Park environment monitoring system and method based on Internet of Things technology

Abstract

The invention belongs to the technical field of park supervision, and particularly relates to a park environment monitoring system and method based on the Internet of Things technology, and the system comprises a monitoring point distribution capture module, a distribution performance evaluation module, an Internet of Things perception acquisition module, a parameter comparison analysis module, a park environment management and control decision module and an application display management module. According to the invention, the distribution performance evaluation module evaluates and analyzes the distribution performance of the monitoring points based on the positions of all the monitoring points in the park, and adjusts the monitoring points in the park when generating the distribution alarm signal, thereby achieving the effective monitoring of the environment in the park. Environmental parameter data of each monitoring point in the park are collected and compared, corresponding environmental improvement measures are taken in time, park environment management and control performance is comprehensively analyzed through the park environment management and control decision module, supervision on the park environment is enhanced when a management and control alarm signal is generated, the safety of the park environment is guaranteed, and the safety of the park environment is improved. And the management difficulty of the park environment is obviously reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of park supervision, and specifically to a park environmental monitoring system and method based on Internet of Things technology. Background Art

[0002] With the rapid development of industrialization and urbanization, parks, as important carriers of economic activities, the internal environmental conditions thereof have been increasingly concerned. In a Chinese invention patent with the publication number CN116380236A, a smart park environmental monitoring management method and system are disclosed. The technical solution of this invention generates a noise area coordinate set and a smart park noise point cloud data set by collecting noise data of each regional grid node in the smart park, visually displays the noise areas in the smart park, and realizes noise monitoring within a preset monitoring time period in the smart park;

[0003] However, in the actual application process of the above invention technical solution, it only targets the noise monitoring at several positions in the park, and cannot achieve comprehensive and effective monitoring of the park environment and timely warning. Moreover, it cannot accurately evaluate the rationality of the distribution of monitoring points in the park and the difficulty of park environmental control, which is not conducive to ensuring the safety of the park environment, is difficult to effectively reduce the workload of park environmental management, and has a low level of intelligence;

[0004] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0005] The purpose of the present invention is to provide a park environmental monitoring system and method based on Internet of Things technology, which solves the problems that the prior art cannot achieve comprehensive and effective monitoring of the park environment and timely warning, and cannot accurately evaluate the rationality of the distribution of monitoring points in the park and the difficulty of park environmental control, which is not conducive to ensuring the safety of the park environment, is difficult to effectively reduce the workload of park environmental management, and has a low level of intelligence.

[0006] To achieve the above purpose, the present invention provides the following technical solution:

[0007] A park environmental monitoring system based on Internet of Things technology includes a monitoring point distribution capture module, a distribution performance evaluation module, an Internet of Things perception and collection module, a parameter comparison and analysis module, a park environmental control decision module, and an application display and management module;

[0008] The monitoring point distribution capture module collects the positions of all monitoring points for environmental monitoring in the park and sends the positions of all monitoring points to the distribution performance evaluation module; the distribution performance evaluation module conducts monitoring point distribution performance evaluation and analysis based on the positions of all monitoring points, generates a distribution alarm signal or a distribution reasonable signal through analysis, and sends the distribution alarm signal or the distribution reasonable signal to the application display and management module. When the application display and management module receives the distribution alarm signal, it issues a corresponding warning;

[0009] The Internet of Things perception and acquisition module conducts environmental monitoring through several types of sensors installed at various monitoring points in the park, collects various environmental parameter data, and sends the collected environmental parameter data to the parameter comparison and analysis module;

[0010] The parameter comparison and analysis module determines whether there are environmental parameters that do not meet the corresponding data requirements at each monitoring point through data comparison, marks the environmental parameters that do not meet the corresponding data requirements as red parameters, and sends the red parameters and their corresponding monitoring points to the application display management module and the park environmental control decision-making module; The park environmental control decision-making module comprehensively analyzes the park environmental control performance, generates a control qualified signal or a control alarm signal through analysis, and sends the control qualified signal or the control alarm signal to the application display management module. When the application display management module receives the control alarm signal, it issues a corresponding warning.

[0011] Further, the specific analysis process of the monitoring point distribution performance evaluation and analysis is as follows:

[0012] Obtain the locations of all monitoring points in the park, mark the corresponding monitoring points as t, and t is a natural number greater than 1; Draw a circle with a radius of R1 centered on the location of monitoring point t, and mark the drawn circular area as the radiation area;

[0013] Obtain all the radiation areas in the park, calculate the ratio of the area in the park that is not included in the radiation area to the total area of the park to obtain the radiation detection value, compare the radiation detection value with the preset radiation detection threshold value. If the radiation detection value exceeds the preset radiation detection threshold value, generate a distribution alarm signal.

[0014] Further, if the radiation detection value does not exceed the preset radiation detection threshold value, mark the area where two adjacent radiation areas intersect as the intersection area, sum up all the intersection areas in the park to obtain the intersection area detection value, compare the intersection area detection value with the preset intersection area detection threshold value. If the intersection area detection value exceeds the preset intersection area detection threshold value, generate a distribution alarm signal;

[0015] If the intersection area detection value does not exceed the preset intersection area detection threshold value, compare the intersection area with the preset intersection area threshold value. If the intersection area exceeds the preset intersection area threshold value, mark the corresponding intersection area as the overlapping abnormal area; Obtain the number of overlapping abnormal areas in the park and mark it as the overlapping abnormal detection value. Through numerical calculation of the overlapping abnormal detection value and the intersection area detection value, obtain the distribution preliminary evaluation value, compare the distribution preliminary evaluation value with the preset distribution preliminary evaluation threshold value. If the distribution preliminary evaluation value exceeds the preset distribution preliminary evaluation threshold value, generate a distribution alarm signal.

[0016] Further, if the initial distribution evaluation value does not exceed the preset initial distribution evaluation threshold, several sub-regions are delimited within the park. The number of monitoring points in the corresponding sub-region is marked as the sub-region point measurement value. The variance of the sub-region point measurement values of all sub-regions within the park is calculated to obtain the point distribution fluctuation value. The point distribution fluctuation value is numerically compared with the preset point distribution fluctuation threshold. If the point distribution fluctuation value exceeds the preset point distribution fluctuation threshold, a distribution alarm signal is generated; if the point distribution fluctuation value does not exceed the preset point distribution fluctuation threshold, a distribution reasonable signal is generated.

[0017] Further, the specific analysis process of the park environmental control decision-making module includes:

[0018] Obtain the marking frequency of the red parameter in the corresponding monitoring point during the detection period and mark it as the red marking frequency measurement value. Numerically compare the red marking frequency measurement value with the preset red marking frequency measurement threshold. If the red marking frequency measurement value exceeds the preset red marking frequency measurement threshold, mark the corresponding monitoring point as a strengthened point; obtain the number of strengthened points within the park and calculate the ratio with the total number of monitoring points to obtain the strengthened measurement value. Numerically compare the strengthened measurement value with the preset strengthened measurement threshold. If the strengthened measurement value exceeds the preset strengthened measurement threshold, generate a control alarm signal.

[0019] Further, if the strengthened measurement value does not exceed the preset strengthened measurement threshold, calculate the average value of the red marking frequency measurement values of all monitoring points within the park to obtain the red marking analysis value, mark the red marking frequency measurement value with the largest value as the red marking frequency amplitude value, and divide the detection period into several sub-periods. If the red parameter appears in the corresponding sub-period within the park, mark the corresponding sub-period as a red period. Obtain the ratio of the number of red periods during the detection period and mark it as the red situation value;

[0020] Calculate the control decision value through numerical calculation of the strengthened measurement value, red marking analysis value, red marking frequency amplitude value, and red situation value. Numerically compare the control decision value with the preset control decision threshold. If the control decision value exceeds the preset control decision threshold, generate a control alarm signal.

[0021] Further, if the control decision value does not exceed the preset control decision threshold, collect the marking moment of the corresponding red parameter and the data recovery moment of the corresponding red parameter. Calculate the time difference between the marking moment and the data recovery moment of the corresponding red parameter to obtain the processing value;

[0022] And calculate the average value of all processing values during the detection period to obtain the processing inspection value, and mark the number of processing values that exceed the preset processing threshold during the detection period as the processing anomaly value; calculate the recovery evaluation value through numerical calculation of the processing inspection value and the processing anomaly value. Numerically compare the recovery evaluation value with the preset recovery evaluation threshold. If the recovery evaluation value exceeds the preset recovery evaluation threshold, generate a control alarm signal; if the recovery evaluation value does not exceed the preset recovery evaluation threshold, generate a control qualified signal.

[0023] Further, the distribution performance evaluation module is communicatively connected to the sensor evaluation module. The distribution performance evaluation module sends a reasonable distribution signal to the sensor evaluation module. The sensor evaluation module evaluates the operation quality of all sensors distributed in the park one by one, and accordingly determines whether there are abnormal sensors. If there are abnormal sensors, they are sent to the application display management module.

[0024] Further, the specific analysis process of the sensor evaluation module is as follows:

[0025] Obtain all the acquisition times when the corresponding sensor performs data acquisition. Mark the time interval between two adjacent groups of acquisition times as the acquisition time difference. Compare the acquisition time difference with the corresponding preset acquisition time difference range. If the acquisition time difference is not within the corresponding preset acquisition time difference range, mark the corresponding acquisition time difference as the deviation time difference.

[0026] Obtain the number of deviation time differences corresponding to the corresponding sensor within a unit time and mark it as the deviation detection value. Calculate the difference between the acquisition time difference and the median of the corresponding preset acquisition time difference range and take the absolute value to obtain the acquisition time deviation value. Calculate the average value of all the acquisition time deviation values corresponding to the corresponding sensor within a unit time to obtain the acquisition time deviation table value.

[0027] And obtain the time of the previous inspection and maintenance of the corresponding sensor and mark it as the first time. Mark the time interval between the current time and the first time as the target time. Calculate the sensor abnormality coefficient by numerically calculating the deviation detection value, the acquisition time deviation table value, and the target time. Compare the sensor abnormality coefficient with the corresponding preset sensor abnormality coefficient threshold. If the sensor abnormality coefficient exceeds the corresponding preset sensor abnormality coefficient threshold, mark the corresponding sensor as an abnormal sensor.

[0028] Further, the present invention also proposes a park environment monitoring method based on the Internet of Things technology, including the following steps:

[0029] Step 1: Perform environmental monitoring through several types of sensors installed at each monitoring point in the park.

[0030] Step 2: Collect environmental parameter data of all monitoring points in the park.

[0031] Step 3: Determine whether there are environmental parameters that do not meet the corresponding data requirements at each monitoring point through data comparison, and mark the environmental parameters that do not meet the corresponding data requirements as red parameters.

[0032] Step 4: Comprehensively analyze the park environment control performance and issue a corresponding warning when generating a control alarm signal.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0034] 1. In the present invention, the distribution performance evaluation module evaluates and analyzes the distribution performance of monitoring points based on the positions of all monitoring points in the park. When generating a distribution alarm signal, the monitoring points in the park are adjusted to achieve effective monitoring of the environment in the park. By collecting and comparing the environmental parameter data of each monitoring point in the park, corresponding environmental improvement measures can be taken in a timely manner. Moreover, the park environmental control decision-making module comprehensively analyzes the park environmental control performance, and strengthens the supervision of the park environment when generating a control alarm signal to ensure the environmental safety of the park and significantly reduce the management difficulty of the park environment;

[0035] 2. In the present invention, the distribution performance evaluation module sends a reasonable distribution signal to the sensor evaluation module. When the sensor evaluation module receives the reasonable distribution signal, it evaluates the operation quality of all sensors distributed in the park one by one, thereby determining whether there are abnormal sensors, so as to remind the management personnel to check, repair or replace the corresponding abnormal sensors in a timely manner, ensure the safe and effective operation of each sensor distributed in the park, and ensure the monitoring accuracy and timeliness of the park environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0037] Figure 1 It is the system block diagram of the first embodiment in the present invention;

[0038] Figure 2 It is the system block diagram of the second embodiment in the present invention;

[0039] Figure 3 It is the method flow chart of the third embodiment in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0041] Embodiment 1: As Figure 1As shown in the figure, the park environmental monitoring system proposed by the present invention based on Internet of Things technology includes a monitoring point distribution capture module, a distribution performance evaluation module, an Internet of Things perception and acquisition module, a parameter comparison and analysis module, a park environmental control decision module, and an application display and management module; the monitoring point distribution capture module collects the positions of all monitoring points for environmental monitoring in the park and sends the positions of all monitoring points to the distribution performance evaluation module;

[0042] The distribution performance evaluation module conducts distribution performance evaluation and analysis based on the positions of all monitoring points, generates a distribution alarm signal or a distribution reasonable signal through analysis, and sends the distribution alarm signal or the distribution reasonable signal to the application display and management module. When the application display and management module receives the distribution alarm signal, it issues a corresponding warning to remind the administrator to adjust the monitoring points in the park, so as to achieve effective monitoring of the environment in the park; the specific analysis process of the distribution performance evaluation and analysis is as follows:

[0043] Obtain the positions of all monitoring points in the park, mark the corresponding monitoring points as t, and t is a natural number greater than 1; draw a circle with a radius of R1 centered on the position of the monitoring point t, and mark the drawn circular area as the radiation area; it should be noted that the value of R1 is set and stored in advance by the management personnel. Preferably, R1 is three meters;

[0044] Obtain all the radiation areas in the park, calculate the ratio of the area in the park that is not included in the radiation area to the total area of the park to obtain the radiation detection value, compare the radiation detection value with the preset radiation detection threshold. If the radiation detection value exceeds the preset radiation detection threshold, it indicates that the monitoring coverage of the park environment does not meet the requirements, and a distribution alarm signal is generated;

[0045] If the radiation detection value does not exceed the preset radiation detection threshold, it indicates that the monitoring coverage of the park environment meets the requirements. Then, mark the area where two adjacent radiation areas intersect as the intersection area, sum up all the intersection areas in the park to obtain the intersection area detection value, compare the intersection area detection value with the preset intersection area detection threshold. If the intersection area detection value exceeds the preset intersection area detection threshold, it indicates that the distribution of monitoring points in the park is unreasonable and there are many overly intersecting monitoring points, and a distribution alarm signal is generated;

[0046] If the cross - area inspection value does not exceed the preset cross - area inspection threshold, then the cross - area is numerically compared with the preset cross - area threshold. If the cross - area exceeds the preset cross - area threshold, then the corresponding cross - area is marked as a coincidence anomaly area; the number of coincidence anomaly areas in the park is obtained and marked as the coincidence inspection value. The coincidence inspection value ZY and the cross - area inspection value TW are numerically calculated through the formula GX = wq×ZY + tu×TW to obtain the initial distribution evaluation value GX, where wq and tu are preset proportionality coefficients greater than zero. Moreover, the larger the value of the initial distribution evaluation value GX, the more unreasonable the distribution of the monitoring points in the park; the initial distribution evaluation value GX is numerically compared with the preset initial distribution evaluation threshold. If the initial distribution evaluation value GX exceeds the preset initial distribution evaluation threshold, indicating that the distribution of the monitoring points in the park is unreasonable, then a distribution alarm signal is generated;

[0047] If the initial distribution evaluation value GX does not exceed the preset initial distribution evaluation threshold, then several sub - areas are delimited in the park. The number of monitoring points in the corresponding sub - areas is marked as the sub - area point measurement value. The variance of the sub - area point measurement values of all sub - areas in the park is calculated to obtain the point distribution fluctuation value. The point distribution fluctuation value is numerically compared with the preset point distribution fluctuation threshold. If the point distribution fluctuation value exceeds the preset point distribution fluctuation threshold, indicating that the distribution of the monitoring points in the park is uneven, then a distribution alarm signal is generated; if the point distribution fluctuation value does not exceed the preset point distribution fluctuation threshold, indicating that the distribution of the monitoring points in the park is relatively uniform, then a distribution reasonable signal is generated.

[0048] The Internet of Things perception and acquisition module conducts environmental monitoring through several types of sensors (such as temperature sensors, humidity sensors, smoke sensors, noise sensors, etc.) installed at each monitoring point in the park, collects various environmental parameter data, and sends the collected environmental parameter data to the parameter comparison and analysis module; among them, these sensors realize the real - time transmission of data through the Internet of Things technology;

[0049] The parameter comparison and analysis module determines whether there are environmental parameters that do not meet the corresponding data requirements at each monitoring point through data comparison, marks the environmental parameters that do not meet the corresponding data requirements as red parameters, and sends the red parameters and their corresponding monitoring points to the application display and management module and the park environmental control decision - making module; the application display and management module realizes functions such as visual display and alarm prompt of the park environmental monitoring. Managers can view the environmental conditions in the park in real time through the application interface, receive abnormal alarm information, and take corresponding environmental improvement measures in a timely manner.

[0050] The park environmental control decision-making module comprehensively analyzes the performance of park environmental control, generates a control qualified signal or a control alarm signal through the analysis, and sends the control qualified signal or the control alarm signal to the application display management module. When the application display management module receives the control alarm signal, it issues a corresponding warning to remind the administrator to strengthen the supervision of the park environment, ensure the safety of the park environment, and reduce the management difficulty of the park. The specific analysis process of the park environmental control decision-making module is as follows:

[0051] Obtain the marked frequency of the red parameters at the corresponding monitoring points during the detection period and mark it as the red marked frequency measurement value. Compare the red marked frequency measurement value with the preset red marked frequency measurement threshold. If the red marked frequency measurement value exceeds the preset red marked frequency measurement threshold, mark the corresponding monitoring point as a strengthening point. Obtain the number of strengthening points in the park and calculate the ratio with the total number of monitoring points to obtain the strong measurement value. Compare the strong measurement value with the preset strong measurement threshold. If the strong measurement value exceeds the preset strong measurement threshold, indicating that the management difficulty of the park environment is relatively large, generate a control alarm signal;

[0052] If the strong measurement value does not exceed the preset strong measurement threshold, calculate the average value of the red marked frequency measurement values of all monitoring points in the park to obtain the red mark analysis value, and mark the red marked frequency measurement value with the largest value as the red marked frequency amplitude value. Divide the detection period into several sub-periods. If the red parameters appear in the corresponding sub-period, mark the corresponding sub-period as a red period. Obtain the ratio of the number of red periods in the detection period and mark it as the red situation value;

[0053] Perform numerical calculation on the strong measurement value XL, the red mark analysis value HY, the red marked frequency amplitude value FM, and the red situation value SP through the formula QP = k1×XL + k2×HY + k3×FM + k4×SP to obtain the control decision value QP. Among them, k1, k2, k3, and k4 are preset proportionality coefficients greater than zero. Moreover, the larger the value of the control decision value QP, the greater the control difficulty of the park environment during the detection period. Compare the control decision value QP with the preset control decision threshold. If the control decision value QP exceeds the preset control decision threshold, indicating that the management difficulty of the park environment is relatively large, generate a control alarm signal.

[0054] Furthermore, if the control decision value QP does not exceed the preset control decision threshold, collect the marking moment of the corresponding red parameter and the data recovery moment of the corresponding red parameter, and calculate the time difference between the marking moment and the data recovery moment of the corresponding red parameter to obtain the processing value. Among them, the larger the value of the processing value, the slower the response to the corresponding red parameter;

[0055] And all the processed values ​​in the detection period are averaged to obtain the treatment inspection value, and the number of processed values ​​exceeding the preset processing threshold in the detection period is marked as the treatment outlier value; the treatment inspection value PX and the treatment outlier value SF are numerically calculated by the formula HN=uy×PX+mu×SF to obtain the recovery evaluation value HN, wherein uy and mu are preset proportional coefficients with values ​​greater than zero, and the larger the value of the recovery evaluation value HN, the worse the response performance to the environment in the park;

[0056] The recovery assessment value HN is numerically compared with the preset recovery assessment threshold. If the recovery assessment value HN exceeds the preset recovery assessment threshold, it indicates that the response performance to the environment within the park is poor and the park environment management needs to be strengthened, then a control alarm signal is generated; if the recovery assessment value HN does not exceed the preset recovery assessment threshold, it indicates that the management difficulty of the park environment is relatively small overall, then a control qualified signal is generated.

[0057] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the distribution performance evaluation module is connected to the sensor evaluation module in communication, and the distribution performance evaluation module sends the reasonable distribution signal to the sensor evaluation module. When the sensor evaluation module receives the reasonable distribution signal, it evaluates the operation quality of all sensors distributed in the park one by one, and judges whether there are abnormal sensors. If there are abnormal sensors, they are sent to the application display management module to remind the management personnel to check, repair or replace the corresponding abnormal sensors in time, so as to ensure the safe and effective operation of each sensor distributed in the park and ensure the monitoring accuracy and timeliness of the park environment. The specific analysis process of the sensor evaluation module is as follows:

[0058] Obtain all the collection moments of the corresponding sensor for data collection, and mark the interval between two adjacent groups of collection moments as the collection time difference; wherein, the larger the value of the collection time difference, the less the collection interval length meets the requirements; compare the collection time difference with the corresponding preset collection time difference range, and if the collection time difference is not within the corresponding preset collection time difference range, mark the corresponding collection time difference as a biased time difference;

[0059] The number of storage deviation time differences corresponding to the corresponding sensor in unit time is obtained and marked as the storage deviation detection value, and the difference between the acquisition time difference and the median of the corresponding preset acquisition time difference range is calculated and the absolute value is taken to obtain the acquisition time deviation value, and the average of all the acquisition time deviation values ​​corresponding to the corresponding sensor in unit time is calculated to obtain the acquisition time deviation table value;

[0060] The time when the corresponding sensor was inspected and maintained is collected and marked as the first time, and the interval between the current time and the first time is marked as the target time;

[0061] The deviation detection value YX, the acquisition time deviation table value WR, and the target duration XW are numerically calculated through the formula RY = eq × YX + tn × WR + se × XW to obtain the sensor anomaly coefficient RY, where eq, tn, and se are preset proportionality coefficients with values greater than zero. Moreover, the larger the value of the sensor anomaly coefficient RY, the more difficult it is to ensure the stable operation of the corresponding sensor.

[0062] The sensor anomaly coefficient RY is numerically compared with the corresponding preset sensor anomaly coefficient threshold. If the sensor anomaly coefficient RY exceeds the corresponding preset sensor anomaly coefficient threshold, it indicates that the stable operation of the corresponding sensor is difficult to guarantee and needs to be inspected and repaired in a timely manner. Then, the corresponding sensor is marked as an abnormal sensor.

[0063] Embodiment 3: As Figure 3 shown, the difference between this embodiment and Embodiment 1 and Embodiment 2 is that the proposed park environment monitoring method based on Internet of Things technology includes the following steps:

[0064] Step 1: Conduct environmental monitoring through several types of sensors installed at each monitoring point in the park;

[0065] Step 2: Collect various environmental parameter data of all monitoring points in the park;

[0066] Step 3: Determine whether there are environmental parameters that do not meet the corresponding data requirements at each monitoring point through data comparison, and mark the environmental parameters that do not meet the corresponding data requirements as red parameters;

[0067] Step 4: Comprehensively analyze the park environment control performance and issue corresponding warnings when generating control alarm signals.

[0068] The working principle of the present invention: When in use, the distribution performance evaluation module evaluates and analyzes the distribution performance of monitoring points based on the positions of all monitoring points in the park, adjusts the monitoring points in the park when generating distribution alarm signals, realizes effective monitoring of the park environment, and the Internet of Things perception and acquisition module collects the environmental parameter data of each monitoring point in the park. The parameter comparison and analysis module determines whether there are environmental parameters that do not meet the corresponding data requirements at each monitoring point through data comparison, facilitating timely implementation of corresponding environmental improvement measures. In addition, the park environment control decision-making module comprehensively analyzes the park environment control performance and strengthens the supervision of the park environment when generating control alarm signals, ensuring the safety of the park environment, significantly reducing the management difficulty of the park environment, and having a high level of intelligence.

[0069] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The park environment monitoring system based on Internet of Things technology is characterized by: It includes a monitoring point distribution capture module, a distribution performance evaluation module, an Internet of Things perception collection module, a parameter comparison and analysis module, a park environment control decision module and an application display management module; the monitoring point distribution capture module collects the locations of all monitoring points for environmental monitoring in the park, the distribution performance evaluation module performs monitoring point distribution performance evaluation and analysis based on the locations of all monitoring points, and generates distribution alarm signals or distribution rationality signals through analysis, and the application display management module issues corresponding warnings when receiving distribution alarm signals; The IoT perception and collection module conducts environmental monitoring through several sensors installed at various monitoring points in the park, and sends the collected environmental parameter data to the parameter comparison and analysis module; the parameter comparison and analysis module determines whether there are environmental parameters at each monitoring point that do not meet the corresponding data requirements through data comparison, and marks the environmental parameters that do not meet the corresponding data requirements as red parameters; the park environment control decision-making module conducts a comprehensive analysis of the park environment control performance, and generates a control qualification signal or a control alarm signal through analysis. When the application display management module receives the control alarm signal, it will issue a corresponding warning.

2. The park environment monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The specific analysis process of the monitoring point distribution performance evaluation analysis is as follows: obtain the positions of all monitoring points in the park, mark the corresponding monitoring points as t, and t is a natural number greater than 1; draw a circle with a radius of R1 with the position of the monitoring point t as the center, and mark the drawn circular area as the radiation area; calculate the ratio of the area in the park that is not included in the radiation area to the total area of ​​the park to obtain the radiation detection value. If the radiation detection value exceeds the preset radiation detection threshold, a distribution alarm signal is generated.

3. The park environment monitoring system based on Internet of Things technology according to claim 2 is characterized in that: If the radiation detection value does not exceed the preset radiation detection threshold, the area where two adjacent radiation areas intersect is marked as the intersection area, and all intersection areas in the park are summed up to obtain the intersection area detection value. If the intersection area detection value exceeds the preset intersection area detection threshold, a distribution alarm signal is generated; If the cross-zone detection value does not exceed the preset cross-zone detection threshold, the distribution preliminary evaluation value is obtained by numerically calculating the overlapping detection value and the cross-zone detection value. If the distribution preliminary evaluation value exceeds the preset distribution preliminary evaluation threshold, a distribution alarm signal is generated.

4. The park environment monitoring system based on Internet of Things technology according to claim 3 is characterized in that: If the initial distribution evaluation value does not exceed the preset initial distribution evaluation threshold, the variance of the sub-area point measurement values ​​of all sub-areas in the park will be calculated to obtain the point distribution fluctuation value. If the point distribution fluctuation value exceeds the preset point distribution fluctuation threshold, a distribution alarm signal is generated; otherwise, a reasonable distribution signal is generated.

5. The park environment monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The specific analysis process of the park environment control decision module includes: The number of reinforced points in the park is obtained and the ratio is calculated with the total number of monitoring points to obtain the strong measurement value. If the strong measurement value exceeds the preset strong measurement threshold, a control alarm signal is generated.

6. The park environment monitoring system based on Internet of Things technology according to claim 5 is characterized in that: If the strong measurement value does not exceed the preset strong measurement threshold, the control decision value will be obtained by numerically calculating the strong measurement value, red label analysis value, red label frequency amplitude value and red time condition value. If the control decision value exceeds the preset control decision threshold, a control alarm signal will be generated.

7. The park environment monitoring system based on Internet of Things technology according to claim 6 is characterized in that: If the control decision value does not exceed the preset control decision threshold, a recovery evaluation value is obtained by numerically calculating the treatment inspection value and the treatment outlier value. If the recovery evaluation value exceeds the preset recovery evaluation threshold, a control alarm signal is generated; If the recovery assessment value does not exceed the preset recovery assessment threshold, a control qualification signal is generated.

8. The park environment monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The distribution performance evaluation module is communicated with the sensor evaluation module. The sensor evaluation module evaluates the operating quality of all sensors distributed in the park one by one, and determines whether there are abnormal sensors. If there are abnormal sensors, they are sent to the application display management module.

9. The park environment monitoring system based on Internet of Things technology according to claim 8 is characterized in that: The specific analysis process of the sensor evaluation module is as follows: The sensor abnormality coefficient is obtained by numerically calculating the stored deviation check value, the sampling time deviation table value and the target duration. If the sensor abnormality coefficient exceeds the corresponding preset sensor abnormality coefficient threshold, the corresponding sensor is marked as an abnormal sensor.

10. A park environment monitoring method based on Internet of Things technology, characterized in that: The following steps are involved: Step 1: Park environment monitoring; Step 2: Collect park environmental parameter data; Step 3: perform parameter data comparison to identify red parameters; Step 4: Conduct a comprehensive analysis of the park’s environmental management and control performance, and issue an early warning when a management and control alarm signal is generated.

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