CN116866854B - Marine ecological environment monitoring system based on wireless sensor network - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
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- 238000004364 calculation method Methods 0.000 claims abstract description 21
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- 238000010606 normalization Methods 0.000 claims abstract description 5
- 230000005540 biological transmission Effects 0.000 claims description 42
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
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Abstract
The invention relates to the technical field of ecological monitoring, in particular to a marine ecological environment monitoring system based on a wireless sensor network. Comprising the following steps: the system comprises a data acquisition unit, an environment analysis unit, a sensing analysis unit, a power control unit and a sensing verification unit; the method comprises the steps of respectively analyzing and processing marine environment information and sensing information to obtain an active index and a load index, carrying out normalization processing on the active index and the load index, taking the values of the active index and the load index, carrying out formula calculation on the values to obtain a strategy value, judging whether the active index and the load index are matched and generating a corresponding sensing power interval according to the strategy value, adjusting the running power of a sensor according to the corresponding sensing power interval to enable the running power of the sensor to be matched with the marine environment, ensuring marine anomaly monitoring, simultaneously reducing the energy consumption of the sensor, improving the energy utilization efficiency of the sensor and prolonging the service life of a battery; and the sensor is corrected and checked through the sensing information to ensure that the sensor quickly and accurately resumes normal operation, thereby ensuring the accuracy and stability of the monitoring data.
Description
Technical Field
The invention relates to the technical field of ecological monitoring, in particular to a marine ecological environment monitoring system based on a wireless sensor network.
Background
The marine ecological environment monitoring system is generally composed of a plurality of sensor nodes, the sensor nodes are distributed in a sea area to be monitored, and data are transmitted back to a data center through a wireless sensor network or satellite communication mode. These sensors can monitor various factors including water temperature, salinity, dissolved oxygen, water quality, phytoplankton, zooplankton, underlying sediment, and the like. When the data exceeds a set threshold value, the monitoring system can send out an alarm signal to prompt a manager to take corresponding measures.
There are the following aspects:
1. the sensors are distributed in a plurality, and activities such as monitoring and data processing are needed, the nodes in the wireless sensor network are generally powered by batteries, the available electric quantity is very limited, and for a wireless sensor network with thousands of nodes, the batteries are very difficult to replace, but the survival time of the wireless sensor network is required to be as long as months or years, so that the problem to be solved is how to save the battery energy of the wireless sensor network as much as possible on the premise of not affecting the functions.
2. In the marine environment, the sensors may be damaged by the influence of seawater, climate change, marine organisms and other factors, and a great deal of time and labor cost are required for maintaining the sensors, so how to judge the abnormality of the sensors and perform reasonable optimization and adjustment becomes a problem to be solved.
Disclosure of Invention
The invention aims to provide a marine ecological environment monitoring system based on a wireless sensor network.
The aim of the invention can be achieved by the following technical scheme: a marine ecological environment monitoring system based on a wireless sensor network, comprising: the system comprises a data acquisition unit, an environment analysis unit, a sensing analysis unit, a power control unit and a sensing verification unit; the data acquisition unit is in communication connection with a plurality of wireless sensors to acquire marine environment information and sensing information, and sends the marine environment information and the sensing information to the server for storage;
the environment analysis unit calculates the biological type TYP1, the biological sign TYP2 and the biological quantity TYP3 at the same moment by setting a formula TYP=e1×typ1+e2×typ2+e3×typ3 to obtain a biological value TYP, wherein e1, e2 and e3 are respectively set proportionality coefficients, and when the biological value is larger than the maximum value in the set biological interval, the moment is recorded as the high activity moment; when the biological value is within the set biological interval, the moment is recorded as a medium activity moment; when the biological value is smaller than the minimum value in the set biological interval, the moment is marked as the non-active moment; counting the numbers m1, m2 and m3 of the high active time, the medium active time and the non-active time respectively, and calculating the numbers by setting a formula yu=f1×m1+f2×m2+f3×m3 to obtain an active index Yu, wherein f1, f2 and f3 are respectively set proportionality coefficients;
the sensing analysis unit is used for carrying out numerical analysis on the power consumption to obtain an overall power consumption value, taking data quantity corresponding to a plurality of moments as a group, and establishing a two-dimensional rectangular coordinate system of the data quantity and time to obtain a fold line relation diagram of the change of the data quantity along with the time; image preprocessing is carried out according to the relation diagram, abnormal data in the group are removed, and the rest data are subjected to average value calculation to obtain a data average value; respectively carrying out difference calculation on the data quantity in the group and the corresponding data quantity average value to obtain a data quantity difference value, and carrying out summation operation on the data quantity difference value to obtain a deviation in the group; passing the power consumption Pi, the overall power consumption value Pa, the intra-group deviation PLj and the type coefficient Ba through a set formulaCalculating to obtain a load index Fb of the sensor, wherein b1, b2 and b3 are set proportionality coefficients respectively;
the sensor checking unit corrects and checks the sensor through the sensing information, and specifically comprises the following steps:
s1: when the server receives the sensing information, the data quantity corresponding to the sensing information is called, and the difference value between the receiving time and the reading time of the sensing information is calculated to obtain the corresponding receiving time length;
s2: setting a preset receiving time length and a preset data volume of the sensing information;
s3: data volume L Tir Length of reception H Tir At the time of preset receptionLong J Tir And a preset data amount D Tir By the formulaObtaining a transmission state value CHZ of the sensor; wherein c1 and c2 are both preset scaling factors; carrying out formulated calculation on the numerical value to obtain a transmission state value; comparing and analyzing the transmission state value with a set transmission interval, and marking the transmission state value as a sensor to be processed when the transmission state value is larger than the maximum value in the set transmission interval; when the transmission state value is within the set transmission interval, generating a batch transmission instruction and controlling the sensor to perform batch transmission operation on the acquired sensing information;
s4: when the server does not receive the sensing information within a certain time range of a preset receiving duration, generating a checking instruction and sending the checking instruction to the power control unit, when the power control unit receives the checking instruction, sending a request confirmation instruction to a corresponding sensor, when the power control unit does not receive the confirmation instruction, judging that the sensor is in a fault state, and marking the sensor as a fault sensor and feeding back the fault sensor to the sensing checking unit;
s5: the depth h1 of the positions of the to-be-processed sensor and the obstacle sensor and the distance h2 between the to-be-processed sensor and the base station are substituted into a set formula HM=d1×h1+d2×h2 to calculate a processing coefficient HM, wherein d1 and d2 are set proportionality coefficients respectively; when the processing coefficient is larger than the set processing threshold, the position of the sensor is sent to the underwater robot end, otherwise, the position of the sensor is sent to the mobile end of the maintenance personnel;
the power control unit is used for receiving the active index and the load index, normalizing the active index and the load index, taking the values, carrying out formula calculation on the values to obtain strategy values, and judging whether the active index and the load index are matched and generating a corresponding sensing power interval according to the strategy values.
Preferably, the marine environmental information includes a biological type, a biological sign, and a biological quantity; the sensing information comprises sensor type, power consumption and data volume; the processing end comprises an underwater robot end and a movable end of a maintenance personnel.
Preferably, the power consumption is subjected to numerical analysis to obtain an overall power consumption value, wherein the specific steps of the numerical analysis are as follows:
the power consumption of the sensor for reading the sensing information is called, the power consumption is compared with a set power consumption interval W1, and when the power consumption is larger than the maximum value in the set power consumption interval W1, the power consumption is recorded as high power consumption; when the power consumption is within the set power consumption interval W1, the power consumption is recorded as medium power consumption; when the power consumption is smaller than the minimum value in the set power consumption interval W1, the power consumption is recorded as low power consumption; and respectively carrying out average operation on the power consumption marked as high power consumption, medium power consumption and low power consumption to respectively obtain a high power consumption average value Ga, a medium power consumption average value Za and a low power consumption average value Da, and calculating the three by a set formula Pa=a1 xGa+a2 xZa+a3 xDa to obtain an overall power consumption value Pa, wherein a1, a2 and a3 are set proportionality coefficients respectively.
Preferably, image preprocessing is performed according to the relation diagram to remove abnormal data in a group, and the remaining data are subjected to averaging operation to obtain a data average value, wherein the specific steps of the image preprocessing are as follows:
establishing a two-dimensional rectangular coordinate system by taking data quantity corresponding to a plurality of moments as a group and taking the data quantity in the group as an ordinate and the reading moment corresponding to the data quantity as the ordinate; respectively taking midpoints of adjacent line segments, respectively making perpendicular bisectors, taking the phase point of the perpendicular bisectors of the adjacent line segments as a circle center, respectively drawing circles with the distance from the circle center to the adjacent line segments as a radius to obtain a circular ring, and calculating to obtain the area of the circular ring; comparing the area of the circular ring with a set area threshold value to obtain an endpoint to be processed; deleting the data volume corresponding to all the points to be processed in the group, and carrying out average value operation on the rest data volume to obtain a data volume average value.
Preferably, the specific step of judging whether the active index and the load index are matched is as follows:
the active index Yu and the load index Fb are called and passed through a set formulaCalculating to obtain a strategy value He, wherein alpha 1 and alpha 2 are set proportional coefficients respectively; when the strategy value is greater than 1, thenForming a load increasing and adjusting instruction and performing load increasing and adjusting operation; and when the policy value is smaller than 1, generating a load reducing and regulating instruction and carrying out load reducing and regulating operation.
Preferably, the specific steps of generating the sensing power interval are:
the active index is called and compared with the set active interval to be matched to the corresponding upper load limit pk, wherein k=1, 2 and 3; the load index is called, the load index Fb and the load upper limit pk are calculated to obtain a sensing power upper limit ωk through a set formula ωk=λ× (pk-Fb), wherein λ is a set power conversion coefficient; generating corresponding sensing power intervals [0, omega 3], [ omega 3, omega 2], [ omega 2, omega 1] according to the generated sensing power upper limit; the load tuning operation is to compare and match the active index with the set active interval to the corresponding load upper limit and tune the sensor power to the corresponding sensing power interval; the load reduction operation is to compare and match the activity index with the set activity interval to the corresponding upper load limit and reduce the sensor power to the corresponding sensing power interval.
The invention has the beneficial effects that:
1. calculating the biological type, the biological sign and the biological quantity in the environment of the monitoring area in unit time to obtain a biological value, and comparing, analyzing and judging the biological value with a set threshold value to obtain an active state; respectively counting the number of the active states which are respectively the high active time, the medium active time and the inactive time, and processing to obtain an active index, wherein the active index represents the activity degree of marine organisms in the monitoring area, and the marine environment is subjected to quantization processing to lay a foundation for the regulation of the sensor;
2. the power consumption of the sensor for reading the sensing information is compared with a set power consumption interval to obtain an overall power consumption value through analysis, and the overall power consumption value can reflect the overall condition of the power consumption of the sensor more than a simple power consumption average value; respectively taking intersection points of perpendicular bisectors of adjacent line segments as circle centers in a data quantity and time-dependent change fold line relation diagram, respectively taking the distances from the circle centers to the adjacent line segments as radiuses to form circles to obtain circles, comparing and analyzing the areas of the circles with a set threshold value to obtain end points to be processed, and carrying out average value calculation on other data quantities except the end points to obtain a data quantity average value, wherein the operation removes the influence of abnormal values, improves the stability of a data set, and ensures that the average value is more reliable; calculating the power consumption, the overall power consumption value, the intra-group deviation and the type coefficient to obtain a load index; and analyzing the active index and the load index through a set formula to obtain a strategy value, judging whether the active index and the load index are matched and generating a corresponding sensing power interval according to the strategy value so as to adjust the running power of the sensor to be matched with the monitoring of the marine ecological environment, ensuring the monitoring of marine anomalies, simultaneously reducing the energy consumption of the sensor, saving electricity, improving the energy utilization efficiency of the sensor and prolonging the service life of a battery.
3. Analyzing the receiving time length and the corresponding data quantity of the sensing information, the preset receiving time length and the preset data quantity to obtain a transmission state value, performing numerical comparison analysis to judge the state of the sensor to generate a sensor to be processed, generating a batch transmission instruction, controlling the sensor to perform batch transmission on the acquired sensing information, and reducing the quantity and frequency of data transmission, thereby reducing the sensing load; judging whether the sensor which does not receive the sensing information within a certain time is faulty or not according to the sending and replying conditions of the instruction, and generating a faulty sensor to feed back to the sensing verification unit; and then carrying out numerical analysis on the depths of the positions of the to-be-processed sensor and the obstacle sensor and the distance between the to-be-processed sensor and the base station to obtain a processing coefficient, comparing and analyzing the processing coefficient with a set threshold value, adopting a corresponding processing end, carrying out comprehensive analysis according to the positions and the depths of the sensors, and selecting the most suitable processing object so as to ensure that the sensor can quickly and accurately recover the normal working state, thereby ensuring the accuracy and the stability of monitoring data.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a system module connection of the present invention;
FIG. 2 is a schematic diagram of the pattern pretreatment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, the present invention is a marine ecological environment monitoring system based on a wireless sensor network, comprising: the system comprises a data acquisition unit, an environment analysis unit, a sensing analysis unit, a power control unit and a sensing verification unit; the data acquisition unit is connected with a plurality of sensors to acquire environment information and sensing information and send the environment information and the sensing information to the server for storage, wherein the marine environment information comprises biological types, biological signs and biological quantity; the sensing information comprises sensor type, power consumption and data volume;
the method comprises the steps of taking the biological type, the biological sign and the biological quantity in unit time, and respectively and sequentially connecting the biological type, the biological sign and the biological quantity points at the moment according to the time sequence to obtain a time-dependent change relation line graph of the biological type, the biological sign and the biological quantity; calculating the biological type TYP1, the biological sign TYP2 and the biological quantity TYP3 at the same moment by setting a formula TYP=e1×typ1+e2×typ2+e3×typ3 to obtain a biological value TYP, wherein e1, e2 and e3 are set proportionality coefficients respectively; comparing the biological value with a preset biological interval to analyze the relation between the biological value and time from the point of the biological value to the corresponding moment, and recording the moment as the high activity moment when the biological value is larger than the maximum value in the preset biological interval; when the biological value is within the set biological interval, the moment is recorded as a medium activity moment; when the biological value is smaller than the minimum value in the set biological interval, the moment is marked as the non-active moment; the biological type refers to the number of the biological species in the monitoring area, and the biological sign refers to the volume occupied by the organism in the monitoring area;
counting the number of the high active time, the medium active time and the inactive time, and respectively marking the number as m1, m2 and m3;
calculating the number of the high active time, the medium active time and the non-active time through a set formula yu=f1×m1+f2×m2+f3×m3 to obtain an active index Yu, wherein f1, f2 and f3 are set proportionality coefficients respectively;
the method comprises the steps of calling the types of sensors, setting a type value corresponding to each type of sensor, comparing and matching sensor nodes with all the set types of sensor nodes to obtain corresponding type values, and marking the corresponding type values as Ba; the type value refers to the fact that the information acquired by different types of sensors is different, the corresponding requirements on sensitivity and resolution are different, the corresponding type value is larger for the corresponding sensor with high sensitivity and resolution, and the corresponding load is increased;
the power consumption of the sensor for reading the sensing information is called Pi, wherein i=1, 2,3 … … n1, n1 is a positive integer, i represents the time corresponding to the reading data, and n1 represents the total time for reading the sensing information;
comparing the power consumption with a set power consumption interval W1, and when the power consumption is larger than the maximum value in the set power consumption interval W1, marking the power consumption as high power consumption; when the power consumption is within the set power consumption interval W1, the power consumption is recorded as medium power consumption; when the power consumption is smaller than the minimum value in the set power consumption interval W1, the power consumption is recorded as low power consumption; respectively carrying out average operation on the power consumption marked as high power consumption, medium power consumption and low power consumption to respectively obtain a high power consumption average value, a medium power consumption average value and a low power consumption average value, respectively marking the high power consumption average value, the medium power consumption average value and the low power consumption average value as Ga, za and Da, and calculating to obtain an overall power consumption value Pa through a set formula Pa=a1 xGa+a2 xza+a3 xDa, wherein a1, a2 and a3 are set proportionality coefficients respectively;
the data quantity of the sensing information read by the sensor is called, the data quantity corresponding to a plurality of moments is taken as a group, the data quantity is divided into j groups according to time sequence, wherein j=1, 2,3 … … n2, n2 takes a positive integer, and n2 represents the total group number; referring to fig. 2, taking a data volume as an ordinate, a reading time corresponding to the data volume as an ordinate, and establishing a two-dimensional rectangular coordinate system by connecting the data volumes at adjacent times with line segments according to time sequence; respectively taking midpoints of adjacent line segments, respectively making perpendicular bisectors, extending the perpendicular bisectors of the adjacent line segments until the perpendicular bisectors intersect, drawing a circle by taking the intersection point as a circle center and taking the distance from the circle center to the adjacent line segments as a radius to obtain a circle, and calculating to obtain the area of the circle; comparing the area of the circular ring with a set area threshold, and when the area of the circular ring is larger than the set area threshold, marking the intersection point of the two adjacent line segments as an endpoint to be processed; when the area of the circular ring is smaller than the set area threshold, the change difference of the two adjacent line segments is in the range and can be ignored, and no operation is performed; deleting the data volume corresponding to all the points to be processed in the group, and carrying out average value operation on the rest data volume to obtain a data volume average value; when the data quantity corresponding to the three adjacent moments is larger, the difference of the distance between the intersection points of the perpendicular bisectors of the two adjacent line segments formed by the data quantity and the point line segment is larger, and the larger the specific area of the circular ring formed by the two circles is, the larger the change of the adjacent data quantity is; deleting the corresponding data quantity of the intersection point of two adjacent line segments, then solving the mean value operation to obtain the data quantity mean value, and marking the data quantity mean value as Laj; respectively carrying out difference calculation on the data quantity in the group and the corresponding data quantity average value to obtain a data quantity difference value, and carrying out summation operation on the data quantity difference value to obtain a deviation PLj in the group;
passing the power consumption, the overall power consumption value, the intra-group deviation and the type coefficient through a set formulaCalculating to obtain a load index Fb of the sensor, wherein b1, b2 and b3 are set proportionality coefficients respectively; transmitting the load index to a power control unit;
the power control unit receives the environmental activity index and the load index, and analyzes and matches the environmental activity index and the load index with corresponding adjustment strategies, specifically:
the active index and the load index are called and passed through a set formulaCalculating to obtain a strategy value He, wherein alpha 1 and alpha 2 are set proportional coefficients respectively; when the strategy value is larger than 1, the load index is excessively low and is not matched with the active index of the current marine environment, and then a load tuning instruction is generated and load tuning operation is carried out; when the road planning value is smaller than 1, the load index is excessively high and is not matched with the active index of the current marine environment, and then a load reducing and regulating instruction is generated and load reducing and regulating operation is carried out; when the policy value is equal to 1, the current load index is matched with the active index, and no adjustment is needed;
the method comprises the steps of calling an active index of the current marine environment, comparing the active index with a set active interval, and when the active index is larger than the maximum value in the set active interval, indicating that the current marine environment is in a highly active state, matching the current marine environment to a load upper limit p1; when the activity index is within the set activity interval, matching to the upper load limit p2; when the activity index is smaller than the minimum value in the set activity interval, matching to the upper load limit p3; the upper load limit obtained by matching is denoted as pk, wherein k=1, 2,3; the current sensing load index is called, the sensing load index Fb and the load upper limit pk are calculated to obtain the sensing power upper limit ωk through a set formula ωk=λ× (pk-Fb), wherein λ is a set power conversion coefficient; generating corresponding sensing power intervals [0, omega 3], [ omega 3, omega 2], [ omega 2, omega 1] according to the generated sensing power upper limit, wherein the load tuning operation is to compare and match the activity index with the set activity interval to the corresponding load upper limit, and tune the sensor power to the corresponding sensing power interval; the load reduction operation is to compare and match the active index with the set active interval to the corresponding load upper limit and reduce the sensor power to the corresponding sensing power interval; the running power of the sensor is selectively reduced by analyzing the marine ecological environment, so that the energy consumption of the sensor is reduced, the energy utilization efficiency of the sensor is improved, and the service life of a battery is prolonged while marine anomaly monitoring is ensured.
Example 2:
based on embodiment 1, a sensor verification unit in communication connection with the server corrects and verifies the sensor according to the received sensor information, specifically:
s1: when the server receives the sensing information, the sensing information Tir and the corresponding data volume L are called Tir Wherein i represents a time corresponding to the reading of the sensing information, r represents a time corresponding to the receiving of the sensing information by the server, and r=1, 2,3 … … n2 and n2 are positive integers; calculating the difference between the receiving time r and the reading time i to obtain a corresponding receiving time length H Tir ；
S2: setting the preset receiving time length of the sensing information Tir as J Tir The method comprises the steps of carrying out a first treatment on the surface of the The preset data quantity of the sensing information is marked as D Tir ；
S3: using the formulaAcquiring a transmission state value CHZ of the sensor; wherein c1 and c2 are both preset scaling factors; comparing and analyzing the transmission state value with a set transmission interval, when the transmission state value is larger than the maximum value in the set transmission interval, indicating that the current sensor is in a serious overload state, and if the reliability of the acquired data is lower, the sensor with higher efficiency needs to be replaced, the sensor is recorded as a sensor to be processed; when the transmission state value of the overload sensor is within a set transmission interval, generating a batch transmission instruction and controlling the sensor to transmit the acquired sensing information in batches, so that the number and frequency of data transmission are reduced, and the sensing load is reduced; when the transmission state value of the overload sensor is smaller than the minimum value of the set transmission interval, no operation is needed; according to the formula, when the data quantity of the sensing information transmitted by the sensor is larger, the receiving time of the sensor is closer to the set receiving time, the transmission state value is larger, so that the sensor is in a working state of busy transmission and overload, and the service life of the sensor is shortened and the operation precision of the sensor is affected after the sensor is in the state for a long time;
s4: when the server does not receive the sensing information within a certain time range of a preset receiving duration, generating a checking instruction and sending the checking instruction to the power control unit, when the power control unit receives the checking instruction, sending a request confirmation instruction to a corresponding sensor, when the power control unit does not receive the confirmation instruction, judging that the sensor is in a fault state, and marking the sensor as a fault sensor and feeding back the fault sensor to the sensing checking unit;
s5: the depth of the positions of the to-be-processed sensor and the obstacle sensor and the distance between the to-be-processed sensor and the base station are called as h1 and h2 respectively, the to-be-processed sensor and the obstacle sensor are substituted into a set formula HM=d1×h1+d2×h2 to calculate a processing coefficient HM, wherein d1 and d2 are set proportionality coefficients respectively; when the processing coefficient is larger than the set processing threshold, the position of the sensor is sent to the end of the underwater robot, and the underwater robot replaces the sensor underwater; otherwise, the position is sent to the mobile end of the maintenance personnel, and the sensor is replaced by the maintenance personnel when the maintenance personnel is in water supply; and comprehensively analyzing according to the position and the depth of the sensor and selecting the most suitable processing object to ensure that the sensor can quickly and accurately recover the normal working state, thereby ensuring the accuracy and the stability of the monitoring data.
Further, the biological value is obtained by carrying out normalization processing on the biological type, the biological sign and the biological quantity in the environment of the monitoring area in unit time and taking the numerical value, carrying out formula calculation processing on the numerical value, and comparing, analyzing and judging the biological value with a set threshold value to obtain the active state which is respectively the high active moment, the medium active moment and the inactive moment; respectively counting the number of the active states which are respectively the high active time, the medium active time and the inactive time, and obtaining an active index through formulation calculation processing, wherein the active index represents the activity degree of marine organisms in the monitoring area, and the marine environment is subjected to quantization processing to lay a foundation for the regulation of the sensor;
the power consumption of the sensor for reading the sensing information is compared with a set power consumption interval to analyze the power consumption, the power consumption is divided into a high-consumption average value, a medium-consumption average value and a low-consumption average value, average value operations are respectively carried out on the power consumption to obtain corresponding high-consumption average value, medium-consumption average value and low-consumption average value, and formula calculation is carried out on the corresponding high-consumption average value, medium-consumption average value and low-consumption average value to obtain an overall work consumption value, and the overall work consumption value can reflect the overall condition of the power consumption of the sensor compared with the simple power consumption average value; taking the data quantity corresponding to a plurality of moments as a group, and dividing the quantity group into j groups; establishing a two-dimensional rectangular coordinate system of data quantity and time to obtain a fold line relation diagram of the data quantity and the change with time; respectively taking the intersection points of the perpendicular bisectors of the adjacent line segments as circle centers, respectively taking the distances from the circle centers to the adjacent line segments as radiuses to form circles, comparing and analyzing the areas of the circles with a set threshold value to obtain an endpoint to be processed, and carrying out averaging operation on other data volumes except the endpoint to obtain a data volume average value, wherein the operation removes the influence of abnormal values, improves the stability of a data set, and ensures that the average value is more reliable; normalizing the power consumption, the overall power consumption value, the intra-group deviation and the type coefficient, taking the numerical value, and carrying out formula calculation on the numerical value to obtain a load index; the active index and the load index are analyzed through a set formula to obtain a strategy value, whether the active index and the load index are matched or not is judged according to the strategy value, a corresponding sensing power interval is generated to adjust the running power of the sensor to match with the marine ecological environment, the abnormal marine monitoring is ensured, the energy consumption of the sensor is reduced, the energy utilization efficiency of the sensor is improved, and the service life of a battery is prolonged;
carrying out normalization processing on the receiving time length of the sensing information, the corresponding data quantity, the preset receiving time length and the preset data quantity to obtain a numerical value, carrying out formulated calculation analysis on the numerical value to obtain a transmission state value, comparing and analyzing the state of the sensor according to the transmission state value and a set threshold value to generate a sensor to be processed and a batch transmission instruction, controlling the sensor to transmit the acquired sensing information in batches, and reducing the quantity and frequency of data transmission, thereby reducing the sensing load; when the power control unit does not receive the confirmation instruction, judging that the sensor is in a fault state, and marking the sensor as a fault sensor to be fed back to the sensing and checking unit; and carrying out normalization processing on the depth of the position of the sensor to be processed and the obstacle sensor and the distance from the base station, taking the numerical value, carrying out formula calculation analysis on the numerical value to obtain a processing coefficient, carrying out comparison analysis on the processing coefficient and a set threshold value, sending the sensor position to a corresponding processing end, carrying out comprehensive analysis according to the position and the depth of the sensor, and selecting the most suitable processing object so as to ensure that the sensor can quickly and accurately recover the normal working state, thereby ensuring the accuracy and the stability of monitoring data.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. The marine ecological environment monitoring system based on the wireless sensor network comprises a data acquisition unit and a server, wherein the data acquisition unit is in communication connection with a plurality of wireless sensors to acquire marine environment information and sensing information, and sends the marine environment information and the sensing information to the server for storage; characterized by further comprising:
the environment analysis unit is used for carrying out normalization processing on the marine environment information, taking the numerical value of the marine environment information, carrying out formulation calculation processing on the numerical value to obtain a biological value, and comparing, analyzing and judging the biological value with a set threshold value to obtain an active state which is respectively a high active time, a medium active time and an inactive time; counting the number of the high active time, the medium active time and the non-active time respectively, and obtaining an active index through formulation calculation;
the sensing analysis unit is used for carrying out numerical analysis on the power consumption to obtain an overall power consumption value, taking data quantity corresponding to a plurality of moments as a group, and establishing a two-dimensional rectangular coordinate system of the data quantity and time to obtain a fold line relation diagram of the change of the data quantity along with the time; image preprocessing is carried out according to the relation diagram, abnormal data in the group are removed, and the rest data are subjected to average value calculation to obtain a data average value; respectively carrying out difference calculation on the data quantity in the group and the corresponding data quantity average value to obtain a data quantity difference value, and carrying out summation operation on the data quantity difference value to obtain a deviation in the group; normalizing the power consumption, the overall power consumption value, the intra-group deviation and the type coefficient, taking the numerical value, and carrying out formula calculation on the numerical value to obtain a load index;
the sensor checking unit corrects and checks the sensor through the sensing information, and specifically comprises the following steps:
s1: when the server receives the sensing information, the data quantity corresponding to the sensing information is called, and the difference value between the receiving time and the reading time of the sensing information is calculated to obtain the corresponding receiving time length;
s2: setting a preset receiving time length and a preset data volume of the sensing information;
s3: normalizing the data quantity, the receiving time length, the preset receiving time length and the preset data quantity, taking the numerical value of the data quantity, and carrying out formulated calculation on the numerical value to obtain a transmission state value; comparing and analyzing the transmission state value with a set transmission interval, and marking the transmission state value as a sensor to be processed when the transmission state value is larger than the maximum value in the set transmission interval; when the transmission state value is within the set transmission interval, generating a batch transmission instruction and controlling the sensor to perform batch transmission operation on the acquired sensing information;
s4: when the server does not receive the sensing information within a certain time range of a preset receiving duration, generating a checking instruction and sending the checking instruction to the power control unit, when the power control unit receives the checking instruction, sending a request confirmation instruction to a corresponding sensor, when the power control unit does not receive the confirmation instruction, judging that the sensor is in a fault state, and marking the sensor as a fault sensor and feeding back the fault sensor to the sensing checking unit;
s5: the depth of the positions of the sensor to be processed and the obstacle sensor and the distance between the sensor to be processed and the base station are called, and the sensor to be processed and the obstacle sensor are subjected to numerical analysis to obtain a processing coefficient; comparing and analyzing the processing coefficient with a set processing threshold value, and sending the position of the sensor to a corresponding processing end according to an analysis result;
the power control unit is used for receiving the active index and the load index, normalizing the active index and the load index, taking the values, carrying out formula calculation on the values to obtain strategy values, and judging whether the active index and the load index are matched and generating a corresponding sensing power interval according to the strategy values.
2. The wireless sensor network-based marine environmental monitoring system of claim 1, wherein the marine environmental information comprises a biological type, a biological sign, and a biological quantity; the sensing information comprises sensor type, power consumption and data volume; the processing end comprises an underwater robot end and a movable end of a maintenance personnel.
3. The marine ecological environment monitoring system based on the wireless sensor network according to claim 1, wherein the power consumption is numerically analyzed to obtain an overall power consumption value, and the concrete steps of the numerically analysis are as follows:
the power consumption of the sensor for reading the sensing information is called, the power consumption is compared with a set power consumption interval W1, and when the power consumption is larger than the maximum value in the set power consumption interval W1, the power consumption is recorded as high power consumption; when the power consumption is within the set power consumption interval W1, the power consumption is recorded as medium power consumption; when the power consumption is smaller than the minimum value in the set power consumption interval W1, the power consumption is recorded as low power consumption; and respectively carrying out average operation on the power consumption marked as high power consumption, medium power consumption and low power consumption to respectively obtain a high-consumption average value, a medium-consumption average value and a low-consumption average value, and carrying out formulated calculation on the high-consumption average value, the medium-consumption average value and the low-consumption average value to obtain an overall power consumption value.
4. The marine ecological environment monitoring system based on the wireless sensor network according to claim 3, wherein the image preprocessing is performed according to the relation diagram to reject abnormal data volume in the group, and the remaining data volume is subjected to averaging operation to obtain a data volume average value, wherein the specific steps of the image preprocessing are as follows:
establishing a two-dimensional rectangular coordinate system by taking data quantity corresponding to a plurality of moments as a group and taking the data quantity in the group as an ordinate and the reading moment corresponding to the data quantity as the ordinate; respectively taking midpoints of adjacent line segments, respectively making perpendicular bisectors, taking the phase point of the perpendicular bisectors of the adjacent line segments as a circle center, respectively drawing circles with the distance from the circle center to the adjacent line segments as a radius to obtain a circular ring, and calculating to obtain the area of the circular ring; and comparing the area of the circular ring with a set area threshold value to obtain an endpoint to be processed, and deleting the data quantity corresponding to all the points to be processed in the group.
5. The marine ecological environment monitoring system based on the wireless sensor network according to claim 1, wherein the specific step of judging whether the activity index and the load index are matched is as follows:
the method comprises the steps of calling an active index and a load index, and obtaining a strategy value through numerical analysis; when the strategy value is greater than 1, generating a load tuning instruction and performing load tuning operation; and when the policy value is smaller than 1, generating a load reducing and regulating instruction and carrying out load reducing and regulating operation.
6. The marine ecological environment monitoring system based on the wireless sensor network according to claim 5, wherein the specific steps of generating the sensing power interval are as follows:
the method comprises the steps of calling an active index, comparing the active index with a set active interval, matching the active index with a corresponding load upper limit, calling the load index, and carrying out numerical treatment on the load index and the load upper limit to obtain a sensing power upper limit; generating a corresponding sensing power interval according to the generated sensing power upper limit; the load tuning operation is to compare and match the active index with the set active interval to the corresponding load upper limit and tune the sensor power to the corresponding sensing power interval; the load reduction operation is to compare and match the activity index with the set activity interval to the corresponding upper load limit and reduce the sensor power to the corresponding sensing power interval.
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