Garden carbon emission monitoring system based on multi-source sensor

Abstract

The invention discloses a garden carbon emission monitoring system based on a multi-source sensor, which relates to the technical field of carbon emission monitoring and comprises a monitoring center, a data acquisition module, a data processing module, a carbon emission measurement and calculation module and a carbon emission supervision module. A data acquisition module selects a plurality of carbon emission monitoring points in a garden to arrange sensing acquisition modules, the sensing acquisition modules are used for acquiring carbon emission related data of each carbon emission monitoring point in the garden, and a data processing module accesses each sensing acquisition module to a data processing network. The data processing network carries out data correction and communication transmission on the carbon emission related data, and the carbon emission measurement and calculation module receives all the carbon emission related data to carry out carbon emission measurement and calculation so as to obtain the dynamic carbon emission concentration of each carbon emission monitoring point. And the carbon emission supervision module performs data analysis according to the dynamic carbon emission concentration of each carbon emission monitoring point position, early warns the carbon emission monitoring point positions under the abnormal carbon emission condition, and takes supervision measures for processing.

Description

Technical Field

[0001] The invention relates to the technical field of carbon emission monitoring, in particular to a garden carbon emission monitoring system based on multi-source sensors. Background Art

[0002] At present, carbon emission monitoring technologies in green areas such as gardens or parks mainly rely on single sensors or simple monitoring systems. These technologies have the following limitations in practical applications:

[0003] The arrangement of monitoring points is single: the existing technology often only arranges limited monitoring points in the garden, which cannot fully cover all areas of the garden, resulting in incomplete monitoring data.

[0004] Insufficient data accuracy: Due to the lack of an effective data correction mechanism, the data accuracy of the existing monitoring system is limited, affecting the reliability of the monitoring results.

[0005] Weak early warning and regulatory capabilities: The existing monitoring system lacks an effective early warning and regulatory mechanism, and abnormal carbon emissions are not handled in a timely manner, making it difficult to effectively control garden carbon emissions.

[0006] Therefore, how to study a garden carbon emission monitoring system based on multi-source sensors has become a top priority. Summary of the invention

[0007] In order to solve the above problems, the purpose of the present invention is to provide a garden carbon emission monitoring system based on multi-source sensors.

[0008] The purpose of the present invention can be achieved by the following technical solutions: a garden carbon emission monitoring system based on multi-source sensors, comprising a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data processing module, a carbon emission measurement module and a carbon emission supervision module;

[0009] The data acquisition module is used to select several carbon emission monitoring points in the garden, and arrange a sensing acquisition module composed of a carbon dioxide sensor, a temperature sensor, a humidity sensor and a light sensor at each carbon emission monitoring point, so as to collect carbon emission related data of several carbon emission monitoring points in the garden;

[0010] The data processing module is used to connect several sensor collection modules to the corresponding data processing network, and the data processing network performs data correction and communication transmission on the carbon emission related data collected by the corresponding sensor collection modules;

[0011] The carbon emission calculation module is used to receive all carbon emission related data transmitted by the data processing network communication, and perform carbon emission calculation based on all carbon emission related data, thereby obtaining the dynamic carbon emission concentration of each carbon emission monitoring point;

[0012] The carbon emission supervision module is used to perform data analysis based on the dynamic carbon emission concentration of each carbon emission monitoring point, and then warn the carbon emission monitoring points that are in abnormal carbon emission situations, and take supervision measures to deal with the abnormal carbon emission situations.

[0013] Furthermore, a number of carbon emission monitoring points are selected in the garden, and a sensing collection module consisting of a carbon dioxide sensor, a temperature sensor, a humidity sensor, and a light sensor is arranged at each carbon emission monitoring point, and the process of collecting carbon emission related data of the number of carbon emission monitoring points in the garden includes:

[0014] A number of carbon emission monitoring points selected in the garden are numbered and recorded as i, i = 1, 2, 3, ..., n, where n is a natural number greater than 0. Different types of sensors are arranged at each carbon emission monitoring point to determine whether there are abnormalities in the real-time operating parameters of different types of sensors;

[0015] If there is an abnormality, the data of the sensor with the abnormality is initialized, and the real-time operating parameters after the data initialization are analyzed to see whether they return to normal. If so, the sensor is started to collect data. If not, maintenance personnel are arranged to perform offline maintenance on the sensor with the abnormality.

[0016] If there is no abnormality, the sensor is started directly, and all types of sensors under the same carbon emission monitoring point are networked into the same local area network, and then the corresponding sensor acquisition module is formed. The carbon emission related data of the corresponding carbon emission monitoring point is collected through the sensor acquisition module. The carbon emission related data includes carbon dioxide concentration change data, temperature change data, humidity change data and light change data.

[0017] Furthermore, the process of connecting several sensor collection modules to a corresponding data processing network includes:

[0018] The sensor collection module of each carbon emission monitoring point constructs its own data access request. The data access request of the sensor collection module corresponding to the carbon emission monitoring point numbered i is recorded as Request[i]. The data access request of each sensor collection module is sent to the data processing network for review.

[0019] If the review is passed, a data access relationship between the corresponding sensor collection module and the data processing network is established, and the carbon emission-related data of the corresponding carbon emission monitoring point collected by the sensor collection module is entered into the data processing network;

[0020] If the audit fails, the corresponding data access request will be marked as an illegal access request, and the sensor collection module of the carbon emission monitoring point corresponding to the illegal access request will be prohibited from accessing the data processing network.

[0021] Furthermore, the process of data processing network correcting and communicating the carbon emission related data collected by the corresponding sensor collection module includes:

[0022] After the data processing network receives the carbon emission related data collected by the sensor collection modules corresponding to all carbon emission monitoring points, the data processing network performs data correction on all the carbon emission related data. After the data correction is completed, the carbon emission related data of each carbon emission monitoring point is encapsulated into a preset blank data file, thereby generating a corresponding file to be transmitted;

[0023] The data processing network encrypts and compresses each file to be transmitted, and then converts each file to be transmitted into a corresponding encrypted file stream, and establishes several communication channels between the data processing network and the carbon emission measurement module, each communication channel is used for communication transmission of an encrypted file stream.

[0024] Furthermore, the process of receiving all carbon emission related data transmitted by the data processing network communication, and calculating carbon emissions based on all carbon emission related data, and then obtaining the dynamic carbon emission concentration of each carbon emission monitoring point includes:

[0025] The carbon emission calculation module receives the encrypted file streams transmitted by the several communication channels in the data processing network, decompresses and decrypts all the encrypted file streams, and then restores the carbon emission related data corresponding to the several carbon emission monitoring points in the garden;

[0026] Construct a carbon emission calculation model to calculate the carbon emissions of several carbon emission monitoring points. The carbon emission calculation model consists of a calculation data input layer and a calculation result output layer.

[0027] According to the temperature change data, humidity change data and light change data in the carbon emission related data, a temperature change regression function, a humidity change regression function and a light intensity change regression function are constructed at each carbon emission monitoring point;

[0028] Construct a Cartesian coordinate system, and construct a carbon dioxide concentration change trend curve on the Cartesian coordinate system according to the carbon dioxide concentration change data;

[0029] After combining the temperature change regression function, humidity change regression function and light intensity change regression function with the carbon dioxide concentration change trend curve in turn, they are input into the measurement data input layer respectively, and the measurement result output layer outputs the data related to the impact of temperature change, humidity change and light intensity change on carbon dioxide concentration change respectively, and marks them as the first measurement data, the second measurement data and the third measurement data respectively;

[0030] Different weight coefficients that affect the change in carbon dioxide concentration are set for the first measurement data, the second measurement data, and the third measurement data. The first measurement data, the second measurement data, the third measurement data, and the carbon dioxide concentration change data at each carbon emission monitoring point are used as input data of the measurement data input layer of the carbon emission measurement model. The measurement result output layer outputs the dynamic carbon emission concentration corresponding to each carbon emission monitoring point.

[0031] Furthermore, the process of performing data analysis based on the dynamic carbon emission concentration of each carbon emission monitoring point and then warning the carbon emission monitoring point in abnormal carbon emission situations includes:

[0032] The dynamic carbon emission concentration of each carbon emission monitoring point is represented by a line graph, which is used to record the dynamic changes of carbon emission concentration at several time points and set the critical emission threshold of carbon emission concentration;

[0033] All time points when the carbon emission concentration is greater than or equal to the critical emission threshold are marked as abnormal carbon emission nodes, and all time points when the carbon emission concentration is less than the critical emission threshold are marked as normal carbon emission nodes. The abnormal judgment threshold corresponding to distinguishing whether the carbon emission monitoring point is in an abnormal carbon emission situation is set and recorded as μ;

[0034] The number of abnormal carbon emission nodes and normal carbon emission nodes under the carbon emission monitoring point are respectively denoted as N 异常 and N 正常 , according to N 异常 and N 正常 Get the abnormal point ratio value, record the abnormal point ratio value as Er, then Er=N 异常 / (N 异常 +N 正常 );

[0035] When Er>μ, it warns that the current carbon emission monitoring point is in an abnormal carbon emission situation;

[0036] When Er≤μ, it means that the current carbon emission monitoring point is in a normal carbon emission situation;

[0037] All carbon emission monitoring points that are in abnormal carbon emission situations are warned, and different warning levels are marked for the carbon emission monitoring points in abnormal carbon emission situations.

[0038] Furthermore, the process of marking different warning levels for carbon emission monitoring points in abnormal carbon emission situations includes:

[0039] Set different level intervals, including a first interval, a second interval, and a third interval, which are denoted as Ω1, Ω2, and Ω3 respectively;

[0040] When Er∈Ω1, the warning level of the current carbon emission monitoring point is marked as yellow warning, indicating that the current carbon emission concentration is slightly abnormal;

[0041] When Er∈Ω2, the warning level of the current carbon emission monitoring point is marked as orange warning, indicating that the current carbon emission concentration is moderately abnormal;

[0042] When Er∈Ω3, the warning level of the current carbon emission monitoring point is marked as red warning, indicating that the current carbon emission concentration is severely abnormal.

[0043] Furthermore, the process of taking regulatory measures to deal with abnormal carbon emissions includes:

[0044] According to the warning level corresponding to the carbon emission monitoring point, corresponding processing priorities are set for several carbon emission monitoring points. The processing priorities include the highest priority, the second highest priority and the general priority. The specific relationship between the warning level and the processing priority is as follows:

[0045] Yellow warning—normal priority;

[0046] Orange alert—second highest priority;

[0047] Red alert—highest priority;

[0048] In the order of highest priority, second highest priority and general priority, regulatory measures are taken for each carbon emission monitoring point in turn. After implementing the corresponding regulatory measures, the dynamic carbon emission concentration of the corresponding carbon emission monitoring point is reduced to the corresponding carbon emission concentration under normal carbon emission circumstances.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. By selecting multiple carbon emission monitoring points in the garden to arrange the sensor collection module, the comprehensive coverage and collection of carbon emission related data in the garden area is achieved. The collected carbon emission related data is corrected and transmitted through the data processing network, which improves the accuracy of the data and the stability of transmission.

[0051] 2. Through the carbon emission measurement module and the carbon emission supervision module, real-time monitoring of the dynamic carbon emission concentration is achieved at each carbon emission monitoring point, which improves the real-time nature of the monitoring. After data analysis of the dynamic carbon emission concentration, timely warnings are given for carbon emission monitoring points with abnormal carbon emissions, and corresponding supervision measures are taken to deal with the abnormal carbon emission situations, effectively controlling the carbon emissions of the entire garden. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0053] like Figure 1 As shown, a garden carbon emission monitoring system based on multi-source sensors includes a monitoring center, which is communicatively connected to a data acquisition module, a data processing module, a carbon emission measurement module, and a carbon emission supervision module;

[0054] The data acquisition module is used to select several carbon emission monitoring points in the garden, and arrange a sensing acquisition module composed of a carbon dioxide sensor, a temperature sensor, a humidity sensor and a light sensor at each carbon emission monitoring point, so as to collect carbon emission related data of several carbon emission monitoring points in the garden;

[0055] The data processing module is used to connect several sensor collection modules to the corresponding data processing network, and the data processing network performs data correction and communication transmission on the carbon emission related data collected by the corresponding sensor collection modules;

[0056] The carbon emission calculation module is used to receive all carbon emission related data transmitted by the data processing network communication, and perform carbon emission calculation based on all carbon emission related data, thereby obtaining the dynamic carbon emission concentration of each carbon emission monitoring point;

[0057] The carbon emission supervision module is used to perform data analysis based on the dynamic carbon emission concentration of each carbon emission monitoring point, and then warn the carbon emission monitoring points that are in abnormal carbon emission situations, and take supervision measures to deal with the abnormal carbon emission situations.

[0058] It should be further explained that, in the specific implementation process, several carbon emission monitoring points are selected in the garden, and a sensing collection module consisting of a carbon dioxide sensor, a temperature sensor, a humidity sensor and a light sensor is arranged at each carbon emission monitoring point, and then the process of collecting carbon emission related data of several carbon emission monitoring points in the garden includes:

[0059] A number of carbon emission monitoring points selected in the garden are numbered and the number is recorded as i, then i=1, 2, 3, ..., n, where n is a natural number greater than 0, and different types of sensors are arranged at each carbon emission monitoring point, and the different types of sensors include carbon dioxide sensors, temperature sensors, humidity sensors and light sensors;

[0060] Determine whether there are any abnormalities in the real-time operating parameters of the carbon dioxide sensor, temperature sensor, humidity sensor, and light sensor. If there are any abnormalities, initialize the data of the sensor with the abnormality, and analyze whether the real-time operating parameters after the data initialization return to normal. If so, start the sensor to collect data. If not, arrange maintenance personnel to perform offline maintenance on the sensor with the abnormality;

[0061] If there is no abnormality, the sensor whose real-time operating parameters are normal is directly started, and all types of sensors at the same carbon emission monitoring point are networked into the same local area network to form a corresponding sensor acquisition module;

[0062] Among them, the carbon dioxide concentration change data, temperature change data, humidity change data and light change data of the corresponding carbon emission monitoring points are collected respectively through carbon dioxide sensors, temperature sensors, humidity sensors and light sensors, and the integrated data are used as the carbon emission related data of the corresponding carbon emission monitoring points.

[0063] It should be further explained that, in the specific implementation process, the process of connecting several sensor acquisition modules to the corresponding data processing network includes:

[0064] The sensor collection module at each carbon emission monitoring point constructs its own corresponding data access request, and uses the number of each carbon emission monitoring point as the identity credential of the data processing request. The data access request of the sensor collection module corresponding to the carbon emission monitoring point numbered i is Request[i];

[0065] The data access request of each sensor collection module is sent to the data processing network. After being reviewed and approved by the data processing network, a data access relationship between the corresponding sensor collection module and the data processing network is established, and then the carbon emission-related data of the corresponding carbon emission monitoring point collected by the sensor collection module is entered into the data processing network;

[0066] Mark the data access request that fails the data processing network review as an illegal access request, and prohibit the sensor collection module at the carbon emission monitoring point corresponding to the illegal access request from accessing the data processing network; for the sensor collection module whose data access request fails the review, set the upper limit of the error access corresponding to its data access request;

[0067] When the number of data access requests is less than or equal to the upper limit of incorrect access, the sensor collection module reconstructs its corresponding data access request and sends it to the data processing network with the collected carbon emission related data until the data processing network approves the data access request and allows the carbon emission related data it carries to be entered into the data processing network;

[0068] When the number of data access requests is greater than the upper limit of incorrect access, the number of the sensor acquisition module that sends the data access request is included in the blacklist.

[0069] It should be further explained that, in the specific implementation process, the process of data correction and communication transmission of the carbon emission related data collected by the corresponding sensor collection module by the data processing network includes:

[0070] After the data processing network receives the carbon emission related data collected by the sensor collection modules corresponding to all carbon emission monitoring points, the data processing network performs data correction on all the carbon emission related data. After the data correction is completed, the carbon emission related data of each carbon emission monitoring point is encapsulated into a preset blank data file, thereby generating a corresponding file to be transmitted;

[0071] The data correction includes: detecting and correcting data of error types in carbon emission related data, the error types include spelling errors and format errors, identifying and processing outliers and missing values ​​in carbon emission related data, correcting outliers, supplementing missing values, and applying filtering algorithms to remove noise information in carbon emission related data;

[0072] The data processing network performs data encryption and data compression on each file to be transmitted, and then converts each file to be transmitted into a corresponding encrypted file stream, and establishes several communication channels between the data processing network and the carbon emission measurement module, each communication channel is used for communication transmission of an encrypted file stream;

[0073] When the encrypted file stream enters the communication channel, an environmental monitoring task is constructed for each encrypted file stream, and the control authority code of each environmental monitoring task is obtained and sent to the monitoring center. The monitoring center monitors the real-time transmission environment of each encrypted file stream after it enters the communication channel. When an abnormality is detected in the real-time transmission environment of the corresponding communication channel, the monitoring center issues an early warning and the administrator responsible for data processing network maintenance handles the exception.

[0074] It should be further explained that, in the specific implementation process, the process of receiving all carbon emission related data transmitted by the data processing network communication, and calculating carbon emissions based on all carbon emission related data, and then obtaining the dynamic carbon emission concentration of each carbon emission monitoring point includes:

[0075] The carbon emission calculation module receives the encrypted file streams transmitted by the several communication channels in the data processing network, decompresses and decrypts all the encrypted file streams, and then restores the carbon emission related data corresponding to the several carbon emission monitoring points in the garden;

[0076] Carbon emissions are calculated based on relevant carbon emission data. The contents of carbon emissions calculation are as follows:

[0077] Decompose carbon emission related data into carbon dioxide concentration change data, temperature change data, humidity change data and light change data;

[0078] The carbon dioxide concentration change data consists of carbon dioxide concentrations corresponding to several time points, the temperature change data consists of temperature values ​​corresponding to several time points, the humidity change data consists of humidity values ​​corresponding to several time points, and the light change data consists of light intensity values ​​corresponding to several time points;

[0079] Constructing a carbon emission calculation model, wherein the carbon emission calculation model is used to calculate the carbon emissions of a plurality of carbon emission monitoring points, and the carbon emission calculation model is composed of a calculation data input layer and a calculation result output layer;

[0080] Construct a temperature change regression function for each carbon emission monitoring point as the temperature value changes over time; construct a humidity change regression function for each carbon emission monitoring point as the humidity value changes over time; construct a light intensity change regression function for each carbon emission monitoring point as the light intensity value changes over time;

[0081] Construct a Cartesian coordinate system, use the several time points corresponding to the carbon dioxide concentration change data at each carbon emission monitoring point as mapping elements on the horizontal axis, and use the carbon dioxide concentrations corresponding to the several time points as mapping elements on the vertical axis, and then construct a carbon dioxide concentration change trend curve on the Cartesian coordinate system;

[0082] The temperature change regression function and the carbon dioxide concentration change trend curve are input into the measurement data input layer, and the measurement result output layer outputs the impact-related data between the temperature change and the carbon dioxide concentration change, and marks them as the first measurement data;

[0083] The humidity change regression function and the carbon dioxide concentration change trend curve are input into the measurement data input layer, and the measurement result output layer outputs the impact-related data between the humidity change and the carbon dioxide concentration change, and marks them as the second measurement data;

[0084] The light intensity change regression function and the carbon dioxide concentration change trend curve are input into the measurement data input layer, and the measurement result output layer outputs the impact-related data between the light intensity change and the carbon dioxide concentration change, and marks them as the third measurement data;

[0085] Different weight coefficients affecting the change of carbon dioxide concentration are set for the first measured data, the second measured data and the third measured data, and the weight coefficients of the first measured data, the second measured data and the third measured data are recorded as Qz1, Qz2 and 1-Qz1-Qz2 respectively;

[0086] Among them, 0<Qz1<1, 0<Qz2<1, 0<1-Qz1-Qz2<1;

[0087] The different weight coefficients are set by professionals in actual application scenarios according to the degree of correlation between the influence of temperature changes, humidity changes and ambient light intensity changes on the changes in carbon dioxide concentration;

[0088] The first measurement data, the second measurement data, the third measurement data and the carbon dioxide concentration change data at each carbon emission monitoring point are used as the input data of the measurement data input layer corresponding to the carbon emission measurement model, and then the measurement result output layer outputs the dynamic carbon emission concentration corresponding to each carbon emission monitoring point.

[0089] It should be further explained that, in the specific implementation process, the process of conducting data analysis based on the dynamic carbon emission concentration of each carbon emission monitoring point and then warning of carbon emission monitoring points in abnormal carbon emission situations includes:

[0090] The dynamic carbon emission concentration corresponding to each carbon emission monitoring point is represented in the form of a line graph, which is used to record the dynamic changes of the corresponding carbon emission concentration at several time points, and set the critical emission threshold of the carbon emission concentration, which is the corresponding value of the maximum allowable carbon emission concentration under normal circumstances;

[0091] All time points when the carbon emission concentration is greater than or equal to the critical emission threshold are marked as abnormal carbon emission nodes, and all time points when the carbon emission concentration is less than the critical emission threshold are marked as normal carbon emission nodes. An abnormal determination threshold corresponding to distinguishing whether the carbon emission monitoring point is in an abnormal carbon emission situation is set, and the abnormal determination threshold is recorded as μ;

[0092] Taking a carbon emission monitoring point as an example, the number of abnormal carbon emission nodes and normal carbon emission nodes corresponding to the carbon emission concentration at several time points is counted, and the number of abnormal carbon emission nodes is recorded as N 异常 , the number of normal carbon emission nodes is recorded as N 正常 ;

[0093] According to N 异常 and N 正常 Obtain the abnormal point ratio of each carbon emission monitoring point, and record the abnormal point ratio as Er, then Er=N 异常 / (N 异常 +N 正常 );

[0094] When Er>μ, it warns that the current carbon emission monitoring point is in an abnormal carbon emission situation;

[0095] When Er≤μ, it means that the current carbon emission monitoring point is in a normal carbon emission situation;

[0096] The abnormal point ratio values ​​of several carbon emission monitoring points are obtained, and according to the numerical relationship between the abnormal point ratio value and the abnormal judgment threshold, all carbon emission monitoring points that are in abnormal carbon emission situations are warned.

[0097] Furthermore, different warning levels are marked for carbon emission monitoring points in abnormal carbon emission situations, as follows:

[0098] Setting different level intervals, the level intervals include a first interval, a second interval and a third interval, which are respectively denoted as Ω1, Ω2 and Ω3;

[0099] When Er∈Ω1, the warning level of the current carbon emission monitoring point is marked as yellow warning, indicating that the current carbon emission concentration is slightly abnormal;

[0100] When Er∈Ω2, the warning level of the current carbon emission monitoring point is marked as orange warning, indicating that the current carbon emission concentration is moderately abnormal;

[0101] When Er∈Ω3, the warning level of the current carbon emission monitoring point is marked as red warning, indicating that the current carbon emission concentration is severely abnormal.

[0102] Among them, Ω1=(μ, d1], Ω2=(d1, d2], Ω3=(d2, 1], 0<μ<d1<d2<1, the values ​​of d1 and d2 can be changed by the management personnel at a later stage according to the actual carbon emission monitoring situation.

[0103] It should be further explained that, in the specific implementation process, the process of taking regulatory measures to deal with abnormal carbon emissions includes:

[0104] According to the warning level corresponding to the carbon emission monitoring point, corresponding processing priorities are set for several carbon emission monitoring points. The processing priorities include the highest priority, the second highest priority and the general priority. The specific correspondence between the warning level and the processing priority is as follows:

[0105] Yellow warning—normal priority;

[0106] Orange alert—second highest priority;

[0107] Red alert—highest priority;

[0108] In the order of highest priority, second highest priority, and general priority, regulatory measures are taken for each carbon emission monitoring point in turn. After the corresponding regulatory measures are implemented, the dynamic carbon emission concentration of the corresponding carbon emission monitoring point is reduced to the corresponding carbon emission concentration under normal carbon emission conditions;

[0109] The contents of the regulatory measures include the following:

[0110] Send professional technicians to investigate carbon emission monitoring points that are in abnormal carbon emission situations to evaluate the causes of abnormal carbon emissions, collect meteorological condition data, vegetation status data, and soil type data at the current carbon emission monitoring points, temporarily cover the vegetation near the current carbon emission monitoring points, restrict tourists from entering the garden or reduce activities in the garden to reduce carbon emissions;

[0111] Optimize the configuration of garden vegetation, increase the number of plants with strong carbon sink capacity, increase the organic matter content in the soil to improve soil structure, use carbon capture and storage technology to reduce carbon emissions, install air purification devices or add green belts to absorb excess carbon emissions;

[0112] Carry out environmental remediation at carbon emission monitoring points that are under abnormal carbon emission conditions, clean up garbage and rotten plants at corresponding carbon emission monitoring points in the garden, reduce carbon emissions caused by decomposition of organic matter, and repair damaged vegetation.

[0113] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A garden carbon emission monitoring system based on multi-source sensors, including a monitoring center, characterized in that: The monitoring center is communicatively connected to a data acquisition module, a data processing module, a carbon emission calculation module and a carbon emission supervision module; The data acquisition module is used to select several carbon emission monitoring points in the garden, and arrange a sensing acquisition module composed of a carbon dioxide sensor, a temperature sensor, a humidity sensor and a light sensor at each carbon emission monitoring point, so as to collect carbon emission related data of several carbon emission monitoring points in the garden; The data processing module is used to connect several sensor collection modules to the corresponding data processing network, and the data processing network performs data correction and communication transmission on the carbon emission related data collected by the corresponding sensor collection modules; The carbon emission calculation module is used to receive all carbon emission related data transmitted by the data processing network communication, and perform carbon emission calculation based on all carbon emission related data, thereby obtaining the dynamic carbon emission concentration of each carbon emission monitoring point; The carbon emission supervision module is used to perform data analysis based on the dynamic carbon emission concentration of each carbon emission monitoring point, and then warn the carbon emission monitoring points that are in abnormal carbon emission situations, and take supervision measures to deal with the abnormal carbon emission situations.

2. The garden carbon emission monitoring system based on multi-source sensors according to claim 1 is characterized in that: A number of carbon emission monitoring points are selected in the garden, and a sensing collection module consisting of a carbon dioxide sensor, a temperature sensor, a humidity sensor, and a light sensor is arranged at each carbon emission monitoring point, and the process of collecting carbon emission related data from the carbon emission monitoring points in the garden includes: A number of carbon emission monitoring points selected in the garden are numbered and recorded as i, i = 1, 2, 3, ..., n, where n is a natural number greater than 0. Different types of sensors are arranged at each carbon emission monitoring point to determine whether there are abnormalities in the real-time operating parameters of different types of sensors; If there is an abnormality, the data of the sensor with the abnormality is initialized, and the real-time operating parameters after the data initialization are analyzed to see whether they return to normal. If so, the sensor is started to collect data. If not, maintenance personnel are arranged to perform offline maintenance on the sensor with the abnormality. If there is no abnormality, the sensor is started directly, and all types of sensors under the same carbon emission monitoring point are networked into the same local area network, and then the corresponding sensor acquisition module is formed. The carbon emission related data of the corresponding carbon emission monitoring point is collected through the sensor acquisition module. The carbon emission related data includes carbon dioxide concentration change data, temperature change data, humidity change data and light change data.

3. The garden carbon emission monitoring system based on multi-source sensors according to claim 2 is characterized in that: The process of connecting several sensor acquisition modules to the corresponding data processing network includes: The sensor collection module of each carbon emission monitoring point constructs its own data access request. The data access request of the sensor collection module corresponding to the carbon emission monitoring point numbered i is recorded as Request[i]. The data access request of each sensor collection module is sent to the data processing network for review. If the review is passed, a data access relationship between the corresponding sensor collection module and the data processing network is established, and the carbon emission-related data of the corresponding carbon emission monitoring point collected by the sensor collection module is entered into the data processing network; If the audit fails, the corresponding data access request will be marked as an illegal access request, and the sensor collection module of the carbon emission monitoring point corresponding to the illegal access request will be prohibited from accessing the data processing network.

4. The garden carbon emission monitoring system based on multi-source sensors according to claim 3 is characterized in that: The process of data processing network correcting and communicating the carbon emission related data collected by the corresponding sensor collection module includes: After the data processing network receives the carbon emission related data collected by the sensor collection modules corresponding to all carbon emission monitoring points, the data processing network performs data correction on all the carbon emission related data. After the data correction is completed, the carbon emission related data of each carbon emission monitoring point is encapsulated into a preset blank data file, thereby generating a corresponding file to be transmitted; The data processing network encrypts and compresses each file to be transmitted, and then converts each file to be transmitted into a corresponding encrypted file stream, and establishes several communication channels between the data processing network and the carbon emission measurement module, each communication channel is used for communication transmission of an encrypted file stream.

5. The garden carbon emission monitoring system based on multi-source sensors according to claim 4 is characterized in that: The process of receiving all carbon emission related data transmitted by the data processing network communication, calculating carbon emissions based on all carbon emission related data, and then obtaining the dynamic carbon emission concentration of each carbon emission monitoring point includes: The carbon emission calculation module receives the encrypted file streams transmitted by the several communication channels in the data processing network, decompresses and decrypts all the encrypted file streams, and then restores the carbon emission related data corresponding to the several carbon emission monitoring points in the garden; Construct a carbon emission calculation model to calculate the carbon emissions of several carbon emission monitoring points. The carbon emission calculation model consists of a calculation data input layer and a calculation result output layer. According to the temperature change data, humidity change data and light change data in the carbon emission related data, a temperature change regression function, a humidity change regression function and a light intensity change regression function are constructed at each carbon emission monitoring point; Construct a Cartesian coordinate system, and construct a carbon dioxide concentration change trend curve on the Cartesian coordinate system according to the carbon dioxide concentration change data; After combining the temperature change regression function, humidity change regression function and light intensity change regression function with the carbon dioxide concentration change trend curve in turn, they are input into the measurement data input layer respectively, and the measurement result output layer outputs the data related to the impact of temperature change, humidity change and light intensity change on carbon dioxide concentration change respectively, and marks them as the first measurement data, the second measurement data and the third measurement data respectively; Different weight coefficients that affect the change in carbon dioxide concentration are set for the first measurement data, the second measurement data, and the third measurement data. The first measurement data, the second measurement data, the third measurement data, and the carbon dioxide concentration change data at each carbon emission monitoring point are used as input data of the measurement data input layer of the carbon emission measurement model. The measurement result output layer outputs the dynamic carbon emission concentration corresponding to each carbon emission monitoring point.

6. The garden carbon emission monitoring system based on multi-source sensors according to claim 5 is characterized in that: The process of analyzing data based on the dynamic carbon emission concentration of each carbon emission monitoring point and then warning of carbon emission monitoring points in abnormal carbon emission situations includes: The dynamic carbon emission concentration of each carbon emission monitoring point is represented by a line graph, which is used to record the dynamic changes of carbon emission concentration at several time points and set the critical emission threshold of carbon emission concentration; All time points when the carbon emission concentration is greater than or equal to the critical emission threshold are marked as abnormal carbon emission nodes, and all time points when the carbon emission concentration is less than the critical emission threshold are marked as normal carbon emission nodes. The abnormal judgment threshold corresponding to distinguishing whether the carbon emission monitoring point is in an abnormal carbon emission situation is set and recorded as μ; The number of abnormal carbon emission nodes and normal carbon emission nodes under the carbon emission monitoring point are respectively denoted as N 异常 and N 正常 , according to N 异常 and N 正常 Get the abnormal point ratio value, record the abnormal point ratio value as Er, then Er=N 异常 / (N 异常 +N 正常 ); When Er>μ, it warns that the current carbon emission monitoring point is in an abnormal carbon emission situation; When Er≤μ, it means that the current carbon emission monitoring point is in a normal carbon emission situation; All carbon emission monitoring points that are in abnormal carbon emission situations are warned, and different warning levels are marked for the carbon emission monitoring points in abnormal carbon emission situations.

7. The garden carbon emission monitoring system based on multi-source sensors according to claim 6 is characterized in that: The process of marking different warning levels for carbon emission monitoring points under abnormal carbon emission conditions includes: Set different level intervals, including a first interval, a second interval, and a third interval, which are denoted as Ω1, Ω2, and Ω3 respectively; When Er∈Ω1, the warning level of the current carbon emission monitoring point is marked as yellow warning, indicating that the current carbon emission concentration is slightly abnormal; When Er∈Ω2, the warning level of the current carbon emission monitoring point is marked as orange warning, indicating that the current carbon emission concentration is moderately abnormal; When Er∈Ω3, the warning level of the current carbon emission monitoring point is marked as red warning, indicating that the current carbon emission concentration is severely abnormal.

8. The garden carbon emission monitoring system based on multi-source sensors according to claim 7 is characterized in that: The process of taking regulatory measures to deal with abnormal carbon emissions includes: According to the warning level corresponding to the carbon emission monitoring point, corresponding processing priorities are set for several carbon emission monitoring points. The processing priorities include the highest priority, the second highest priority and the general priority. The specific relationship between the warning level and the processing priority is as follows: Yellow warning—normal priority; Orange alert—second highest priority; Red alert—highest priority; In the order of highest priority, second highest priority and general priority, regulatory measures are taken for each carbon emission monitoring point in turn. After implementing the corresponding regulatory measures, the dynamic carbon emission concentration of the corresponding carbon emission monitoring point is reduced to the corresponding carbon emission concentration under normal carbon emission circumstances.

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