Data collection method and system for garden greening management

Abstract

The application relates to the technical field of data processing, in particular to a data collection method and system for garden greening management. The method comprises the following steps: acquiring a change amplitude of monitoring data of a garden greening monitoring device; acquiring a data collection mode influence degree of the garden greening monitoring device according to the change amplitude of the monitoring data; acquiring a performance degree of a human intervention condition of a greening area to which the garden greening monitoring device belongs according to the data collection mode influence degree of the garden greening monitoring device; acquiring a regional monitoring real-time coefficient of the greening area according to the performance degree of the human intervention condition; and adjusting a collection frequency of the monitoring data of the garden greening monitoring device according to the regional monitoring real-time coefficient of the greening area. The embodiment of the application can dynamically adjust the data collection frequency of the garden greening monitoring device according to the ecological condition of the garden greening area, so that the data monitoring of the key area is more detailed and effective, the reasonable allocation of management resources is ensured, and the overall management efficiency is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of data processing, and particularly relates to a data collection method and system for garden greening management. BACKGROUND

[0002] The existing garden greening management mainly relies on traditional inspection methods and multi-type data collection realized by combining Internet of Things devices and artificial intelligence technology. Traditional garden greening management mainly relies on manual inspection and experience judgment, and has problems such as data fragmentation and response lag. With the development of Internet of Things (IoT), remote sensing and artificial intelligence technology, modern garden management has the possibility of realizing multi-source data fusion and intelligent upgrading. The current mainstream technologies include: real-time monitoring of soil moisture and meteorological parameters based on LoRa / NB-IoT sensor network, unmanned aerial vehicle aerial photography combined with deep learning algorithm to identify vegetation health status, GIS platform integrating spatial data to generate a map of greening resources, and mobile terminal App to realize maintenance work order closed-loop management. These technologies realize the full-link automation of data collection-analysis-decision through cloud-edge collaborative architecture.

[0003] However, the existing data collection method for garden greening management often has the characteristics of single and fixed data collection method, lack of real-time characteristic adjustment for garden greening areas, which cannot accurately reflect the ecological conditions of each area of the garden, and reduces the overall management efficiency of the garden greening. SUMMARY

[0004] In order to solve the above problems, the embodiment of the application provides a data collection method and system for garden greening management.

[0005] According to a first aspect of the embodiment of the application, a data collection method for garden greening management is provided, and the method comprises:

[0006] obtaining a change amplitude of monitoring data of a garden greening monitoring device;

[0007] According to the change amplitude of the monitoring data, a data collection method influence degree of the garden greening monitoring device is obtained, and the data collection method influence degree represents the influence degree of the monitoring data on the accuracy of garden greening condition judgment;

[0008] According to the data collection method influence degree of the garden greening monitoring device, a performance degree of human intervention condition of a greening area to which the garden greening monitoring device belongs is obtained;

[0009] According to the performance degree of the human intervention condition, a regional monitoring real-time coefficient of the greening area is obtained;

[0010] Based on the regional monitoring real-time coefficient of the green area, the data collection frequency of the garden greening monitoring equipment is adjusted.

[0011] In one embodiment, acquiring the change range of monitoring data from the landscaping monitoring equipment includes:

[0012] Obtain the absolute value of the difference between the monitoring data at any two adjacent monitoring times of the landscape greening monitoring equipment;

[0013] The absolute value of the difference in the monitoring data is obtained as the maximum value within the monitoring cycle of the landscaping monitoring equipment.

[0014] The variation range of the monitoring data of the landscaping monitoring equipment is obtained based on the absolute value of the difference between the monitoring data and the maximum value.

[0015] In one implementation, obtaining the impact of the data acquisition method of the landscaping monitoring equipment based on the change range of the monitoring data includes:

[0016] Obtain the data acquisition frequency of the monitoring equipment for the landscaping monitoring;

[0017] Obtain the number of sampling times within the monitoring data acquisition cycle of the aforementioned landscaping monitoring equipment;

[0018] The impact of the data acquisition method of the landscaping monitoring equipment is obtained based on the magnitude of change in the monitoring data, the frequency of data collection, and the number of sampling times.

[0019] In one embodiment, obtaining the performance degree of human intervention in the green area to which the greening monitoring equipment belongs, based on the data acquisition method influence degree of the greening monitoring equipment, includes:

[0020] Obtain a first data sequence consisting of the impact data of the data acquisition method of the garden greening monitoring equipment under different monitoring data acquisition cycles;

[0021] Obtain a second data sequence consisting of pedestrian flow data for the green area to which the garden greening monitoring equipment belongs under different monitoring data collection periods;

[0022] Based on the first data sequence and the second data sequence, the performance of human intervention in the green area to which the garden greening monitoring equipment belongs is obtained.

[0023] In one implementation, obtaining the degree of human intervention in the green area to which the landscaping monitoring equipment belongs, based on the first data sequence and the second data sequence, includes:

[0024] obtaining the data acquisition mode influence degree of any monitoring data acquisition period in the first data sequence;

[0025] obtaining the passenger flow data of the any monitoring data acquisition period in the second data sequence;

[0026] obtaining the total number of the monitoring data acquisition periods;

[0027] obtaining the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs according to the data acquisition mode influence degree of any monitoring data acquisition period in the first data sequence, the passenger flow data, and the total number of the monitoring data acquisition periods.

[0028] In an embodiment, the obtaining the area monitoring real-time coefficient of the green area according to the performance degree of the human intervention condition comprises:

[0029] obtaining the difference between the performance degrees of the human intervention conditions of the green area to which the garden greening monitoring device belongs and the adjacent green area;

[0030] obtaining the first instantaneous change rate average of the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs;

[0031] obtaining the second instantaneous change rate average of the performance degree of the human intervention condition of the adjacent green area of the green area to which the garden greening monitoring device belongs;

[0032] obtaining the number of monitoring data points of the adjacent green area of the green area to which the garden greening monitoring device belongs;

[0033] obtaining the area monitoring real-time coefficient of the green area according to the difference between the performance degrees of the human intervention conditions, the first instantaneous change rate average, the second instantaneous change rate average, and the number of monitoring data points.

[0034] In an embodiment, the adjusting the acquisition frequency of the monitoring data of the garden greening monitoring device according to the area monitoring real-time coefficient of the green area comprises:

[0035] adjusting the acquisition frequency of the monitoring data of the garden greening monitoring device by taking the area monitoring real-time coefficient of the green area as the confidence weight of the acquisition frequency of the monitoring data of the garden greening monitoring device.

[0036] In an embodiment, the method further comprises:

[0037] evaluating the effectiveness of the garden greening monitoring data collected according to the acquisition frequency adjusted according to the confidence weight to obtain a monitoring data effectiveness evaluation value.

[0038] adjust the collection frequency of the monitoring data of the garden greening monitoring device according to the monitoring data validity evaluation value.

[0039] In an embodiment, the adjusting the collection frequency of the monitoring data of the garden greening monitoring device according to the monitoring data validity evaluation value comprises:

[0040] increasing the collection frequency of the monitoring data of the garden greening monitoring device when the monitoring data validity evaluation value is less than a preset threshold value;

[0041] maintaining the collection frequency of the monitoring data of the garden greening monitoring device unchanged when the monitoring data validity evaluation value is greater than or equal to the preset threshold value.

[0042] According to a second aspect of the embodiments of the present application, a data collection system for garden greening management is provided, and the system comprises a monitoring platform, and the monitoring platform comprises:

[0043] a memory having a computer program stored thereon;

[0044] a processor configured to execute the computer program in the memory to implement the steps of the method according to any one of the first aspect.

[0045] The embodiments of the present application have the following beneficial effects: The embodiments of the present application provide a data collection method for garden greening management, which comprises: obtaining a change amplitude of monitoring data of a garden greening monitoring device; obtaining a data collection mode influence degree of the garden greening monitoring device according to the change amplitude of the monitoring data, the data collection mode influence degree representing an influence degree of the monitoring data on the accuracy of the judgment of the garden greening condition; obtaining a performance degree of a human intervention condition of a greening area to which the garden greening monitoring device belongs according to the data collection mode influence degree of the garden greening monitoring device; obtaining a regional monitoring real-time coefficient of the greening area according to the performance degree of the human intervention condition; and adjusting the collection frequency of the monitoring data of the garden greening monitoring device according to the regional monitoring real-time coefficient of the greening area. The embodiments of the present application can dynamically adjust the data collection frequency of the garden greening monitoring device according to the ecological condition of the garden greening area, so as to make the data monitoring of the key area more detailed and effective, ensure the reasonable allocation of management resources, and further improve the overall management efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced below, and it should be understood that the drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of the drawings.

[0047] Figure 1 is a flowchart of a data collection method for garden greening management according to an exemplary embodiment;

[0048] Figure 2 is a flowchart of a method for obtaining a change amplitude of monitoring data of a garden greening monitoring device according to an exemplary embodiment;

[0049] Figure 3 is a flowchart of a method for obtaining a data collection method influence degree of a garden greening monitoring device according to a change amplitude of monitoring data according to an exemplary embodiment;

[0050] Figure 4 is a flowchart of a method for obtaining a performance degree of human intervention in a greening area to which a garden greening monitoring device belongs according to a data collection method influence degree of the garden greening monitoring device according to an exemplary embodiment;

[0051] Figure 5 is a flowchart of a method for obtaining a performance degree of human intervention in a greening area to which a garden greening monitoring device belongs according to a first data sequence and a second data sequence according to an exemplary embodiment;

[0052] Figure 6 is a flowchart of a method for obtaining a regional monitoring real-time coefficient of a greening area according to a performance degree of human intervention according to an exemplary embodiment;

[0053] Figure 7 is a flowchart of a method for adjusting a collection frequency of monitoring data of a garden greening monitoring device according to a regional monitoring real-time coefficient of a greening area according to an exemplary embodiment;

[0054] Figure 8 is a flowchart of another data collection method for garden greening management according to an exemplary embodiment;

[0055] Figure 9 is a flowchart of a method for adjusting a collection frequency of monitoring data of a garden greening monitoring device according to a monitoring data validity evaluation value according to an exemplary embodiment;

[0056] Figure 10is a block diagram of a data collection system for garden greening management according to an exemplary embodiment;

[0057] Figure 11 is a block diagram of a monitoring platform according to an exemplary embodiment. DETAILED DESCRIPTION

[0058] To clearly illustrate the technical features of the scheme, the following will be described in detail through specific implementation manners and in conjunction with the drawings.

[0059] Embodiments of the present application will be described below in greater detail with reference to the drawings. Although some embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms, and should not be interpreted as being limited to the embodiments set forth herein, but rather these embodiments are provided to more thoroughly and completely understand the present application. It should be understood that the drawings and embodiments of the present application are for exemplary purposes only, and are not intended to limit the scope of protection of the present application.

[0060] It should be understood that each of the steps recited in the method embodiments of the present application can be executed in different orders and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the execution of the steps shown. The scope of the present application is not limited in this respect.

[0061] The term "comprising" and variations thereof as used herein are open-ended, that is, "comprising but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Related definitions will be given in the description below.

[0062] It should be noted that the concepts of "first", "second", etc. mentioned in the present application are only used to distinguish different devices, modules or units, and are not intended to limit the order or interdependence of the functions performed by these devices, modules or units.

[0063] It should be noted that the modification of "one", "multiple" mentioned in the present application is illustrative but not restrictive, and those skilled in the art should understand that "one" or "multiple" should be understood as "one or more" unless otherwise explicitly indicated in the context. In the description of the present application, "multiple" refers to two or more than two, and other quantifiers are similar; "at least one", "one or more" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, at least one a can represent any number of a; for example, one or more of a, b and c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple; "and / or" is a description of the association between the associated objects, which means that there can be three relationships, for example, A and / or B can represent: A alone, A and B together, B alone, and A, B can be singular or plural.

[0064] Although the operations or steps are described in a specific order in the accompanying drawings in the embodiments of the present application, it should not be understood as requiring the specific order or serial order shown, or requiring all the shown operations or steps to obtain the desired results. In the embodiments of the present application, the operations or steps can be executed in series; the operations or steps can be executed in parallel; or a part of the operations or steps can be executed.

[0065] At the same time, it can be understood that the data involved in the technical solution (including but not limited to data itself, data acquisition or use) should comply with the requirements of relevant laws, regulations and relevant provisions. The present application will be described below in conjunction with specific embodiments.

[0066] Figure 1 is a flow chart of a data collection method for garden greening management according to an exemplary embodiment. As shown in Figure 1 The embodiment of the present application provides a data collection method for garden greening management, which can include the following steps:

[0067] In step S10, the change amplitude of the monitoring data of the garden greening monitoring device is obtained.

[0068] In this step, the change amplitude of the monitoring data of the garden greening monitoring device is obtained. For example, the absolute value of the difference of the monitoring data of any two adjacent monitoring moments of the garden greening monitoring device can be obtained first, then the maximum value of the absolute value of the difference of the monitoring data in the monitoring period of the garden greening monitoring device is obtained, and then the change amplitude of the monitoring data of the garden greening monitoring device is obtained according to the absolute value of the difference of the monitoring data and the maximum value.

[0069] In step S20, according to the change range of the monitoring data, the data acquisition mode influence degree of the garden greening monitoring device is obtained, and the data acquisition mode influence degree represents the influence degree of the monitoring data on the accuracy of the garden greening condition judgment.

[0070] In this step, according to the change range of the monitoring data, the data acquisition mode influence degree of the garden greening monitoring device is obtained, and the data acquisition mode influence degree represents the influence degree of the monitoring data on the accuracy of the garden greening condition judgment. For example, the acquisition frequency of the monitoring data of the garden greening monitoring device is obtained first, then the number of sampling time points in the monitoring data acquisition period of the garden greening monitoring device is obtained, and then the data acquisition mode influence degree of the garden greening monitoring device is obtained according to the change range of the monitoring data, the acquisition frequency of the monitoring data, and the number of sampling time points.

[0071] In step S30, according to the data acquisition mode influence degree of the garden greening monitoring device, the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained.

[0072] In this step, according to the data acquisition mode influence degree of the garden greening monitoring device, the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained. For example, a first data sequence composed of data acquisition mode influence degree data of the garden greening monitoring device under different monitoring data acquisition periods is obtained first, then a second data sequence composed of people flow data of the green area to which the garden greening monitoring device belongs under different monitoring data acquisition periods is obtained, and then the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained according to the first data sequence and the second data sequence.

[0073] In step S40, according to the performance degree of the human intervention condition, the area monitoring real-time coefficient of the green area is obtained.

[0074] In this step, the regional monitoring real-time coefficient of the green area is obtained according to the performance degree of the human intervention condition. For example, first, the difference between the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs and the performance degree of the human intervention condition of the adjacent green area is obtained, then the first instantaneous change rate average of the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained, then the second instantaneous change rate average of the performance degree of the human intervention condition of the adjacent green area of the green area to which the garden greening monitoring device belongs is obtained, then the number of monitoring data points of the adjacent green area of the green area to which the garden greening monitoring device belongs is obtained, and finally, the regional monitoring real-time coefficient of the green area is obtained according to the difference between the performance degree of the human intervention condition, the first instantaneous change rate average, the second instantaneous change rate average, and the number of monitoring data points.

[0075] In step S50, the collection frequency of the monitoring data of the garden greening monitoring device is adjusted according to the regional monitoring real-time coefficient of the green area.

[0076] In this step, the collection frequency of the monitoring data of the garden greening monitoring device is adjusted according to the regional monitoring real-time coefficient of the green area. For example, the regional monitoring real-time coefficient of the green area can be used as a confidence weight of the collection frequency of the monitoring data of the garden greening monitoring device to adjust the collection frequency of the monitoring data of the garden greening monitoring device.

[0077] The embodiment of the present application has the following beneficial effects: The embodiment of the present application provides a data collection method for garden greening management, which includes: obtaining the change amplitude of the monitoring data of the garden greening monitoring device; obtaining the data collection method influence degree of the garden greening monitoring device according to the change amplitude of the monitoring data, wherein the data collection method influence degree represents the influence degree of the monitoring data on the accuracy of the garden greening condition judgment; obtaining the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs according to the data collection method influence degree of the garden greening monitoring device; obtaining the regional monitoring real-time coefficient of the green area according to the performance degree of the human intervention condition; and adjusting the collection frequency of the monitoring data of the garden greening monitoring device according to the regional monitoring real-time coefficient of the green area. The embodiment of the present application can dynamically adjust the data collection frequency of the garden greening monitoring device according to the ecological condition of the garden greening area, so as to make the data monitoring of the key area more detailed and effective, ensure the reasonable allocation of management resources, and further improve the overall management efficiency.

[0078] Figure 2 is a flow chart of a method for obtaining the change amplitude of the monitoring data of the garden greening monitoring device according to an exemplary embodiment. As shown in Figure 2 The method for obtaining the change amplitude of the monitoring data of the garden greening monitoring device can include the following steps:

[0079] In step S101, the absolute value of the difference between the monitoring data of any two adjacent monitoring moments of the garden greening monitoring device is obtained.

[0080] In this step, the absolute value of the difference between the monitoring data of any two adjacent monitoring moments t and t-1 of the garden greening monitoring device i is obtained . For example, the soil monitoring data can be arranged in a 500 square meter grid with an Internet of Things soil moisture sensor to continuously record the daily changes of soil compaction, pH value and water content; the hydrological data can be monitored by deploying a float-type water quality sensor around the water area to monitor total phosphorus, ammonia nitrogen and other indicators; ancient trees can be monitored by using a PICUS3 tree trunk tomography scanner to monitor hollowing, combined with tree radar root exploration technology to draw the root distribution of 30 meters underground. The ordinary green area can realize basic leaf condition and growth form exploration through the monitoring probe, and the monitoring data can be obtained by combining ground sampling verification.

[0081] Due to the large difference in vegetation types and monitoring data in the garden greening area, the data collection requirements are different. For example, in terms of function, the ecological protection area can use a weekly tree tomography combined with quantum gravity sensing to monitor the roots of ancient trees, the leisure lawn area can deploy a daily Internet of Things soil moisture sensor to monitor soil compaction and pH value, and the landscape flower belt can use a bi-weekly multi-spectral unmanned aerial vehicle to evaluate the flowering amount and chlorophyll content; accordingly, the number of sensors arranged in different green areas and the monitoring accuracy are different, so the difference in different types of garden greening data and data collection frequency will affect the management status of the garden greening.

[0082] In step S102, the maximum value of the absolute value of the difference between the monitoring data in the monitoring period of the garden greening monitoring device is obtained.

[0083] In this step, the maximum value of the absolute value of the difference between the monitoring data in the monitoring period of the garden greening monitoring device is obtained .

[0084] In step S103, the change range of the monitoring data of the garden greening monitoring device is obtained according to the absolute value of the difference between the monitoring data and the maximum value.

[0085] In this step, the change range of the monitoring data of the garden greening monitoring device is obtained according to the absolute value of the difference between the monitoring data and the maximum value . . For example, the change range of the monitoring data of the garden greening monitoring device can be obtained by the following formula:

[0086] Formula 1

[0087] wherein, is not zero.

[0088] Figure 3 is a flow chart of a method for obtaining a data collection method influence degree of a landscaping monitoring device according to a change amplitude of monitoring data according to an exemplary embodiment. As shown in the figure, the method for obtaining the data collection method influence degree of the landscaping monitoring device according to the change amplitude of the monitoring data can include the following steps: Figure 3

[0089] In step S201, the acquisition frequency of monitoring data of the landscaping monitoring device is obtained.

[0090] In this step, the acquisition frequency of monitoring data of the landscaping monitoring device is obtained .

[0091] In step S202, the number of sampling time points within a monitoring data acquisition period of the landscaping monitoring device is obtained.

[0092] In this step, the number of sampling time points within a monitoring data acquisition period of the landscaping monitoring device is obtained .

[0093] In step S203, the data collection method influence degree of the landscaping monitoring device is obtained according to the change amplitude of the monitoring data, the acquisition frequency of the monitoring data, and the number of sampling time points.

[0094] In this step, the data collection method influence degree of the landscaping monitoring device i is obtained according to the change amplitude of the monitoring data , the acquisition frequency of the monitoring data , and the number of sampling time points . For example, the data collection method influence degree of the landscaping monitoring device i can be obtained by the following formula:

[0095] Formula 2

[0096] wherein, is not zero, represents the change amplitude of the monitoring data of the landscaping monitoring device i at monitoring time t.

[0097] Figure 4 ​​is a flow chart of a method for obtaining a performance degree of human intervention condition of a green area to which a landscape monitoring device belongs according to an influence degree of a data collection mode of the landscape monitoring device according to an exemplary embodiment. As shown in Figure 4 , the method for obtaining the performance degree of the human intervention condition of the green area to which the landscape monitoring device belongs according to the influence degree of the data collection mode of the landscape monitoring device can include the following steps:

[0098] In step S301, a first data sequence composed of data collection mode influence degree data of the landscape monitoring device under different monitoring data collection periods is obtained.

[0099] In this step, a first data sequence composed of data collection mode influence degree data of the landscape monitoring device i under different monitoring data collection periods is obtained ; for example, the first data sequence may be represented as follows:

[0100]

[0101] , wherein represents the data collection mode influence degree of the landscape monitoring device i under the nth monitoring data collection period.

[0102] Since the main purpose of landscape greening is to regulate the city ecology and improve the ecological livability of residents, parks and green spaces provide places for socializing, sports, and close-to-nature for residents, including general green areas in cities, which will be affected by human activity behavior, which will cause abnormal changes in the vegetation growth state data collected by the landscape greening. The growth condition of the vegetation in the normal landscape area is relatively stable, and the abnormal change of the monitoring data is more due to the external intervention of human activity behavior.

[0103] Different landscape green areas are affected by human intervention conditions differently. From a long time span, the performance of different landscape green areas in the change trend of monitoring data has a process from significant to stable, and the duration of human intervention is different, that is, the performance degree of human intervention condition of different landscape green areas is different.

[0104] In step S302, a second data sequence composed of people flow data of the green area to which the landscape monitoring device belongs under different monitoring data collection periods is obtained.

[0105] In this step, a second data sequence composed of people flow data of the green area to which the landscape monitoring device i belongs under different monitoring data collection periods is obtained . For example, the second data sequence may be represented as follows:

[0106]

[0107] wherein, represents the crowd data of the landscaping monitoring device i in the nth monitoring data collection period.

[0108] In step S303, according to the first data sequence and the second data sequence, the performance degree of the human intervention condition of the landscaping monitoring device belonging to the landscaping plot area is obtained.

[0109] In this step, according to the first data sequence and the second data sequence, the performance degree of the human intervention condition of the landscaping monitoring device belonging to the landscaping plot area is obtained. For example, the data collection method influence degree in any monitoring data collection period in the first data sequence can be obtained first, then the crowd data in any monitoring data collection period in the second data sequence is obtained, then the total number of monitoring data collection periods is obtained, and finally, according to the data collection method influence degree in any monitoring data collection period in the first data sequence, the crowd data, and the total number of monitoring data collection periods, the performance degree of the human intervention condition of the landscaping monitoring device belonging to the landscaping plot area is obtained.

[0110] Figure 5 is a flowchart of a method for obtaining the performance degree of the human intervention condition of the landscaping monitoring device belonging to the landscaping plot area according to the first data sequence and the second data sequence according to an exemplary embodiment. As Figure 5 shown, the performance degree of the human intervention condition of the landscaping monitoring device belonging to the landscaping plot area according to the first data sequence and the second data sequence can include the following steps:

[0111] In step S3031, the data collection method influence degree in any monitoring data collection period in the first data sequence is obtained.

[0112] In this step, the data collection method influence degree in any monitoring data collection period s in the first data sequence is obtained.

[0113] In step S3032, the crowd data in the any monitoring data collection period in the second data sequence is obtained.

[0114] In this step, the crowd data in any monitoring data collection period s in the second data sequence is obtained.

[0115] In step S3033, the total number of monitoring data collection periods is obtained.​​

[0116] In this step, the total number of monitoring data collection periods is obtained .

[0117] In step S3034, the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained according to the data collection mode influence degree in any monitoring data collection period in the first data sequence, the passenger flow data, and the total number of monitoring data collection periods.

[0118] In this step, the performance degree of the human intervention condition of the green area to which the garden greening monitoring device i belongs is obtained according to the data collection mode influence degree in any monitoring data collection period in the first data sequence , the passenger flow data , and the total number of monitoring data collection periods . For example, the performance degree of the human intervention condition of the green area to which the garden greening monitoring device i belongs can be obtained by the following formula:

[0119] Formula 3

[0120] wherein, is normalized.

[0121] Figure 6 is a flow chart of a method for obtaining a regional monitoring real-time coefficient of a green area according to a performance degree of a human intervention condition according to an example embodiment. As Figure 6 shown, obtaining the regional monitoring real-time coefficient of the green area according to the performance degree of the human intervention condition can include the following steps:

[0122] In step S401, the difference between the performance degrees of the human intervention conditions of the green area to which the garden greening monitoring device belongs and the adjacent green area is obtained.

[0123] In this step, the difference between the performance degrees of the human intervention conditions of the green area o to which the garden greening monitoring device belongs and the adjacent green area p is obtained . The green area to which the garden greening monitoring device belongs refers to the range covered by one monitoring device, that is, one green area has only one monitoring device.

[0124] In step S402, the first instantaneous change rate average of the performance degree of the human intervention condition of the green area to which the garden greening monitoring device belongs is obtained.

[0125] In this step, the first instantaneous change rate average of the performance degree of the human intervention condition of the green area o to which the garden greening monitoring device belongs is obtained . Wherein, the instantaneous change rate is the change amount of the adjacent two monitoring data divided by the time interval of the adjacent two monitoring data.

[0126] In step S403, the second instantaneous change rate average of the performance degree of the human intervention condition of the adjacent green area of the green area to which the garden greening monitoring device belongs is obtained.

[0127] In this step, the second instantaneous change rate average of the performance degree of the human intervention condition of the adjacent green area p of the green area o to which the garden greening monitoring device belongs is obtained . Wherein, the instantaneous change rate is the change amount of the adjacent two monitoring data divided by the time interval of the adjacent two monitoring data.

[0128] In step S404, the number of monitoring data points of the adjacent green area of the green area to which the garden greening monitoring device belongs is obtained.

[0129] In this step, the number of monitoring data points of the adjacent green area p of the green area to which the garden greening monitoring device belongs is obtained .

[0130] In step S405, according to the difference value of the performance degree of the human intervention condition, the first instantaneous change rate average, the second instantaneous change rate average, and the number of monitoring data points, the area monitoring real-time coefficient of the green area is obtained.

[0131] In this step, according to the difference value of the performance degree of the human intervention condition , the first instantaneous change rate average , the second instantaneous change rate average , and the number of monitoring data points , the area monitoring real-time coefficient of the green area to which the garden greening monitoring device belongs is obtained . For example, the area monitoring real-time coefficient of the green area to which the garden greening monitoring device belongs can be obtained by the following formula:

[0132] Formula 4

[0133] Wherein, represents the maximum minimum value normalization.

[0134] Because the ecological influence of human activities on the landscaping area will cause the regulation ability of the landscaping area to be attenuated for a long time, for example, the soil porosity of the lawn in the garden is reduced by more than 40% due to frequent trampling, which destroys the air permeability and water permeability, hinders the root extension and water infiltration. For example, the soil compaction of the residential green land caused by human trampling makes the plant roots lack of oxygen, the water and fertilizer absorption efficiency decreases, and the tree growth weakens for a long period. Therefore, for the landscaping management, the data collection frequency of the corresponding area needs to be adjusted to improve the judgment of the ecological regulation ability of the landscaping area.

[0135] For the analysis of the monitoring data of the landscaping area, as the ecological regulation ability of the landscaping area gradually decreases, the degree of human intervention gradually increases, and the influence curve of the human intervention is formed. From the change of the monitoring data, the time sequence change of the monitoring data is mainly affected by the regulation ability of the landscaping area itself and the environment, and the overall change trend of the monitoring data curve is mainly affected by the attenuation of the ecological regulation ability, and the local change is affected by the external factors of the environment, that is, after the human intervention occurs, the real-time decrease of the monitoring data collected in the area will occur.

[0136] Figure 7 is a flow chart of a method for adjusting the collection frequency of the monitoring data of the landscaping monitoring device according to the area monitoring real-time coefficient of the landscaping area according to an example embodiment. As shown in Figure 7 , the method for adjusting the collection frequency of the monitoring data of the landscaping monitoring device according to the area monitoring real-time coefficient of the landscaping area can include the following steps:

[0137] In step S501, the area monitoring real-time coefficient of the landscaping area is taken as the confidence weight of the collection frequency of the monitoring data of the landscaping monitoring device, and the collection frequency of the monitoring data of the landscaping monitoring device is adjusted.

[0138] In this step, the area monitoring real-time coefficient of the landscaping area is taken as the confidence weight of the collection frequency of the monitoring data of the landscaping monitoring device i, and the collection frequency of the monitoring data of the landscaping monitoring device i is adjusted. For example, the product of the area monitoring real-time coefficient of the landscaping area and the collection frequency of the monitoring data of the landscaping monitoring device i is taken as the adjusted collection frequency of the monitoring data of the landscaping monitoring device i .

[0139] Figure 8 is a flow chart of another data collection method for landscaping management according to an example embodiment. As shown in Figure 8As shown, the method can further comprise the following steps:

[0140] In step S60, the validity of the landscaping monitoring data collected according to the collection frequency adjusted based on the confidence weight is evaluated to obtain a monitoring data validity evaluation value.

[0141] In this step, the validity of the landscaping monitoring data collected according to the collection frequency adjusted based on the confidence weight is evaluated to obtain a monitoring data validity evaluation value. Exemplarily, the validity of the landscaping monitoring data can be evaluated to obtain a monitoring data validity evaluation value using existing technologies, which will not be described herein again.

[0142] In step S70, the collection frequency of the monitoring data of the landscaping monitoring device is adjusted according to the monitoring data validity evaluation value.

[0143] In this step, the collection frequency of the monitoring data of the landscaping monitoring device is adjusted according to the monitoring data validity evaluation value. Exemplarily, the collection frequency of the monitoring data of the landscaping monitoring device can be increased when the monitoring data validity evaluation value is less than a preset threshold value; and the collection frequency of the monitoring data of the landscaping monitoring device can be maintained unchanged when the monitoring data validity evaluation value is greater than or equal to the preset threshold value.

[0144] Figure 9 is a flowchart of a method for adjusting the collection frequency of the monitoring data of the landscaping monitoring device according to a monitoring data validity evaluation value according to an exemplary embodiment. As shown, Figure 9 The method for adjusting the collection frequency of the monitoring data of the landscaping monitoring device according to the monitoring data validity evaluation value can comprise the following steps:

[0145] In step S701, the collection frequency of the monitoring data of the landscaping monitoring device is increased when the monitoring data validity evaluation value is less than a preset threshold value.

[0146] In this step, the collection frequency of the monitoring data of the landscaping monitoring device is increased when the monitoring data validity evaluation value is less than a preset threshold value. Exemplarily, the preset threshold value can be 0.8.

[0147] In step S702, the collection frequency of the monitoring data of the landscaping monitoring device is maintained unchanged when the monitoring data validity evaluation value is greater than or equal to the preset threshold value.

[0148] In this step, the collection frequency of the monitoring data of the garden greening monitoring device is maintained unchanged in a case that the monitoring data validity evaluation value is greater than or equal to a preset threshold value. Exemplarily, the preset threshold value can be 0.8.

[0149] To sum up, the embodiment of the present application provides a data collection method for garden greening management, which comprises: acquiring a change amplitude of monitoring data of a garden greening monitoring device; acquiring a data collection mode influence degree of the garden greening monitoring device according to the change amplitude of the monitoring data, the data collection mode influence degree representing an influence degree of the monitoring data on the accuracy of the judgment of the garden greening condition; acquiring a performance degree of a human intervention condition of a greening area to which the garden greening monitoring device belongs according to the data collection mode influence degree of the garden greening monitoring device; acquiring a regional monitoring real-time coefficient of the greening area according to the performance degree of the human intervention condition; and adjusting a collection frequency of the monitoring data of the garden greening monitoring device according to the regional monitoring real-time coefficient of the greening area. The embodiment of the present application can dynamically adjust the data collection frequency of the garden greening monitoring device according to the ecological condition of the garden greening area, so as to make the data monitoring of the key area more detailed and effective, ensure the reasonable allocation of the management resources, and further improve the overall management efficiency.

[0150] The present application also provides a computer readable storage medium, which stores computer program instructions, the program instructions being executed by a processor to implement the steps of the data collection method for garden greening management provided by the present application.

[0151] Figure 10 is a block diagram of a data collection system for garden greening management according to an exemplary embodiment. As shown in Figure 10 , the embodiment of the present application provides a data collection system 1000 for garden greening management, which comprises a monitoring platform 1100.

[0152] Figure 11 is a block diagram of a monitoring platform according to an exemplary embodiment. For example, the monitoring platform 1100 can be provided as a server. Referring to Figure 11 , the monitoring platform 1100 comprises a processor 1122, which further comprises one or more processors, and a memory resource represented by a memory 1132, for storing instructions executable by the processor 1122, such as an application program. The application program stored in the memory 1132 can comprise one or more than one module each corresponding to a set of instructions. In addition, the processor 1122 is configured to execute the instructions to perform the above-mentioned data collection method for garden greening management.

[0153] The monitoring platform 1100 can also include a power supply component 1126 configured to perform power management of the monitoring platform 1100, a communication component 1150 configured to connect the monitoring platform 1100 to a network, and an input / output interface 1158. The monitoring platform 1100 can operate based on an operating system stored in the memory 1132.

[0154] In another exemplary embodiment, a computer program product is also provided, which contains a computer program capable of being executed by a programmable electronic device, the computer program having code portions for performing the above-mentioned data collection method for garden greening management when executed by the programmable electronic device.

[0155] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be construed as limiting the scope of the present application. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of protection of the present application.

Claims

1. A data collection method for landscape greening management, characterized in that, The method includes: To obtain the rate of change in monitoring data from landscaping monitoring equipment; Based on the variation range of the monitoring data, the influence degree of the data acquisition method of the garden greening monitoring equipment is obtained. The influence degree of the data acquisition method represents the degree of influence of the monitoring data on the accuracy of the judgment of the garden greening status. Based on the impact of the data acquisition method of the landscape greening monitoring equipment, the performance of human intervention in the greening area to which the landscape greening monitoring equipment belongs is obtained; Based on the performance of the human intervention, the regional monitoring real-time coefficient of the green area is obtained; Based on the regional monitoring real-time coefficient of the green area, adjust the data acquisition frequency of the garden greening monitoring equipment; The step of obtaining the performance degree of human intervention in the green area to which the green monitoring equipment belongs, based on the influence of the data acquisition method of the green monitoring equipment, includes: Obtain a first data sequence consisting of the impact data of the data acquisition method of the garden greening monitoring equipment under different monitoring data acquisition cycles; Obtain a second data sequence consisting of pedestrian flow data for the green area to which the garden greening monitoring equipment belongs under different monitoring data collection periods; Based on the first data sequence and the second data sequence, the performance degree of human intervention in the green area to which the landscaping monitoring equipment belongs is obtained, including: obtaining the impact degree of data collection method under any monitoring data collection period in the first data sequence; obtaining the pedestrian flow data under any monitoring data collection period in the second data sequence; obtaining the total number of monitoring data collection periods; and obtaining the performance degree of human intervention in the green area to which the landscaping monitoring equipment belongs based on the impact degree of data collection method under any monitoring data collection period in the first data sequence, the pedestrian flow data, and the total number of monitoring data collection periods. The step of obtaining the regional monitoring real-time coefficient of the green area based on the performance of the human intervention includes: The difference in the degree of human intervention between the green area to which the landscape monitoring equipment belongs and adjacent green areas is obtained; The average rate of change of the first instantaneous value of the performance of human intervention in the green area to which the garden greening monitoring equipment belongs is obtained; The average instantaneous rate of change of the performance of human intervention in adjacent green areas of the green area to which the garden greening monitoring equipment belongs is obtained; Obtain the number of monitoring data points in adjacent green areas of the green area to which the landscape monitoring equipment belongs; The regional monitoring real-time coefficient of the green area is obtained based on the difference in the performance of the human intervention, the average of the first instantaneous change rate, the average of the second instantaneous change rate, and the number of monitoring data points.

2. The data collection method for landscape greening management according to claim 1, characterized in that, The change range of the monitoring data obtained from the landscaping monitoring equipment includes: Obtain the absolute value of the difference between the monitoring data at any two adjacent monitoring times of the landscape greening monitoring equipment; The absolute value of the difference in the monitoring data is obtained as the maximum value within the monitoring cycle of the landscaping monitoring equipment. The variation range of the monitoring data of the landscaping monitoring equipment is obtained based on the absolute value of the difference between the monitoring data and the maximum value.

3. The data collection method for landscape greening management according to claim 1, characterized in that, The step of obtaining the impact of the data acquisition method of the landscaping monitoring equipment based on the change range of the monitoring data includes: Obtain the data acquisition frequency of the monitoring equipment for the landscaping monitoring; Obtain the number of sampling times within the monitoring data acquisition cycle of the aforementioned landscaping monitoring equipment; The impact of the data acquisition method of the landscaping monitoring equipment is obtained based on the magnitude of change in the monitoring data, the frequency of data collection, and the number of sampling times.

4. The data collection method for landscape greening management according to claim 1, characterized in that, The step of adjusting the data acquisition frequency of the landscaping monitoring equipment based on the regional monitoring real-time coefficient of the green area includes: The real-time monitoring coefficient of the green area is used as the confidence weight of the data acquisition frequency of the garden greening monitoring equipment, and the data acquisition frequency of the garden greening monitoring equipment is adjusted accordingly.

5. The data collection method for landscape greening management according to claim 4, characterized in that, The method further includes: The validity of the monitoring data of landscaping collected at the collection frequency adjusted according to the confidence weight is evaluated, and the validity evaluation value of the monitoring data is obtained. Based on the validity assessment value of the monitoring data, the collection frequency of the monitoring data from the landscaping monitoring equipment is adjusted.

6. The data collection method for landscape greening management according to claim 5, characterized in that, The step of adjusting the data collection frequency of the landscaping monitoring equipment based on the validity assessment value of the monitoring data includes: If the validity assessment value of the monitoring data is less than a preset threshold, the collection frequency of the monitoring data of the landscaping monitoring equipment shall be increased. If the validity assessment value of the monitoring data is greater than or equal to the preset threshold, the collection frequency of the monitoring data of the landscaping monitoring equipment shall remain unchanged.

7. A data acquisition system for landscape greening management, characterized in that, The system includes a monitoring platform, which includes: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-6.

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