologic monitoring information visuallization method flow diagram of a kind of many degree of depth aspect that Fig. 1 provides for the embodiment of the present invention;

Fig. 2 is the method flow diagram of the navigation channel hydrographic information that the sensor of drafting n-th degree of depth gathers in predetermined monitoring time;

Fig. 3 is the current conditions figure at 1 ~ 15 meter of depth of water place at the harbour, Qinhuangdao on the 16th Dec in 2008 of drawing out.

Embodiment

For solving prior art Problems existing, the embodiment of the present invention provides a kind of navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect, many groups different depth that the method collects for monitoring sensor, the Monitoring Data of different time, arrange, and by HSV(Hue, Saturation, Value) hydrographic information (information in speed, direction) of different depth represents by color model as traces, make monitoring result more directly perceived, operability is stronger.

For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.

Be illustrated in figure 1 the navigation channel hydrologic monitoring information visuallization method flow diagram of many degree of depth aspect that the embodiment of the present invention provides, the method comprises the following steps:

S1: adopt hsv color spatial model, saturation degree S and brightness V selects the fixed value preset, and the span of tone H is divided into N part, obtains N number of different hsv color value; Wherein, N is the degree of depth number of plies that current sensor array is provided with sensor in the seawater, and namely current sensor array is provided with sensor at N number of different depth altogether, and N value is positive integer;

S2: the navigation channel hydrologic monitoring information that the sensor adopting the determined N number of different hsv color value of S1 to draw N number of different depth in current sensor array respectively gathers separately in predetermined monitoring time.

In hsv color model wherein, the parameter of color respectively: tone H, saturation degree S, brightness V.Tone H: by angle tolerance, span is 0 ° ~ 360 °, and by counterclockwise calculating from redness, redness is 0 °, and green is 120 °, and blueness is 240 °.Their complementary color is: yellow is 60 °, and cyan is 180 °, and magenta is 300 °.Saturation degree S: span is 0.0 ~ 1.0.Brightness V: span is 0.0 (black) ~ 1.0 (white).Because conventional RGB and CMY color model is all towards hardware, and hsv color model is user oriented.In our method for visualizing, why select hsv color model, and do not select the reason of RGB and CMY color model mainly to fully take into account displaying degree and the degree of control of the method.The variable of other two kinds of model colors is too much, and in hsv color model, tone is controlled by H, in visualization process, control saturation degree S and brightness V constant at the numerical value of applicable display, then according to wanting visual variable quantity (i.e. the value of N), the change of mean allocation tone H value can be carried out, shows different variable.In the navigation channel hydrologic monitoring information visuallization method of the present invention's many degree of depth aspect, the sensor of different depth according to quantity, will divide the scope of tone H value equally, the visual color assignment of conservative control.

Preferably, the navigation channel hydrologic monitoring information that each sensor gathers at any one time comprises: acquisition time, seawater velocity and seawater flow to.

Preferably, in said method, also comprise step before S2: the seawater velocity gathered respectively M moment according to the sensor of different depth N number of in current sensor array and seawater flow to, the seawater velocity calculating the sensor present position of each collection moment N number of different depth in X direction with the seawater velocity component velocity of Y-direction: x _1t, y _1t; x _nt, y _nt; x _nt, y _nt; Wherein, M is the collection moment quantity in predetermined monitoring time, and value is positive integer, t=1,2 ..., M; x _nt, y _ntfor n-th degree of depth sensor gather the seawater velocity that gathers of moment t in X direction with the seawater velocity component velocity of Y-direction; X, Y-direction are two orthogonal directions in sea level.Now, the method for the navigation channel hydrographic information that the sensor drawing n-th degree of depth in step S2 gathers in predetermined monitoring time as shown in Figure 2, comprises the following steps:

S21: defining any point in plotting planes is initial initial point O ₀, and set up coordinate system XO ₀y; Wherein X-axis, Y-axis represent X-direction seawater velocity component velocity, the Y-direction seawater velocity component velocity in sea level respectively; X-direction is consistent with definition above with Y-direction herein;

S22: at XO ₀the flow rate scale point O gathering the moment 1 is drawn in Y-coordinate system ₁(x _n1, y _n1), and make t=2;

S23: judge t>M? if then perform S24; Otherwise, perform S25;

S24: by the some O obtained in plotting planes ₀, O ₁..., O _min succession connect the current conditions figure of sensor present position within 0 to the M moment obtaining current n-th degree of depth;

S25: will the flow rate scale point O gathering moment t-1 be drawn _t-1time coordinate system XO _t-2y moves to the flow rate scale point O gathering moment t-1 _t-1for the position of initial point, obtain XO _t-1y-coordinate system, and at this coordinate system XO _t-1the flow rate scale point O gathering moment t is drawn in Y _t(x _nt, y _nt), make t=t+1 subsequently and return execution S23.

Preferably, described X-direction is the positive east orientation in sea level, and described Y-direction is the positive north orientation in sea level; The sensor of n-th degree of depth gather seawater velocity that moment t gathers in X direction with the seawater velocity component velocity x of Y-direction _nt, y _ntcalculated by following formula:

$\left\{\begin{array}{c}{x}_{\mathrm{nt}}=v_{\mathrm{nt}}\·\sin {\mathrm{\θ}}_{\mathrm{nt}}\\ y_{\mathrm{nt}}=v_{\mathrm{nt}}\·\cos {\mathrm{\θ}}_{\mathrm{nt}}\end{array}\right.---\left(1\right)$

In formula (1), described v _ntand θ _ntthe sensor being respectively n-th degree of depth is gathering seawater velocity that moment t gathers and seawater flows to, θ _ntadopt the definition mode of seawater velocity conventional in the industry, i.e. θ _ntfor from the north pointer direction line of this monitoring sensor present position, according to the horizontal sextant angle between clockwise direction to water (flow) direction line, θ _nt∈ (0 °, 360 °].

The a large amount of sensor array Monitoring Data obtained using on Dec 16th, 2008 from harbour, Qinhuangdao below as sample, the method that theres is provided of the embodiment of the present invention is adopted to carry out hydrographic information to these data visual, wherein buoy once gathered every 10 minutes, a sensor placed by the anchor chain of each meter, amount to 15, measure and have recorded seawater velocity and the flow direction of the different depth of 1 ~ 15 meter of depth of water (i.e. above-mentioned N=15), with the feasibility of this data verification hydrographic information method for visualizing provided by the invention.

Concrete implementation step is:

1, first the navigation channel hydrographic data of the different depth monitored is undertaken being organized into table by the demand.

2, data are processed: flow to according to the seawater velocity of each monitoring location and seawater, the seawater velocity calculating the sensor present position of each collection moment 15 different depths in X direction with the seawater velocity component velocity of Y-direction.

3, the H span in hsv color space 0 ° ~ 360 ° is divided into 15 parts, the seawater velocity adopting several that obtain in 15 kinds of different colors and previous step to gather the sensor present position of moment 15 different depths subsequently in X direction with the seawater velocity component velocity value of Y-direction, according to Fig. 2, flow process is drawn, and finally obtains the current conditions figure at 1 ~ 15 meter of depth of water place at harbour, 16, Qinhuangdao on Dec, 2008 shown in Fig. 3.

Obviously, by result Fig. 3, can be clearly seen that the current conditions under different ocean depth, can find out, under water the current conditions of 1 to 6 meter comparatively rule, direction all northeastward, and track becomes class linear, but the track of stream direction of less than 6 meters is indefinite and full of twists and turns.We obviously see that flow condition variation is under water violent relative to top layer thus, but this seem I meet we in the past experience conjecture, therefore whether our conjecture is that the input of anchor chain under water and sensor are very unreasonable for the measuring method of water (flow) direction, will correction value be added into according to the swing result after current? these thinkings are all that the Visual Graph obtained by this method for visualizing obviously points out ours, this provides well Research approach directly perceived and foundation to the monitoring personnel of association area and the researchist of hydrographic information, all having the monitoring of the data message in navigation channel, ocean and research must be practical significance.

The present invention is towards navigation industry, to the navigation channel hydrologic monitoring information visuallization method being applied to a kind of many degree of depth aspect of lane-route monitoring that the Real-Time Monitoring problem in course line proposes, according to the work characteristics of sensor array, in conjunction with realistic model feature, select hsv color model, have more different depth scope, the visual color assignment of conservative control, map in accumulated locus mode, by speed, the information in direction represents as traces, make monitoring result more directly perceived, the early warning of staff and researchist and the data analysis in later stage and rule is facilitated to extract, there is very strong practicality.

The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (3)

1. a navigation channel hydrologic monitoring information visuallization method for the aspect of the degree of depth more than, is characterized in that, comprise step:

Step one: adopt hsv color spatial model, saturation degree S and brightness V selects the fixed value preset, and the span of tone H is divided into N part, obtains N number of different hsv color value; Wherein, current sensor array is provided with sensor at N number of different depth altogether, and N value is positive integer;

Step 2: the navigation channel hydrologic monitoring information that the sensor adopting the determined N number of different hsv color value of step one to draw N number of different depth in current sensor array respectively gathers separately in predetermined monitoring time;

Wherein, also comprise step before described step 2: the seawater velocity gathered respectively M moment according to the sensor of different depth N number of in current sensor array and seawater flow to, the seawater velocity calculating the sensor present position of each collection moment N number of different depth in X direction with the seawater velocity component velocity of Y-direction: x _1t, y _1t; x _nt, y _nt; x _nt, y _nt; Wherein, M is the collection moment quantity in predetermined monitoring time, and value is positive integer, t=1,2 ..., M; x _nt, y _ntfor n-th degree of depth sensor gather the seawater velocity that gathers of moment t in X direction with the seawater velocity component velocity of Y-direction; X, Y-direction are two orthogonal directions in sea level;

The method of the navigation channel hydrographic information that the sensor drawing n-th degree of depth in step 2 gathers in predetermined monitoring time is:

S21: definition is a bit initial initial point O arbitrarily in plotting planes ₀, and set up coordinate system X O ₀y; Wherein X-axis, Y-axis represent described X-direction seawater velocity component velocity, the Y-direction seawater velocity component velocity in sea level respectively;

S22: at described XO ₀the flow rate scale point O gathering the moment 1 is drawn in Y-coordinate system ₁(x _n1, y _n1), and make t=2;

S23: judge t>M? if then perform S24; Otherwise, perform S25;

S24: by the some O obtained in plotting planes ₀, O ₁..., O _min succession connect the current conditions figure of sensor present position within 0 to the M moment obtaining current n-th degree of depth;

S25: will the flow rate scale point O gathering moment t-1 be drawn _t-1time coordinate system XO _t-2y moves to the flow rate scale point O gathering moment t-1 _t-1for the position of initial point, obtain XO _t-1y-coordinate system, and at this coordinate system XO _t-1the flow rate scale point O gathering moment t is drawn in Y _t(x _nt, y _nt), make t=t+1 subsequently and return execution S23.

2. the navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect as claimed in claim 1, is characterized in that, the navigation channel hydrologic monitoring information that each sensor gathers at any one time comprises: acquisition time, seawater velocity and seawater flow to.

3. the navigation channel hydrologic monitoring information visuallization method of many degree of depth aspect as claimed in claim 1, is characterized in that, described X-direction is the positive east orientation in sea level, and described Y-direction is the positive north orientation in sea level; The sensor of n-th degree of depth gather seawater velocity that moment t gathers in X direction with the seawater velocity component velocity x of Y-direction _nt, y _ntcalculated by following formula:

$\left\{\begin{array}{c}{x}_{\mathrm{nt}}=v_{\mathrm{nt}}\·\sin {\mathrm{\θ}}_{\mathrm{nt}}\\ y_{\mathrm{nt}}=v_{\mathrm{nt}}\·\cos {\mathrm{\θ}}_{\mathrm{nt}}\end{array}\right.$

Wherein, described v _ntand θ _ntthe sensor being respectively n-th degree of depth is gathering seawater velocity that moment t gathers and seawater flows to, θ _nt∈ (0 °, 360 °].