CN115170078A - Industrial park carbon emission monitoring system and method based on 5G network - Google Patents
Industrial park carbon emission monitoring system and method based on 5G network Download PDFInfo
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Abstract
The invention discloses a system and a method for monitoring carbon emission of an industrial park based on a 5G network, belonging to the technical field of carbon emission monitoring; the monitoring effect of the carbon emission of different aspects can be obtained by carrying out independent monitoring statistics and computational analysis from the indirect aspect and the direct aspect, the results of the indirect aspect and the direct aspect can be linked by carrying out calculation and simultaneous calculation on the monitoring evaluation data of different aspects, the independent formation of a data isolated island from the indirect aspect and the direct aspect is avoided, and the evaluation and prompt of the whole carbon emission state of the industrial enterprise are realized by carrying out analysis and evaluation on the linked results; the invention is used for solving the technical problem that the overall effect of monitoring the carbon emission in the industrial park is poor because diversified monitoring and analysis can not be carried out from different aspects in the existing scheme.
Description
Technical Field
The invention relates to the technical field of carbon emission monitoring, in particular to a system and a method for monitoring carbon emission of an industrial park based on a 5G network.
Background
Carbon emissions generally refer to greenhouse gas emissions; the emission sources of greenhouse gases are mostly generated in the development of the world heavy industry, automobile exhaust and the like, once the greenhouse gases exceed the atmospheric standard, the greenhouse effect can be caused, the global temperature rises, and the human existence is threatened.
Present industrial park carbon emission monitoring scheme is when implementing, most of them are based on monitoring facilities and monitor each industrial enterprise's the emission condition, monitor from direct aspect promptly, can't follow indirect aspect and monitor the aassessment, make industrial park carbon emission can only carry out the control of simplification, can't carry out diversified monitoring and analysis from the aspect of difference, and then can't carry out simultaneous integration with the monitoring result of different aspects, the whole effect that leads to industrial park carbon emission control is not good.
Disclosure of Invention
The invention aims to provide a system and a method for monitoring carbon emission of an industrial park based on a 5G network, which are used for solving the technical problem that the overall effect of monitoring the carbon emission of the industrial park is poor because diversified monitoring and analysis cannot be performed from different aspects in the existing scheme.
The purpose of the invention can be realized by the following technical scheme:
a industrial park carbon emission monitoring system based on a 5G network comprises a carbon emission monitoring platform, wherein the carbon emission monitoring platform comprises an indirect evaluation terminal; the indirect evaluation end comprises a production monitoring module, an electricity utilization monitoring module and an integration evaluation module;
the production monitoring module is used for carrying out data statistics and parallel integration on the occupation of land scale and the production scale of each industrial enterprise in the industrial park, and obtaining the production coefficient corresponding to the industrial enterprise, and the production monitoring module comprises the following components:
numbering and marking each industrial enterprise in the industrial park; acquiring the occupied production area, the type of production raw materials and the corresponding production capacity of each industrial enterprise in the industrial park;
extracting and marking the numerical value of the occupied production area of the industrial enterprise; obtaining and marking a corresponding type weight coefficient according to the type of the production raw material; extracting and marking the numerical value of the production capacity corresponding to the type of the production raw material of the industrial enterprise;
performing simultaneous integration on the marked floor area, the type weight coefficient and the corresponding production capacity to obtain a corresponding production coefficient of the industrial enterprise, matching and marking the production grade of the industrial enterprise according to the production coefficient, and matching the obtained production coefficient with a production grade list pre-stored in a database to obtain a corresponding production grade;
the production grade list comprises a primary production grade, a middle production grade and a high-grade production grade, the grades of all the production grades are sequentially increased, and the corresponding value ranges are also sequentially increased; the value ranges corresponding to the primary production grades are (0, q), [ q, p) and [ p, + ∞), and q is less than p;
the production coefficients of a plurality of industrial enterprises and the production grades of corresponding levels form an industrial partition set;
the power consumption monitoring module is used for monitoring and counting the daily production power of each industrial enterprise in the industrial park to obtain power consumption data;
the integration evaluation module is used for carrying out simultaneous integration on the industrial partition set and the power utilization data to obtain an emission value, monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission value, and displaying and prompting an internal evaluation set.
Preferably, the simultaneous integration of the industrial partition sets with the electricity usage data comprises:
acquiring production coefficients corresponding to industrial enterprises in industrial division centralization, acquiring daily production electricity utilization total amount in electricity utilization data and marking the daily production electricity utilization amount; and (4) simultaneously acquiring the emission interval value corresponding to the industrial enterprise by combining the marked production coefficient and the daily total production electricity consumption.
Preferably, the monitoring and evaluation of the carbon emission condition of the industrial enterprise according to the emission value comprises the following steps:
acquiring a corresponding production evaluation range according to the production grade of the corresponding level of the industrial enterprise, and matching the emission value corresponding to the industrial enterprise with the production evaluation range;
if the emission value is smaller than the minimum value of the production evaluation range, generating an excellence evaluation signal, setting the corresponding enterprise as an excellence enterprise and adding one to the excellence total number;
if the emission value is not less than the minimum value of the production evaluation range and not more than the maximum value of the production evaluation range, generating a normal evaluation signal;
if the discharge value is larger than the maximum value of the production evaluation range, generating an abnormal discharge signal, setting the corresponding industrial enterprises as abnormal enterprises and adding one to the total abnormal times;
the goodwill inter-estimate signal, the normality inter-estimate signal, the abnormality inter-estimate signal, and the goodwill and abnormality enterprises constitute an internal evaluation set.
Preferably, the carbon emission monitoring platform further comprises a direct evaluation terminal and a simultaneous output terminal; the direct evaluation end comprises an external monitoring module and an external evaluation module;
the external monitoring module is used for monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission amount;
and the external evaluation module is used for matching the acquired real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set.
Preferably, the obtained real-time carbon emission total amount is matched with the carbon emission standard total amount corresponding to each industrial enterprise, if the carbon emission total amount after the industrial enterprise finishes production is smaller than the carbon emission standard total amount, a difference value between the carbon emission standard total amount and the carbon emission total amount is obtained, if the difference value is larger than a difference threshold value, an excellent direct estimation signal is generated, the corresponding enterprise is set as an enterprise up to standard, and the total number of times up to standard is increased by one; and if the difference value is not greater than the difference threshold value, generating a normal direct estimation signal.
Preferably, if the total carbon emission in the production process of the industrial enterprise is equal to the total carbon emission standard, generating an abnormal direct estimation signal, setting a corresponding time point as a super-emission reference point according to the abnormal direct estimation signal, and setting the time length between the super-emission reference point and the time point after finishing production as an evaluation time length, wherein the unit of the evaluation time length is hour;
acquiring the total carbon emission amount in the production process of the industrial enterprise within the evaluation duration, setting the total carbon emission amount as the carbon emission excess amount, and analyzing and evaluating the influence of the carbon emission excess amount to obtain excess analysis data;
the excellent direct estimation signal, the normal direct estimation signal, the abnormal direct estimation signal, the standard-reaching enterprise and the excessive analysis data form an external estimation set.
Preferably, the analytical assessment of the impact of carbon emissions overdose is performed, comprising:
acquiring a ratio between the carbon emission excess and the total carbon emission standard amount and setting the ratio as an evaluation value; if the evaluation value is less than k and the value of k is between 0 and 1, generating a low image signal; if the evaluation value is not less than k, generating a high shadow signal, setting the corresponding enterprise as an unqualified enterprise and adding one to the total unqualified times; the low image signal, the high image signal and the non-standard enterprise constitute the over-analysis data.
Preferably, the simultaneous output end is used for integrating the overall carbon emission condition of the industrial enterprise by combining the internal evaluation set and the external evaluation set, and carrying out early warning and prompting according to an integration result; the method comprises the following steps: acquiring the excellent total times and abnormal total times of the corresponding internal evaluation set of the industrial enterprise and the standard total times and non-standard total times of the external evaluation set, respectively taking value marks, and simultaneously acquiring the ranking value of the industrial enterprise by the numerical values of the excellent total times and the abnormal total times.
Preferably, the rank value is matched with a preset rank threshold value to obtain a first prompt signal, a second prompt signal and a third prompt signal; and prompting and early warning the whole carbon emission state of the corresponding industrial enterprise according to different prompting signals.
In order to solve the problem, the invention also provides a method for monitoring the carbon emission of the industrial park based on the 5G network, which comprises the following steps:
carrying out data statistics and parallel integration on the occupied land scale and the production scale of each industrial enterprise in the industrial park, and matching and marking the production grade of the industrial enterprise according to an integration result to obtain an industrial partition set;
monitoring and counting the daily production electric quantity of each industrial enterprise in the industrial park to obtain electric consumption data;
performing simultaneous integration on the industrial partition set and the power utilization data to obtain an emission interval value, and monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission interval value to obtain an internal evaluation set;
monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission;
matching the obtained real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set;
and integrating the overall carbon emission condition of the industrial enterprise by combining the internal evaluation set and the external evaluation set, and carrying out early warning and prompting according to an integration result.
Compared with the prior art, the invention has the following beneficial effects:
the method carries out data statistics and parallel integration on the occupied space scale and the production scale of each industrial enterprise in the industrial park to obtain the corresponding production coefficient of the industrial enterprise; integrally evaluating the production state of the industrial enterprise based on the production coefficient; the production state of the industrial enterprise and the corresponding actual power utilization condition are calculated in a simultaneous mode, so that whether the carbon emission state of the corresponding industrial enterprise is normal or not can be indirectly judged, and the carbon emission of the industrial enterprise is monitored in a diversified mode;
the carbon emission of the industrial enterprises in different production states is integrally evaluated based on the collected and counted emission data, so that the analysis and evaluation of the carbon emission outside the industrial enterprises can be realized, and data support can be provided for the subsequent evaluation of the integral carbon emission of the industrial enterprises;
the monitoring effect of carbon emission of different aspects can be obtained by carrying out independent monitoring statistics and computational analysis from the indirect aspect and the direct aspect, the results of the indirect aspect and the direct aspect can be linked by calculating and combining the monitoring evaluation data of different aspects, the independent formation of a data island in the indirect aspect and the direct aspect is avoided, and the evaluation and prompt of the whole carbon emission state of an industrial enterprise are realized by analyzing and evaluating the linked results.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of an industrial park carbon emission monitoring system based on a 5G network according to the present invention.
Fig. 2 is a schematic flow chart of a method for monitoring carbon emission in an industrial park based on a 5G network according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, the present invention is an industrial park carbon emission monitoring system based on 5G network, including a carbon emission monitoring platform, which includes an indirect evaluation end;
the indirect evaluation terminal comprises a production monitoring module, an electricity utilization monitoring module and an integration evaluation module; the communication among the modules is realized based on a 5G network;
the production monitoring module is used for carrying out data statistics and parallel integration on the occupied area scale and the production scale of each industrial enterprise in the industrial park to obtain a production coefficient corresponding to the industrial enterprise, and matching and marking the production grade of the industrial enterprise according to the production coefficient to obtain an industrial partition set;
wherein, carry out the parallelly connected integration that stands of statistics to each industrial enterprise's in the industrial park occupation of land scale and production scale, include:
numbering each industrial enterprise in the industrial park and marking the industrial enterprises as i, i belongs to (1, 2, 3.. Cndot., n), and n is a positive integer; acquiring the occupied production area, the type of production raw materials and the corresponding production capacity of each industrial enterprise in the industrial park;
extracting a numerical value of the occupied production area of the industrial enterprise and marking the numerical value as ZMI; the unit is mu;
setting different production raw material types to correspond to different type weight coefficients, matching the obtained production raw material types of the industrial enterprises with all the production raw material types to obtain corresponding type weight coefficients, and marking the type weight coefficients as LQi; the type weight coefficient is used for realizing digital representation of the production raw material types of the text type so as to realize differential calculation of different production raw material types, the specific numerical value can be obtained by matching the big data produced by the existing industrial enterprises with neural network algorithm training or artificially preset, and the specific steps are not repeated herein;
extracting the numerical value of the production capacity corresponding to the type of the production raw material of the industrial enterprise and marking the numerical value as LSi; the unit is ton;
and simultaneously integrating the marked occupied production area, the type weight coefficient and the corresponding production capacity to obtain the corresponding production coefficient of the industrial enterprise, wherein the method comprises the following steps:
acquiring marked occupied production area ZNi, type weight coefficient LQi and corresponding production capacity LSi, and combining the values of the three, namely, the occupied production area ZNi, the type weight coefficient LQi and the corresponding production capacity LSi through a formula
Calculating to obtain a production coefficient Yxi corresponding to the industrial enterprise;
in the formula, a1 and a2 are different proportionality coefficients and have the value ranges of (0, 1), a1 can be 0.0251, and a2 can be 0.0426;
it should be noted that the production coefficient is a numerical value for integrally evaluating the production status of industrial enterprises of different scales and production types; data integration is realized by simultaneous calculation of data of various aspects of industrial enterprise production, so that the production state of the industrial enterprise can be integrally evaluated based on the production coefficient.
In the embodiment of the invention, the production states of different industrial enterprises are integrally evaluated by carrying out data statistics and computational analysis on the production aspects of all industrial enterprises in an industrial park and combining the types and the production quantities of production raw materials from occupied production areas, so that data support can be provided for differentiated monitoring and analysis of the industrial enterprises, and compared with undifferentiated monitoring in the existing scheme, the embodiment of the invention can realize more efficient and diversified monitoring and analysis;
it is to be noted that carbon emissions include direct emissions + indirect emissions, in which direct combustion directly burns the emissions of various fuels (coal/oil/natural gas/diesel); the existing carbon emission monitoring scheme only realizes single monitoring and analysis, such as monitoring and evaluation only aiming at direct emission, but does not integrate and evaluate from the aspects of enterprise production scale and production related data, and cannot realize differentiated monitoring and analysis on industrial enterprises of different types and scales, so that the overall effect of monitoring the carbon emission of an industrial park is poor.
Matching and marking the production grade of the industrial enterprise according to the production coefficient, comprising the following steps:
matching the obtained production coefficient with a production grade list pre-stored in a database to obtain a corresponding production grade; the production grade list comprises a primary production grade, a middle production grade and a high production grade, the grades of the production grades are sequentially increased, and the corresponding value ranges are also sequentially increased; the value ranges corresponding to the primary production level are (0, q), [ q, p) and [ p, + ∞), [ q ] is less than p, and q and p are real numbers, and specific numerical values are manually set based on actual application scenes or are set based on existing carbon emission monitoring big data;
the production coefficients of several industrial enterprises and the production grades of corresponding levels constitute an industrial partition set.
The purpose of matching and marking is to classify all aspects of data of the industrial enterprise after simultaneous calculation, namely, to realize differential aggregation of different industrial enterprises through a score-aggregate mode.
The power consumption monitoring module is used for monitoring and counting the daily production power of each industrial enterprise in the industrial park to obtain power consumption data;
the power consumption requirements of different types and different scales of industrial enterprises are different, and effective data support can be provided for monitoring and analyzing indirect emission by monitoring and counting the power consumption of the industrial enterprises.
The integration evaluation module is used for carrying out simultaneous integration on the industrial partition set and the power utilization data to obtain an emission value, monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission value, and displaying and prompting an internal evaluation set.
Wherein, carry out the simultaneous integration with industry partition set and power consumption data, include:
acquiring a production coefficient Yxi corresponding to industrial enterprises in industrial division and concentration, acquiring the total daily production power consumption in power consumption data, and marking the total daily production power consumption as SDi;
combining the marked production coefficient with the total daily production electricity consumption, and calculating and acquiring an emission interval value PNi corresponding to an industrial enterprise through a formula PNi = mu XYXi x (SDi-SDi 0);
in the formula, SDi0 is the total amount of standard daily production bills corresponding to industrial enterprises; mu is a compensation factor, the value range is between 0 and 3, and the value can be 1.3625;
it should be noted that the inter-emission value is a value for indirectly estimating the carbon emission of the industrial enterprise as a whole; the production state of the industrial enterprise and the corresponding actual power utilization condition are calculated in a simultaneous mode, whether the carbon emission state of the corresponding industrial enterprise is normal or not can be judged indirectly, and diversified monitoring on the carbon emission of the industrial enterprise is achieved.
In addition, the monitoring and evaluation of the carbon emission condition of the industrial enterprise according to the emission value comprises the following steps:
acquiring a corresponding production evaluation range according to the production grade of the corresponding level of the industrial enterprise, and matching the emission value corresponding to the industrial enterprise with the production evaluation range, wherein the matching can be performed by taking days as a unit;
if the emission value is smaller than the minimum value of the production evaluation range, judging that the indirect emission state of the corresponding industrial enterprise is excellent and generating an excellent evaluation signal, setting the corresponding enterprise as an excellent enterprise according to the excellent evaluation signal and adding one to the total number of excellent enterprises;
if the emission value is not smaller than the minimum value of the production evaluation range and not larger than the maximum value of the production evaluation range, judging that the indirect emission state of the corresponding industrial enterprise is normal and generating a normal inter-estimation signal;
if the discharge value is larger than the maximum value of the production evaluation range, judging that the indirect discharge state of the corresponding industrial enterprise is abnormal and generating an abnormal evaluation signal, setting the corresponding industrial enterprise as an abnormal enterprise according to the abnormal evaluation signal and adding one to the total number of abnormal times;
the excellent inter-estimation signal, the normal inter-estimation signal, the abnormal inter-estimation signal, and the excellent enterprise and the abnormal enterprise constitute an internal evaluation set.
In the embodiment of the invention, the daily carbon emission condition of the industrial enterprise can be timely mastered by matching and analyzing the indirect emission from the aspect of indirect emission, so that the targeted early warning prompt can be timely performed on the industrial enterprise corresponding to the abnormal carbon emission state, and meanwhile, data support can be provided for the monitoring of the overall carbon emission of the industrial enterprise, thereby improving the overall monitoring effect of the carbon emission.
Example two
On the basis of the first embodiment, the carbon emission monitoring platform further comprises a direct evaluation end and a simultaneous output end; the direct evaluation end comprises an external monitoring module and an external evaluation module;
the external monitoring module is used for monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission amount;
the total carbon emission amount includes, but is not limited to, the concentration of parameters such as carbon dioxide CO2, methane CH4, nitrous oxide N2O, carbon monoxide CO, ammonia NH3, hydrogen sulfide H2S, sulfur dioxide SO2, total organic carbon TOC, ozone O3, and the like, and can be selected according to actual application scenarios, and meanwhile, implementing monitoring statistics of the carbon emission situation is an existing conventional technical means, and specific steps are not described herein;
the external evaluation module is used for matching the acquired real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set; the method comprises the following steps:
matching the obtained real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise, if the carbon emission total amount after the industrial enterprise finishes production is smaller than the carbon emission standard total amount, obtaining a difference value between the carbon emission standard total amount and the carbon emission total amount, if the difference value is larger than a difference threshold value, judging that the direct emission state of the industrial enterprise at the current day is excellent and generating an excellent direct estimation signal, setting the corresponding enterprise as an up-to-standard enterprise according to the excellent direct estimation signal, and adding one to the total number of times of reaching the standard; the difference threshold value needs to be set in a differentiation mode according to the total carbon emission standard amount corresponding to the industrial enterprise;
if the difference value is not larger than the difference threshold value, judging that the direct emission state of the industrial enterprise on the current day is normal and generating a normal direct estimation signal;
if the total carbon emission amount in the production process of the industrial enterprise is equal to the total carbon emission standard amount, generating an abnormal direct estimation signal, setting a corresponding time point as a super-emission reference point according to the abnormal direct estimation signal, and setting the time length between the super-emission reference point and the time point after the production is finished as an estimation time length, wherein the unit of the estimation time length is hour;
acquiring the total carbon emission amount in the production process of the industrial enterprise within the evaluation duration, setting the total carbon emission amount as the carbon emission excess amount, and analyzing and evaluating the influence of the carbon emission excess amount to obtain excess analysis data; the method comprises the following steps:
acquiring a ratio between the carbon emission excess and the total carbon emission standard and setting the ratio as an evaluation value; if the evaluation value is less than k, and the value of k is between 0 and 1, judging that the influence of the carbon emission excess of the enterprise is low and generating a low shadow signal; if the evaluation value is not less than k, for example, the value is 0.5, judging that the influence of the carbon emission excess of the enterprise is high, generating a high shadow signal, setting the corresponding enterprise as an unqualified enterprise according to the high shadow signal, and adding one to the total number of unqualified enterprises;
the low image signal, the high image signal and the unqualified enterprises form excessive analysis data;
the excellent direct estimation signal, the normal direct estimation signal, the abnormal direct estimation signal and the standard-reaching enterprise and excessive analysis data form an external estimation set.
In the embodiment of the invention, the carbon emission of the industrial enterprises in different production states is integrally evaluated based on the existing monitoring statistics of the external carbon emission and the collected and counted emission data, so that the external carbon emission analysis and evaluation of the industrial enterprises can be realized, and meanwhile, data support can be provided for the subsequent evaluation of the overall carbon emission of the industrial enterprises.
The simultaneous output end is used for combining the internal evaluation set and the external evaluation set to integrate the overall carbon emission condition of the industrial enterprise, and carrying out early warning and prompting according to the integration result; the method comprises the following steps: acquiring excellent total times and abnormal total times corresponding to an internal evaluation set of the industrial enterprise and standard total times and non-standard total times corresponding to an external evaluation set of the industrial enterprise, respectively taking values and marking the values as Yxi, YCi, DBi and BDi, and simultaneously calculating the values of the four to acquire a ranking value PZi of the industrial enterprise through a formula; the formula is ZPi = b1 × YXi/(YCi + 0.12) + b2 × DBi/(BDi + 0.24);
wherein b1 and b2 are different proportionality coefficients each greater than zero, and b1+ b2=1, b1 may be 0.3624, and b2 may be 0.6376;
the above formulas are obtained by collecting a large amount of data and performing software simulation, and the proportion coefficients in the formulas are set by those skilled in the art according to actual conditions.
It should be noted that the rank value is a numerical value used for evaluating the overall carbon emission state of the industrial enterprise; through carrying out simultaneous integration on data related to indirect emission and direct emission, the overall carbon emission state is evaluated and prompted on the basis of the conditions of reaching the standard and not reaching the standard in different aspects, and more comprehensive monitoring can be realized.
Matching the row shape value with a preset row shape threshold value;
if the ranking value is larger than the ranking threshold value, judging that the overall carbon emission state of the corresponding industrial enterprise is excellent and generating a first prompt signal;
if the ranking value is not greater than the ranking threshold value and not less than v% of the ranking threshold value, the value of v is between 50 and 100, and can be 60, judging that the whole carbon emission state of the corresponding industrial enterprise is normal and generating a second prompt signal;
if the row state value is smaller than v% of the row state threshold value, judging that the whole carbon emission state of the corresponding industrial enterprise is abnormal, and generating a third prompt signal; and prompting and early warning the whole carbon emission state of the corresponding industrial enterprise according to different prompting signals.
In the embodiment of the invention, the monitoring effects of carbon emission of different aspects can be obtained by carrying out independent monitoring statistics and calculation analysis from the indirect aspect and the direct aspect, the results of the indirect aspect and the direct aspect can be linked by carrying out calculation and simultaneous calculation on the monitoring evaluation data of different aspects, a data island formed by the indirect aspect and the direct aspect independently is avoided, and the evaluation and prompt of the overall carbon emission state of the industrial enterprise are realized by carrying out analysis and evaluation on the linked results.
Example four
As shown in fig. 2, a method for monitoring carbon emission of an industrial park based on a 5G network includes:
carrying out data statistics and parallel integration on the occupied land scale and the production scale of each industrial enterprise in the industrial park, and matching and marking the production grade of the industrial enterprise according to an integration result to obtain an industrial partition set;
monitoring and counting the daily production electric quantity of each industrial enterprise in the industrial park to obtain electric consumption data;
performing simultaneous integration on the industrial partition set and the power utilization data to obtain an emission interval value, and monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission interval value to obtain an internal evaluation set;
monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission;
matching the obtained real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set;
and integrating the overall carbon emission condition of the industrial enterprise by combining the internal evaluation set and the external evaluation set, and carrying out early warning and prompting according to an integration result.
In the embodiments provided in the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the essential characteristics of the invention.
Finally, it should be noted that the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the same, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A monitoring system for carbon emission of an industrial park based on a 5G network is characterized by comprising a carbon emission monitoring platform, wherein the carbon emission monitoring platform comprises an indirect evaluation terminal; the indirect evaluation terminal comprises a production monitoring module, an electricity utilization monitoring module and an integration evaluation module;
the production monitoring module is used for carrying out data statistics and parallel integration on the occupied area scale and the production scale of each industrial enterprise in the industrial park to obtain a production coefficient corresponding to the industrial enterprise, and the production monitoring module comprises the following steps:
numbering and marking each industrial enterprise in the industrial park; acquiring the occupied production area, the type of production raw materials and the corresponding production capacity of each industrial enterprise in the industrial park;
extracting and marking the numerical value of the occupied production area of the industrial enterprise; obtaining and marking a corresponding type weight coefficient according to the type of the production raw material; extracting and marking the numerical value of the production capacity corresponding to the type of the production raw material of the industrial enterprise;
performing simultaneous integration on the marked floor area, the type weight coefficient and the corresponding production capacity to obtain a corresponding production coefficient of the industrial enterprise, matching and marking the production grade of the industrial enterprise according to the production coefficient, and matching the obtained production coefficient with a production grade list pre-stored in a database to obtain a corresponding production grade;
the production grade list comprises a primary production grade, a middle production grade and a high production grade, the grades of the production grades are sequentially increased, and the corresponding value ranges are also sequentially increased; the value ranges corresponding to the primary production level are (0, q), [ q, p) and [ p, + ∞ ], and q is less than p;
the production coefficients of a plurality of industrial enterprises and the production grades of corresponding levels form an industrial partition set;
the power consumption monitoring module is used for monitoring and counting the daily production power of each industrial enterprise in the industrial park to obtain power consumption data;
the integration evaluation module is used for carrying out simultaneous integration on the industrial partition set and the power utilization data to obtain an emission value, monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission value, and displaying and prompting an internal evaluation set.
2. The industrial park carbon emission monitoring system based on 5G network according to claim 1, wherein the simultaneous integration of industrial partition sets and electricity usage data comprises:
acquiring production coefficients corresponding to industrial enterprises in industrial division centralization, acquiring daily production electricity utilization total amount in electricity utilization data and marking the daily production electricity utilization amount; and (4) simultaneously acquiring the emission interval value corresponding to the industrial enterprise by combining the marked production coefficient and the daily total production electricity consumption.
3. The industrial park carbon emission monitoring system based on the 5G network according to claim 1, wherein the monitoring and evaluation of the carbon emission condition of the industrial enterprise according to the emission value comprises:
acquiring a corresponding production evaluation range according to the production grade of the corresponding level of the industrial enterprise, and matching the emission value corresponding to the industrial enterprise with the production evaluation range;
if the emission value is smaller than the minimum value of the production evaluation range, generating an excellence evaluation signal, setting the corresponding enterprise as an excellence enterprise and adding one to the excellence total number;
if the emission value is not less than the minimum value of the production evaluation range and not more than the maximum value of the production evaluation range, generating a normal evaluation signal;
if the discharge value is larger than the maximum value of the production evaluation range, generating an abnormal discharge signal, setting the corresponding industrial enterprises as abnormal enterprises and adding one to the total abnormal times;
the excellent inter-estimation signal, the normal inter-estimation signal, the abnormal inter-estimation signal, and the excellent enterprise and the abnormal enterprise constitute an internal evaluation set.
4. The industrial park carbon emission monitoring system based on 5G network of claim 1, wherein the carbon emission monitoring platform further comprises a direct evaluation terminal and a simultaneous output terminal; the direct evaluation end comprises an external monitoring module and an external evaluation module;
the external monitoring module is used for monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission amount;
and the external evaluation module is used for matching the acquired real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set.
5. The industrial park carbon emission monitoring system based on the 5G network according to claim 4, wherein the obtained real-time total carbon emission is matched with the total carbon emission standard amount corresponding to each industrial enterprise, if the total carbon emission after the industrial enterprise finishes producing is less than the total carbon emission standard amount, a difference value between the total carbon emission standard amount and the total carbon emission amount is obtained, if the difference value is greater than a difference threshold value, an excellent direct estimation signal is generated, the corresponding enterprise is set as an up-to-standard enterprise, and the total number of the up-to-standard enterprises is increased by one; and if the difference value is not greater than the difference threshold value, generating a normal direct estimation signal.
6. The industrial park carbon emission monitoring system based on the 5G network according to claim 5, wherein if the total carbon emission amount in the production process of the industrial enterprise is equal to the total carbon emission standard amount, an abnormal direct estimation signal is generated, a corresponding time point is set as a super-emission standard point according to the abnormal direct estimation signal, and the time length between the super-emission standard point and the time point after the production is finished is set as an estimation time length, and the unit of the estimation time length is hour;
acquiring the total carbon emission amount in the production process of the industrial enterprise within the evaluation duration, setting the total carbon emission amount as the carbon emission excess amount, and analyzing and evaluating the influence of the carbon emission excess amount to obtain excess analysis data;
the excellent direct estimation signal, the normal direct estimation signal, the abnormal direct estimation signal, the standard-reaching enterprise and the excessive analysis data form an external estimation set.
7. The industrial park carbon emission monitoring system based on 5G network according to claim 6, wherein the analysis and evaluation of the influence of carbon emission excess comprises:
acquiring a ratio between the carbon emission excess and the total carbon emission standard amount and setting the ratio as an evaluation value; if the evaluation value is less than k, and the value of k is between 0 and 1, generating a low shadow signal; if the evaluation value is not less than k, generating a high shadow signal, setting the corresponding enterprise as an unqualified enterprise, and adding one to the total number of unqualified enterprises; the low image signal, the high image signal and the non-standard enterprise constitute the over-analysis data.
8. The industrial park carbon emission monitoring system based on the 5G network according to claim 7, wherein the simultaneous output end is used for combining an internal evaluation set and an external evaluation set to integrate the overall carbon emission condition of an industrial enterprise, and performing early warning and prompting according to the integration result; the method comprises the following steps: acquiring the excellent total times and abnormal total times of the corresponding internal evaluation set of the industrial enterprise and the standard total times and non-standard total times of the external evaluation set, respectively taking value marks, and simultaneously acquiring the ranking value of the industrial enterprise by the numerical values of the excellent total times and the abnormal total times.
9. The industrial park carbon emission monitoring system based on the 5G network according to claim 8, wherein the rank value is matched with a preset rank threshold value to obtain a first prompt signal, a second prompt signal and a third prompt signal; and prompting and early warning the whole carbon emission state of the corresponding industrial enterprise according to different prompting signals.
10. A 5G network-based industrial park carbon emission monitoring method applied to a 5G network-based industrial park carbon emission monitoring system according to any one of claims 1 to 9, comprising:
carrying out data statistics and parallel integration on the occupied area scale and the production scale of each industrial enterprise in the industrial park, and matching and marking the production grade of the industrial enterprise according to the integration result to obtain an industrial partition set;
monitoring and counting the daily production electric quantity of each industrial enterprise in the industrial park to obtain electric consumption data;
performing simultaneous integration on the industrial partition set and the power utilization data to obtain an emission interval value, and monitoring and evaluating the carbon emission condition of the industrial enterprise according to the emission interval value to obtain an internal evaluation set;
monitoring and counting the daily carbon emission condition of each industrial enterprise to obtain the total carbon emission;
matching the obtained real-time carbon emission total amount with the carbon emission standard total amount corresponding to each industrial enterprise to obtain an external evaluation set;
and integrating the overall carbon emission condition of the industrial enterprise by combining the internal evaluation set and the external evaluation set, and carrying out early warning and prompting according to an integration result.
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| CN116862741B (en) * | 2023-07-25 | 2024-05-28 | 杭州超腾能源技术股份有限公司 | Intelligent monitoring method and system for carbon emission of industrial park |
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