Industrial park carbon emission monitoring system and method and readable storage medium

Abstract

The invention belongs to the technical field of industrial park management, and provides an industrial park carbon emission monitoring system and method and a readable storage medium, the industrial park carbon emission monitoring system comprises a plurality of sensors and a plurality of monitoring points arranged in a monitoring area of an industrial park in a one-to-one correspondence manner, the sensors are suitable for detecting gas data of the monitoring points, and the gas data are sent to the sensors; the gas data comprises greenhouse gas concentration, wind speed and wind direction; the signal transmission module is in communication connection with the plurality of sensors; the monitoring platform is in communication connection with the signal transmission module, obtains the gas data through the signal transmission module, calculates greenhouse gas concentration distribution in the monitoring area according to the gas data, obtains the real-time total amount of the greenhouse gas according to the greenhouse gas concentration distribution, and sends the real-time total amount to the server; and obtaining the greenhouse gas emission according to the real-time total amount of the greenhouse gas and the greenhouse gas concentration distribution. By calculating the total amount of the greenhouse gas, the emission amount of the greenhouse gas in the industrial park can be monitored more accurately, and the evaluation precision of the carbon emission is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial park management, and specifically relates to an industrial park carbon emission monitoring system, method and readable storage medium. Background Art

[0002] As a key area of ​​greenhouse gas emissions, the carbon emission management of industrial parks has received increasing attention. However, effective carbon emission management requires accurate monitoring data as support, which requires an efficient and reliable monitoring system. Traditional carbon emission monitoring methods, such as manual sampling and laboratory analysis, are not only costly but also unable to achieve real-time monitoring. In addition, these methods are also limited in spatial coverage and temporal resolution.

[0003] In related technologies, carbon emission monitoring in industrial parks mainly involves collecting and tracking greenhouse gas emissions by deploying monitoring sensors at key monitoring points, and then estimating greenhouse gas emissions based on greenhouse gas emission flow and gas concentration during the monitoring period. This method is simple, convenient, and easy to implement. However, in the actual monitoring process, since industrial parks are not strictly enclosed spaces and are greatly affected by environmental factors, the greenhouse gas monitoring data in the park has large deviations, making the subsequent carbon emission assessment less accurate. Summary of the invention

[0004] In view of this, the present invention provides an industrial park carbon emission monitoring method to solve the problem of low carbon emission assessment accuracy in the prior art.

[0005] In the first aspect, the present invention provides an industrial park carbon emission monitoring system, comprising: a plurality of sensors, corresponding one to one to a plurality of monitoring points within a monitoring area of ​​the industrial park, the sensors being suitable for detecting gas data at the monitoring points, the gas data including greenhouse gas concentration, wind speed and wind direction; a signal transmission module, communicatively connected to the plurality of sensors; a monitoring platform, communicatively connected to the signal transmission module, the monitoring platform acquiring the gas data through the signal transmission module, and calculating the greenhouse gas concentration distribution within the monitoring area based on the gas data, obtaining the real-time total amount of greenhouse gases based on the greenhouse gas concentration distribution, and obtaining the greenhouse gas emissions based on the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0006] In some embodiments, the monitoring area includes a space formed by a park perimeter and a park space height, and the monitoring points are arranged at the park perimeter, the park space height and the discharge port.

[0007] In some embodiments, the park space height includes the half-height position, top position and space height position of the building height within the industrial park.

[0008] In some embodiments, the spatial height position is 1.5 times the height of the highest building in the industrial park.

[0009] In some embodiments, the monitoring points are arranged at a density of at least one monitoring point within a range of 50 meters x 50 meters.

[0010] In a second aspect, the present invention also proposes a method for monitoring carbon emissions in an industrial park, comprising: obtaining gas data, the gas data including greenhouse gas concentration, wind speed and wind direction; calculating the greenhouse gas concentration distribution in the monitoring area based on the gas data; obtaining the real-time total amount of greenhouse gases based on the greenhouse gas concentration distribution; and obtaining greenhouse gas emissions based on the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0011] In some embodiments, obtaining gas data specifically includes: establishing a three-dimensional simulation model of the industrial park; deploying a plurality of monitoring points according to the three-dimensional simulation model; and deploying a sensor at each of the monitoring points, wherein the sensor collects the gas data.

[0012] In some embodiments, the greenhouse gas concentration distribution in the monitoring area is calculated based on the gas data, specifically including: establishing a park fluid mechanics model based on the three-dimensional simulation model; using the gas data as boundary conditions, and calculating the greenhouse gas concentration distribution through the park fluid mechanics model using the finite element method.

[0013] In some embodiments, the greenhouse gas emissions satisfy the following formula: Q(t)=ΔQ(t)+P(t)+C0×V, where P(t) is the greenhouse gas emissions at time t in the industrial park, C0 is the initial concentration of greenhouse gases in the air, and Q(t) is the real-time total amount of greenhouse gases, satisfying the following formula: Where V is the monitoring area, C(x, y, z, t) is the greenhouse gas concentration distribution; ΔQ(t) is the total amount of greenhouse gases that enter and drift out of the park through the park perimeter, satisfying the following formula: In the formula, S is the perimeter area, which is expressed by multiplying the perimeter length of the park by 1.5 times the highest building height in the park. is the unit direction vector on the park perimeter, It is the wind speed and direction.

[0014] In a third aspect, the present invention provides a readable storage medium storing a computer program, which, when executed by a processor, implements any one of the industrial park carbon emission monitoring methods.

[0015] The beneficial effects of the present invention are:

[0016] The present invention calculates the total amount of greenhouse gases, thereby taking into account the greenhouse gas flow problems caused by environmental factors, solving the problem of large data deviation in the existing industrial park carbon emission monitoring process. It can more accurately monitor the greenhouse gas emissions of industrial parks, improve the assessment accuracy of carbon emissions, and provide early warning analysis for park carbon emission monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the following briefly introduces the drawings required for use in the specific implementation or the prior art description. Obviously, the drawings described below are some implementations of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A block diagram of a carbon emission monitoring system for an industrial park according to an embodiment of the present invention;

[0019] Figure 2 A block diagram of a carbon emission monitoring system for an industrial park according to an embodiment of the present invention;

[0020] Figure 3 A flowchart of a method for monitoring carbon emissions in an industrial park according to an embodiment of the present invention;

[0021] Figure 4 A flowchart of a method for monitoring carbon emissions in an industrial park according to another embodiment of the present invention;

[0022] Figure 5 This is a flow chart of a method for monitoring carbon emissions in an industrial park according to another embodiment of the present invention.

[0023] Description of reference numerals:

[0024] 110 - sensor; 120, signal transmission module; 130, monitoring platform; 131, processor; 132 - memory. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0026] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0027] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0029] In related technologies, carbon emission has become one of the global environmental challenges. With the acceleration of industrialization and population growth, the extensive use of fossil fuels has led to a sharp increase in the emission of greenhouse gases such as carbon dioxide, which has had a profound impact on global climate change.

[0030] In the actual monitoring process of carbon emissions in industrial parks, since industrial parks are not strictly confined spaces, they are greatly affected by environmental factors. For example, due to the influence of wind direction and wind speed, the monitored greenhouse gases diffuse rapidly into the park. At the same time, greenhouse gases from outside the industrial park drift rapidly into the park under the action of wind, resulting in large deviations in greenhouse gas monitoring data in the park, affecting subsequent carbon emission assessments. Therefore, it is particularly important to develop a system that can monitor carbon emissions in real time, quickly and accurately.

[0031] To this end, the present invention proposes a monitoring technology based on a sensor network, which conducts real-time monitoring of greenhouse gas concentrations at multiple points in the monitoring park, constructs a dynamic monitoring model for greenhouse gases in the industrial park, and realizes accurate monitoring of greenhouse gas emissions in the industrial park.

[0032] Combine the following Figures 1 to 5 , describing an embodiment of the present invention.

[0033] like Figure 1As shown, according to an embodiment of the invention, a carbon emission monitoring system for an industrial park is provided, comprising: a plurality of sensors 110, which correspond one to one to a plurality of monitoring points within a monitoring area of ​​the industrial park, the sensors 110 being suitable for detecting gas data at the monitoring points, the gas data including greenhouse gas concentration, wind speed and wind direction; a signal transmission module 120, which is communicatively connected to the plurality of sensors 110; a monitoring platform 130, which is communicatively connected to the signal transmission module, the monitoring platform 130 acquires gas data through the signal transmission module 120, and calculates the greenhouse gas concentration distribution within the monitoring area according to the gas data, obtains the real-time total amount of greenhouse gases according to the greenhouse gas concentration distribution, and obtains the greenhouse gas emissions according to the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0034] In this embodiment, the industrial park is divided into monitoring areas, and multiple monitoring points are set in the monitoring areas. The industrial park carbon emission monitoring system includes multiple sensors 110, a signal transmission module 120 and a monitoring platform 130. At least one sensor 110 is set at each monitoring point. The sensor 110 is mainly used to collect greenhouse gas concentration, wind speed and wind direction.

[0035] The multiple sensors 110 form a sensor network, and the sensor network is composed of sensors 110 of the same type.

[0036] The signal transmission module 120 includes an intelligent gateway, which is connected to the sensor 110, and uploads the gas data collected by the sensor 110 to the monitoring platform 130. The monitoring platform 130 calculates the concentration spatial distribution in the monitoring area of ​​the industrial park based on the gas data of each monitoring point, and obtains the current concentration distribution according to the concentration spatial distribution, thereby calculating the total amount of greenhouse gases at that moment, and finally calculating the greenhouse gas emissions. The present invention solves the problem of large data deviation in the existing industrial park carbon emission monitoring process by calculating the total amount of greenhouse gases, thereby taking into account the greenhouse gas flow problem caused by environmental factors, and can more accurately monitor the greenhouse gas emissions of the industrial park, improve the assessment accuracy of carbon emissions, and provide early warning analysis for the park's carbon emission monitoring.

[0037] Furthermore, the monitoring area includes the space formed by the perimeter of the park and the height of the park space, and the monitoring points are set at the perimeter of the park, the height of the park space and the discharge port. Monitoring points must be selected at the perimeter of the park, and the density of deployment is not higher than 50m. By setting sensors at the perimeter of the park and the height of the park space, the accuracy and comprehensiveness of the collected data can be achieved at one point. In particular, sensors are set at important discharge ports, such as gas exhaust ports.

[0038] Furthermore, the park space height includes the half-height position, top position and space height position of the building height within the industrial park, so that the sensor can be set at the half-height position, top position, space height position and discharge port of the building height.

[0039] The spatial height position is 1.5 times the height of the tallest building in the industrial park. The 1.5 times the height of the tallest building in the park is taken as the spatial height of the park, and it is assumed to be within the perimeter height range.

[0040] The density of monitoring points is that there is at least one monitoring point within every 50m x 50m. It is necessary to ensure that the monitoring points within the park are arranged in a grid pattern, and the density of the points needs to ensure that there is one monitoring point within every 50m x 50m.

[0041] The greenhouse gas concentration, wind speed and wind direction data are collected at each monitoring point. At time t, the i-th monitoring point in the park (x i ,y i ,z i ) is C(x,y,z,t), and the wind speed and direction are v(x,y,z,t), where wind speed and direction are vectors with direction.

[0042] The gas data collected by the sensor is uploaded to the monitoring platform by the intelligent gateway. The intelligent gateway reads the data of each sensor node through wireless communication technology, which can adopt NB-IoT or LoRa communication technology.

[0043] like Figure 2 As shown, the monitoring platform 130 of the present invention can be an electronic device, including: at least one processor 131; a memory 132 connected to the at least one processor 131; wherein the memory 132 stores instructions that can be executed by the at least one processor 131, and the instructions are executed by the at least one processor 131 so that the at least one processor 131 can obtain gas data, the gas data including greenhouse gas concentration, wind speed and wind direction; calculate the greenhouse gas concentration distribution in the monitoring area according to the gas data; obtain the real-time total amount of greenhouse gases according to the greenhouse gas concentration distribution; obtain the greenhouse gas emissions according to the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0044] Electronic device is intended to refer to various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers.

[0045] Electronic devices may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the invention described and / or claimed herein.

[0046] like Figure 3 As shown, the present invention also proposes a method for monitoring carbon emissions in an industrial park, comprising the following steps:

[0047] Step S101: Acquire gas data, the gas data including greenhouse gas concentration, wind speed and wind direction;

[0048] Step S103: Calculating the greenhouse gas concentration distribution in the monitoring area according to the gas data;

[0049] Step S105: obtaining the real-time total amount of greenhouse gases according to the greenhouse gas concentration distribution;

[0050] Step S107: Obtain greenhouse gas emissions based on the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0051] The present invention takes greenhouse gas flow problems caused by environmental factors into consideration, and obtains the real-time total amount of greenhouse gases based on the greenhouse gas concentration distribution, thereby solving the problem of large data deviation in the existing industrial park carbon emission monitoring process. It can more accurately monitor the greenhouse gas emissions of industrial parks, improve the assessment accuracy of carbon emissions, and provide early warning analysis for park carbon emission monitoring.

[0052] like Figure 4 As shown, further, based on step S101, obtaining gas data specifically includes the following steps:

[0053] Step S1011: Establishing a three-dimensional simulation model of the industrial park;

[0054] Step S1013: Arrange multiple monitoring points according to the three-dimensional simulation model;

[0055] Step S1015: Deploy sensors at each monitoring point, and the sensors collect gas data.

[0056] In this embodiment, a three-dimensional structural model of the industrial park is established based on the distribution of the building structures in the industrial park. This process can be achieved through three-dimensional laser scanning or three-dimensional oblique photography technology of drones to extract the structural dimensions and location coordinate information of the park buildings. According to the three-dimensional model of the park, the sensor monitoring points are determined and the sensor network is deployed, which can achieve accurate and comprehensive deployment of sensors without omissions, thereby providing support and guarantee for the comprehensiveness and accuracy of the collected gas data. The established three-dimensional spatial model of the park, as well as the collected greenhouse gas concentration information and wind speed and direction data, are used to calculate the concentration distribution in the monitoring area.

[0057] Furthermore, if Figure 5 As shown, based on step S103, the greenhouse gas concentration distribution in the monitoring area is calculated according to the gas data, which specifically includes the following steps:

[0058] Step S1031: establishing a park fluid mechanics model according to the three-dimensional simulation model;

[0059] Step S1033: Using the gas data as boundary conditions, the greenhouse gas concentration distribution is calculated using the finite element method through the park fluid mechanics model.

[0060] In this embodiment, on the monitoring platform, fluid mechanics theory is used to establish a fluid mechanics model within the monitoring area of ​​the park and within a spatial range of 1.5 times the height of the highest building. The monitoring data of each monitoring point is used as a boundary condition, and the finite element method is used to calculate the spatial distribution C(x, y, z, t) of greenhouse gas concentration in the park at time t, which can improve the accuracy of the calculation.

[0061] By deploying sensors around the perimeter and inside the industrial park, real-time online collection of greenhouse gas concentrations, wind speed and direction and other parameters at the monitoring points is achieved, and the monitoring data is uploaded to the monitoring platform through the intelligent gateway. Based on the greenhouse gas concentration data at each monitoring point, the real-time three-dimensional spatial distribution of greenhouse gas concentrations within the park is established, and the total amount of greenhouse gases entering or flowing out of the park due to diffusion drift is taken into account. A dynamic monitoring model for greenhouse gases in the park is constructed, which can more accurately estimate the real-time emissions of greenhouse gases in the park, thereby providing early warning analysis for carbon emission monitoring in the park.

[0062] Furthermore, greenhouse gas emissions satisfy the following formula:

[0063] Q(t)=ΔQ(t)+P(t)+C0×V,

[0064] In the formula, P(t) is the greenhouse gas emissions in the industrial park at time t, C0 is the initial concentration of greenhouse gases in the air, and Q(t) is the real-time total amount of greenhouse gases, which satisfies the following formula:

[0065] Where V is the monitoring area, C(x,y,z,t) is the greenhouse gas concentration distribution;

[0066] ΔQ(t) is the total amount of greenhouse gases that enter and drift out of the park through the park perimeter, satisfying the following formula:

[0067] In the formula, S is the perimeter area, which is expressed by multiplying the perimeter length of the park by 1.5 times the highest building height in the park. is the unit direction vector on the park perimeter, It is the wind speed and direction.

[0068] In this embodiment, the spatial distribution of greenhouse gas concentration C(x, y, z, t) in the park at time t is obtained. At time t, the total amount of greenhouse gas in the park Q(t) can be calculated by formula (1):

[0069] Q(t)=ΔQ(t)+P(t)+C0×V (1)

[0070] The total amount of greenhouse gases entering and drifting out of the park through the park boundary ΔQ(t) is calculated by formula (2):

[0071]

[0072] Formula (2) is used to integrate the vertical area of ​​the park perimeter.

[0073] Q(t)=ΔQ(t)+P(t)+C0×V (3)

[0074] Among them, the emission of greenhouse gases in the park can be obtained by formula (3):

[0075] The carbon emission monitoring system based on the intelligent sensor network of the present invention provides an efficient and real-time monitoring method for greenhouse gas emissions in industrial parks by arranging greenhouse gas monitoring sensors in a grid format, solving the problems of low automation and poor real-time performance in the traditional greenhouse gas emission monitoring process. At the same time, the present invention takes into account the greenhouse gas flow problems caused by environmental factors, so as to more accurately monitor the greenhouse gas emissions of industrial parks, and provide more accurate data support for the dual carbon strategy in real time.

[0076] The present invention also provides a readable storage medium storing a computer program. When the computer program is executed by a processor, the steps of implementing any one of the industrial park carbon emission monitoring methods are as follows:

[0077] Step S101: Acquire gas data, the gas data including greenhouse gas concentration, wind speed and wind direction;

[0078] Step S103: Calculating the greenhouse gas concentration distribution in the monitoring area according to the gas data;

[0079] Step S105: obtaining the real-time total amount of greenhouse gases according to the greenhouse gas concentration distribution;

[0080] Step S107: Obtain greenhouse gas emissions based on the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

[0081] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0082] In the context of the present invention, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or apparatus. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing.

[0083] Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of machine readable storage media may include electrical connections based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0084] Obviously, the above embodiments are merely examples for clear description and are not limitations of the implementation methods.

[0085] For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. However, the obvious changes or modifications derived from this are still within the protection scope of the invention.

Claims

1. An industrial park carbon emission monitoring system, characterized in that: include: A plurality of sensors (110) are disposed in one-to-one correspondence at a plurality of monitoring points within a monitoring area of ​​the industrial park, the sensors (110) being adapted to detect gas data at the monitoring points, the gas data including greenhouse gas concentration, wind speed and wind direction; A signal transmission module (120) is communicatively connected to the plurality of sensors (110); A monitoring platform (130) is communicatively connected to the signal transmission module, wherein the monitoring platform (130) obtains the gas data through the signal transmission module (120), calculates the greenhouse gas concentration distribution in the monitoring area based on the gas data, obtains the real-time total amount of greenhouse gases based on the greenhouse gas concentration distribution, and obtains the greenhouse gas emissions based on the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

2. The industrial park carbon emission monitoring system according to claim 1 is characterized in that: The monitoring area includes a space formed by the park perimeter and the park space height, and the monitoring points are arranged at the park perimeter, the park space height and the discharge port.

3. The industrial park carbon emission monitoring system according to claim 2 is characterized in that: The park space height includes the half-height position, top position and space height position of the building height in the industrial park.

4. The industrial park carbon emission monitoring system according to claim 3 is characterized in that: The spatial height position is 1.5 times the height of the highest building in the industrial park.

5. The industrial park carbon emission monitoring system according to any one of claims 1 to 4, characterized in that: The monitoring points are arranged at a density of at least one monitoring point within a range of 50 meters x 50 meters.

6. A method for monitoring carbon emissions in an industrial park, characterized in that: include: Acquiring gas data, the gas data including greenhouse gas concentration, wind speed and wind direction; Calculate the greenhouse gas concentration distribution in the monitoring area based on the gas data; Obtaining the real-time total amount of greenhouse gases according to the greenhouse gas concentration distribution; The greenhouse gas emissions are obtained according to the real-time total amount of greenhouse gases and the greenhouse gas concentration distribution.

7. The industrial park carbon emission monitoring method according to claim 6, characterized in that: Obtain gas data, including: Establish a 3D simulation model of the industrial park; Arrange a plurality of monitoring points according to the three-dimensional simulation model; A sensor is arranged at each monitoring point, and the sensor collects the gas data.

8. The industrial park carbon emission monitoring method according to claim 7, characterized in that: The greenhouse gas concentration distribution in the monitoring area is calculated based on the gas data, specifically including: Establishing a park fluid mechanics model according to the three-dimensional simulation model; The gas data is used as boundary conditions, and the greenhouse gas concentration distribution is calculated using the finite element method through the park fluid mechanics model.

9. The industrial park carbon emission monitoring method according to any one of claims 6 to 8, characterized in that: The greenhouse gas emissions satisfy the following formula: Q(t)=ΔQ(t)+P(t)+C0×V, In the formula, P(t) is the greenhouse gas emissions at time t in the industrial park, C0 is the initial concentration of greenhouse gases in the air, and Q(t) is the real-time total amount of greenhouse gases, which satisfies the following formula: Where V is the monitoring area, C(x,y,z,t) is the greenhouse gas concentration distribution; ΔQ(t) is the total amount of greenhouse gases that enter and drift out of the park through the park perimeter, satisfying the following formula: In the formula, S is the perimeter area, which is expressed by multiplying the perimeter length of the park by 1.5 times the highest building height in the park. is the unit direction vector on the park perimeter, It is the wind speed and direction.

10. A readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the industrial park carbon emission monitoring method as described in any one of claims 6 to 9 is implemented.

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