Real-time data information sharing method based on green certificate issuing full-coverage application support

Abstract

The invention discloses a green certificate issuing full-coverage application support-based data information real-time sharing method, relates to the technical field of data sharing, and solves the problem that a large difference exists between a real-time sharing progress and an acquisition progress due to the fact that shared data among a plurality of different acquisition devices is not comprehensively analyzed. According to the method, the sharing rate of the single group of abnormal sharing equipment is fully optimized based on the identified abnormal equipment, and the acquisition frequency is properly reduced preferentially based on the condition of repeated data acquired by the corresponding acquisition equipment, so that the acquisition quantity of the acquisition equipment is ensured to be properly reduced; for multiple groups of abnormal equipment, associated conflict equipment is locked by adopting a pairwise test analysis mode, then sharing processing is performed on the associated conflict equipment by adopting a periodic sharing mode, and for unconfirmed abnormal shared equipment, optimization is performed by adopting an optimization mode of a sharing rate of a single group of abnormal shared equipment, so that a better real-time sharing effect is achieved. The overall treatment effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data sharing, and specifically to a method for real-time sharing of data information based on full coverage application support for green certificate issuance. Background Art

[0002] In the application scenario of full coverage of the issuance of green certificates (renewable energy green electricity certificates), a large amount of data information is involved, including basic information of renewable energy power generation projects (such as project name, geographical location, installed capacity, etc.), power generation data (power generation, power generation time, etc.), environmental benefit data (such as carbon dioxide emission reduction, etc.) and issuance and certification information (green certificate number, issuance time, etc.).

[0003] The goal is to achieve real-time, accurate and secure sharing of this data among different participants (power generation companies, regulatory agencies, trading platforms, electricity users, etc.) to improve the efficiency of green certificate issuance and trading and promote the consumption and market development of renewable energy.

[0004] The collected data associated with its green certificate issuance full coverage application support needs to consider the corresponding collection process and sharing process in the actual sharing process. If the sharing rate is slow, it will cause excessive caching of the corresponding collected data. In the real-time sharing process, the conflicts between the protocols of the devices will simultaneously affect the real-time sharing process. As the shared data between multiple different collection devices are not comprehensively analyzed, there is a large difference between the real-time sharing progress and the collection progress. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a real-time data information sharing method based on the full coverage application support of green certificate issuance, which solves the problem that the shared data between multiple different collection devices are not comprehensively analyzed, resulting in a large difference between the real-time sharing progress and the collection progress.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a real-time data information sharing method based on green certificate issuance full coverage application support, comprising the following steps: Step 1: Limit the relevant monitoring period to conduct data sharing monitoring on the collection equipment associated with the green certificate issuance full coverage application support. Based on the collection volume associated with the corresponding collection equipment per unit time and the data sharing volume associated with the unit time, identify whether the corresponding collection equipment has abnormal rate in the real-time sharing stage, and lock the abnormal sharing equipment based on the identification results. The specific sub-steps are: S11. Define a relevant monitoring period T, where T is a preset value, and its specific value is determined by the operator based on experience. Confirm the data of the collection volume per unit time associated with the monitoring period T, and generate a collection volume change curve based on the confirmed data. The horizontal coordinate axis of the collection volume change curve is the timeline, and the vertical coordinate axis is the collection volume. S12, generating a sharing amount change curve based on the data sharing amount associated per unit time in the corresponding monitoring period T; S13, placing the shared amount change curve and the collected amount change curve in the same two-dimensional coordinate system, connecting the endpoints of the two change curves with line segments, locking the relevant area between the two groups of change curves, marking the relevant area where the shared amount change curve is above the collected amount change curve as the secondary area, marking the relevant area where the shared amount change curve is below the collected amount change curve as the primary area, marking the area of ​​the primary area as M1, and marking the area of ​​the secondary area as M2; S14, using Cz=M1-M2 to confirm the area difference Cz of the main area and the secondary area, and checking the area difference Cz with the preset value Y1. If Cz>Y1, the acquisition device is calibrated as an abnormal shared device. If Cz≤Y1, no calibration is performed; Step 2: Based on the abnormal shared devices calibrated in the corresponding monitoring period, identify the specific number of abnormal shared devices. If there is only one group of abnormal shared devices, directly perform data repetition rate analysis on the abnormal shared devices and optimize the sharing rate. If there are multiple groups of abnormal shared devices, execute step 3, and the specific sub-steps are as follows: S21, extracting the data shared by the abnormal sharing device, and marking the adjacent moments where repeated data appear as repeated moments from the extracted multiple sets of data, and if repeated moments appear successively, integrating the multiple sets of repeated moments that appear successively into a complete repeated moment; S22, according to the confirmed repetition time, determine the associated duration between the corresponding repetition times, and mark it as S i , identify the number of occurrences of the corresponding association duration P i , where i represents different association durations, using: D i =S i ×C1+P i ×C2 determines its associated selected value D i , where C1 and C2 are both preset fixed coefficient factors, and C1<C2; S23, based on different association selection values ​​D associated with different association durations i , D i The associated duration corresponding to max is marked as the value to be processed; S24, reducing the acquisition frequency of the abnormal shared device, gradually reducing it from the originally set acquisition frequency value to the pending value, and identifying the correlation difference between the acquisition rate and the sharing rate during the reduction process, where the correlation difference = acquisition rate - sharing rate, reducing the acquisition frequency until the correlation difference ≤ Y2, and keeping the current acquisition frequency unchanged, where Y2 is a preset value. If the acquisition frequency is reduced to the same pending value and still cannot satisfy the correlation difference ≤ Y2, then the transmission bandwidth of the abnormal shared device is increased until the correlation difference ≤ Y2, and the acquisition rate and the sharing rate are both confirmed in real time, which is consistent with the corresponding reduction process; Step 3: Based on the confirmed multiple groups of abnormal shared devices, limit the microcycle, debug the multiple groups of abnormal shared devices in pairs within the microcycle, identify whether there is a protocol conflict between the corresponding abnormal shared devices, if so, mark the corresponding two groups of abnormal shared devices as associated conflicting devices, if not, do not perform any marking, the specific sub-steps are: S31, determining a corresponding micro-cycle, wherein the micro-cycle is a preset cycle, within which two groups of devices are randomly selected from multiple groups of abnormally shared devices for real-time sharing, and the acquisition rates and sharing rates of the two groups of devices are monitored in real time, and their associated difference is confirmed in real time, wherein the associated difference = acquisition rate - sharing rate, and the shared rate data segment with the associated difference > Y2 is determined, wherein Y2 is a preset value; S32, analyzing the shared rate data segments determined by the two groups of devices: confirming the trend of the shared rate data segments that belong to the same period, marking the data segments with opposite numerical trend from the two groups of shared rate data segments, extracting the associated time period and marking it as the reverse time period; S33, confirm the total duration of several reverse time periods and mark it as Zz, then identify the total duration of the microcycle and mark it as Zs, use Zz÷Zs=Zb to confirm the proportion value Zb of the reverse time period, and check the proportion value Zb with the preset value Y3: if Zb>Y3, mark the two groups of equipment as associated conflicting equipment, if Zb≤Y3, no marking is performed; S34, using the same method as steps S31-S33 to specifically confirm the associated conflicting devices for the other two groups of devices that are not shared in real time; Step 4: Based on the confirmed associated conflicting devices, the associated conflicting devices are shared in a periodic sharing manner. For the unconfirmed abnormal shared devices, the same method of optimizing the sharing rate of a single group of abnormal shared devices in step 2 is used to perform associated processing; the specific sub-steps are: S41, based on the confirmed associated conflicting devices, when executing the data sharing monitoring process, data sharing is performed in a divided monitoring cycle manner, with one group of associated conflicting devices being preferentially shared in one monitoring cycle, and then another group of associated conflicting devices being shared in the next monitoring cycle, and the two groups of associated conflicting devices not being shared in the same monitoring cycle; S42, identifying the transmission bandwidth Dk of the transmission channel shared by the associated conflicting devices, and adjusting the transmission bandwidth Dk to 2Dk; S43: For other abnormal shared devices that are not associated conflicting devices, the sharing process is optimized in the same manner as steps S21 to S24.

[0007] The present invention provides a real-time data information sharing method based on green certificate issuance full coverage application support. Compared with the prior art, it has the following beneficial effects: The present invention performs correlation analysis on the acquisition rates and shared rates of different acquisition devices, determines the change curves related to the corresponding rates, and performs the same coordinate system analysis on the change curves. It can identify whether the acquisition device has related abnormalities from the two change curves, and can quickly identify abnormal devices and perform related processing. Subsequently, based on the identified abnormal devices, the sharing rate of a single group of abnormal shared devices is fully optimized. Based on the situation of duplicate data collected by the corresponding collection device, the collection frequency is appropriately reduced to ensure that the collection volume of the collection device is appropriately reduced, thereby reducing the sharing volume. Subsequently, the bandwidth is increased so that the data collected by the corresponding collection device can be shared in real time, thereby improving the overall effect of data sharing. For multiple groups of abnormal devices, the method of pairwise testing and analysis is used to lock the associated conflicting devices, and then the associated conflicting devices are shared by using a periodic sharing method. For unconfirmed abnormal shared devices, the sharing rate optimization method of a single group of abnormal shared devices is used to optimize them to achieve better real-time sharing effects and improve the overall processing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 Schematic diagram for determining the relevant areas of the present invention. DETAILED DESCRIPTION

[0009] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0010] First embodiment See also Figure 1 This application provides a real-time data information sharing method based on green certificate issuance full coverage application support, including the following steps: Step 1. Limit the relevant monitoring period to conduct data sharing monitoring on the collection equipment associated with the full coverage application support for green certificate issuance. Based on the collection volume associated with the corresponding collection equipment per unit time and the data sharing volume associated with the unit time, identify whether the corresponding collection equipment has abnormal rate in the real-time sharing stage, and lock the abnormal sharing equipment based on the identification result. Specifically, in the application support process, it is necessary to associate relevant data from different sources, including basic information of renewable energy power generation projects (such as project name, geographical location, installed capacity, etc.), power generation data (power generation, power generation time, etc.), environmental benefit data (such as carbon dioxide emission reduction, etc.) and issuance certification information (green certificate number, issuance time, etc.). Different collection equipment is required for data collection and acquisition for relevant data from different sources. After completing data collection, the collection equipment also needs to share data to assess whether its equipment is sharing abnormally. Among them, the specific sub-steps for locking abnormal sharing equipment are: S11. Define a relevant monitoring period T, where T is a preset value, and its specific value is determined by the operator based on experience. Confirm the data of the collection volume per unit time associated with the monitoring period T, and generate a collection volume change curve based on the confirmed data. The horizontal coordinate axis of the collection volume change curve is the timeline, and the vertical coordinate axis is the collection volume. S12, generating a sharing amount change curve based on the data sharing amount associated per unit time in the corresponding monitoring period T; S13, placing the shared amount change curve and the collected amount change curve in the same two-dimensional coordinate system (since the time lines associated with the two curves are the same, the two curves can be combined and placed in the same coordinate system), connecting the endpoints of the two change curves with line segments, locking the relevant area between the two groups of change curves (that is, the area between the two curves, based on the corresponding connecting line segments, the corresponding curve area can be locked), marking the relevant area of ​​the shared amount change curve above the collected amount change curve as the secondary area, marking the relevant area of ​​the shared amount change curve below the collected amount change curve as the primary area, marking the area area of ​​the primary area as M1, and marking the area area of ​​the secondary area as M2; S14, using Cz=M1-M2 to confirm the area difference Cz between the main area and the secondary area, and checking the area difference Cz with the preset value Y1. If Cz≤Y1, no calibration is performed. If Cz>Y1, the acquisition device is calibrated as an abnormal sharing device. Specifically, when the acquisition device is performing data acquisition, it collects data according to the set frequency to obtain corresponding collection data. However, when the acquisition device is performing data sharing, the sharing rate will be slowed down due to the transmission protocol and other abnormal conditions, causing the corresponding acquisition device to be calibrated as a sequential sharing device, which will cause the data of the corresponding acquisition device to be over-cached. Therefore, it is necessary to optimize the real-time sharing rate of such devices. Combination Figure 2 , the collection volume change curve and the corresponding shared volume change curve are combined in the two-dimensional coordinate system, and connecting line segments are constructed at the endpoints. Based on the intersection between the two curves, the corresponding main area (the relevant area where the shared volume change curve is located above the collection volume change curve) can be locked, and the corresponding sub-area A and sub-area B are also included. Sub-area A and sub-area B both belong to the sub-area, so the corresponding area can be confirmed, so as to confirm the abnormal shared equipment; Step 2: Based on the abnormal shared devices calibrated in the corresponding monitoring period, identify the specific number of abnormal shared devices. If there is only one group of abnormal shared devices, directly perform data repetition rate analysis on the abnormal shared devices and optimize the sharing rate. If there are multiple groups of abnormal shared devices, execute step 3, where the specific sub-steps for optimizing the sharing rate of the abnormal shared devices are: S21, extracting the data shared by the abnormal sharing device, and marking the adjacent moments where repeated data appear as repeated moments from the extracted data groups. If repeated moments appear successively, the multiple groups of repeated moments that appear successively are integrated into a complete repeated moment. For example, there are five moments, namely 1, 2, 3, 4, and 5, wherein the data corresponding to the five moments are respectively: A, B, B, B, and C. Among them, moment 2 and moment 3 are adjacent moments, and the data are repeated data, so moment 2 and moment 3 belong to repeated moments, and similarly moment 3 and moment 4 also belong to repeated moments. Then, according to this moment sequence, moment 2, moment 3, and moment 4 belong to a complete repeated moment. S22. According to the confirmed repetitive moments, determine the associated duration between the corresponding repetitive moments (that is, the time length between the corresponding moments, such as moments 2, 3, and 4 are repetitive moments, and their associated duration is 2 time lengths, that is, one time length between 2 and 3, and one time length between 3 and 4), and mark it as S i , identify the frequency P of the corresponding associated duration i , where i represents different association durations, (its Pi That is, the total number of occurrences of the corresponding associated duration), using: D i =S i ×C1+P i ×C2 determines its associated selected value D i , where C1 and C2 are preset fixed coefficient factors, whose specific values ​​are determined by the operator based on experience, and C1<C2; S23, based on different association selection values ​​D associated with different association durations i , D i The associated duration corresponding to max is calibrated as the pending value (this pending value is definitely higher than the acquisition frequency of the acquisition device because it is determined by the duration between repeated data); S24, reduce the acquisition frequency of the abnormal shared device from the originally set acquisition frequency value to the pending value (it may be once per second before, and the pending value determined now is 3, so it is gradually reduced from once per second to once per 3 seconds), and identify the correlation difference between the acquisition rate and the sharing rate during the reduction process, where the correlation difference = acquisition rate - sharing rate, reduce the acquisition frequency until the correlation difference ≤ Y2, and keep the current acquisition frequency unchanged, where Y2 is a preset value, and its specific value is determined by the operator based on experience. If the acquisition frequency is reduced to the same as the pending value and still cannot meet the correlation difference ≤ Y2, then increase the transmission bandwidth of the abnormal shared device until the correlation difference ≤ Y2, and the acquisition rate and sharing rate are both confirmed in real time, which is consistent with the corresponding reduction process; Specifically, by adopting this method, the sharing rate of a single group of abnormal shared devices can be effectively optimized. The collection frequency can be appropriately reduced based on the situation of duplicate data collected by the corresponding collection device to ensure that the collection volume of the collection device is appropriately reduced, thereby reducing the sharing volume. Subsequently, the bandwidth can be increased so that the data collected by the corresponding collection device can be processed in real time and shared, thereby improving the overall effect of data sharing.

[0011] Step 3: Based on the confirmed multiple groups of abnormal shared devices, a microcycle is defined, and multiple groups of abnormal shared devices are debugged in pairs within the microcycle to identify whether there is a protocol conflict between the corresponding abnormal shared devices. If so, the corresponding two groups of abnormal shared devices are marked as associated conflicting devices. If not, no marking is performed. The specific sub-steps of identifying associated conflicting devices are as follows: S31, determine the corresponding micro cycle, the micro cycle is a preset cycle, and its specific value is formulated by the operator based on experience. In this micro cycle, two groups of equipment are randomly selected from multiple groups of abnormal sharing equipment for real-time sharing, and the acquisition rate and sharing rate of the two groups of equipment are monitored in real time, and their associated difference is confirmed in real time, where the associated difference = acquisition rate - sharing rate, and the shared rate data segment with the associated difference > Y2 is determined, where Y2 is a preset value. Specifically, the determined shared rate data segment is a data curve segment associated with the substandard shared rate, and the corresponding shared rate in the data curve segment changes with the timeline; S32, analyzing the shared rate data segments determined by the two groups of devices: confirming the trend of the shared rate data segments that belong to the same period, marking the data segments with opposite numerical trend from the two groups of shared rate data segments, extracting the associated time period and marking it as the reverse time period; S33, confirm the total duration of several reverse time periods and mark it as Zz, then identify the total duration of the microcycle and mark it as Zs, use Zz÷Zs=Zb to confirm the proportion value Zb of the reverse time period, and check the proportion value Zb with the preset value Y3: if Zb>Y3, mark the two groups of equipment as associated conflicting equipment, if Zb≤Y3, no calibration is performed, wherein the specific value of Y3 is determined by the operator based on experience; S34, using the same method as steps S31-S33 to specifically confirm the associated conflicting devices for the other two groups of devices that are not shared in real time, for example: it is proposed that there are three groups of multiple abnormal shared devices, namely A, B and C, then A and B will perform a set of test processes, the time of this test process is a set of micro cycles, and B and C will also perform a set of test processes, and A and C will also perform a set of test processes. After the multiple groups of abnormal shared devices are confirmed, three sets of micro cycles need to be executed to complete the corresponding confirmation process; Step 4: Based on the confirmed associated conflicting devices, the associated conflicting devices are shared in a periodic sharing manner. For the unconfirmed abnormal shared devices, the same method of optimizing the sharing rate of a single group of abnormal shared devices in step 2 is used to perform associated processing. The specific sub-steps of sharing the associated conflicting devices in a periodic sharing manner are as follows: S41, based on the confirmed associated conflicting devices, when executing the data sharing monitoring process, data sharing is performed in a divided monitoring cycle manner, with one group of associated conflicting devices being preferentially shared in one monitoring cycle, and then another group of associated conflicting devices being shared in the next monitoring cycle, and the two groups of associated conflicting devices not being shared in the same monitoring cycle; S42, identifying the transmission bandwidth Dk of the transmission channel shared by the associated conflicting devices, and adjusting the transmission bandwidth Dk to 2Dk (because the corresponding associated conflicting devices share data in one set of monitoring cycles, and do not share data in another set of monitoring cycles, it is necessary to share the data collected in the two monitoring cycles in one set of monitoring cycles, so it is necessary to adjust the corresponding transmission bandwidth to ensure the corresponding sharing rate); S43: For other abnormal shared devices that are not associated conflicting devices, the sharing process is optimized in the same manner as steps S21 to S24 to improve the sharing rate.

[0012] Some of the data in the above formulas are numerically calculated by taking their dimensions. At the same time, the contents not described in detail in this specification belong to the existing technologies well known to those skilled in the art.

[0013] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A real-time data information sharing method based on green certificate issuance full coverage application support, characterized in that: The following steps are involved: Step 1: Limit the relevant monitoring period to conduct data sharing monitoring on the collection equipment associated with the green certificate issuance full coverage application support, and identify whether the corresponding collection equipment has abnormal speed in the real-time sharing stage based on the collection volume associated with the corresponding collection equipment per unit time and the data sharing volume associated with the corresponding collection equipment per unit time, and lock the abnormal sharing equipment based on the identification result; Step 2: Based on the abnormal shared devices calibrated in the corresponding monitoring period, identify the specific number of abnormal shared devices. If there is only one group of abnormal shared devices, directly perform data repetition rate analysis on the abnormal shared devices and optimize the sharing rate. If there are multiple groups of abnormal shared devices, execute step 3. Step 3: Based on the confirmed multiple groups of abnormal shared devices, a microcycle is defined, and multiple groups of abnormal shared devices are debugged in pairs within the microcycle to identify whether there is a protocol conflict between the corresponding abnormal shared devices. If so, the corresponding two groups of abnormal shared devices are marked as associated conflicting devices. If not, no calibration is performed; Step 4: Based on the confirmed associated conflicting devices, the associated conflicting devices are shared in a periodic sharing manner. For the unconfirmed abnormal shared devices, the same method of optimizing the sharing rate for a single group of abnormal shared devices in step 2 is used to perform associated processing.

2. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 1 is characterized in that: In the step 1, the specific sub-steps of locking the abnormal shared device are: S11. Define a relevant monitoring period T, where T is a preset value, and its specific value is determined by the operator based on experience. Confirm the data of the collection volume per unit time associated with the monitoring period T, and generate a collection volume change curve based on the confirmed data. The horizontal coordinate axis of the collection volume change curve is the timeline, and the vertical coordinate axis is the collection volume. S12, generating a sharing amount change curve based on the data sharing amount associated per unit time in the corresponding monitoring period T; S13, placing the shared amount change curve and the collected amount change curve in the same two-dimensional coordinate system, connecting the endpoints of the two change curves with line segments, locking the relevant area between the two groups of change curves, marking the relevant area where the shared amount change curve is above the collected amount change curve as the secondary area, marking the relevant area where the shared amount change curve is below the collected amount change curve as the primary area, marking the area of ​​the primary area as M1, and marking the area of ​​the secondary area as M2; S14, using Cz=M1-M2 to confirm the area difference Cz between the main area and the secondary area, and comparing the area difference Cz with the preset value Y1. If Cz>Y1, the acquisition device is marked as an abnormal shared device.

3. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 2 is characterized in that: In the step S14, if Cz≤Y1, no calibration is performed.

4. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 1 is characterized in that: In step 2, the specific sub-steps for optimizing the sharing rate of the abnormal shared device are: S21, extracting the data shared by the abnormal sharing device, and marking the adjacent moments where repeated data appear as repeated moments from the extracted multiple sets of data, and if repeated moments appear successively, integrating the multiple sets of repeated moments that appear successively into a complete repeated moment; S22, according to the confirmed repetition time, determine the associated duration between the corresponding repetition times, and mark it as S i , identify the number of occurrences of the corresponding association duration P i , where i represents different association durations, using: D i =S i ×C1+P i ×C2 determines its associated selected value D i , where C1 and C2 are both preset fixed coefficient factors, and C1<C2; S23, based on different association selection values ​​D associated with different association durations i , D i The associated duration corresponding to max is marked as the value to be processed; S24. Reduce the acquisition frequency of the abnormal shared device from the originally set acquisition frequency value to the pending value, and identify the correlation difference between the acquisition rate and the sharing rate during the reduction process, where the correlation difference = acquisition rate - sharing rate. Reduce the acquisition frequency until the correlation difference ≤ Y2, and keep the current acquisition frequency unchanged, where Y2 is a preset value. If the acquisition frequency is reduced to the same as the pending value and still cannot meet the correlation difference ≤ Y2, then increase the transmission bandwidth of the abnormal shared device until the correlation difference ≤ Y2. Both the acquisition rate and the sharing rate are confirmed in real time, which is consistent with the corresponding reduction process.

5. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 1 is characterized in that: In step 3, the specific sub-steps of identifying the associated conflicting devices are: S31, determining a corresponding micro-cycle, wherein the micro-cycle is a preset cycle, within which two groups of devices are randomly selected from multiple groups of abnormally shared devices for real-time sharing, and the acquisition rates and sharing rates of the two groups of devices are monitored in real time, and their associated difference is confirmed in real time, wherein the associated difference = acquisition rate - sharing rate, and the shared rate data segment with the associated difference > Y2 is determined, wherein Y2 is a preset value; S32, analyzing the shared rate data segments determined by the two groups of devices: confirming the trend of the shared rate data segments that belong to the same period, marking the data segments with opposite numerical trend from the two groups of shared rate data segments, extracting the associated time period and marking it as the reverse time period; S33, confirm the total duration of several reverse time periods and mark it as Zz, then identify the total duration of the microcycle and mark it as Zs, use Zz÷Zs=Zb to confirm the proportion value Zb of the reverse time period, and check the proportion value Zb with the preset value Y3: if Zb>Y3, mark the two groups of equipment as associated conflicting equipment; S34: Using the same method as steps S31-S33, specific confirmation of associated conflicting devices is performed on the other two groups of devices that are not sharing in real time.

6. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 5 is characterized in that: In step S33, if Zb≤Y3, no calibration is performed.

7. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 1 is characterized in that: In step 4, the specific sub-steps of sharing the associated conflicting devices in a periodic sharing manner are as follows: S41, based on the confirmed associated conflicting devices, when executing the data sharing monitoring process, data sharing is performed in a divided monitoring cycle manner, with one group of associated conflicting devices being preferentially shared in one monitoring cycle, and then another group of associated conflicting devices being shared in the next monitoring cycle, and the two groups of associated conflicting devices not being shared in the same monitoring cycle; S42: Identify the transmission bandwidth Dk of the transmission channel shared by the associated conflicting devices, and adjust the transmission bandwidth Dk to 2Dk.

8. The method for real-time sharing of data information based on green certificate issuance full coverage application support according to claim 7 is characterized in that: The step 4 also includes: S43: For other abnormal shared devices that are not associated conflicting devices, the sharing process is optimized in the same manner as steps S21 to S24.

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