Green building carbon emission risk supervision, prevention and control system based on big data analysis

Abstract

The invention relates to the technical field of carbon emission supervision, in particular to a green building carbon emission risk supervision, prevention and control system based on big data analysis, and the system comprises a region monitoring module which is used for determining a building region to be subjected to carbon emission supervision, obtaining the carbon emission information in the building region, building an emission model based on the carbon emission information, and obtaining a carbon emission model; marking a plurality of emission points in the emission model, and setting corresponding emission limit information corresponding to the emission points; the rule setting module is used for setting monitoring points corresponding to the emission points in the emission model and establishing an incidence relation between the monitoring points and the control points; the distribution prevention and control module is used for acquiring the actual total carbon emission amount of the emission point, and distributing the carbon emission quota of the emission point corresponding to the actual total carbon emission amount which does not meet the preset carbon emission quota based on the association relationship to obtain a quota distribution result; and power consumption regulation and control are performed on the emission equipment corresponding to the emission point based on the quota distribution result, so that the efficiency of carbon emission supervision can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission supervision, and specifically to a green building carbon emission risk supervision and control system based on big data analysis. Background Art

[0002] Faced with the severe challenge of global climate change, reducing carbon emissions and achieving green development have become a global consensus. As a major energy consumer and carbon emitter, the construction industry's carbon emission regulation and prevention are crucial to achieving global carbon reduction targets. Traditional building carbon emission regulation methods require analyzing and matching the power usage of carbon-emitting equipment. This makes it difficult to dynamically adjust carbon emission quotas based on the actual operation of carbon-emitting equipment, resulting in irrational allocation of carbon emission quotas and affecting prevention and control effectiveness.

[0003] To this end, we propose a green building carbon emission risk supervision and control system based on big data analysis to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a green building carbon emission risk supervision and control system based on big data analysis to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a green building carbon emission risk supervision and control system based on big data analysis, the system comprising: The regional monitoring module is used to determine the building area to be regulated for carbon emissions, obtain carbon emission information within the building area, build an emission model based on the carbon emission information, mark multiple emission points in the emission model, and set corresponding emission limit information for each emission point; A rule setting module is used to set monitoring points corresponding to emission points in the emission model and establish associations between monitoring points and control points, wherein the associations include control points, databases, connection relationships, and movement paths; The allocation and control module is used to obtain the actual total carbon emissions of the emission point, and allocate the carbon emission quota of the emission point corresponding to the actual total carbon emissions that do not meet the preset carbon emission quota based on the correlation relationship to obtain the quota allocation result; based on the quota allocation result, the power consumption of the emission equipment corresponding to the emission point is regulated.

[0006] Preferably, the area monitoring module includes: An acquisition unit is used to acquire carbon emission equipment and corresponding equipment locations within the building area as emission information, and to construct an emission model in three dimensions based on the emission information; A marking unit, used to mark the equipment location of the carbon emission equipment as an emission point in the emission model; The setting unit is configured to set carbon emission limit information corresponding to an emission point based on a total carbon emission quota of a building area, wherein the carbon emission limit information includes a type of carbon emission equipment and a corresponding preset carbon emission quota.

[0007] Preferably, the step of setting monitoring points corresponding to emission points in the emission model and establishing an association relationship between the monitoring points and the control points includes: Configuring a database for the control point, wherein the database includes a shared pool and multiple individual pools, and setting connection relationships among the shared pool, individual pools, control points, and monitoring points; The monitoring points are used as the stop points of the control points, and multiple stop points are connected in pairs to obtain the stop areas; Prioritize the carbon emission equipment, determine the corresponding monitoring points in the stay area based on the priority ranking, and connect them in sequence to obtain the movement path; The control points, database, connection relationship and movement path are used as the association relationship between the monitoring points and the control points.

[0008] Preferably, the control point configuration database includes a shared pool and multiple individual pools, and the step of setting the connection relationship between the shared pool, the individual pool, the control point and the monitoring point includes: Set up a database with a shared pool and multiple separate pools; Establishing first communication channels between the shared pool and multiple individual pools, establishing second communication channels between the individual pools and the monitoring points through the control points, and establishing third communication channels between the control points and the shared pool; A trigger point and corresponding trigger conditions are set on each communication channel, wherein the trigger conditions are used to limit the transmission direction and transmission time point of the communication channel.

[0009] Preferably, the step of prioritizing the carbon emission equipment and determining corresponding monitoring points in the stay area based on the priority ranking and sequentially connecting them to obtain a moving path includes: Obtain the carbon emission difference between the preset carbon emission quota corresponding to the carbon emission equipment and the total carbon emissions; when the carbon emission difference corresponding to the monitoring end of the carbon emission equipment is less than zero, the monitoring point where the total carbon emissions exceed the preset carbon emission quota is regarded as an abnormal monitoring point; If the carbon emission differences corresponding to the monitoring points of all carbon emission equipment are greater than or equal to zero, it is determined that there are no abnormal monitoring points; When there are no abnormal monitoring points in the building area, the carbon emission equipment is prioritized in descending order based on the carbon emission difference; Each time the control point visits a monitoring point, it adjusts the carbon emission quota of the monitoring point and re-prioritizes multiple carbon emission devices other than the current monitoring point; Based on the priority sorting, the monitoring points corresponding to the multiple carbon emission devices are connected in sequence to obtain the target moving path; When there are abnormal monitoring points in the building area, the order in which the control points visit the abnormal monitoring points and other monitoring points is dynamically adjusted to update the current target moving path to obtain the target moving path.

[0010] Preferably, when an abnormal monitoring point exists in the building area, the step of dynamically adjusting the order in which the control point visits the abnormal monitoring point and other monitoring points to update the current target moving path to obtain the target moving path includes: When there are abnormal monitoring points in the building area, obtain the carbon emission devices corresponding to multiple abnormal monitoring points and evaluate the impact of each carbon emission device; The abnormal monitoring points corresponding to multiple carbon emission devices are prioritized based on the descending order of influence strength, and the abnormal monitoring points are scheduled before other monitoring points and connected in sequence to obtain the target moving path.

[0011] Preferably, the specific contents corresponding to the assessment of the impact of each carbon emission device include: Count the number of other carbon emission equipment affected by the target carbon emission equipment, evaluate the importance of the affected carbon emission equipment, and evaluate the impact of the target carbon emission equipment based on the number of equipment and the importance of each affected carbon emission equipment. , the corresponding calculation formula is: ,in, Indicates the number of the downstream carbon emission equipment, Indicates target carbon emission equipment The collection of downstream carbon emission equipment that may be affected by abnormalities, Indicates downstream carbon emission equipment The importance of Indicates target carbon emission equipment When the corresponding monitoring point is abnormal, the downstream carbon emission equipment The rate of change of carbon emissions.

[0012] Preferably, the downstream carbon emission equipment is evaluated Importance The steps include: Real-time acquisition of relevant parameters of downstream carbon emission equipment, including the current time point t, environmental parameters related to equipment carbon emissions, rated power of the carbon emission equipment, and carbon emission coefficient; Analyze the urgency of the use of carbon emission equipment at the current time point , ,in, It is a function that is dynamically adjusted based on factors such as the remaining time of the carbon emission equipment, and returns a value between 0 and 1, indicating the urgency of the equipment demand; Analyze the impact of environmental parameters on equipment carbon emissions and determine the sensitivity of the equipment to different environmental parameters. ,in, Indicates the carbon emission equipment at the time point Environmental sensitivity score to temperature, Indicates a time point Real-time temperature, Indicates the operating temperature of the carbon emission equipment when the carbon emission is the lowest. The standard deviation of temperature sensitivity is expressed, and corresponding environmental sensitivity models are constructed for other environmental parameters, and the overall environmental sensitivity score is obtained by comprehensive analysis. ; Calculate the carbon emission efficiency of the device at the current time point based on real-time environmental parameters and device characteristics. ,in, , indicating that the carbon emission equipment is at the time point carbon emission efficiency, Indicates the carbon emission coefficient corresponding to the carbon emission equipment, Indicates the rated power of the device. Indicates the carbon emission equipment Environmental sensitivity scores of environmental parameters, Indicates the The direct impact factors of environmental parameters on the energy consumption of carbon emission equipment, Indicates the multiplication of the impact of all relevant environmental parameters; the importance of carbon emission equipment is evaluated based on the urgency of equipment demand and environmental sensitivity score. ,in, Indicates the carbon emission equipment at the time point The importance rating of Indicates the maximum carbon emission efficiency of all carbon emission equipment at the current time point, Indicates the urgency weight of the requirement.

[0013] Preferably, the step of allocating the carbon emission quotas of emission points corresponding to the actual total carbon emissions that do not meet the preset carbon emission quotas based on the association relationship to obtain the quota allocation results includes: Determine a carbon emission difference based on the actual total carbon emissions of the emission point and the preset carbon emission quota, and use the carbon emission difference being a positive number or 0 as a trigger condition for transmitting the first communication channel from the shared pool to the individual pool; Using a negative carbon emission difference as a trigger condition for transmitting the first communication channel from the individual pool to the shared pool; Limit the trigger point to start the corresponding transmission direction based on the trigger condition; The control point schedules and allocates the carbon emissions with the same value as the carbon emissions difference among the shared pool, the separate pool and the monitoring point through the second communication channel and the third communication channel based on the transmission direction to obtain the quota allocation result.

[0014] Preferably, the step of regulating the electricity consumption of the carbon emission equipment corresponding to the emission point based on the quota allocation result includes: Based on the quota allocation results, the preset carbon emission quota of each carbon emission device is adjusted to obtain the target carbon emission quota; The target electricity consumption of the carbon emission equipment is determined based on the target carbon emission quota, and the operating status of the carbon emission equipment is regulated based on the target electricity consumption.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By monitoring the use of carbon emission quotas in real time, using control points to move and carry data, and starting the corresponding separate pool according to the location of the control point, the carbon emission quotas in the separate pool are processed, and data transmission or scheduling instructions are automatically triggered when the preset threshold is reached. The carbon emission quotas corresponding to each carbon emission device are allocated and dynamically adjusted in real time, so that the power consumption of each carbon emission device can be regulated according to the actual carbon emission quota of each carbon emission device. There is no need to analyze the power usage between each device, and the power consumption can be regulated directly according to the carbon emission quota, thereby improving the efficiency of carbon emission supervision and improving the prevention and control of carbon emission risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a system structure block diagram of the present invention; Figure 2 It is a structural block diagram of the database of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] Example: See Figures 1 to 2The present invention provides a technical solution for a green building carbon emission risk supervision and control system based on big data analysis: a green building carbon emission risk supervision and control system based on big data analysis, comprising: The regional monitoring module is used to determine the building area to be regulated for carbon emissions, obtain carbon emission information within the building area, build an emission model based on the carbon emission information, mark multiple emission points in the emission model, and set corresponding emission limit information for each emission point; The regional monitoring module includes: an acquisition unit for acquiring carbon emission equipment and corresponding equipment locations within the building area as emission information, and constructing an emission model in three dimensions based on the emission information; a marking unit for marking the equipment locations of carbon emission equipment as emission points in the emission model; and a setting unit for setting carbon emission limit information for the emission points based on the total carbon emission quota of the building area, wherein the carbon emission limit information includes the type of carbon emission equipment and the corresponding preset carbon emission quota; A rule setting module is used to set monitoring points corresponding to emission points in the emission model and establish associations between monitoring points and control points, wherein the associations include control points, databases, connection relationships, and movement paths; In the emission model, monitoring points are set corresponding to the emission points, and the steps of establishing the association relationship between the monitoring points and the control points include: configuring a database for the control points, wherein the database includes a shared pool and multiple separate pools, and setting the connection relationship between the shared pool, the separate pool, the control points and the monitoring points; using the monitoring points as the stay points of the control points, and connecting multiple stay points in pairs to obtain stay areas; prioritizing the carbon emission equipment, and determining the corresponding monitoring points in the stay area based on the priority sorting, and connecting them in sequence to obtain a moving path, and using the control points, the database, the connection relationship and the moving path as the association relationship between the monitoring points and the control points.

[0020] Specifically, a database is configured for each control point, comprising a shared pool and multiple individual pools. The shared pool is used to store excess carbon emission quota information from multiple individual pools. Individual pools, corresponding to different control points, store carbon emission quota data specific to each monitoring point. Monitoring points are used as stopover points, and connections are established between the shared pool, individual pools, control points, and monitoring points. Specifically, data interfaces and network communication technologies are used to connect the shared pool with individual pools, and the individual pools with control points and related monitoring points. This allows for the coordinated scheduling and allocation of carbon emission quotas between the shared pool, individual pools, and monitoring points based on carbon emission quota usage, thereby enabling coordinated scheduling and allocation of carbon emission quotas corresponding to each monitoring point. Multiple stopover points are paired together to form a stopover area. Based on the location information of the monitoring points, adjacent or related monitoring points are connected to form an area encompassing multiple stopover points, i.e., a stopover area. Corresponding monitoring points are determined within the stopover area based on priority and sequentially connected to form a movement path. Corresponding monitoring points are selected within the stopover area according to the device's priority order and sequentially connected to form a movement path. The moving path reflects the monitoring sequence and path of the carbon emission equipment during the emission process, which helps to achieve comprehensive and orderly monitoring of carbon emissions. It can also obtain the increase or decrease of carbon emissions in a short period of time based on the changes in the carbon emissions of the equipment, and make timely allocation of carbon emission quotas. The dynamic and efficient association between monitoring points and control points improves the efficiency of carbon emission monitoring at emission points. The method of establishing the association relationship is flexible and can adapt to emission scenarios of different scales and complexities.

[0021] A database is configured for the control point, wherein the database includes a shared pool and multiple individual pools, and the steps of setting the connection relationship between the shared pool, the individual pools, the control point and the monitoring point include: setting up a database including the shared pool and the multiple individual pools; establishing a first communication channel between the shared pool and the multiple individual pools respectively, establishing a second communication channel between the individual pool and the monitoring point through the control point, and establishing a third communication channel between the control point and the shared pool; setting a trigger point and a corresponding trigger condition on each communication channel, wherein the trigger condition is used to limit the transmission direction and transmission time point of the communication channel.

[0022] A trigger point is a switch set on a corresponding communication channel that controls the transmission direction of the channel. When the corresponding trigger condition is met, the trigger point is activated, thereby starting the corresponding transmission direction. The trigger condition also includes the carbon emissions of the carbon emission device collected by the monitoring point. When the change in carbon emissions exceeds a preset threshold, the priority of the carbon emission device is increased. Synchronization between trigger points means that when the trigger condition activates the trigger point, the two trigger points are activated in the same direction. For example, transmission from a separate pool to a control point and from a control point to a monitoring point indicate the same transmission direction after the trigger point is activated. Transmission from a separate pool to a shared pool and from a monitoring point to a control point indicate the same transmission direction after the trigger is activated. Transmission from a shared pool to a separate pool and from a separate pool to a shared pool indicate the same transmission direction after the trigger is activated. The shared pool is used to store carbon emission quotas from all separate pools that can be allocated to other carbon emission devices. The separate pool is used to store the carbon emission quotas corresponding to each carbon emission device. The control point is responsible for managing and controlling the transmission direction and amount of carbon emission quotas. The monitoring points are used to collect the actual carbon emission quotas of carbon emission equipment and the preset carbon emission quotas; each communication channel has two triggering conditions depending on the transmission direction. For example, the triggering condition of the first communication channel is: when transmitting from a separate pool to a shared pool: when the corresponding triggering condition occurs, there is excess carbon emission quota for the monitoring point corresponding to the separate pool, which can be allocated to other monitoring points, and thus transferred to the shared pool for standby use; when transmitting from a shared pool to a separate pool, the corresponding triggering condition is that the quota corresponding to the monitoring point is insufficient, and it is necessary to retrieve the carbon emission quota from the shared pool and synchronize it to the separate pool; the triggering condition of the second communication channel is: when transmitting from a separate pool to a control point: when the separate pool needs to request control instructions from the control point. Transmission from the control point to the separate pool: when the carbon emission quota of the monitoring point is in excess, the control point needs to send a control instruction to the separate pool to extract the carbon emission quota from the monitoring point; the trigger condition of the third communication channel is: transmission from the control point to the shared pool: when the control point needs to send processed data or updates to the shared pool, transmission from the shared pool to the control point (optional, according to demand): when the shared pool needs to send a data update notification to the control point; build a full database communication system, which includes a shared pool and multiple separate pools, and control the direction of data transmission and the amount of carbon emission quotas through trigger points and trigger conditions. By real-time monitoring of the use of carbon emission quotas and automatically triggering data transmission or scheduling instructions when the preset threshold is reached, the carbon emission quotas corresponding to each carbon emission device are allocated and dynamically adjusted in real time, so that the power consumption of each carbon emission device can be regulated according to the actual carbon emission quota of each carbon emission device, thereby preventing carbon emissions in the building area from exceeding the preset carbon emission quota and improving the prevention and control effect of carbon emission risks.

[0023] The steps of prioritizing carbon emission equipment and determining corresponding monitoring points in the stay area based on the priority sorting and connecting them in sequence to obtain a moving path include: obtaining the carbon emission difference between the preset carbon emission quota corresponding to the carbon emission equipment and the total carbon emissions; when the carbon emission difference corresponding to the monitoring end of the carbon emission equipment is less than zero, the monitoring point whose total carbon emissions exceed the preset carbon emission quota is regarded as an abnormal monitoring point; when the carbon emission differences corresponding to the monitoring points of all carbon emission equipment are greater than or equal to zero, it is determined that there is no abnormal monitoring point; when there is no abnormal monitoring point in the building area, the carbon emission equipment is prioritized in descending order based on the carbon emission difference; each time the control point visits a monitoring point, the carbon emission quota of the monitoring point is adjusted, and the priority of multiple carbon emission equipment other than the current monitoring point is re-sorted; based on the priority sorting, the monitoring points corresponding to multiple carbon emission equipment are connected in sequence to obtain a target moving path; when there is an abnormal monitoring point in the building area, the order in which the control point visits the abnormal monitoring point and other monitoring points is dynamically adjusted to update the current target moving path to obtain the target moving path.

[0024] When there is an abnormal monitoring point in the building area, the order of dynamically adjusting the control point to visit the abnormal monitoring point and other monitoring points to update the current target moving path to obtain the target moving path includes: when there is an abnormal monitoring point in the building area, obtaining the carbon emission equipment corresponding to multiple abnormal monitoring points, and evaluating the impact of each carbon emission equipment, prioritizing the abnormal monitoring points corresponding to the multiple carbon emission equipment in descending order based on the impact strength, scheduling the abnormal monitoring point before other monitoring points and connecting them in sequence to obtain the target moving path.

[0025] Specifically, it is prioritized to determine whether there is an abnormal monitoring point in the moving path. When there is an abnormal monitoring point in the building area, it is determined whether there is only one abnormal monitoring point. If there is only one, the abnormal monitoring point is directly moved to the front of other non-abnormal monitoring points and used as the next stop point of the control point. If there is more than one, the carbon emission equipment corresponding to multiple abnormal monitoring points is obtained, and the impact of the carbon emission equipment corresponding to the abnormal monitoring point on other carbon emission equipment is evaluated. According to the evaluation results, the carbon emission equipment corresponding to the multiple abnormal monitoring points are prioritized. The one with the greatest impact is used as the next stop point of the control point, and the one with the smallest impact is used as the last stop point between the control point and the non-abnormal monitoring point, thereby completing the update of the moving path. After the carbon emission equipment corresponding to the abnormal monitoring point is regulated (the regulation here not only includes the regulation of the preset carbon emission quota corresponding to the carbon emission equipment, but also the regulation of the operating status of the carbon emission equipment based on the preset carbon emission quota, for example, the preset carbon emission quota per unit time corresponding to a certain model of air conditioner is 0.55kgCO2 / h. When the preset carbon emission quota given exceeds this 0.55kg When the CO2 / h is too much, the operating parameters of the air conditioner can be adjusted, such as the set temperature or usage time, etc. A maximum threshold can be preset. When the maximum threshold is exceeded, it means that the carbon emission quota actually allocated to the carbon emission device exceeds the preset carbon emission quota by too much). Then, multiple carbon emission devices are re-evaluated according to the situation where there are no abnormal monitoring points, and a new movement path without abnormal monitoring points is generated. Every time the control point visits a monitoring point, the priority of all carbon emission devices is re-evaluated, and the carbon emission devices are re-prioritized according to the evaluation results to generate a new movement path, which can quickly respond to and handle abnormal situations of carbon emission equipment. For multiple abnormal monitoring points, by obtaining their corresponding carbon emission devices and performing impact strength evaluation, the carbon emission devices can be prioritized according to the evaluation results, so as to allocate supervision resources in a targeted manner and improve supervision efficiency. According to the processing of abnormal monitoring points, the movement path is dynamically adjusted to ensure that the control point can efficiently access all carbon emission equipment that needs to be regulated. This dynamic adjustment mechanism can adapt to the real-time changes in carbon emissions in the building area, improve the flexibility and response speed of supervision, and when dealing with multiple abnormal monitoring points, by evaluating the impact of the carbon emission equipment corresponding to the abnormal monitoring points and prioritizing them according to the evaluation results, it can ensure that the equipment with the greatest impact on the overall carbon emissions is handled first, which helps to optimize the order of scheduling carbon emission quotas for carbon emission equipment and improve the allocation effect of carbon emission quotas.

[0026] The specific contents of evaluating the impact of each carbon emission device include: counting the number of other carbon emission devices affected by the target carbon emission device, evaluating the importance of the affected carbon emission devices, and evaluating the impact of the target carbon emission device based on the number of devices and the importance of each affected carbon emission device. , the corresponding calculation formula is: ,in, Indicates the number of the downstream carbon emission equipment, Indicates target carbon emission equipment The collection of downstream carbon emission equipment that may be affected by abnormalities, Indicates downstream carbon emission equipment The importance of Indicates target carbon emission equipment When the corresponding monitoring point is abnormal, the downstream carbon emission equipment The rate of change of carbon emissions can be quantified as a value between 0 and 1, where 0 means no impact and 1 means no carbon emissions at all or a serious impact on carbon emissions.

[0027] Assess downstream carbon emission equipment Importance The steps include: obtaining relevant parameters of downstream carbon emission equipment in real time, wherein the relevant parameters include the current time point t, environmental parameters related to carbon emission of the equipment, rated power of the carbon emission equipment and carbon emission coefficient; analyzing the urgency of the use demand of the carbon emission equipment at the current time point ,in, It is a function that is dynamically adjusted based on factors such as the remaining time of the carbon emission equipment. It returns a value between 0 and 1, indicating the urgency of the equipment demand (1 is the most urgent), analyzes the impact of environmental parameters on the carbon emission of the equipment, and determines the sensitivity of the equipment to different environmental parameters. ,in, Indicates the carbon emission equipment at the time point Environmental sensitivity score to temperature (between 0 and 1, with 1 being the most sensitive), Indicates a time point Real-time temperature, Indicates the operating temperature of the carbon emission equipment when the carbon emission is the lowest. The standard deviation of temperature sensitivity reflects the rate of increase in carbon emissions when the temperature deviates from the optimal temperature. Similarly, corresponding environmental sensitivity models can be constructed for other environmental parameters (such as humidity, light intensity, wind speed, etc.), and the overall environmental sensitivity score can be obtained by comprehensive analysis. (e.g., by weighted average); calculate the carbon emission efficiency of the device at the current time based on real-time environmental parameters and device characteristics, ,in, Indicates the carbon emission equipment at the time point carbon emission efficiency, Indicates the carbon emission coefficient corresponding to the carbon emission equipment, Indicates the rated power of the device. Indicates the carbon emission equipment Environmental sensitivity scores of environmental parameters, Indicates the The direct impact of environmental parameters on the energy consumption of carbon emission equipment, such as the impact of temperature on energy consumption may not be linear, Indicates the multiplication of the impact of all relevant environmental parameters; the importance of carbon emission equipment is evaluated based on the urgency of equipment demand and environmental sensitivity score. ,in, Indicates the carbon emission equipment at the time point Importance rating (between 0 and 1, with 1 being the most important), Indicates the maximum carbon emission efficiency of all carbon emission equipment at the current time point (used to achieve normalization processing over time), This represents the demand urgency weight, indicating its relative importance in the importance assessment. This weight can be adjusted based on assessment objectives. Based on real-time data, the equipment demand urgency score, environmental sensitivity score, carbon emission efficiency, and importance score are updated regularly (e.g., every minute or every hour). Based on changes in the importance score, the impact of carbon emission equipment is dynamically adjusted over time and in response to environmental changes. For example, a device with a low importance score has a low impact, and the corresponding monitoring point is prioritized lower.

[0028] Specifically, the carbon emission difference The corresponding formula is Indicates the carbon emission threshold. The larger the difference, the more serious the violation. Represents the total carbon emissions corresponding to carbon emission equipment. When a device has a high priority, the monitoring point corresponding to the carbon emission equipment is used as the starting point of the control point's movement path. After the control point processes the carbon emission equipment corresponding to the monitoring point corresponding to the starting point, the device priority of each carbon emission equipment corresponding to the monitoring point is continuously evaluated. The continued evaluation here not only continues after the corresponding starting point, but also performs a priority evaluation of each device at each stop point. The stop point refers to each monitoring point in the stop area, and each monitoring point serves as a stop point for the control point, thereby implementing a real-time dynamic evaluation of the priority index of each carbon emission equipment. The next stop point after the current stop point is not fixed. After the carbon emission equipment at the current stop point is regulated, a priority evaluation is performed to determine the next stop point. The evaluation process is carried out simultaneously with the regulation process, so that the direction of the movement path can be dynamically adjusted according to the carbon emission status of the carbon emission equipment. This can prevent carbon emissions from being monitored along a single movement path and prevent carbon emission equipment from being unable to allocate carbon emission quotas when they are urgently needed, thereby improving the flexibility of carbon emission regulation.

[0029] The allocation control module is used to obtain the actual total carbon emissions of the emission point, allocate the carbon emission quota of the emission point corresponding to the actual total carbon emissions that do not meet the preset carbon emission quota based on the correlation relationship, and obtain the quota allocation result; based on the quota allocation result, the power consumption of the emission equipment corresponding to the emission point is regulated; Based on the association relationship, the carbon emission quota of the emission point corresponding to the actual total carbon emissions that do not meet the preset carbon emission quota is allocated, and the steps of obtaining the quota allocation result include: The carbon emission difference is determined based on the actual total carbon emissions of the emission point and the preset carbon emission quota, and the carbon emission difference is a positive number or 0 as the trigger condition for the first communication channel to be transmitted from the shared pool to the individual pool; the carbon emission difference is a negative number as the trigger condition for the first communication channel to be transmitted from the individual pool to the shared pool; based on the trigger condition, the trigger point is restricted to start the corresponding transmission direction; based on the transmission direction, the control point schedules and allocates the carbon emissions with the same carbon emission difference among the shared pool, the individual pool and the monitoring point through the second communication channel and the third communication channel to obtain the quota allocation result; The steps of regulating the electricity consumption of the carbon emission equipment corresponding to the emission point based on the quota allocation result include: regulating the preset carbon emission quota of each carbon emission equipment based on the quota allocation result to obtain the target carbon emission quota, determining the target electricity consumption of the carbon emission equipment based on the target carbon emission quota, and regulating the operating status of the carbon emission equipment based on the target electricity consumption.

[0030] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0031] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A green building carbon emission risk supervision and control system based on big data analysis is characterized by: include: The regional monitoring module is used to determine the building area to be regulated for carbon emissions, obtain carbon emission information within the building area, build an emission model based on the carbon emission information, mark multiple emission points in the emission model, and set corresponding emission limit information for each emission point; A rule setting module is used to set monitoring points corresponding to emission points in the emission model and establish associations between monitoring points and control points, where the associations include control points, databases, connection relationships, and movement paths. When establishing the associations, the carbon emission equipment corresponding to each monitoring point is prioritized based on the impact of the carbon emission equipment and the importance of the affected carbon emission equipment. Based on the priority ranking results, the movement paths of the control points to each monitoring point are dynamically adjusted; The allocation and control module is used to obtain the actual total carbon emissions of the emission point, and allocate the carbon emission quota of the emission point corresponding to the actual total carbon emissions that do not meet the preset carbon emission quota based on the correlation relationship to obtain the quota allocation result; based on the quota allocation result, the power consumption of the emission equipment corresponding to the emission point is regulated.

2. The green building carbon emission risk supervision and control system based on big data analysis according to claim 1 is characterized by: The regional monitoring module includes: An acquisition unit is used to acquire carbon emission equipment and corresponding equipment locations within the building area as emission information, and to construct an emission model in three dimensions based on the emission information; A marking unit, used to mark the equipment location of the carbon emission equipment as an emission point in the emission model; The setting unit is configured to set carbon emission limit information corresponding to an emission point based on a total carbon emission quota of a building area, wherein the carbon emission limit information includes a type of carbon emission equipment and a corresponding preset carbon emission quota.

3. The green building carbon emission risk supervision and control system based on big data analysis according to claim 1 is characterized by: The step of setting monitoring points corresponding to emission points in the emission model and establishing associations between monitoring points and control points includes: Configuring a database for the control point, wherein the database includes a shared pool and multiple individual pools, and setting connection relationships among the shared pool, individual pools, control points, and monitoring points; The monitoring points are used as the stop points of the control points, and multiple stop points are connected in pairs to obtain the stop areas; Prioritize the carbon emission equipment, determine the corresponding monitoring points in the stay area based on the priority ranking, and connect them in sequence to obtain the movement path; The control points, database, connection relationship and movement path are used as the association relationship between the monitoring points and the control points.

4. The green building carbon emission risk supervision and control system based on big data analysis according to claim 3 is characterized by: The control point configuration database includes a shared pool and multiple individual pools, and the steps of setting the connection relationship between the shared pool, the individual pools, the control points and the monitoring points include: Set up a database with a shared pool and multiple separate pools; Establishing first communication channels between the shared pool and multiple individual pools, establishing second communication channels between the individual pools and the monitoring points through the control points, and establishing third communication channels between the control points and the shared pool; A trigger point and corresponding trigger conditions are set on each communication channel, wherein the trigger conditions are used to limit the transmission direction and transmission time point of the communication channel.

5. The green building carbon emission risk supervision and control system based on big data analysis according to claim 3 is characterized by: The steps of prioritizing the carbon emission equipment and determining corresponding monitoring points in the stay area based on the priority ranking and sequentially connecting them to obtain a moving path include: Obtain the carbon emission difference between the preset carbon emission quota corresponding to the carbon emission equipment and the total carbon emissions; when the carbon emission difference corresponding to the monitoring end of the carbon emission equipment is less than zero, the monitoring point where the total carbon emissions exceed the preset carbon emission quota is regarded as an abnormal monitoring point; If the carbon emission differences corresponding to the monitoring points of all carbon emission equipment are greater than or equal to zero, it is determined that there are no abnormal monitoring points; When there are no abnormal monitoring points in the building area, the carbon emission equipment is prioritized in descending order based on the carbon emission difference; Each time the control point visits a monitoring point, it adjusts the carbon emission quota of the monitoring point and re-prioritizes multiple carbon emission devices other than the current monitoring point; Based on the priority sorting, the monitoring points corresponding to the multiple carbon emission devices are connected in sequence to obtain the target moving path; When there are abnormal monitoring points in the building area, the order in which the control points visit the abnormal monitoring points and other monitoring points is dynamically adjusted to update the current target moving path to obtain the target moving path.

6. The green building carbon emission risk monitoring and control system based on big data analysis according to claim 5 is characterized by: The step of dynamically adjusting the order in which the control point visits the abnormal monitoring point and other monitoring points to update the current target moving path to obtain the target moving path when an abnormal monitoring point exists in the building area includes: When there are abnormal monitoring points in the building area, obtain the carbon emission devices corresponding to multiple abnormal monitoring points and evaluate the impact of each carbon emission device; The abnormal monitoring points corresponding to multiple carbon emission devices are prioritized based on the descending order of influence strength, and the abnormal monitoring points are scheduled before other monitoring points and connected in sequence to obtain the target moving path.

7. The green building carbon emission risk supervision and control system based on big data analysis according to claim 6 is characterized by: The specific contents of the assessment of the impact of each carbon emission device include: Count the number of other carbon emission equipment affected by the target carbon emission equipment, evaluate the importance of the affected carbon emission equipment, and evaluate the impact of the target carbon emission equipment based on the number of equipment and the importance of each affected carbon emission equipment. , the corresponding calculation formula is: ,in, Indicates the number of the downstream carbon emission equipment, Indicates target carbon emission equipment The collection of downstream carbon emission equipment that may be affected by abnormalities, Indicates downstream carbon emission equipment The importance of Indicates target carbon emission equipment When the corresponding monitoring point is abnormal, the downstream carbon emission equipment The rate of change of carbon emissions.

8. The green building carbon emission risk supervision and control system based on big data analysis according to claim 7 is characterized by: Assess downstream carbon emission equipment Importance The steps include: Real-time acquisition of relevant parameters of downstream carbon emission equipment, including the current time point t, environmental parameters related to equipment carbon emissions, rated power of the carbon emission equipment, and carbon emission coefficient; Analyze the urgency of the use of carbon emission equipment at the current time point , ,in, It is a function that is dynamically adjusted based on factors such as the remaining time of the carbon emission equipment, and returns a value between 0 and 1, indicating the urgency of the equipment demand; Analyze the impact of environmental parameters on equipment carbon emissions and determine the sensitivity of the equipment to different environmental parameters. ,in, Indicates the carbon emission equipment at the time point Environmental sensitivity score to temperature, Indicates a time point Real-time temperature, Indicates the operating temperature of the carbon emission equipment when the carbon emission is the lowest. The standard deviation of temperature sensitivity is expressed, and corresponding environmental sensitivity models are constructed for other environmental parameters, and the overall environmental sensitivity score is obtained by comprehensive analysis. ; Calculate the carbon emission efficiency of the device at the current time point based on real-time environmental parameters and device characteristics. ,in, , indicating that the carbon emission equipment is at the time point carbon emission efficiency, Indicates the carbon emission coefficient corresponding to the carbon emission equipment, Indicates the rated power of the device. Indicates the carbon emission equipment Environmental sensitivity scores of environmental parameters, Indicates the The direct impact factors of environmental parameters on the energy consumption of carbon emission equipment, Indicates the multiplication of the impact of all relevant environmental parameters; the importance of carbon emission equipment is evaluated based on the urgency of equipment demand and environmental sensitivity score. ,in, Indicates the carbon emission equipment at the time point The importance rating of Indicates the maximum carbon emission efficiency of all carbon emission equipment at the current time point, Indicates the urgency weight of the requirement.

9. The green building carbon emission risk supervision and control system based on big data analysis according to claim 1 is characterized by: The step of allocating the carbon emission quotas of the emission points corresponding to the actual total carbon emissions that do not meet the preset carbon emission quotas based on the association relationship to obtain the quota allocation results includes: Determine a carbon emission difference based on the actual total carbon emissions of the emission point and the preset carbon emission quota, and use the carbon emission difference being a positive number or 0 as a trigger condition for transmitting the first communication channel from the shared pool to the individual pool; Using a negative carbon emission difference as a trigger condition for transmitting the first communication channel from the individual pool to the shared pool; Limit the trigger point to start the corresponding transmission direction based on the trigger condition; The control point schedules and allocates the carbon emissions with the same value as the carbon emissions difference among the shared pool, the separate pool and the monitoring point through the second communication channel and the third communication channel based on the transmission direction to obtain the quota allocation result.

10. The green building carbon emission risk supervision and control system based on big data analysis according to claim 1 is characterized by: The steps for regulating the electricity consumption of the carbon emission equipment corresponding to the emission point based on the quota allocation result include: Based on the quota allocation results, the preset carbon emission quota of each carbon emission device is adjusted to obtain the target carbon emission quota; The target electricity consumption of the carbon emission equipment is determined based on the target carbon emission quota, and the operating status of the carbon emission equipment is regulated based on the target electricity consumption.

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