Carbon emission collection method, system and equipment based on Internet of Things big data

Abstract

The present invention proposes a carbon emission collection method, system and device based on the Internet of Things big data. The carbon emission collection method based on the Internet of Things big data includes: providing a communication connection between a greenhouse gas monitoring device group and a cockpit, controlling the greenhouse gas monitoring device group to collect data, and monitoring the communication operation quality between the greenhouse gas monitoring device group and the cockpit; receiving the greenhouse gas data and its own communication operation parameters collected by the greenhouse gas monitoring device group in real time, and performing data management, data collection, equipment and real-time data storage and data forwarding on the greenhouse gas monitoring device group according to the greenhouse gas data and its own communication operation parameters; performing operation control of microservice registration, device command interface, device registration and association pairing and data management; providing a rule engine, data open operation, task scheduling control, alarm and message notification management and log management for the carbon service function of the cockpit.

Description

Technical Field

[0001] The present invention proposes a carbon emission collection method, system and equipment based on Internet of Things big data, belonging to the technical field of carbon emission data processing. Background Art

[0002] In order to propose the promotion of new urban construction, the low-carbonization of production and life, the green and low-carbon transformation of industry, construction, transportation and other fields, the circular transformation of industrial parks, the construction of ultra-low energy consumption and near-zero energy consumption buildings are encouraged, and the electrification of public service vehicles is promoted. By 2025, the proportion of urban new energy public transport vehicles will be increased to 72%. Carry out green life creation actions, advocate green travel and green family and green community construction, promote energy-saving products and fully decorated delivery of new residential buildings, and establish a green consumption reward mechanism for residents. Promote the construction of a unified green product certification and labeling system, and establish a green energy consumption certification mechanism. However, in existing technologies, carbon emission monitoring and management often have poor communication quality, resulting in low carbon accounting quality and efficiency. Summary of the invention

[0003] The present invention provides a carbon emission collection method, system and device based on Internet of Things big data to solve the technical problems existing in the above-mentioned prior art. The technical solutions adopted are as follows:

[0004] A carbon emission collection method based on Internet of Things big data, the carbon emission collection method based on Internet of Things big data includes:

[0005] Providing a communication connection between the greenhouse gas monitoring equipment group and the cockpit, controlling the greenhouse gas monitoring equipment group to collect data, and monitoring the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit;

[0006] Receive in real time the greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operating parameters, and perform data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operating parameters;

[0007] Perform microservice registration, device command interface, device registration and association pairing, and data management operation control for each data management service displayed in the cockpit; wherein, the data management service includes device management service, driver management service, state management service, configuration management service, and interface service of the management platform; the management layer is the core part of all microservice interactions, responsible for the management of various configuration data, and provides interface services to the outside world;

[0008] A rule engine, data open operation, task scheduling control, alarm and message notification management and log management are provided for the carbon service functions of the cockpit; wherein, the carbon service functions include carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0009] Further, controlling the greenhouse gas monitoring equipment group to collect data includes:

[0010] The cockpit retrieves the data collection frequency of each device included in the greenhouse gas monitoring equipment group, wherein the greenhouse gas monitoring equipment group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft;

[0011] The cockpit sends the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency;

[0012] Each device included in the greenhouse gas monitoring device group collects data according to its corresponding data collection frequency, and transmits the data information obtained by the data collection back to the cockpit via wireless communication.

[0013] Furthermore, the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit is monitored, including:

[0014] Real-time monitoring of the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0015] Acquire a first communication operation quality index value of the ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device in combination with a first communication operation quality model;

[0016] Real-time monitoring of the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0017] Acquire a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with a first communication operation quality model;

[0018] Real-time monitoring of the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0019] Acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with a first communication operation quality model;

[0020] The structure of the first communication operation quality model is as follows:

[0021]

[0022] Among them, S 01 represents the first communication operation quality index value of the first communication operation quality model; n represents the number of unit times experienced by the communication operation, and the unit time is 1s; B i B represents the communication transmission rate of the communication operation per unit time i; e represents the minimum communication transmission rate required by the communication standard; λ represents the rate evaluation compensation coefficient; P i represents the bandwidth utilization corresponding to the i-th unit time; P0 represents the preset bandwidth utilization reference value; α and ξ represent the first evaluation factor and the second evaluation factor respectively, and the first evaluation factor and the second evaluation factor are obtained by the following formula:

[0023]

[0024]

[0025] Among them, P max and P min Indicates the maximum and minimum bandwidth utilization that occur in n unit time; T g Indicates the average duration of the time interval between the maximum bandwidth utilization and the minimum bandwidth utilization; T z Indicates the total duration of the communication operation;

[0026] Compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively;

[0027] When the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index thresholds, the second communication operation quality index value corresponding to the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold is obtained by using the second communication operation quality model;

[0028] Wherein, the structure of the second communication operation quality model is as follows:

[0029]

[0030] Among them, S 02 represents the second communication operation quality indicator value of the second communication operation quality model; S yrepresents the communication operation quality index threshold; m represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is greater than the bandwidth utilization rate reference value; k represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is less than the bandwidth utilization rate reference value; P zfi represents the bandwidth utilization growth rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P zti represents the communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P xfi represents the bandwidth utilization decrease rate corresponding to the unit time when the i-th actual bandwidth utilization rate is not greater than the bandwidth utilization rate reference value; P xti The communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is not greater than the bandwidth utilization reference value;

[0031] When the second communication operation quality index value is lower than the preset quality evaluation threshold, it is determined that the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold has communication abnormality, and a data collection communication abnormality alarm is issued.

[0032] The carbon emission collection system based on the Internet of Things big data includes:

[0033] A driver layer, used to provide a communication connection between the greenhouse gas monitoring equipment group and the cockpit, control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit;

[0034] The data layer is used to receive the greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operation parameters in real time, and perform data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operation parameters;

[0035] The management layer is used to perform microservice registration, device command interface, device registration and association pairing, and data management operation control for each data management service displayed in the cockpit; wherein, the data management service includes device management service, driver management service, state management service, configuration management service, and interface service of the management platform; the management layer is the core part of all microservice interactions, responsible for the management of various configuration data, and providing interface services to the outside world;

[0036] The application layer is used to provide a rule engine, data open operation, task scheduling control, alarm and message notification management, and log management for the carbon service functions of the cockpit; wherein the carbon service functions include carbon accounting processing, carbon analysis processing, carbon management operation, and carbon consulting display.

[0037] Furthermore, the driving layer includes:

[0038] A data acquisition frequency acquisition module, used for the cockpit to retrieve the data acquisition frequency of each device included in the greenhouse gas monitoring device group, wherein the greenhouse gas monitoring device group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft;

[0039] A data sending module, used for the cockpit to send the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency;

[0040] The signal feedback module is used for each device included in the greenhouse gas monitoring device group to collect data according to its corresponding data collection frequency, and to transmit the data information obtained by the data collection back to the cockpit through wireless communication.

[0041] Furthermore, the driving layer further includes:

[0042] A first real-time monitoring module, used for real-time monitoring of the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0043] A first quality index value acquisition module, configured to acquire a first communication operation quality index value of a ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device in combination with a first communication operation quality model;

[0044] A second real-time monitoring module is used to monitor in real time the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0045] A second quality index value acquisition module, used to acquire a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with the first communication operation quality model;

[0046] A third real-time monitoring module, configured to monitor in real time the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include a communication transmission rate and a bandwidth utilization rate;

[0047] A second quality index value acquisition module, configured to acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with the first communication operation quality model;

[0048] The structure of the first communication operation quality model is as follows:

[0049]

[0050] Among them, S 01 represents the first communication operation quality index value of the first communication operation quality model; n represents the number of unit times experienced by the communication operation, and the unit time is 1s; B i B represents the communication transmission rate of the communication operation per unit time i; e represents the minimum communication transmission rate required by the communication standard; λ represents the rate evaluation compensation coefficient; P i represents the bandwidth utilization corresponding to the i-th unit time; P0 represents the preset bandwidth utilization reference value; α and ξ represent the first evaluation factor and the second evaluation factor respectively, and the first evaluation factor and the second evaluation factor are obtained by the following formula:

[0051]

[0052] Among them, P max and P min Indicates the maximum and minimum bandwidth utilization that occur in n unit time; T g Indicates the average duration of the time interval between the maximum bandwidth utilization and the minimum bandwidth utilization; T z Indicates the total duration of the communication operation;

[0053] An index comparison module, used to compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively;

[0054] A second communication operation quality index value acquisition module is used to use a second communication operation quality index value acquisition module to obtain a second communication operation quality index value corresponding to a device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold value by using a second communication operation quality model when the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index threshold values;

[0055] Wherein, the structure of the second communication operation quality model is as follows:

[0056]

[0057] Among them, S 02 represents the second communication operation quality indicator value of the second communication operation quality model; S yrepresents the communication operation quality index threshold; m represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is greater than the bandwidth utilization rate reference value; k represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is less than the bandwidth utilization rate reference value; P zfi represents the bandwidth utilization growth rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P zti represents the communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P xfi represents the bandwidth utilization decrease rate corresponding to the unit time when the i-th actual bandwidth utilization rate is not greater than the bandwidth utilization rate reference value; P xti The communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is not greater than the bandwidth utilization reference value;

[0058] The communication anomaly determination and alarm module is used to determine that there is a communication anomaly in the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold when the second communication operation quality index value is lower than the preset quality evaluation threshold, and to perform a data collection communication anomaly alarm.

[0059] A carbon emission collection device based on the Internet of Things big data, the carbon emission collection device based on the Internet of Things big data includes a greenhouse gas monitoring device group and a cockpit; wherein a data connection is established between the greenhouse gas monitoring device group and the cockpit via wireless transmission.

[0060] Further, the greenhouse gas monitoring equipment group is used for data collection;

[0061] The cockpit is used to process carbon emission data based on data information collected by the room gas monitoring equipment group; and the carbon emission data processing includes carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0062] Furthermore, the greenhouse gas monitoring equipment group includes ground-based greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft; wherein the ground-based greenhouse gas monitoring equipment is used to detect the concentration of target gases in the atmosphere and obtain greenhouse gas concentration data;

[0063] The satellite remote sensing equipment is used to obtain greenhouse gas concentration distribution data of the atmosphere and land surface through satellite remote sensing;

[0064] The aircraft is used to regularly monitor the greenhouse gas concentration in the atmosphere of the target area and obtain regional greenhouse gas concentration change data information.

[0065] Furthermore, the ground greenhouse gas monitoring equipment and the spacecraft are both provided with carbon dioxide concentration detection equipment, methane concentration detection equipment, nitric oxide concentration detection equipment and carbon monoxide concentration detection equipment.

[0066] Beneficial effects of the present invention:

[0067] The carbon emission collection method, system and device based on the Internet of Things big data proposed in the present invention realize efficient data collection of the greenhouse gas monitoring equipment group by setting and sending the data collection frequency, thereby ensuring the timeliness and accuracy of the data. Receive and process greenhouse gas data and communication operation parameters in real time, and provide data support for the monitoring and analysis of carbon emissions through processes such as data management, collection and warehousing. The microservice architecture makes the system easier to expand and maintain, while improving the flexibility and reliability of the system. Through functions such as rule engines and task scheduling control, intelligent support is provided for carbon service functions, improving the automation level and processing efficiency of the system. Monitor the quality of communication operation in real time, and through alarm and message notification management, timely discover and handle potential problems to ensure the stable operation of the system and the security and reliability of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 is a flow chart of the method of the present invention;

[0069] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0070] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0071] The embodiment of the present invention proposes a carbon emission collection method based on IoT big data, such as Figure 1 As shown, the carbon emission collection method based on IoT big data includes:

[0072] S1. Provide a communication connection between the greenhouse gas monitoring equipment group and the cockpit, control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit;

[0073] S2. receiving greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operation parameters in real time, and performing data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operation parameters;

[0074] S3. Perform microservice registration, device command interface, device registration and association pairing, and data management operation control for each data management service displayed in the cockpit; wherein, the data management service includes device management service, driver management service, state management service, configuration management service, and interface service of the management platform; the management layer is the core part of all microservice interactions, responsible for the management of various configuration data, and provides interface services to the outside world;

[0075] S4. Provide rule engine, data open operation, task scheduling control, alarm and message notification management and log management for the carbon service functions of the cockpit; wherein the carbon service functions include carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0076] Among them, control the greenhouse gas monitoring equipment group to collect data, including:

[0077] S101, the cockpit retrieves the data collection frequency of each device included in the greenhouse gas monitoring equipment group, wherein the greenhouse gas monitoring equipment group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft;

[0078] S102, the cockpit sends the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency;

[0079] S103. Each device included in the greenhouse gas monitoring device group collects data according to its corresponding data collection frequency, and transmits the data information obtained by the data collection back to the cockpit via wireless communication.

[0080] The working principle of the above technical solution is as follows: First, establish a communication connection between the greenhouse gas monitoring equipment group (including ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft) and the cockpit. Control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the equipment group and the cockpit to ensure the stability and reliability of data transmission.

[0081] Specifically, the cockpit retrieves the data collection frequency of each device in the greenhouse gas monitoring equipment group and sends these frequencies to the corresponding devices. Each device collects data according to its data collection frequency, and transmits the collected greenhouse gas data and its own communication operation parameters back to the cockpit via wireless communication.

[0082] The cockpit then receives this data in real time and performs data management, collection, equipment and real-time data storage, and data forwarding.

[0083] Subsequently, the operation control of microservice registration, device command interface, device registration and association pairing, and data management is performed on each data management service displayed in the cockpit. These services include device management, driver management, state management, configuration management, and interface services of the management platform.

[0084] Finally, for the carbon service function of the cockpit, it provides rule engine, data open operation, task scheduling control, alarm and message notification management and log management. The carbon service function covers carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0085] The effects of the above technical solutions are: by setting and sending the data collection frequency, efficient data collection of the greenhouse gas monitoring equipment group is achieved to ensure the timeliness and accuracy of the data. Real-time reception and processing of greenhouse gas data and communication operation parameters, and data support for the monitoring and analysis of carbon emissions through processes such as data management, collection and warehousing. The adoption of microservice architecture makes the system easier to expand and maintain, while improving the flexibility and reliability of the system. Through functions such as rule engines and task scheduling control, intelligent support is provided for carbon service functions, improving the automation level and processing efficiency of the system. Real-time monitoring of communication operation quality, and timely discovery and handling of potential problems through alarm and message notification management, ensure the stable operation of the system and the security and reliability of data.

[0086] In summary, this technical solution uses the Internet of Things big data technology to achieve efficient data collection, real-time data management and intelligent carbon service function support for the greenhouse gas monitoring equipment group, providing a strong technical guarantee for the monitoring, analysis and management of carbon emissions.

[0087] In one embodiment of the present invention, monitoring the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit includes:

[0088] Step 1: monitor the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0089] Step 2: obtaining a first communication operation quality index value of the ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device and the first communication operation quality model;

[0090] Step 3: monitor the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0091] Step 4: acquiring a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with a first communication operation quality model;

[0092] Step 5: monitor the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0093] Step 6: Acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with a first communication operation quality model;

[0094] The structure of the first communication operation quality model is as follows:

[0095]

[0096] Among them, S 01 represents the first communication operation quality index value of the first communication operation quality model; n represents the number of unit times experienced by the communication operation, and the unit time is 1s; B i B represents the communication transmission rate of the communication operation per unit time i; e represents the minimum communication transmission rate required by the communication standard; λ represents the rate evaluation compensation coefficient; P i represents the bandwidth utilization corresponding to the i-th unit time; P0 represents the preset bandwidth utilization reference value; α and ξ represent the first evaluation factor and the second evaluation factor respectively, and the first evaluation factor and the second evaluation factor are obtained by the following formula:

[0097]

[0098] Among them, P max and P min Indicates the maximum and minimum bandwidth utilization that occur in n unit time; T g Indicates the average duration of the time interval between the maximum bandwidth utilization and the minimum bandwidth utilization; T z Indicates the total duration of the communication operation;

[0099] Step 7: Compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device, and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively;

[0100] Step 8: When the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device, and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index thresholds, the second communication operation quality model is used to obtain the second communication operation quality index value corresponding to the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold;

[0101] Wherein, the structure of the second communication operation quality model is as follows:

[0102]

[0103] Among them, S 02 represents the second communication operation quality indicator value of the second communication operation quality model; S y represents the communication operation quality index threshold; m represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is greater than the bandwidth utilization rate reference value; k represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is less than the bandwidth utilization rate reference value; P zfi represents the bandwidth utilization growth rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P zti represents the communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P xfi represents the bandwidth utilization decrease rate corresponding to the unit time when the i-th actual bandwidth utilization rate is not greater than the bandwidth utilization rate reference value; P xti The communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is not greater than the bandwidth utilization reference value;

[0104] Step 9: When the second communication operation quality index value is lower than the preset quality evaluation threshold, it is determined that the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold has communication abnormality, and a data collection communication abnormality alarm is issued.

[0105] The working principle of the above technical solution is: first, the system monitors the communication operation parameters of various types of equipment in the greenhouse gas monitoring equipment group in real time, including communication transmission rate and bandwidth utilization.

[0106] Then, based on the real-time monitored communication operation parameters, combined with the first communication operation quality model, the first communication operation quality index value (S01) of each type of equipment is calculated. This model takes into account the communication transmission rate, bandwidth utilization, rate evaluation compensation coefficient and two evaluation factors (α and ξ), which are calculated based on the maximum value, minimum value and corresponding time interval of bandwidth utilization.

[0107] Subsequently, the calculated first communication operation quality index value is compared with the preset communication operation quality index threshold. If the first communication operation quality index value is lower than the threshold, the system will use the second communication operation quality model to further evaluate the communication operation quality of these devices. This model takes into account the difference between the actual bandwidth utilization and the reference value, the increase or decrease in bandwidth utilization, and the delay rate of communication data transmission. If the second communication operation quality index value is lower than the preset quality evaluation threshold, the system determines that these devices have communication anomalies and triggers the data collection communication anomaly alarm.

[0108] The effect of the above technical solution is: this technical solution realizes real-time monitoring and evaluation of the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit, ensuring the stability and reliability of data transmission. Through the dual evaluation mechanism of the first communication operation quality model and the second communication operation quality model, the communication operation quality of the equipment can be judged more accurately, reducing the possibility of false alarms and missed alarms. The evaluation factors and thresholds in the evaluation model can be adjusted according to actual needs and scenarios to make the system more flexible and adaptable. When a communication anomaly is detected, the system can trigger an alarm in time to help users identify problems in time and take corresponding measures. By continuously monitoring and evaluating the communication operation quality, this technical solution helps to improve the stability and reliability of the entire system and ensure the accuracy and real-time nature of greenhouse gas monitoring data.

[0109] At the same time, real-time monitoring of the communication operation parameters of the greenhouse gas monitoring equipment group (including ground, satellite remote sensing, aircraft, etc.), such as communication transmission rate and bandwidth utilization, can reflect the communication status of the equipment in real time. Through the first communication operation quality model and the second communication operation quality model, the communication operation quality of the equipment is dynamically evaluated, so as to timely discover potential communication problems. In addition, the communication quality is not only evaluated by a single communication transmission rate or bandwidth utilization, but the two and the time factor are combined to form a multi-dimensional evaluation index, so that the evaluation result is more comprehensive and accurate. On the other hand, parameters such as the rate evaluation compensation coefficient, the first evaluation factor and the second evaluation factor in the first communication operation quality model can be adjusted according to actual conditions to adapt to the evaluation requirements of different equipment and different communication environments. When the first communication operation quality index value is lower than the preset communication operation quality index threshold, the second communication operation quality model is used for further evaluation, and the communication anomaly is detected more accurately through indicators such as the specific bandwidth utilization growth / decrease and the communication data transmission delay rate. Once a communication anomaly is detected, the system can immediately issue a data acquisition communication anomaly alarm, notify relevant personnel to handle it in time, and avoid the impact of communication failures on greenhouse gas monitoring. Through continuous communication operation quality evaluation, we can understand the performance of different devices and in different communication environments, and provide data support for optimizing resource allocation and improving communication efficiency.

[0110] In summary, the above steps and formulas have achieved technical effects such as real-time monitoring, dynamic evaluation, multi-dimensional indicators, flexible parameters, anomaly detection and timely alarm in the communication operation performance evaluation of greenhouse gas monitoring equipment, providing a strong technical guarantee for the smooth progress of greenhouse gas monitoring work.

[0111] The embodiment of the present invention proposes a carbon emission collection system based on IoT big data, such as Figure 2 As shown, the carbon emission collection system based on IoT big data includes:

[0112] A driver layer, used to provide a communication connection between the greenhouse gas monitoring equipment group and the cockpit, control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit;

[0113] The data layer is used to receive the greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operation parameters in real time, and perform data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operation parameters;

[0114] The management layer is used to perform microservice registration, device command interface, device registration and association pairing, and data management operation control for each data management service displayed in the cockpit; wherein, the data management service includes device management service, driver management service, state management service, configuration management service, and interface service of the management platform; the management layer is the core part of all microservice interactions, responsible for the management of various configuration data, and providing interface services to the outside world;

[0115] The application layer is used to provide a rule engine, data open operation, task scheduling control, alarm and message notification management, and log management for the carbon service functions of the cockpit; wherein the carbon service functions include carbon accounting processing, carbon analysis processing, carbon management operation, and carbon consulting display.

[0116] Wherein, the driving layer includes:

[0117] A data acquisition frequency acquisition module, used for the cockpit to retrieve the data acquisition frequency of each device included in the greenhouse gas monitoring device group, wherein the greenhouse gas monitoring device group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft;

[0118] A data sending module, used for the cockpit to send the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency;

[0119] The signal feedback module is used for each device included in the greenhouse gas monitoring device group to collect data according to its corresponding data collection frequency, and to transmit the data information obtained by the data collection back to the cockpit through wireless communication.

[0120] The working principle of the above technical solution is as follows: First, establish a communication connection between the greenhouse gas monitoring equipment group (including ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft) and the cockpit. Control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the equipment group and the cockpit to ensure the stability and reliability of data transmission.

[0121] Specifically, the cockpit retrieves the data collection frequency of each device in the greenhouse gas monitoring equipment group and sends these frequencies to the corresponding devices. Each device collects data according to its data collection frequency, and transmits the collected greenhouse gas data and its own communication operation parameters back to the cockpit via wireless communication.

[0122] The cockpit then receives this data in real time and performs data management, collection, equipment and real-time data storage, and data forwarding.

[0123] Subsequently, the operation control of microservice registration, device command interface, device registration and association pairing, and data management is performed on each data management service displayed in the cockpit. These services include device management, driver management, state management, configuration management, and interface services of the management platform.

[0124] Finally, for the carbon service function of the cockpit, it provides rule engine, data open operation, task scheduling control, alarm and message notification management and log management. The carbon service function covers carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0125] The effects of the above technical solutions are: by setting and sending the data collection frequency, efficient data collection of the greenhouse gas monitoring equipment group is achieved to ensure the timeliness and accuracy of the data. Real-time reception and processing of greenhouse gas data and communication operation parameters, and data support for the monitoring and analysis of carbon emissions through processes such as data management, collection and warehousing. The adoption of microservice architecture makes the system easier to expand and maintain, while improving the flexibility and reliability of the system. Through functions such as rule engines and task scheduling control, intelligent support is provided for carbon service functions, improving the automation level and processing efficiency of the system. Real-time monitoring of communication operation quality, and timely discovery and handling of potential problems through alarm and message notification management, ensure the stable operation of the system and the security and reliability of data.

[0126] In summary, this technical solution uses the Internet of Things big data technology to achieve efficient data collection, real-time data management and intelligent carbon service function support for the greenhouse gas monitoring equipment group, providing a strong technical guarantee for the monitoring, analysis and management of carbon emissions.

[0127] In one embodiment of the present invention, the driving layer further includes:

[0128] A first real-time monitoring module, used for real-time monitoring of the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0129] A first quality index value acquisition module, configured to acquire a first communication operation quality index value of a ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device in combination with a first communication operation quality model;

[0130] A second real-time monitoring module is used to monitor in real time the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization;

[0131] A second quality index value acquisition module, used to acquire a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with the first communication operation quality model;

[0132] A third real-time monitoring module, configured to monitor in real time the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include a communication transmission rate and a bandwidth utilization rate;

[0133] A second quality index value acquisition module, configured to acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with the first communication operation quality model;

[0134] The structure of the first communication operation quality model is as follows:

[0135]

[0136] Among them, S 01 represents the first communication operation quality index value of the first communication operation quality model; n represents the number of unit times experienced by the communication operation, and the unit time is 1s; B i B represents the communication transmission rate of the communication operation per unit time i; e represents the minimum communication transmission rate required by the communication standard; λ represents the rate evaluation compensation coefficient; P irepresents the bandwidth utilization corresponding to the i-th unit time; P0 represents the preset bandwidth utilization reference value; α and ξ represent the first evaluation factor and the second evaluation factor respectively, and the first evaluation factor and the second evaluation factor are obtained by the following formula:

[0137]

[0138] Among them, P max and P min Indicates the maximum and minimum bandwidth utilization that occur in n unit time; T g Indicates the average duration of the time interval between the maximum bandwidth utilization and the minimum bandwidth utilization; T z Indicates the total duration of the communication operation;

[0139] An index comparison module, used to compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively;

[0140] A second communication operation quality index value acquisition module is used to use a second communication operation quality index value acquisition module to obtain a second communication operation quality index value corresponding to a device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold value by using a second communication operation quality model when the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index threshold values;

[0141] Wherein, the structure of the second communication operation quality model is as follows:

[0142]

[0143] Among them, S 02 represents the second communication operation quality indicator value of the second communication operation quality model; S y represents the communication operation quality index threshold; m represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is greater than the bandwidth utilization rate reference value; k represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is less than the bandwidth utilization rate reference value; P zfi represents the bandwidth utilization growth rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P zti represents the communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P xfi represents the bandwidth utilization decrease rate corresponding to the unit time when the i-th actual bandwidth utilization rate is not greater than the bandwidth utilization rate reference value; Pxti The communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is not greater than the bandwidth utilization reference value;

[0144] The communication anomaly determination and alarm module is used to determine that there is a communication anomaly in the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold when the second communication operation quality index value is lower than the preset quality evaluation threshold, and to perform a data collection communication anomaly alarm.

[0145] The working principle of the above technical solution is: first, the system monitors the communication operation parameters of various types of equipment in the greenhouse gas monitoring equipment group in real time, including communication transmission rate and bandwidth utilization.

[0146] Then, based on the real-time monitored communication operation parameters, combined with the first communication operation quality model, the first communication operation quality index value (S01) of each type of equipment is calculated. This model takes into account the communication transmission rate, bandwidth utilization, rate evaluation compensation coefficient and two evaluation factors (α and ξ), which are calculated based on the maximum value, minimum value and corresponding time interval of bandwidth utilization.

[0147] Subsequently, the calculated first communication operation quality index value is compared with the preset communication operation quality index threshold. If the first communication operation quality index value is lower than the threshold, the system will use the second communication operation quality model to further evaluate the communication operation quality of these devices. This model takes into account the difference between the actual bandwidth utilization and the reference value, the increase or decrease in bandwidth utilization, and the delay rate of communication data transmission. If the second communication operation quality index value is lower than the preset quality evaluation threshold, the system determines that these devices have communication anomalies and triggers the data collection communication anomaly alarm.

[0148] The effect of the above technical solution is: this technical solution realizes real-time monitoring and evaluation of the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit, ensuring the stability and reliability of data transmission. Through the dual evaluation mechanism of the first communication operation quality model and the second communication operation quality model, the communication operation quality of the equipment can be judged more accurately, reducing the possibility of false alarms and missed alarms. The evaluation factors and thresholds in the evaluation model can be adjusted according to actual needs and scenarios to make the system more flexible and adaptable. When a communication anomaly is detected, the system can trigger an alarm in time to help users identify problems in time and take corresponding measures. By continuously monitoring and evaluating the communication operation quality, this technical solution helps to improve the stability and reliability of the entire system and ensure the accuracy and real-time nature of greenhouse gas monitoring data.

[0149] An embodiment of the present invention proposes a carbon emission collection device based on Internet of Things big data, and the carbon emission collection device based on Internet of Things big data includes a greenhouse gas monitoring device group and a cockpit; wherein, a data connection is established between the greenhouse gas monitoring device group and the cockpit through wireless transmission.

[0150] Wherein, the greenhouse gas monitoring equipment group is used for data collection;

[0151] The cockpit is used to process carbon emission data based on data information collected by the room gas monitoring equipment group; and the carbon emission data processing includes carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0152] The greenhouse gas monitoring equipment group includes ground-based greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft; the ground-based greenhouse gas monitoring equipment is used to detect the concentration of target gases in the atmosphere and obtain greenhouse gas concentration data;

[0153] The satellite remote sensing equipment is used to obtain greenhouse gas concentration distribution data of the atmosphere and land surface through satellite remote sensing;

[0154] The aircraft is used to regularly monitor the greenhouse gas concentration in the atmosphere of the target area and obtain regional greenhouse gas concentration change data information.

[0155] Among them, the ground greenhouse gas monitoring equipment and the spacecraft are both equipped with carbon dioxide concentration detection equipment, methane concentration detection equipment, nitric oxide concentration detection equipment and carbon monoxide concentration detection equipment.

[0156] The working principle of the above technical solution is as follows: First, establish a communication connection between the greenhouse gas monitoring equipment group (including ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft) and the cockpit. Control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the equipment group and the cockpit to ensure the stability and reliability of data transmission.

[0157] Specifically, the cockpit retrieves the data collection frequency of each device in the greenhouse gas monitoring equipment group and sends these frequencies to the corresponding devices. Each device collects data according to its data collection frequency, and transmits the collected greenhouse gas data and its own communication operation parameters back to the cockpit via wireless communication.

[0158] The cockpit then receives this data in real time and performs data management, collection, equipment and real-time data storage, and data forwarding.

[0159] Subsequently, the operation control of microservice registration, device command interface, device registration and association pairing, and data management is performed on each data management service displayed in the cockpit. These services include device management, driver management, state management, configuration management, and interface services of the management platform.

[0160] Finally, for the carbon service function of the cockpit, it provides rule engine, data open operation, task scheduling control, alarm and message notification management and log management. The carbon service function covers carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

[0161] The effects of the above technical solutions are: by setting and sending the data collection frequency, efficient data collection of the greenhouse gas monitoring equipment group is achieved to ensure the timeliness and accuracy of the data. Real-time reception and processing of greenhouse gas data and communication operation parameters, and data support for the monitoring and analysis of carbon emissions through processes such as data management, collection and warehousing. The adoption of microservice architecture makes the system easier to expand and maintain, while improving the flexibility and reliability of the system. Through functions such as rule engines and task scheduling control, intelligent support is provided for carbon service functions, improving the automation level and processing efficiency of the system. Real-time monitoring of communication operation quality, and timely discovery and handling of potential problems through alarm and message notification management, ensure the stable operation of the system and the security and reliability of data.

[0162] In summary, this technical solution uses the Internet of Things big data technology to achieve efficient data collection, real-time data management and intelligent carbon service function support for the greenhouse gas monitoring equipment group, providing a strong technical guarantee for the monitoring, analysis and management of carbon emissions.

[0163] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A carbon emission collection method based on IoT big data, characterized in that: The carbon emission collection method based on IoT big data includes: Providing a communication connection between the greenhouse gas monitoring equipment group and the cockpit, controlling the greenhouse gas monitoring equipment group to collect data, and monitoring the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit; Receive in real time the greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operating parameters, and perform data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operating parameters; Perform operation control of microservice registration, device command interface, device registration and association pairing, and data management for each data management service displayed in the cockpit; Provide rule engine, data open operation, task scheduling control, alarm and message notification management and log management for the carbon service function of the cockpit; the carbon service function includes carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display; The monitoring of the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit includes: Step 1: monitor the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization; Step 2: obtaining a first communication operation quality index value of the ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device and the first communication operation quality model; Step 3: monitor the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization; Step 4: acquiring a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with a first communication operation quality model; Step 5: monitor the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group in real time; wherein the communication operation parameters include communication transmission rate and bandwidth utilization; Step 6: Acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with a first communication operation quality model; The structure of the first communication operation quality model is as follows: Among them, S 01 represents the first communication operation quality index value of the first communication operation quality model; n represents the number of unit times experienced by the communication operation, and the unit time is 1s; B i B represents the communication transmission rate of the communication operation per unit time i; e represents the minimum communication transmission rate required by the communication standard; λ represents the rate evaluation compensation coefficient; P i represents the bandwidth utilization corresponding to the i-th unit time; P0 represents the preset bandwidth utilization reference value; α and ξ represent the first evaluation factor and the second evaluation factor respectively, and the first evaluation factor and the second evaluation factor are obtained by the following formula: Among them, P max and P min Indicates the maximum and minimum bandwidth utilization that occur in n unit time; T g Indicates the average duration of the time interval between the maximum bandwidth utilization and the minimum bandwidth utilization; T z Indicates the total duration of the communication operation; Step 7: Compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device, and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively; Step 8: When the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device, and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index thresholds, the second communication operation quality model is used to obtain the second communication operation quality index value corresponding to the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold; The structure of the second communication operation quality model is as follows: Among them, S 02 represents the second communication operation quality indicator value of the second communication operation quality model; S y represents the communication operation quality index threshold; m represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is greater than the bandwidth utilization rate reference value; k represents the number of unit times during which the actual bandwidth utilization rate during the communication operation is less than the bandwidth utilization rate reference value; P zfi represents the bandwidth utilization growth rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P zti represents the communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is greater than the bandwidth utilization reference value; P xfi represents the bandwidth utilization decrease rate corresponding to the unit time when the i-th actual bandwidth utilization rate is not greater than the bandwidth utilization rate reference value; P xti The communication data transmission delay rate corresponding to the unit time when the i-th actual bandwidth utilization is not greater than the bandwidth utilization reference value; Step 9: When the second communication operation quality index value is lower than the preset quality evaluation threshold, it is determined that the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold has communication abnormality, and a data collection communication abnormality alarm is issued.

2. The carbon emission collection method based on Internet of Things big data according to claim 1 is characterized in that: Control greenhouse gas monitoring equipment group to collect data, including: The cockpit retrieves the data collection frequency of each device included in the greenhouse gas monitoring equipment group, wherein the greenhouse gas monitoring equipment group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft; The cockpit sends the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency; Each device included in the greenhouse gas monitoring device group collects data according to its corresponding data collection frequency, and transmits the data information obtained by the data collection back to the cockpit via wireless communication.

3. A carbon emission collection system based on Internet of Things big data, used to implement the method as claimed in claim 1, characterized in that: The carbon emission collection system based on IoT big data includes: A driver layer, used to provide a communication connection between the greenhouse gas monitoring equipment group and the cockpit, control the greenhouse gas monitoring equipment group to collect data, and monitor the communication operation quality between the greenhouse gas monitoring equipment group and the cockpit; The data layer is used to receive the greenhouse gas data collected by the greenhouse gas monitoring equipment group and its own communication operation parameters in real time, and perform data management, data collection, equipment and real-time data storage, and data forwarding for the greenhouse gas monitoring equipment group according to the greenhouse gas data and its own communication operation parameters; The management layer is used to perform microservice registration, device command interface, device registration and association pairing, and data management operation control for each data management service displayed in the cockpit; The application layer is used to provide a rule engine, data open operation, task scheduling control, alarm and message notification management, and log management for the carbon service functions of the cockpit; wherein the carbon service functions include carbon accounting processing, carbon analysis processing, carbon management operation, and carbon consulting display.

4. The carbon emission collection system based on Internet of Things big data according to claim 3 is characterized in that: The driving layer includes: A data acquisition frequency acquisition module, used for the cockpit to retrieve the data acquisition frequency of each device included in the greenhouse gas monitoring device group, wherein the greenhouse gas monitoring device group includes ground greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft; A data sending module, used for the cockpit to send the data collection frequency of each device included in the greenhouse gas monitoring device group to each device corresponding to the data collection frequency; The signal feedback module is used for each device included in the greenhouse gas monitoring device group to collect data according to its corresponding data collection frequency, and to transmit the data information obtained by the data collection back to the cockpit through wireless communication.

5. The carbon emission collection system based on Internet of Things big data according to claim 3 is characterized in that: The driving layer also includes: A first real-time monitoring module, used for real-time monitoring of the communication operation parameters of the ground greenhouse gas monitoring equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization; A first quality index value acquisition module, configured to acquire a first communication operation quality index value of a ground greenhouse gas monitoring device according to the communication operation parameters of the ground greenhouse gas monitoring device in combination with a first communication operation quality model; A second real-time monitoring module is used to monitor in real time the communication operation parameters of the satellite remote sensing equipment in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include communication transmission rate and bandwidth utilization; A second quality index value acquisition module, used to acquire a first communication operation quality index value of the satellite remote sensing device according to the communication operation parameters of the satellite remote sensing device in combination with the first communication operation quality model; A third real-time monitoring module, configured to monitor in real time the communication operation parameters of the aircraft in the greenhouse gas monitoring equipment group; wherein the communication operation parameters include a communication transmission rate and a bandwidth utilization rate; A second quality index value acquisition module, configured to acquire a first communication operation quality index value of the aircraft according to the communication operation parameters of the aircraft in combination with the first communication operation quality model; An index comparison module, used to compare the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft with their corresponding communication operation quality index thresholds respectively; A second communication operation quality index value acquisition module is used to use a second communication operation quality index value acquisition module to obtain a second communication operation quality index value corresponding to a device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold value by using a second communication operation quality model when the first communication operation quality index value of the ground greenhouse gas monitoring device, the first communication operation quality index value of the satellite remote sensing device and the first communication operation quality index value of the aircraft are lower than their corresponding communication operation quality index threshold values; The communication anomaly determination and alarm module is used to determine that there is a communication anomaly in the device whose first communication operation quality index value is lower than its corresponding communication operation quality index threshold when the second communication operation quality index value is lower than the preset quality evaluation threshold, and to perform a data collection communication anomaly alarm.

6. A carbon emission collection device based on Internet of Things big data, used to implement the method as claimed in claim 1; characterized in that: The carbon emission collection device based on Internet of Things big data includes a greenhouse gas monitoring device group and a cockpit; wherein a data connection is established between the greenhouse gas monitoring device group and the cockpit via wireless transmission.

7. The carbon emission collection device based on Internet of Things big data according to claim 6 is characterized in that: The greenhouse gas monitoring equipment group is used for data collection; The cockpit is used to process carbon emission data based on data information collected by the room gas monitoring equipment group; and the carbon emission data processing includes carbon accounting processing, carbon analysis processing, carbon management operation and carbon consulting display.

8. The carbon emission collection device based on Internet of Things big data according to claim 6 is characterized in that: The greenhouse gas monitoring equipment group includes ground-based greenhouse gas monitoring equipment, satellite remote sensing equipment and aircraft; wherein the ground-based greenhouse gas monitoring equipment is used to detect the concentration of target gases in the atmosphere and obtain greenhouse gas concentration data; The satellite remote sensing equipment is used to obtain greenhouse gas concentration distribution data of the atmosphere and land surface through satellite remote sensing; The aircraft is used to regularly monitor the greenhouse gas concentration in the atmosphere of the target area and obtain regional greenhouse gas concentration change data information.

9. The carbon emission collection device based on Internet of Things big data according to claim 8 is characterized in that: The ground greenhouse gas monitoring equipment and the aircraft are both equipped with carbon dioxide concentration detection equipment, methane concentration detection equipment, nitrogen monoxide concentration detection equipment and carbon monoxide concentration detection equipment.

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