Forest health environment evaluation and analysis system

Abstract

The application discloses a forest health-care environment evaluation and analysis system, and belongs to the field of environment evaluation and analysis systems.The system comprises an animal calling data acquisition module, a plant distribution data acquisition module, a facility service acquisition module, an environment quality acquisition module, a data receiving module, a data analysis module, a preset data import module, an evaluation module and an early warning notification module.The animal calling data acquisition module is used for acquiring calling data of animals in a target forest and sending the acquired animal calling data to the data receiving module.The plant distribution data acquisition module is used for acquiring distribution data of plants in the target forest.The facility service acquisition module is used for acquiring the running state of facilities in the target forest and the online score of a catering and accommodation shop within three kilometers of the target forest.The application can put the calling of animals into evaluation and analysis, so that the evaluation and analysis result is more accurate and comprehensive.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of environmental assessment analysis systems, in particular to a forest health and wellness environmental assessment analysis system. BACKGROUND

[0002] The forest health and wellness environment is mainly composed of rich and colorful forest landscapes, refreshing forest air, healthy and safe forest food, and rich ecological culture, which provides a natural environment beneficial to human physical and mental health for forest health and wellness activities such as health care, health preservation, rehabilitation, and leisure.

[0003] In order to ensure that the forest health and wellness environment meets the needs, it is necessary to regularly evaluate and analyze the forest health and wellness environment. The forest health and wellness environmental assessment analysis system is a complex and delicate system that works collaboratively through various technical means and modules to achieve comprehensive and objective assessment of the forest health and wellness environment. This helps to promote the development of the forest health and wellness industry and improve people's health level and quality of life.

[0004] The existing assessment analysis system has certain defects in terms of forest health and wellness environment, that is, it focuses too much on the assessment of air, water quality and soil of the forest health and wellness environment, but ignores the harmonious coexistence between humans and animals, especially the animal calls that can add natural atmosphere and promote physical and mental health. However, the existing technology does not include this point in the assessment analysis. Therefore, the present application provides a forest health and wellness environmental assessment analysis system to solve the problems raised in the background art. SUMMARY

[0005] The present application aims to provide a forest health and wellness environmental assessment analysis system that can include animal calls in the assessment analysis, thereby making the assessment analysis results more accurate and comprehensive, to solve the problems raised in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0007] A forest health and wellness environmental assessment analysis system, comprising an animal call data acquisition module, a plant distribution data acquisition module, a facility service acquisition module, an environmental quality acquisition module, a data receiving module, a data analysis module, a preset data import module, an evaluation module, and a warning notification module.

[0008] The animal calling data collection module is used for collecting calling data of animals in the target forest, and sending the collected animal calling data to the data receiving module; the plant distribution data collection module is used for collecting distribution data of plants in the target forest, and sending the collected plant distribution data to the data receiving module; the facility service collection module is used for collecting the running state of facilities in the target forest and the online score of a catering and accommodation store within three kilometers of the target forest, and sending the collected data to the data receiving module; the environmental quality collection module is used for collecting air quality indicators, water quality indicators and soil quality indicators in the target forest, and sending the collected data to the data receiving module; the data receiving module is used for receiving all data for integration, and then sending the integrated data to the data analysis module; the preset data import module is used for importing preset data to the data analysis module; the data analysis module is used for receiving all transmitted data and performing analysis, and outputting the analysis result to the evaluation module; the evaluation module is used for evaluating the health care environment of the target forest according to the analysis result, and sending the evaluation result to the early warning notification module; the early warning notification module is used for sending early warning notification to the background monitoring personnel when the evaluation result is abnormal.

[0009] As a further scheme of the present application: the specific process of the data analysis module analyzing the data collected by the animal calling data collection module is:

[0010] Step one: classify the calling sounds of all animals collected on the same day according to animal species, and mark the classified animal calling as Ai, i = 1···k, wherein k is the number of animal species that call on the same day, and k is a positive integer;

[0011] Step two: compare and analyze the same animal calling Ai with the past records to obtain the first weight value corresponding to the same animal calling Ai, which is specifically:

[0012] S201: mark the calling times of the same animal calling Ai on the same day as a0, and mark the total calling time on the same day as b0;

[0013] S202: collect the calling times and total calling time of the same animal calling Ai in the past three days, and mark the calling times as a1, a2, a3, and mark the total calling time as b1, b2, b3;

[0014] S203: collect the calling times and total calling time of the same animal calling Ai in the past three years on the same day, and mark the calling times as c1, c2, c3, and mark the total calling time as d1, d2, d3;

[0015] S204: Calculate the first weight value v1 corresponding to the call of the same type of animal Ai = 10%*(a0 / a1) + 20%*(a0 / a2) + 30%*(a0 / a3) + 5%*(a0 / c1) + 15%*(a0 / c2) + 20%*(a0 / c3) + 10%*(b0 / b1) + 20%*(b0 / b2) + 30%*(b0 / b3) + 5%*(b0 / d1) + 15%*(b0 / d2) + 20%*(b0 / d3);

[0016] Step 3: Combine the first weight values ​​corresponding to the calls Ai of all animals of the same type to obtain the comprehensive weight value of the call distribution corresponding to the calls of all animals on that day. The comprehensive weight value of the call distribution is the sum of the first weight values ​​v1 corresponding to the calls Ai of each animal of the same type.

[0017] Step 4: Perform emotion recognition on the calls Ai of animals of the same type to obtain the second weight value corresponding to the calls Ai of animals of the same type, specifically:

[0018] S401: The animal vocalization translator performs emotion recognition on the vocalizations of the same animal (Ai), assigning vocalizations with positive emotions to the first sequence and vocalizations with negative emotions to the second sequence. Positive emotions include happiness, satisfaction, excitement, and play, while negative emotions include sadness, loneliness, anger, warning, anxiety, fear, and aggression.

[0019] S402: Count the number of calls in the first sequence and label it as e1; count the number of calls in the second sequence and label it as e2, where e1 + e2 = a0;

[0020] S403: Calculate the second weight value v2 corresponding to the call Ai of the same type of animal, v2=40%*e1-60%*e2;

[0021] Step 5: Combine the second weight values ​​corresponding to the calls Ai of all animals of the same type to obtain the comprehensive weight value of the call emotions corresponding to the calls of all animals on that day. The comprehensive weight value of the call emotions is the sum of the second weight values ​​v2 corresponding to the calls Ai of each animal of the same type.

[0022] Step 6: Calculate the animal call scores for the target forest based on the comprehensive weight value of call distribution and the comprehensive weight value of call emotion.

[0023] As a further aspect of the present invention: the specific calculation process for the animal call score of the target forest is as follows:

[0024] The comprehensive weight value of the chirping distribution is labeled as V1, and the comprehensive weight value of the chirping emotion is labeled as V2;

[0025] Mark the preset call distribution weight value as V3, and mark the preset call emotion weight value as V4.

[0026] Calculate the animal call score S1 of the target forest = (V1 / V3) + (V2 / V4).

[0027] As a further scheme of the present application, the specific process that the data analysis module analyzes the data collected by the plant distribution data collection module is:

[0028] Collect the number of all plants within three meters on both sides of the internal road of the target forest and mark it as F1, mark the number of toxic and harmful plants among them as f1, and mark the number of non-toxic and harmless plants among them as f2, wherein F1=f1+f2;

[0029] Collect the number of all plant species within the target forest and mark it as G1, mark the number of toxic and harmful plants among them as g1, and mark the number of non-toxic and harmless plants among them as g2, wherein G1=g1+g2;

[0030] Mark the preset number of plants within three meters on both sides of the internal road of the target forest as F2, and mark the preset number of all plant species within the target forest as G2;

[0031] Calculate the plant distribution score S2 of the target forest = (F1 / F2) + (G1 / G2) + (g1 / g2) + (f1 / f2).

[0032] As a further scheme of the present application, the specific process that the data analysis module analyzes the data collected by the facility service collection module is:

[0033] Mark the number of damaged facilities in the target forest as x, and mark the total number of facilities in the target forest as X;

[0034] Mark the catering and accommodation stores within three kilometers of the target forest as Yi, i=1···n, n is a positive integer;

[0035] Collect the online score of the catering and accommodation store Yi and mark it as Zi, calculate the average value of all online scores Zi and mark it as Z 平均 ;

[0036] Calculate the facility service score S3 of the target forest = (x / X)*(Z 平均 / Z 预设 ), wherein Z 预设 is a preset score value.

[0037] As a further scheme of the present application, the specific process that the data analysis module analyzes the data collected by the environment quality collection module is:

[0038] The collected air quality index in the target forest is marked as P1, the collected water quality index in the target forest is marked as P2, and the collected soil quality index in the target forest is marked as P3;

[0039] The air quality index P1 is compared with the preset air quality index interval. If the air quality index P1 is located within the preset air quality index interval, the air quality weight value Q1=0 is given. If the air quality index P1 is not located within the preset air quality index interval, the air quality weight value Q1 is the difference between the air quality index P1 and the adjacent endpoints of the preset air quality index interval.

[0040] The water quality index P2 is compared with the preset water quality index interval. If the water quality index P2 is located within the preset water quality index interval, the water quality weight value Q2=0 is given. If the water quality index P2 is not located within the preset water quality index interval, the water quality weight value Q2 is the difference between the water quality index P2 and the adjacent endpoints of the preset water quality index interval.

[0041] The soil quality index P3 is compared with the preset soil quality index interval. If the soil quality index P3 is located within the preset soil quality index interval, the soil quality weight value Q3=0 is given. If the soil quality index P3 is not located within the preset soil quality index interval, the soil quality weight value Q3 is the difference between the soil quality index P3 and the adjacent endpoints of the preset soil quality index interval.

[0042] If any one of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 is not zero, the environmental quality score S4 of the target forest is calculated as Q 预设值 - (Q1*Q2*Q3).

[0043] If any one of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 is zero, the environmental quality score S4 of the target forest is calculated as Q 预设值 -2*(Q1+Q2+Q3).

[0044] If any two of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 are zero, the environmental quality score S4 of the target forest is calculated as Q 预设值 - (Q1+Q2+Q3).

[0045] If all of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 are zero, the environmental quality score S4 of the target forest is calculated as Q 预设值 .

[0046] As a further scheme of the present application: the specific process that the evaluation module evaluates the health-care environment of the target forest according to the analysis result is:

[0047] Obtaining an animal call score S1 of the target forest, a plant distribution score S2 of the target forest, a facility service score S3 of the target forest, and an environmental quality score S4 of the target forest;

[0048] Taking the scores S1, S2, S3 and S4 as variables to construct a radar chart, calculating the area of the radar chart and marking it as M;

[0049] Marking a preset area as m, calculating a health-care environment comprehensive score S of the target forest 综合 =100* (M / m);

[0050] Outputting the health-care environment comprehensive score S 综合 as the evaluation result.

[0051] As a further scheme of the present application: the specific process that the early warning notification module sends an early warning notification when the evaluation result is abnormal is:

[0052] If S 综合 ≥60, no early warning is sent;

[0053] If 60>S 综合 ≥40, a first-level early warning is sent;

[0054] If 40>S 综合 ≥20, a second-level early warning is sent;

[0055] If 20>S 综合 , a third-level early warning is sent.

[0056] As a further scheme of the present application: the first-level early warning is sent to the background monitoring personnel in the form of a short message, and the second-level early warning and the third-level early warning are sent to the background monitoring personnel in the form of a telephone call.

[0057] As a further scheme of the present application: further comprising a visual display module for displaying the evaluation result and the early warning notification content.

[0058] Compared with the prior art, the present application has the following beneficial effects:

[0059] 1、The application evaluates and analyzes the forest health environment from four aspects of animal calling data, plant distribution data, facility service data and environmental quality data. In the analysis process of the animal calling data, the collected data is compared with the previous data, and the emotion of the animal is extracted for deep analysis, so that the final forest health environment evaluation and analysis result is more accurate and comprehensive, and the user can find the desired health environment according to the evaluation result. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 It is a structural block diagram of a forest health environment evaluation and analysis system. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0062] As mentioned in the background of the application, research has found that the existing evaluation and analysis system has certain defects for the forest health environment, that is, it pays too much attention to the evaluation of air, water quality and soil of the forest health environment, but ignores the harmonious coexistence between people and animals, especially the animal's calling sound can add natural atmosphere and promote physical and mental health, but the prior art does not put this point into the evaluation and analysis.

[0063] In order to solve the above-mentioned defects, the application discloses a forest health environment evaluation and analysis system, which can put the animal's calling sound into the evaluation and analysis, so that the evaluation and analysis result is more accurate and comprehensive.

[0064] The application will be described in detail below on how to solve the above-mentioned technical problems.

[0065] Please refer to Figure 1In the embodiment of the present application, the forest health care environment evaluation and analysis system comprises an animal calling data acquisition module, a plant distribution data acquisition module, a facility service acquisition module, an environment quality acquisition module, a data receiving module, a data analysis module, a preset data import module, an evaluation module and an early warning notification module. The animal calling data acquisition module is used to collect the calling data of animals in the target forest and send the collected animal calling data to the data receiving module. The plant distribution data acquisition module is used to collect the distribution data of plants in the target forest and send the collected plant distribution data to the data receiving module. The facility service acquisition module is used to collect the running state of facilities in the target forest and the online score of catering and accommodation stores within three kilometers of the target forest, and send the collected data to the data receiving module. The environment quality acquisition module is used to collect air quality indexes, water quality indexes and soil quality indexes in the target forest, and send the collected data to the data receiving module. The data receiving module is used to receive and integrate all the data, and then send the integrated data to the data analysis module. The preset data import module is used to import preset data to the data analysis module. The data analysis module is used to receive and analyze all the transmitted data, and output the analysis results to the evaluation module. The evaluation module is used to evaluate the health care environment of the target forest according to the analysis results, and send the evaluation results to the early warning notification module. The early warning notification module is used to send early warning notifications to the background monitoring personnel when the evaluation results are abnormal. The present application evaluates and analyzes the forest health care environment from four aspects of animal calling data, plant distribution data, facility service data and environment quality data.

[0066] In the embodiment, the specific process of the data analysis module analyzing the data collected by the animal vocalization data collection module is as follows: step one: classify the collected vocalization of all animals on the day according to the animal species, and mark the classified animal vocalization as Ai, i=1···k, wherein k is the number of animal species that emit vocalization on the day, and k is a positive integer; step two: compare and analyze the vocalization Ai of the same animal with the past records to obtain the first weight value corresponding to the vocalization Ai of the same animal, specifically: S201: mark the number of vocalization of the vocalization Ai of the same animal on the day as a0, and mark the total duration of vocalization on the day as b0; S202: collect the number of vocalization and the total duration of vocalization of the vocalization Ai of the same animal in the past three days, and mark the number of vocalization as a1, a2, a3 respectively, and mark the total duration of vocalization as b1, b2, b3 respectively; S203: collect the number of vocalization and the total duration of vocalization of the vocalization Ai of the same animal on the same day in the past three years, and mark the number of vocalization as c1, c2, c3 respectively, and mark the total duration of vocalization as d1, d2, d3 respectively; S204: calculate the first weight value v1 corresponding to the vocalization Ai of the same animal, v1=10%*(a0 / a1)+20%*(a0 / a2)+30%*(a0 / a3)+5%*(a0 / c1)+15%*(a0 / c2)+20%*(a0 / c3)+10%*(b0 / b1)+20%*(b0 / b2)+30%*(b0 / b3)+5%*(b0 / d1)+15%*(b0 / d2)+20%*(b0 / d3); step three: integrate the first weight values corresponding to all vocalization Ai of the same animal to obtain the vocalization distribution comprehensive weight value corresponding to the vocalization of all animals on the day, wherein the vocalization distribution comprehensive weight value is the sum of the first weight values v1 corresponding to all vocalization Ai of the same animal; step four: perform emotion recognition on the vocalization Ai of the same animal to obtain the second weight value corresponding to the vocalization Ai of the same animal, specifically: S401: perform emotion recognition on the vocalization Ai of the same animal through the animal vocalization translator, and plan the vocalization belonging to positive emotion to the first sequence and the vocalization belonging to negative emotion to the second sequence, wherein the positive emotion includes happiness, satisfaction, excitement and play, and the negative emotion includes sadness, loneliness, anger, warning, anxiety, fear and aggressiveness; S402: count the number of vocalization in the first sequence and mark it as e1, and count the number of vocalization in the second sequence and mark it as e2, wherein e1+e2=a0; S403: calculate the second weight value v2 corresponding to the vocalization Ai of the same animal, v2=40%*e1-60%*e2; step five: integrate the second weight values corresponding to all vocalization Ai of the same animal to obtain the vocalization emotion comprehensive weight value corresponding to the vocalization of all animals on the day, wherein the vocalization emotion comprehensive weight value is the sum of the second weight values v2 corresponding to all vocalization Ai of the same animal; and step six: calculate the animal vocalization score of the target forest based on the vocalization distribution comprehensive weight value and the vocalization emotion comprehensive weight value.In the analysis process of the animal calling data, not only the collected data is compared and analyzed with the previous data, but also the emotion of the animal is extracted for in-depth analysis, so as to ensure that the final forest health care environment evaluation analysis result is more accurate and comprehensive, and then the user can find the desired health care environment according to the evaluation result.

[0067] In the embodiment, the specific calculation process of the animal calling score of the target forest is that the calling distribution comprehensive weight value is marked as V1, the calling emotion comprehensive weight value is marked as V2; the preset calling distribution weight value is marked as V3, and the preset calling emotion weight value is marked as V4; the animal calling score S1 of the target forest is calculated as (V1 / V3) + (V2 / V4). The animal calling is an important part of the natural environment, such as the singing of birds and the calling of cicadas, which can create a quiet and natural atmosphere, helping people to relax and enjoy the beauty of nature. In the health care environment, the animal calling can be used as a unique auditory enjoyment to improve the quality of the living environment. The shaping of this sound landscape helps to create a more harmonious and livable health care environment. In addition, positive animal calling can improve the quality of the living environment, and therefore, the animal calling score is calculated from two angles.

[0068] In the embodiment, the specific process in which the data analysis module analyzes the data collected by the plant distribution data collection module is that: the number of all plants within three meters on both sides of the internal road of the target forest is collected and marked as F1, the number of toxic and harmful plants among them is marked as f1, and the number of non-toxic and harmless plants among them is marked as f2, wherein F1=f1+f2; the number of all plant species in the target forest is collected and marked as G1, the number of toxic and harmful plants among them is marked as g1, and the number of non-toxic and harmless plants among them is marked as g2, wherein G1=g1+g2; the preset number of plants within three meters on both sides of the internal road of the target forest is marked as F2, and the preset number of all plant species in the target forest is marked as G2; the plant distribution score S2 of the target forest is calculated as (F1 / F2) + (G1 / G2) + (g1 / g2) + (f1 / f2). The plants within three meters on both sides of the internal road of the target forest can easily affect the users walking in the health care environment, therefore, if there are a large number of toxic and harmful plants in this area, it will seriously affect the health care mood of the users and easily hurt the users, similarly, the more abundant the plant species of the target forest, the higher the score for plant distribution, and the more toxic and harmful plant species in the target forest, the lower the plant distribution score.

[0069] In the embodiment, the specific process of the data analysis module analyzing the data collected by the facility service collection module is as follows: the number of damaged facilities in the target forest is marked as x, and the total number of facilities in the target forest is marked as X; the catering and accommodation stores within three kilometers of the target forest are marked as Yi, i = 1, …, n, n being a positive integer; the online score of the catering and accommodation store Yi is collected and marked as Zi, the average value of all online scores Zi is calculated and marked as Z 平均 ; the facility service score S3 of the target forest is calculated as (x / X)*(Z 平均 / Z 预设 ), wherein Z 预设 is a preset score value. This setting can accurately and effectively obtain the facility service score of the target forest.

[0070] In the embodiment, the specific process of the data analysis module analyzing the data collected by the environment quality collection module is as follows: the collected air quality index of the target forest is marked as P1, the collected water quality index of the target forest is marked as P2, and the collected soil quality index of the target forest is marked as P3; the air quality index P1 is compared with the preset air quality index interval, if the air quality index P1 is within the preset air quality index interval, the air quality weight value Q1 = 0 is assigned, if the air quality index P1 is not within the preset air quality index interval, the air quality weight value Q1 is the difference between the air quality index P1 and the adjacent endpoints of the preset air quality index interval; the water quality index P2 is compared with the preset water quality index interval, if the water quality index P2 is within the preset water quality index interval, the water quality weight value Q2 = 0 is assigned, if the water quality index P2 is not within the preset water quality index interval, the water quality weight value Q2 is the difference between the water quality index P2 and the adjacent endpoints of the preset water quality index interval; the soil quality index P3 is compared with the preset soil quality index interval, if the soil quality index P3 is within the preset soil quality index interval, the soil quality weight value Q3 = 0 is assigned, if the soil quality index P3 is not within the preset soil quality index interval, the soil quality weight value Q3 is the difference between the soil quality index P3 and the adjacent endpoints of the preset soil quality index interval; if any one of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 is not zero, the environment quality score S4 of the target forest is calculated as Q 预设值 -(Q1*Q2*Q3); if any one of the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 is zero, the environment quality score S4 of the target forest is calculated as Q 预设值-2*(Q1+Q2+Q3); if any two of the air quality weight value Q1, the water quality weight value Q2 and the soil quality weight value Q3 are zero, then the environmental quality score S4 of the target forest is calculated as Q 预设值 -(Q1+Q2+Q3); if the air quality weight value Q1, the water quality weight value Q2 and the soil quality weight value Q3 are all zero, then the environmental quality score S4 of the target forest is calculated as Q 预设值 . This setting uses a differentiated calculation method to calculate the environmental quality score of the target forest, making the final environmental quality score of the target forest more accurate.

[0071] In this embodiment, the specific process of the evaluation module evaluating the health-care environment of the target forest according to the analysis result is: obtaining the animal call score S1 of the target forest, the plant distribution score S2 of the target forest, the facility service score S3 of the target forest and the environmental quality score S4 of the target forest; taking the scores S1, S2, S3 and S4 as variables to construct a radar chart, calculating the area of the radar chart and marking it as M; marking the preset area as m, and calculating the comprehensive score S 综合 of the health-care environment of the target forest as 100*(M / m); taking the comprehensive score S 综合 of the health-care environment as the evaluation result output. The radar chart is also called a network chart, a spider chart, a star chart, a spider web chart, an irregular polygon, a polar coordinate chart or a Kiviat chart. It is a visualization tool for presenting multivariate data in a two-dimensional graph, usually starting from the same center point and radiating three or more axes at equal angles, each axis representing a quantitative variable, and the points on each axis are connected in turn to form a line or geometric figure.

[0072] In this embodiment, the specific process of the early warning notification module issuing a warning notification when the evaluation result is abnormal is: if S 综合 ≥ 60, no warning is issued; if 60 > S 综合 ≥ 40, a first-level warning is issued; if 40 > S 综合 ≥ 20, a second-level warning is issued; if 20 > S 综合 , a third-level warning is issued. This setting can effectively issue different levels of warnings according to the evaluation result.

[0073] In this embodiment, the first-level warning is sent to the background monitoring personnel in the form of a short message, and the second-level warning and the third-level warning are sent to the background monitoring personnel in the form of a telephone call.

[0074] In this embodiment, it also includes a visual display module for displaying the evaluation result and the warning notification content.

[0075] The forest health care environment is evaluated and analyzed from four aspects of animal calling data, plant distribution data, facility service data and environment quality data, wherein, in the analysis process of the animal calling data, the collected data is compared and analyzed with previous data, and the emotion of the animal is extracted for deep analysis, so that the finally obtained forest health care environment evaluation and analysis result is more accurate and comprehensive, and then the user can find the desired health care environment according to the evaluation result.

[0076] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

[0077] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can make equivalent replacement or change according to the technical scheme and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A forest health environment evaluation analysis system, characterized in that, The system comprises an animal call data collection module, a plant distribution data collection module, a facility service collection module, an environment quality collection module, a data receiving module, a data analysis module, a preset data import module, an evaluation module, and an early warning notification module. The animal call data collection module is configured to collect animal call data in a target forest and send the collected animal call data to the data receiving module; the plant distribution data collection module is configured to collect plant distribution data in the target forest and send the collected plant distribution data to the data receiving module; the facility service collection module is configured to collect the operating status of facilities in the target forest and the online ratings of catering and accommodation stores within three kilometers of the target forest, and send the collected data to the data receiving module; and the environment quality collection module is configured to collect air quality indicators, water quality indicators, and soil quality indicators in the target forest, and send the collected data to the data receiving module. The data receiving module is configured to receive and integrate all data, and send the integrated data to the data analysis module. The preset data import module is configured to import preset data to the data analysis module; the data analysis module is configured to receive all transmitted data and perform analysis, and output the analysis results to the evaluation module; the evaluation module is configured to evaluate the health-care environment of the target forest according to the analysis results, and send the evaluation results to the early warning notification module; and the early warning notification module is configured to send early warning notifications to background monitoring personnel when the evaluation results are abnormal. The data analysis module analyzes the data collected by the animal call data collection module in the following specific process: Step one: classify the call sounds of all animals collected on the same day according to animal species, and mark the classified animal calls as Ai, i = 1···k, where k is the number of animal species that emit calls on the same day, and k is a positive integer; Step two: compare and analyze the same animal call Ai with the past records to obtain a first weight value corresponding to the same animal call Ai, which is specifically: S201: mark the number of calls of the same animal call Ai on the same day as a0, and mark the total call duration on the same day as b0; S202: collect the number of calls and the total call duration of the same animal call Ai in the past three days, and mark the number of calls as a1, a2, and a3, respectively, and mark the total call duration as b1, b2, and b3, respectively; S203: collect the number of calls and the total call duration of the same animal call Ai on the same day in the past three years, and mark the number of calls as c1, c2, and c3, respectively, and mark the total call duration as d1, d2, and d3, respectively; S204: Calculate the first weight value v1 corresponding to the same animal call Ai = 10% * (a0 / a1) + 20% * (a0 / a2) + 30% * (a0 / a3) + 5% * (a0 / c1) + 15% * (a0 / c2) + 20% * (a0 / c3) + 10% * (b0 / b1) + 20% * (b0 / b2) + 30% * (b0 / b3) + 5% * (b0 / d1) + 15% * (b0 / d2) + 20% * (b0 / d3); Step three: integrate all the first weight values corresponding to the same animal call Ai to obtain the call distribution comprehensive weight value corresponding to the call of all animals in the day, wherein the call distribution comprehensive weight value is the sum of the first weight values v1 corresponding to each same animal call Ai; Step four: emotion recognition of the same animal call Ai to obtain the second weight value corresponding to the same animal call Ai, specifically: S401: emotion recognition of the same animal call Ai through the animal call translator, planning the call belonging to positive emotion to the first sequence, and planning the call belonging to negative emotion to the second sequence, wherein the positive emotion includes happiness, satisfaction, excitement and play, and the negative emotion includes sadness, loneliness, anger, warning, anxiety, fear and aggressiveness; S402: count the number of calls in the first sequence and mark it as e1, count the number of calls in the second sequence and mark it as e2, wherein e1+e2=a0; S403: calculate the second weight value v2 corresponding to the same animal call Ai = 40% *e1-60% *e2; Step five: integrate all the second weight values corresponding to the same animal call Ai to obtain the call emotion comprehensive weight value corresponding to the call of all animals in the day, wherein the call emotion comprehensive weight value is the sum of the second weight values v2 corresponding to each same animal call Ai; Step six: calculate the animal call score of the target forest based on the call distribution comprehensive weight value and the call emotion comprehensive weight value; The specific calculation process of the animal call score of the target forest is: Mark the call distribution comprehensive weight value as V1, and mark the call emotion comprehensive weight value as V2; Mark the preset call distribution weight value as V3, and mark the preset call emotion weight value as V4; Calculate the animal call score S1 of the target forest = (V1 / V3) + (V2 / V4). 2.The forest health environment evaluation and analysis system of claim 1, wherein, The specific process of the data analysis module analyzing the data collected by the plant distribution data collection module is: Collect the number of all plants within three meters on both sides of the internal road of the target forest and mark it as F1, collect the number of toxic and harmful plants among them and mark it as f1, and then collect the number of non-toxic and harmless plants among them and mark it as f2, wherein F1=f1+f2; Collect the number of all plant species in the target forest and mark it as G1, collect the number of toxic and harmful plants among them and mark it as g1, and then collect the number of non-toxic and harmless plants among them and mark it as g2, wherein G1=g1+g2; Mark the preset number of plants within three meters on both sides of the internal road of the target forest as F2, and then mark the preset number of all plant species in the target forest as G2; The plant distribution score S2 of the target forest is calculated as S2=(F1 / F2)+(G1 / G2)+(g1 / g2)+(f1 / f2). 3.The forest health environment evaluation and analysis system of claim 2, wherein, The specific process in which the data analysis module analyzes the data collected by the facility service collection module is as follows: The number of damaged facilities in the target forest is marked as x, and the total number of facilities in the target forest is marked as X; The catering and accommodation stores within three kilometers of the target forest are marked as Yi, i=1···n, n being a positive integer; Collect the online ratings of the catering and lodging store Y and mark it as Z, calculate the average value of all online ratings Z and mark it as Z 平均 ; The facility service score S3 of the target forest is calculated as S3 = (x / X) * (Z 平均 / Z 预设 ), wherein Z 预设 is a preset score value.

4. The forest health environment evaluation and analysis system according to claim 3, wherein, The specific process in which the data analysis module analyzes the data collected by the environmental quality collection module is as follows: The collected air quality index of the target forest is marked as P1, the collected water quality index of the target forest is marked as P2, and the collected soil quality index of the target forest is marked as P3; The air quality index P1 is compared with the preset air quality index interval. If the air quality index P1 is within the preset air quality index interval, the air quality weight value Q1 is assigned as 0. If the air quality index P1 is not within the preset air quality index interval, the air quality weight value Q1 is assigned as the difference between the air quality index P1 and the adjacent endpoints of the preset air quality index interval. The water quality index P2 is compared with the preset water quality index interval. If the water quality index P2 is within the preset water quality index interval, the water quality weight value Q2 is assigned as 0. If the water quality index P2 is not within the preset water quality index interval, the water quality weight value Q2 is assigned as the difference between the water quality index P2 and the adjacent endpoints of the preset water quality index interval. The soil quality index P3 is compared with the preset soil quality index interval. If the soil quality index P3 is within the preset soil quality index interval, the soil quality weight value Q3 is assigned as 0. If the soil quality index P3 is not within the preset soil quality index interval, the soil quality weight value Q3 is assigned as the difference between the soil quality index P3 and the adjacent endpoints of the preset soil quality index interval. If any one of the air quality weight value Q1, the water quality weight value Q2 and the soil quality weight value Q3 is not zero, then the environmental quality score S4 of the target forest is calculated as S4 = Q 预设值 - (Q1*Q2*Q3); If any one of the air quality weight value Q1, the water quality weight value Q2 and the soil quality weight value Q3 is zero, then the environmental quality score S4 of the target forest is calculated as S4 = Q 预设值 -2* (Q1+Q2+Q3); If any two of the air quality weight value Q1, the water quality weight value Q2 and the soil quality weight value Q3 are zero, then the environmental quality score S4 of the target forest is calculated as S4 = Q 预设值 (Q1+Q2+Q3); If the air quality weight value Q1, the water quality weight value Q2, and the soil quality weight value Q3 are all zero, then the environmental quality score S4 of the target forest is calculated as S4 = Q 预设值 .

5. The forest health environment evaluation and analysis system according to claim 4, wherein, The specific process in which the evaluation module evaluates the health-care environment of the target forest according to the analysis results is as follows: The animal call score S1 of the target forest, the plant distribution score S2 of the target forest, the facility service score S3 of the target forest, and the environmental quality score S4 of the target forest are obtained. The radar chart W is constructed with the scores S1, S2, S3, and S4 as variables, the area of the radar chart W is calculated and marked as M. The preset area is marked as m, and the comprehensive score S of the health-care environment of the target forest is calculated 综合 =100* (W / m); The comprehensive score S of the health-care environment is calculated as follows: 综合 The evaluation result is output as follows. 6.The forest health environment evaluation and analysis system of claim 5, wherein, The specific process in which the early warning notification module sends early warning notifications when the evaluation results are abnormal is as follows: If S 综合 ≥ 60, no warning is issued. If 60 > S 综合 ≥ 40, a first level of warning is issued; If 40 > S 综合 ≥ 20, a secondary warning is issued; If 20 > S 综合 then issue a level three alert.

7. The forest health environment evaluation and analysis system according to claim 6, wherein, The first-level early warning is sent to the background monitoring personnel in the form of a short message, and the second-level early warning and the third-level early warning are sent to the background monitoring personnel in the form of a telephone call. 8.The forest health environment evaluation and analysis system of claim 7, wherein, The visualization display module is also included for displaying the evaluation results and the early warning notification content.

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