CN115619079A - Natural protection area integrated monitoring and management system based on Internet of things - Google Patents

Natural protection area integrated monitoring and management system based on Internet of things Download PDF

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CN115619079A
CN115619079A CN202211368670.XA CN202211368670A CN115619079A CN 115619079 A CN115619079 A CN 115619079A CN 202211368670 A CN202211368670 A CN 202211368670A CN 115619079 A CN115619079 A CN 115619079A
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黄刚
龚剑锋
陈欣
邓宏湡
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Jiangxi And One Tech Co ltd
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Abstract

The invention belongs to the field of ecological protection, relates to a data analysis technology, and is used for solving the problem that the existing natural protection area integrated monitoring and management system does not have a perfect monitoring resource configuration system, in particular to a natural protection area integrated monitoring and management system based on the Internet of things, which comprises a monitoring and management platform, wherein the monitoring and management platform is in communication connection with a priority analysis module, a resource configuration module, an ecological monitoring module and a storage module; dividing the natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, acquiring the standing data, the tourist data and the path data of the monitoring areas at the beginning of the monitoring period, and performing numerical calculation to obtain the priority coefficient YX of the monitoring areas; the invention can feed back the monitoring resource allocation priority in the monitoring area through the priority coefficient, mark the priority level of the monitoring area at the same time, and then perform resource allocation rate for the monitoring object according to the priority level.

Description

Natural protection area integrated monitoring and management system based on Internet of things
Technical Field
The invention belongs to the field of ecological protection, relates to a data analysis technology, and particularly relates to a natural protection area integrated monitoring and management system based on the Internet of things.
Background
The nature protection area refers to a region which is divided into a certain area according to law and is specially protected and managed for the land, the land water area or the sea area where the protection objects such as a representative natural ecosystem, natural centralized distribution of rare or endangered wild animal and plant species, natural vestige with special significance and the like are located; the natural protection area can be divided into an ecosystem type protection area, a biological species protection area and a natural vestige protection area according to main protection objects.
The existing integrated monitoring and management system for the natural protection area does not have a perfect monitoring resource allocation system, so that the targeted resource allocation cannot be carried out according to the monitoring requirements of each area, the monitoring efficiency of each area in the natural protection area is low, in addition, aiming at a non-biological ecological protection area, the imbalance reason cannot be analyzed when ecological imbalance occurs, the measures are only limited to limit human activities to carry out ecological balance improvement, the treatment efficiency is low when ecological imbalance occurs, and the effectiveness of the treatment measures is not high.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a natural protection area integrated monitoring and management system based on the Internet of things, which is used for solving the problem that the existing natural protection area integrated monitoring and management system does not have a perfect monitoring resource allocation system;
the technical problems to be solved by the invention are as follows: how to provide a natural reserve area integrated monitoring management system with a perfect monitoring resource allocation system.
The purpose of the invention can be realized by the following technical scheme:
an integrated monitoring and management system of a natural protection area based on the Internet of things comprises a monitoring and management platform, and is characterized in that the monitoring and management platform is in communication connection with a priority analysis module, a resource allocation module, an ecological monitoring module and a storage module;
the priority analysis module carries out regional monitoring priority analysis on the natural protection area: dividing the natural protection area into a plurality of monitoring areas in a plane equal-area dividing mode, and analyzing the regular living data, the tourist data and the path data of the monitoring areas to obtain a priority coefficient YX of the monitoring areas; sequencing the resource allocation priorities of the monitoring areas according to the numerical value of the priority coefficient YX, marking the priority levels, and sending the priority levels of the monitoring areas to a resource allocation module through a monitoring management platform;
the resource allocation module receives the priority level of the monitoring area and then performs resource allocation management analysis on the monitoring area to obtain protection station data, sentry point data and stationing data of the monitoring area; after the protection station data, the sentry point data and the stationing data are integrated, protection station distribution, stationing point distribution and stationing personnel distribution are carried out on the monitoring area;
the ecological monitoring module is used for carrying out non-biological ecological monitoring analysis on the natural protection area: dividing a monitoring period into a plurality of monitoring time periods with equal time length, acquiring water quality data, soil data and air data of a monitored object in the monitoring time periods, and performing numerical calculation to obtain an ecological coefficient ST of the monitored object in the monitoring time periods; acquiring priority data of a monitored object in a monitoring period; establishing a rectangular coordinate system by taking the monitoring time as an X axis and the priority data as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the end moment of the monitoring period as a horizontal coordinate and taking the priority data of the monitoring period as a vertical coordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, and marking the slope value of the monitoring line segment at the left side of the monitoring period as an optimal gain coefficient YZ of the monitoring period; carrying out numerical calculation on the ecological coefficient of the monitoring time period and the ecological coefficient of the previous monitoring time period to obtain an attitude increment coefficient TZ of the monitored object in the monitoring time period; and judging whether the non-biological ecological monitoring result of the monitoring area in the monitoring time period is qualified or not according to the numerical values of the dynamic coefficient TZ and the optimal coefficient YZ.
As a preferred embodiment of the present invention, the standing data is the number of the standing population of the monitoring area at the end of the previous monitoring period, the visitor data is the total number of the visitors admitted to the monitoring area in the previous monitoring period, and the route data is the total number of the roads in the monitoring area at the start of the monitoring period.
As a preferred embodiment of the present invention, the process of marking the priority level includes: acquiring preferential allocation boundary values YF1 and YF2 through a storage module, wherein YF1 is the minimum preferential allocation boundary value and YF2 is the maximum preferential allocation boundary value; numerically comparing the priority coefficient YX of the monitored region with the priority assignment boundary values YF1, YF 2:
if YX is less than or equal to YF1, marking the priority level of the corresponding monitoring area as a third level;
if YF1 is more than YX and less than YF2, marking the priority level of the corresponding monitoring area as a second level;
if YX is larger than or equal to YF2, marking the priority level of the corresponding monitoring area as a level;
and sending the priority levels of all the monitoring areas to a resource configuration module through a monitoring management platform.
As a preferred embodiment of the present invention, the process of acquiring the guard station data, the sentry point data, and the stationing data of the monitoring area includes: acquiring a total value of the number of protection stations, a total value of the number of sentry points and a total value of the number of stationers in a natural protection area through a storage module; respectively marking the ratio of the total number of the protection stations, the total number of the whistle points, the total number of the stationers and the number of the monitoring areas as a protection value, a whistle point value and a stationing value;
protection station data, sentry point data and stationing data of a monitoring area are obtained through formula protection station data = t1 protection value, sentry point data = t1 sentry point value and stationing data = t1 stationing value, wherein t1 is a proportionality coefficient, and the dereferencing and judging process of t1 comprises the following steps:
if the priority level of the monitoring area is the first level, t1 is more than or equal to 1.45 and less than or equal to 1.65;
if the priority level of the monitoring area is two, t1=1;
if the priority level of the monitoring area is three, t1 is more than or equal to 0.35 and less than or equal to 0.5.
As a preferred embodiment of the present invention, after protection station allocation, stationing allocation, and stationing personnel allocation are performed in a monitoring area, protection station data of all monitoring areas are summed to obtain a total protection station amount, and the total protection station amount is compared with a total protection station amount value: if the total number of the protection stations is less than or equal to the total number of the protection stations, judging that the resource allocation of the natural protection area meets the requirement; and if the total number of the protection stations is greater than the total number of the protection stations, judging that the resource configuration of the natural protection area does not meet the requirement, and sending an insufficient configuration signal to a mobile phone terminal of a manager by the resource configuration module through the monitoring management platform.
As a preferred embodiment of the present invention, the water quality data is an average value of concentration values of organic substances obtained by monitoring the water quality of the monitored object within a monitoring period; the soil data is the average value of heavy metal concentration values obtained by soil monitoring of a monitored object in a monitoring period; the air data is the average value of the concentration value of the acid gas for monitoring the air of the monitored object in the monitoring time period;
the priority data of the monitoring objects in the monitoring period is obtained by numerical calculation of the number of the living population of the monitoring objects at the end of the monitoring period, the number of the tourists of the monitoring objects in the monitoring period and the total number of the roads in the monitoring objects at the end of the monitoring period.
In a preferred embodiment of the present invention, the memory module obtains the transient increase boundary value TZb and the optimal increase boundary value YZb, and compares the transient increase coefficient TZ and the optimal increase coefficient YZ with the transient increase boundary value TZb and the optimal increase boundary value YZb, respectively:
if the state increasing coefficient TZ is smaller than the state increasing boundary value TZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period meets the requirement;
if the dynamic increment coefficient TZ is greater than or equal to a dynamic increment boundary value TZb and the optimal increment coefficient YZ is greater than or equal to a optimal increment boundary value YZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period is unqualified and the unqualified reason is human activity, and sending a configuration updating signal to the resource configuration module by the ecological monitoring module through the monitoring management platform;
and if the ecological increment coefficient TZ is greater than or equal to the ecological increment boundary value TZb and the optimal increment coefficient YZ is smaller than the optimal increment boundary value YZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period is unqualified and the unqualified reason is ecological imbalance, and sending an ecological imbalance signal to a mobile phone terminal of a manager by the ecological monitoring module through the monitoring management platform.
As a preferred embodiment of the present invention, the working method of the integrated monitoring and management system for a natural reserve area based on the internet of things includes the following steps:
the method comprises the following steps: carrying out regional monitoring priority analysis on the natural protection area: dividing the natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, acquiring a priority coefficient of the monitoring area at the beginning of the monitoring period, and marking the priority level of the monitoring area as a first level, a second level or a third level according to the numerical value of the priority coefficient;
step two: distributing corresponding protection station data, sentry point data and stationing data for the monitoring area according to the priority level of the monitoring area, and performing protection station distribution, stationing point distribution and stationing personnel distribution on the monitoring area after the protection station data, the sentry point data and the stationing data are integrated;
step three: monitoring and analyzing the non-biological ecology of the natural conservation area: dividing the monitoring period into a plurality of monitoring periods, acquiring water quality data, soil data and air data of the monitored object in the monitoring periods, carrying out numerical calculation to obtain an attitude increment coefficient and an optimum increment coefficient of the monitored object in the monitoring periods, and judging whether the non-biological ecological monitoring result of the monitored object in the monitoring periods is qualified or not according to the numerical values of the attitude increment coefficient and the optimum increment coefficient.
The invention has the following beneficial effects:
1. the method comprises the steps that a priority analysis module can perform regional monitoring and priority analysis on a natural protection area to obtain a priority coefficient, the priority coefficient can be used for feeding back the monitoring resource distribution priority in the monitoring area, meanwhile, the priority level marking is performed on the monitoring area, then, resource distribution is performed on a monitored object according to the priority level, the condition that the area with frequent human activities can obtain resource distribution inclination is ensured, and the monitoring efficiency of the whole natural protection area is further ensured;
2. the resource allocation management analysis can be carried out on the monitored area through the resource allocation module, whether the resource allocation of the natural protection area meets the requirement or not can be judged while the resources are allocated reasonably, the monitoring resource sufficiency degree of the natural protection area is fed back through objective data, and the resources are complemented when the allocation is insufficient, so that the phenomenon that the resource allocation is not uniform due to judgment of human beings and the natural protection area cannot be effectively monitored is avoided;
3. the ecological monitoring module can be used for carrying out non-biological ecological monitoring analysis on the natural protection area, the ecological protection state of the monitored object in the monitoring period is fed back through ecological coefficients, and meanwhile, the change trend of the priority data of each monitoring period in the monitoring period is combined, so that the reason of unqualified ecological monitoring results is judged, and further, targeted measures are taken for maintenance treatment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a system block diagram of the present invention as a whole;
FIG. 2 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 3 is a block diagram of a system according to a second embodiment of the present invention;
fig. 4 is a flowchart of a method according to a third embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an integrated monitoring and management system for a natural reserve based on the internet of things comprises a monitoring and management platform, wherein the monitoring and management platform is in communication connection with a priority analysis module, a resource allocation module, an ecological monitoring module and a storage module.
Example one
As shown in fig. 2, the priority analysis module is configured to perform regional monitoring priority analysis on the natural reserve: dividing a natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, and acquiring standing data CZ, visitor data YK and path data LJ of the monitoring areas at the beginning of the monitoring period, wherein the standing data CZ is the number of the standing population of the monitoring areas at the end of the last monitoring period, the visitor data YK is the total number of visitors admitted by the monitoring areas in the last monitoring period, and the path data LJ is the total number of roads in the monitoring areas at the beginning of the monitoring period; obtaining a priority coefficient YX of the monitoring area through a formula YX = alpha 1 CZ + alpha 2 YK + alpha 3 LJ, wherein the priority coefficient is a numerical value reflecting the degree of human interference in the monitoring area, and the larger the numerical value of the priority coefficient is, the higher the degree of human interference in the monitoring area is, the higher the occupation ratio of the monitoring resources distributed to the monitoring area is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 3 is more than alpha 2 and more than alpha 1; acquiring preferential distribution boundary values YF1 and YF2 through a storage module, wherein YF1 is a minimum preferential threshold value, and YF2 is a maximum preferential threshold value; comparing the priority coefficient YX of the monitored region with the priority assignment boundary values YF1, YF 2: if YX is less than or equal to YF1, marking the priority level of the corresponding monitoring area as a third level; if YF1 is more than YX and less than YF2, marking the priority level of the corresponding monitoring area as a second level; if YX is larger than or equal to YF2, marking the priority level of the corresponding monitoring area as a level; sending the priority levels of all the monitoring areas to a resource allocation module through a monitoring management platform; the method comprises the steps of carrying out regional monitoring and priority analysis on a natural protection area to obtain a priority coefficient, feeding back monitoring resource distribution priority in the monitored area through the priority coefficient, marking the priority level of the monitored area, carrying out resource distribution on a monitored object according to the priority level, ensuring that the area with frequent human activities can obtain resource distribution inclination, and further ensuring the monitoring efficiency of the whole natural protection area.
The resource allocation module is used for performing resource allocation management analysis on the monitoring area after receiving the priority level of the monitoring area: distributing corresponding protection station data, sentry point data and stationing data for the monitoring area according to the priority level of the monitoring area: acquiring a total value of the number of protection stations, a total value of the number of sentry points and a total value of the number of stationers in a natural protection area through a storage module; respectively marking the ratio of the total number of the protection stations, the total number of the whistle points, the total number of the stationers and the number of the monitoring areas as a protection value, a whistle point value and a stationing value; obtaining protection station data, sentry point data and stationing data of a monitoring area through formula protection station data = t1 protection value, sentry point data = t1 sentry point value and stationing data = t1 stationing value, wherein t1 is a proportionality coefficient, and the dereferencing judgment process of t1 comprises: if the priority level of the monitoring area is a first level, t1 is more than or equal to 1.45 and less than or equal to 1.65; if the priority level of the monitoring area is two, t1=1; if the priority level of the monitoring area is three, t1 is more than or equal to 0.35 and less than or equal to 0.5; after the data of the protection station, the data of the sentry points and the data of the stationed people are integrated, the distribution of the protection station, the distribution of the stationed points and the distribution of the stationed people are carried out on the monitoring area; summing the protection station data of all the monitoring areas to obtain the total protection station amount, and comparing the total protection station amount with the total protection station amount value: if the total number of the protection stations is less than or equal to the total number of the protection stations, judging that the resource allocation of the natural protection area meets the requirement; if the total number of the protection stations is larger than the total number of the protection stations, judging that the resource allocation of the natural protection area does not meet the requirement, and sending an insufficient allocation signal to a mobile phone terminal of a manager by a resource allocation module through a monitoring management platform; the monitoring area is subjected to resource allocation management analysis, whether the resource allocation of the natural protection area meets the requirement or not can be judged while the resources are allocated reasonably, the monitoring resource sufficiency degree of the natural protection area is fed back through objective data, and the resources are complemented when the allocation is insufficient, so that the phenomenon that the natural protection area cannot be effectively monitored due to uneven resource allocation caused by judgment of human is avoided.
Example two
As shown in fig. 3, the ecology monitoring module is used for performing non-biological ecology monitoring analysis on the natural conservation area: dividing a monitoring period into a plurality of monitoring time periods, and acquiring water quality data SZ, soil data TR and air data KQ of a monitored object in the monitoring time periods; the water quality data SZ is the average value of the concentration values of the organic matters obtained by monitoring the water quality of the monitored object in the monitoring time period; the soil data TR is the average value of heavy metal concentration values obtained by soil monitoring of a monitored object in a monitoring period; the air data KQ is an average value of concentration values of the acid gas for carrying out air monitoring on the monitored object in a monitoring time period; obtaining an ecological coefficient ST of the monitored object in the monitoring period through a formula ST = beta 1 SZ + beta 2 TR + beta 3 KQ, wherein the ecological coefficient is a numerical value reflecting the ecological maintenance state of the monitored object in the monitoring period, and the larger the numerical value of the ecological coefficient is, the worse the ecological maintenance state of the monitored object in the monitoring period is; wherein β 1, β 2 and β 3 are all proportionality coefficients; acquiring the priority data of the monitored objects in the monitoring period, wherein the priority data of the monitored objects in the monitoring period is obtained by numerically calculating the number of the living population of the monitored objects at the end of the monitoring period, the number of the tourists of the monitored objects in the monitoring period and the total number of the roads in the monitored objects at the end of the monitoring period; establishing a rectangular coordinate system by taking the monitoring time as an X axis and the priority data as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the end moment of the monitoring period as a horizontal coordinate and taking the priority data of the monitoring period as a vertical coordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, and marking the slope value of the monitoring line segment at the left side of the monitoring period as an optimal gain coefficient YZ of the monitoring period; obtaining an increase coefficient TZ of the monitored object in the monitoring period through a formula TZ = gamma 1 × ST + gamma 2 (ST-ST'), wherein the increase coefficient is a numerical value reflecting the deterioration degree of the ecological environment of the monitored object in the monitoring period, and the larger the increase coefficient is, the higher the deterioration degree of the ecological environment of the monitored object in the monitoring period is; wherein gamma 1 and gamma 2 are proportional coefficients, gamma 2 is more than gamma 1 and more than 1, ST' is the ecological coefficient of the last monitored object in the last monitoring period; obtaining an increase boundary value TZb and an increase boundary value YZb through a storage module, and comparing the increase coefficient TZ and the increase boundary value YZ with the increase boundary value TZb and the increase boundary value YZb respectively: if the state increasing coefficient TZ is smaller than the state increasing boundary value TZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period meets the requirement; if the dynamic increment coefficient TZ is greater than or equal to a dynamic increment boundary value TZb and the optimal increment coefficient YZ is greater than or equal to a optimal increment boundary value YZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period is unqualified and the unqualified reason is human activity, and sending a configuration updating signal to the resource configuration module by the ecological monitoring module through the monitoring management platform; if the ecological increment coefficient TZ is greater than or equal to the ecological increment boundary value TZb and the optimal increment coefficient YZ is smaller than the optimal increment boundary value YZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period is unqualified and the unqualified reason is ecological imbalance, and sending an ecological imbalance signal to a mobile phone terminal of a manager by the ecological monitoring module through the monitoring management platform; and performing non-biological ecological monitoring analysis on the natural protection area, feeding back the ecological protection state of the monitored object in the monitoring period through an ecological coefficient, and judging the reason causing disqualification when the ecological monitoring result is disqualified by combining the change trend of the priority data of each monitoring period in the monitoring period, thereby taking targeted measures to perform maintenance treatment.
EXAMPLE III
As shown in fig. 4, a natural reserve area integrated monitoring and management method based on the internet of things includes the following steps:
the method comprises the following steps: carrying out regional monitoring priority analysis on the natural protection area: dividing a natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, acquiring a priority coefficient of the monitoring area at the beginning of the monitoring period, marking the priority level of the monitoring area as a first level, a second level or a third level according to the numerical value of the priority coefficient, and performing resource allocation on a monitored object according to the priority level to ensure that the area with frequent human activities can obtain resource allocation inclination;
step two: the method comprises the steps that corresponding protection station data, sentry point data and stationing data are distributed to a monitoring area through the priority level of the monitoring area, the protection station data, the sentry point data and the stationing data are rounded and then are distributed to the monitoring area, stationing distribution and stationing personnel distribution are carried out, and resources are complemented when the distribution is insufficient, so that the phenomenon that the resource distribution is uneven due to human judgment and the natural protection area cannot be effectively monitored is avoided;
step three: monitoring and analyzing the non-biological ecology of the natural conservation area: the monitoring period is divided into a plurality of monitoring periods, water quality data, soil data and air data of the monitored object in the monitoring periods are obtained, numerical calculation is carried out to obtain an increase coefficient and an increase coefficient of the monitored object in the monitoring periods, whether a non-biological ecological monitoring result of the monitored object in the monitoring periods is qualified or not is judged according to the numerical values of the increase coefficient and the increase coefficient, and reasons causing disqualification are judged when the ecological monitoring result is unqualified, so that targeted measures are taken for maintenance.
The utility model provides a nature protection district integration monitoring management system based on thing networking, during operation carries out regional monitoring priority analysis to the nature protection district: dividing a natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, acquiring a priority coefficient of the monitoring area at the beginning of the monitoring period, marking the priority level of the monitoring area as a first level, a second level or a third level according to the numerical value of the priority coefficient, and performing resource allocation on a monitored object according to the priority level to ensure that the area with frequent human activities can obtain resource allocation inclination; the method comprises the steps of distributing corresponding protection station data, sentry point data and stationing data for a monitoring area through the priority level of the monitoring area, carrying out protection station distribution, stationing point distribution and stationing personnel distribution on the monitoring area after rounding the protection station data, the sentry point data and the stationing data, complementing resources when the configuration is insufficient, avoiding uneven resource configuration caused by judgment of human beings, and avoiding the phenomenon that a natural protection area cannot be effectively monitored.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula YX = α 1 × cz + α 2 × yk + α 3 × lj; collecting multiple groups of sample data and setting corresponding priority coefficient for each group of sample data by technicians in the field; substituting the set priority coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 2.47, 2.89 and 3.64;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding priority coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameter and the quantized value is not affected, for example, the priority coefficient is proportional to the value of the standing data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (8)

1. An integrated monitoring and management system of a natural protection area based on the Internet of things comprises a monitoring and management platform, and is characterized in that the monitoring and management platform is in communication connection with a priority analysis module, a resource allocation module, an ecological monitoring module and a storage module;
the priority analysis module carries out regional monitoring priority analysis on the natural protection area: dividing the natural protection area into a plurality of monitoring areas in a plane equal-area dividing mode, and analyzing the regular living data, the tourist data and the path data of the monitoring areas to obtain a priority coefficient YX of the monitoring areas; sequencing the resource allocation priorities of the monitoring areas according to the numerical value of the priority coefficient YX, marking the priority levels, and sending the priority levels of the monitoring areas to a resource allocation module through a monitoring management platform;
the resource allocation module receives the priority level of the monitoring area and then performs resource allocation management analysis on the monitoring area to obtain protection station data, sentry point data and stationing data of the monitoring area; after the protection station data, the sentry point data and the stationing data are integrated, protection station distribution, stationing point distribution and stationing personnel distribution are carried out on the monitoring area;
the ecological monitoring module is used for carrying out non-biological ecological monitoring analysis on the natural conservation area: dividing a monitoring period into a plurality of monitoring time periods with equal time length, acquiring water quality data, soil data and air data of a monitored object in the monitoring time periods, and performing numerical calculation to obtain an ecological coefficient ST of the monitored object in the monitoring time periods; acquiring priority data of a monitored object in a monitoring period; establishing a rectangular coordinate system by taking the monitoring time as an X axis and the priority data as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the end moment of the monitoring period as a horizontal coordinate and taking the priority data of the monitoring period as a vertical coordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, and marking the slope value of the monitoring line segment at the left side of the monitoring period as an optimal gain coefficient YZ of the monitoring period; carrying out numerical calculation on the ecological coefficient of the monitoring time period and the ecological coefficient of the previous monitoring time period to obtain an attitude increment coefficient TZ of the monitored object in the monitoring time period; and judging whether the non-biological ecological monitoring result of the monitoring area in the monitoring time period is qualified or not according to the numerical values of the dynamic coefficient TZ and the optimal coefficient YZ.
2. The integrated natural protection area monitoring and managing system based on the Internet of things as claimed in claim 1, wherein the standing data is the number of standing population of the monitoring area at the end of the previous monitoring period, the tourist data is the total number of tourists admitted by the monitoring area in the previous monitoring period, and the path data is the total number of roads in the monitoring area at the beginning of the monitoring period.
3. The integrated monitoring and management system for the natural protection area based on the internet of things as claimed in claim 2, wherein the process of marking the priority level comprises: acquiring preferential allocation boundary values YF1 and YF2 through a storage module, wherein YF1 is the minimum preferential allocation boundary value and YF2 is the maximum preferential allocation boundary value; numerically comparing the priority coefficient YX of the monitored region with the priority assignment boundary values YF1, YF 2:
if YX is less than or equal to YF1, marking the priority level of the corresponding monitoring area as a third level;
if YF1 is more than YX and less than YF2, marking the priority level of the corresponding monitoring area as a second level;
if YX is larger than or equal to YF2, marking the priority level of the corresponding monitoring area as a level;
and sending the priority levels of all the monitoring areas to a resource allocation module through a monitoring management platform.
4. The integrated monitoring and management system for the natural protected area based on the internet of things as claimed in claim 3, wherein the process of acquiring the protection station data, the sentry point data and the stationing data of the monitoring area comprises: acquiring a total value of the number of protection stations, a total value of the number of sentry points and a total value of the number of stationers in a natural protection area through a storage module; respectively marking the ratio of the total number of the protection stations, the total number of the whistle points, the total number of the stationers and the number of the monitoring areas as a protection value, a whistle point value and a stationing value;
protection station data, sentry point data and stationing data of a monitoring area are obtained through formula protection station data = t1 protection value, sentry point data = t1 sentry point value and stationing data = t1 stationing value, wherein t1 is a proportionality coefficient, and the dereferencing and judging process of t1 comprises the following steps:
if the priority level of the monitoring area is a first level, t1 is more than or equal to 1.45 and less than or equal to 1.65;
if the priority level of the monitoring area is two, t1=1;
if the priority level of the monitoring area is three, t1 is more than or equal to 0.35 and less than or equal to 0.5.
5. The integrated monitoring and management system for the natural protection area based on the internet of things according to claim 4, wherein after protection station allocation, parking point allocation and parking personnel allocation are performed in a monitoring area, protection station data of all monitoring areas are summed to obtain a total protection station amount, and the total protection station amount is compared with a total protection station amount value: if the total number of the protection stations is less than or equal to the total number of the protection stations, judging that the resource allocation of the natural protection area meets the requirement; and if the total number of the protection stations is greater than the total number of the protection stations, judging that the resource configuration of the natural protection area does not meet the requirement, and sending an insufficient configuration signal to a mobile phone terminal of a manager by the resource configuration module through the monitoring management platform.
6. The integrated monitoring and management system for the natural reserve area based on the Internet of things according to claim 5, wherein the water quality data is an average value of concentration values of organic matters obtained by monitoring the water quality of a monitored object in a monitoring period; the soil data is an average value of heavy metal concentration values obtained by soil monitoring of the monitored object in the monitoring period; the air data is the average value of the concentration value of the acid gas for monitoring the air of the monitored object in the monitoring time period;
the priority data of the monitoring objects in the monitoring period is obtained by numerical calculation of the number of the living population of the monitoring objects at the end of the monitoring period, the number of the tourists of the monitoring objects in the monitoring period and the total number of the roads in the monitoring objects at the end of the monitoring period.
7. The integrated monitoring and management system for the natural protection area based on the internet of things according to claim 6, wherein the dynamic increase boundary value TZb and the optimal increase boundary value YZb are obtained through the storage module, and the dynamic increase coefficient TZ and the optimal increase coefficient YZ are respectively compared with the dynamic increase boundary value TZb and the optimal increase boundary value YZb:
if the state increasing coefficient TZ is smaller than the state increasing boundary value TZb, judging that the non-biological ecological monitoring result of the monitoring object in the monitoring time period meets the requirement;
if the dynamic increment coefficient TZ is greater than or equal to a dynamic increment boundary value TZb and the optimal increment coefficient YZ is greater than or equal to a optimal increment boundary value YZb, judging that the non-biological ecological monitoring result of the monitored object in the monitoring period is unqualified and the unqualified reason is human activity, and sending a configuration updating signal to the resource configuration module by the ecological monitoring module through the monitoring management platform;
if the ecological gain coefficient TZ is greater than or equal to the ecological gain boundary value TZb and the optimal gain coefficient YZ is smaller than the optimal gain boundary value YZb, the non-biological ecological monitoring result of the monitoring object in the monitoring period is judged to be unqualified and the reason of the unqualified result is ecological imbalance, and the ecological monitoring module sends an ecological imbalance signal to a mobile phone terminal of a manager through the monitoring management platform.
8. The integrated internet-of-things-based natural protection area monitoring and management system according to any one of claims 1 to 7, wherein the working method of the integrated internet-of-things-based natural protection area monitoring and management system comprises the following steps:
the method comprises the following steps: carrying out regional monitoring priority analysis on the natural protection area: dividing the natural protection area into a plurality of monitoring areas, setting a monitoring period for the natural protection area, acquiring a priority coefficient of the monitoring area at the beginning of the monitoring period, and marking the priority level of the monitoring area as a first level, a second level or a third level according to the numerical value of the priority coefficient;
step two: distributing corresponding protection station data, sentry point data and stationing data for the monitoring area according to the priority level of the monitoring area, and performing protection station distribution, stationing point distribution and stationing personnel distribution on the monitoring area after the protection station data, the sentry point data and the stationing data are integrated;
step three: carrying out non-biological ecological monitoring analysis on the natural conservation area: dividing the monitoring period into a plurality of monitoring periods, acquiring water quality data, soil data and air data of the monitored object in the monitoring periods, carrying out numerical calculation to obtain an attitude increment coefficient and an optimum increment coefficient of the monitored object in the monitoring periods, and judging whether the non-biological ecological monitoring result of the monitored object in the monitoring periods is qualified or not according to the numerical values of the attitude increment coefficient and the optimum increment coefficient.
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