CN114066701A - Carbon emission early warning system in single region of city - Google Patents
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Abstract
The invention discloses a carbon emission early warning system in a single city area, belonging to the field of city environmental protection, the carbon emission monitoring system is used for solving the problems that the carbon emission of a single city area cannot be early warned in time, the grade of the carbon emission of the single city area is not matched with the safety maintenance strength, and comprises a safety maintenance module, an early warning defining module and an intelligent statistical module, wherein the intelligent statistical module is used for calculating an early warning value of the carbon emission of the monitoring area, the intelligent statistical module sends the early warning value to the early warning defining module, the early warning defining module is used for defining the carbon emission of the monitoring area, the safety maintenance module is used for carrying out safety maintenance on the carbon emission of the monitoring area, the safety maintenance does not need to be adjusted or the maintenance strength of the monitoring area needs to be adjusted when the maintenance strength of the monitoring area is obtained, the carbon emission of the single city area can be monitored in real time conveniently, and the corresponding safety maintenance strength is matched according to the grade of the carbon emission of the single city area.
Description
Technical Field
The invention relates to the technical field of urban environmental protection, relates to a carbon emission early warning technology, and particularly relates to a carbon emission early warning system in an urban single area.
Background
Carbon emission generally refers to greenhouse gas emission, which causes greenhouse effect and causes global temperature rise. The earth absorbs solar radiation, and radiates heat to an outer space, wherein the heat radiation is mainly long-wave infrared rays with the wavelength of 3-30 micrometers. When such long-wave radiation enters the atmosphere, it is easily absorbed by certain gas molecules with large molecular weight and strong polarity. Because the energy of infrared is low and is not enough to cause the breaking of molecular bond energy, gas molecules do not react chemically after absorbing infrared radiation, but only block heat from escaping outwards from the earth, and the gas molecules play a role of a heat insulating layer of the earth and outer space, namely a greenhouse. The phenomenon that the absorption of earth's long-wave radiation by certain trace components in the atmosphere causes the heat near the ground to be maintained, thereby causing global temperature rise is called greenhouse effect.
In the prior art, the carbon emission in a single city area is difficult to monitor in real time, so that early warning cannot be timely obtained, once the carbon emission in the single city area cannot be monitored, climate disasters are easily caused and human life is easily influenced, the current carbon emission early warning measures in the single city area are mainly monitored by a plurality of carbon emission monitoring devices, the cost of the carbon emission monitoring devices is high, and large-scale popularization cannot be realized;
meanwhile, the carbon emission of the single city area is not graded and matched with corresponding safety maintenance strength according to the grade, most of the current single city areas adopt unified carbon emission monitoring and control measures, monitoring and control resources are not reasonably allocated according to the carbon emission condition, and a large amount of resources are wasted.
Disclosure of Invention
Aiming at the problems, the invention provides a carbon emission early warning system in a single city area.
The technical problem to be solved by the invention is as follows:
(1) how to monitor the carbon emission in a single city area in real time and solve the problem that the carbon emission in the single city area cannot be early warned in time;
(2) how to grade the carbon emission in the single city area and solve the problem that the grade of the carbon emission in the single city area is not matched with the safety maintenance force.
In order to solve the technical problems and achieve the purpose, the invention provides an early warning system for carbon emission in a single city area, which comprises: the system comprises a data acquisition module, a safety maintenance module, an early warning definition module, an intelligent statistics module, an area division module and a server;
the area dividing module is used for dividing an urban area into a plurality of monitoring areas and sending the monitoring areas to the server and the intelligent statistical module;
the intelligent statistical module is used for calculating the early warning value of the carbon emission in the monitoring area sent by the area dividing module, and the calculating steps specifically comprise:
the method comprises the following steps: marking the monitoring area as u, u is 1,2, … …, z, z is a positive integer;
step two: acquiring the population number in the monitored area, and marking the population number as RKu; acquiring the number of real-time vehicles in a monitoring area, and marking the real-time vehicles as CLu; acquiring the number of buildings in a monitored area, and marking the number of the buildings as JZu;
step three: calculating a carbon emission influence value TYu of the monitored area by using a formula TYu-RKu × a1+ CLu × a2+ JZu × a 3; in the formula, a1, a2 and a3 are all weight coefficient fixed numerical values, a1, a2 and a3 are all greater than zero, and a1+ a2+ a3 is equal to 1;
step four: acquiring the green planting area in the monitoring area, and marking the green planting area as LZu; acquiring a water source location in a monitored area, and marking the water source location as SYu;
step five: using formulas
Calculating to obtain an improved value GSu of carbon emission in the monitoring area; in the formula, a4 and a5 are both proportional coefficient fixed values, the values of a4 and a5 are both greater than zero, and e is a natural constant;
step six: acquiring the occupation ratio of emerging industries in a monitoring area, and marking the occupation ratio of the emerging industries as XCZu; acquiring the number of new energy vehicles in the number of real-time vehicles in a monitoring area, wherein the new energy vehicle ratio obtains a new energy vehicle ratio XNZu for the number of the real-time vehicles;
step seven: substituting the carbon emission impact value TYu, the improvement value GSu, the emerging industry ratio XCZu and the new energy vehicle ratio XNZu into a calculation formula
Calculating to obtain an early warning value YJu of carbon emission in the monitoring area;
the intelligent statistical module sends the early warning value to the early warning defining module, and the early warning defining module is used for defining the carbon emission of a monitoring area according to the received early warning value to define and obtain a mild early warning signal, a moderate early warning signal, an emergency early warning signal and corresponding early warning coefficients;
the early warning definition module sends a mild early warning signal, a moderate early warning signal, an emergency early warning signal and corresponding early warning coefficients to the server;
the server sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the safety maintenance module;
after receiving the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients sent by the server, the safety maintenance module carries out safety maintenance on the carbon emission of the monitored area and judges whether the maintenance intensity of the monitored area needs to be adjusted;
if the maintenance intensity of the monitoring area needs to be adjusted, a safety maintenance adjusting signal is generated, meanwhile, the safety maintenance module sends the safety maintenance adjusting signal to the server, and the server adjusts the maintenance intensity of the monitoring area according to the safety maintenance adjusting signal.
Further, the emerging industries include modern logistics and manufacturing, high and new technology, modern financial insurance, cultural tourism, and electronic information.
Further, early warning data of each monitoring area in the urban area is stored in the server, and the early warning data comprises an early warning threshold value of the monitoring area.
Further, the early warning definition module specifically comprises:
step S1: acquiring an early warning threshold value of a monitoring area, and marking the early warning threshold value as YYJu;
step S2: subtracting the early warning threshold YYJu from the early warning value YJu to obtain an early warning difference value CYJu;
step S3: if CYJu is less than X1, generating a mild early warning signal, and setting a corresponding early warning coefficient alpha;
if X1 is not more than CYJu and is less than X2, generating a moderate early warning signal and setting a corresponding early warning coefficient alpha;
if X2 is less than or equal to CYJu, generating an emergency early warning signal, and setting a corresponding early warning coefficient alpha;
wherein, X1 and X2 are both preset fixed values, X1 is less than X2, and alpha is a preset fixed value.
Further, the early warning coefficient of the mild early warning signal is smaller than the early warning coefficient of the moderate early warning signal, and the early warning coefficient of the moderate early warning signal is smaller than the early warning coefficient of the emergency early warning signal.
Further, the step of maintaining the safety of the safety maintenance module specifically includes:
step SS 1: acquiring the total number WRu of current maintenance personnel, the total number JSu of detection equipment and the total number JCu of detection in a monitored area;
step SS 2: acquiring the number of maintainers in each detection, adding and summing the number of maintainers in each detection and dividing the sum by the total detection times to obtain the average number JWRu of detected persons; acquiring the number of detection devices in each detection, adding and summing the number of detection devices in each detection, and dividing the sum by the total detection times to obtain the average number JJJSU of the detection devices;
step SS 3: calculating to obtain a current maintenance value WHu of the monitored area by using a formula WHu which is JWRu × c1+ JJJSu × c 2; in the formula, c1 and c2 are both fixed numerical values of weight coefficients, and the values of c1 and c2 are both greater than zero;
step SS 4: acquiring a corresponding early warning coefficient alpha according to the early warning signal of the monitoring area; multiplying the current maintenance value WHu of the monitoring area by an early warning coefficient alpha to obtain a current safety value AQu of the monitoring area;
step SS 5: if the current safety value AQu of the monitoring area is greater than or equal to the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area does not need to be adjusted;
if the current safety value AQu of the monitoring area is smaller than the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area needs to be adjusted, and a safety maintenance adjustment signal is generated.
Further, the adjustment measure of the maintenance strength is as follows: and adjusting the total number of maintenance personnel, the total number of detection equipment, the total detection times, the number of maintenance personnel in each detection and the number of detection equipment in each detection in the monitoring area.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention calculates the early warning value of the carbon emission in the monitored area through the intelligent statistical module, obtains the early warning value of the carbon emission in the monitored area according to the carbon emission influence value, the improvement value, the new industry proportion and the new energy vehicle proportion, the intelligent statistical module sends the early warning value to the early warning defining module, defines the carbon emission in the monitored area through the early warning defining module, subtracts the early warning threshold value from the early warning value to obtain the early warning difference value, generates a mild early warning signal, a moderate early warning signal or an emergency early warning signal after comparing the early warning difference value with the set threshold value, and corresponding early warning coefficients, facilitates the real-time monitoring of the carbon emission in the single city area, adopts early warning signals of different levels according to the specific situation of the carbon emission, realizes the classification of the carbon emission pollution level in the single city area, and simultaneously sets a scientific and reasonable early warning mechanism for the carbon emission monitoring of the single city area, carbon emission is early-warned in time, so that the overproof reminding and the timely improvement of the carbon emission in urban areas are facilitated;
2. according to the invention, the carbon emission of the monitoring area is safely maintained through the safety maintenance module, the current safety value of the monitoring area is monitored according to the current maintenance value and the corresponding early warning coefficient, the current safety value of the monitoring area is compared with the safety threshold value, the maintenance intensity of the monitoring area is judged to be unnecessary to adjust or to adjust, if necessary, a safety maintenance adjusting signal is generated, the maintenance intensity of the monitoring area is adjusted according to the safety maintenance adjusting signal, the corresponding safety maintenance intensity is matched according to the grade of the carbon emission in a single city area, the carbon emission is reasonably scheduled according to the pollution grade of the city carbon emission, the resource waste is avoided, and the best use of the resources is realized.
Drawings
Fig. 1 is an overall system block diagram of an urban single-area carbon emission early warning system according to an embodiment of the present invention.
In the drawings, the correspondence between each component and the reference numeral is:
1. the system comprises a data acquisition module, a safety maintenance module, a warning definition module, an intelligent statistics module, a region division module and a server, wherein the safety maintenance module is 2, the warning definition module is 3, the intelligent statistics module is 4, the region division module is 5, and the server is 6.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1, the early warning system for carbon emission in a single city area according to the present invention includes: the system comprises a data acquisition module 1, a safety maintenance module 2, an early warning definition module 3, an intelligent statistics module 4, an area division module 5 and a server 6;
the region dividing module 5 is used for dividing the urban region into a plurality of monitoring regions and sending the monitoring regions to the server 6 and the intelligent statistical module 4;
specifically, the following are: in specific implementation, the urban area may be divided into monitoring areas according to the street community, or may be surrounded into monitoring areas according to the traffic roads, which is not specifically limited herein;
the intelligent statistical module 4 is used for calculating the early warning value of the carbon emission in the monitoring area sent by the received area dividing module 5, and the calculation steps are as follows:
the method comprises the following steps: marking the monitoring area as u, u is 1,2, … …, z, z is a positive integer;
step two: acquiring the population number in the monitored area, and marking the population number as RKu; acquiring the number of real-time vehicles in a monitoring area, and marking the real-time vehicles as CLu; acquiring the number of buildings in a monitored area, and marking the number of the buildings as JZu;
step three: calculating a carbon emission influence value TYu of the monitored area by using a formula TYu-RKu × a1+ CLu × a2+ JZu × a 3; in the formula, a1, a2 and a3 are all weight coefficient fixed numerical values, a1, a2 and a3 are all greater than zero, and a1+ a2+ a3 is equal to 1;
step four: acquiring the green planting area in the monitoring area, and marking the green planting area as LZu; acquiring a water source location in a monitored area, and marking the water source location as SYu;
step five: using formulas
Calculating to obtain an improved value GSu of carbon emission in the monitoring area; in the formula, a4 and a5 are both proportional coefficient fixed values, the values of a4 and a5 are both greater than zero, and e is a natural constant;
step six: acquiring the occupation ratio of emerging industries in a monitoring area, and marking the occupation ratio of the emerging industries as XCZu; acquiring the number of new energy vehicles in the number of real-time vehicles in a monitoring area, and comparing the number of new energy vehicles with the number of real-time vehicles to obtain a new energy vehicle ratio XNZu;
the emerging industries comprise enterprises with low energy consumption and small consumption, such as modern logistics industry and manufacturing industry, high and new technology industry, modern financial insurance industry, cultural tourism industry, electronic information industry and the like;
step seven: substituting the carbon emission influence value TYu, the improvement value GSu, the emerging industry ratio XCZu and the new energy vehicle ratio XNZu into a calculation formula
Calculating to obtain the area inside the monitoring areaAn early warning value YJu of carbon emissions;
early warning data of each monitoring area in the urban area is stored in the server 6, and the early warning data comprises early warning threshold values of the monitoring areas and the like; the intelligent statistical module 4 sends the early warning value to the early warning definition module 3, and the early warning definition module 3 is used for defining the carbon emission of the monitoring area according to the received early warning value, and the definition process specifically comprises:
step S1: acquiring an early warning threshold value of a monitoring area, and marking the early warning threshold value as YYJu;
step S2: subtracting the early warning threshold YYJu from the early warning value YJu to obtain an early warning difference value CYJu;
step S3: if CYJu is less than X1, generating a mild early warning signal, and setting a corresponding early warning coefficient alpha;
if X1 is not more than CYJu and is less than X2, generating a moderate early warning signal and setting a corresponding early warning coefficient alpha;
if X2 is less than or equal to CYJu, generating an emergency early warning signal, and setting a corresponding early warning coefficient alpha;
wherein, X1 and X2 are both preset fixed values, X1 is less than X2, and alpha is a preset fixed value.
Obtaining a mild early warning signal, a moderate early warning signal, an emergency early warning signal and corresponding early warning coefficients through the defining process;
the early warning coefficient of the mild early warning signal is smaller than that of the moderate early warning signal, and the early warning coefficient of the moderate early warning signal is smaller than that of the emergency early warning signal;
the early warning definition module 3 sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the server 6;
the server 6 sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the safety maintenance module 2;
after the safety maintenance module 2 receives the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients sent by the server 6, the safety maintenance is performed on the carbon emission of the monitoring area, and the safety maintenance steps specifically include:
step SS 1: acquiring the total number WRu of current maintenance personnel, the total number JSu of detection equipment and the total number JCu of detection in a monitored area;
step SS 2: acquiring the number of maintainers in each detection, adding and summing the number of maintainers in each detection and dividing the sum by the total detection times to obtain the average number JWRu of detected persons; acquiring the number of detection devices in each detection, adding and summing the number of detection devices in each detection, and dividing the sum by the total detection times to obtain the average number JJJSU of the detection devices;
step SS 3: calculating to obtain a current maintenance value WHu of the monitored area by using a formula WHu which is JWRu × c1+ JJJSu × c 2; in the formula, c1 and c2 are both fixed numerical values of weight coefficients, and the values of c1 and c2 are both greater than zero;
step SS 4: acquiring a corresponding early warning coefficient alpha according to the early warning signal of the monitoring area; multiplying the current maintenance value WHu of the monitoring area by an early warning coefficient alpha to obtain a current safety value AQu of the monitoring area;
step SS 5: if the current safety value AQu of the monitoring area is greater than or equal to the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area does not need to be adjusted;
if the current safety value AQu of the monitoring area is smaller than the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area needs to be adjusted, and a safety maintenance adjustment signal is generated.
If the safety maintenance adjusting signal is generated, the safety maintenance module 2 sends the safety maintenance adjusting signal to the server 6, and the server 6 adjusts the maintenance intensity of the monitoring area according to the safety maintenance adjusting signal.
The maintenance force adjustment measures are as follows: and adjusting the total number of maintenance personnel, the total number of detection equipment, the total detection times, the number of maintenance personnel in each detection and the number of detection equipment in each detection in the monitoring area.
The utility model provides a carbon emission early warning system in single district of city, the during operation divides the city region into a plurality of monitoring area through regionalization module 5 to with monitoring area transmission to intelligent statistics module 4, intelligent statistics module 4 calculates the early warning value of carbon emission in the monitoring area, acquires monitoring area and intra-areaThe population RKu, the real-time vehicle number CLu and the building number JZu are calculated by using a formula TYu-RKu × a1+ CLu × a2+ JZu × a3 to obtain a carbon emission influence value TYu of a monitored area, then a green planting area LZu and a water source area SYu in the monitored area are obtained, and the formula is used for calculating a carbon emission influence value SYu of the monitored area
Calculating to obtain an improved value GSu of the carbon emission in the monitoring area, finally obtaining the occupation ratio XCZu of the emerging industry and the occupation ratio XNZu of the new energy vehicle in the monitoring area, and substituting the carbon emission influence value TYu, the improved value GSu, the occupation ratio XCZu of the emerging industry and the occupation ratio XNZu of the new energy vehicle into a calculation formula
Calculating to obtain an early warning value YJu of carbon emission in the monitoring area, and sending the early warning value to an early warning defining module 3 by the intelligent statistical module 4;
the early warning defining module 3 receives the early warning value sent by the intelligent statistics module 4, the early warning defining module 3 defines the carbon emission amount of the monitoring area, an early warning threshold YYYJu of the monitoring area is obtained, the early warning value YJu is calculated to subtract the early warning threshold YYJu to obtain an early warning difference value CYJu, if CYJu is smaller than X1, a mild early warning signal is generated, a corresponding early warning coefficient alpha is set, if X1 is smaller than or equal to CYJu and smaller than X2, a moderate early warning signal is set, a corresponding early warning coefficient alpha is set, if X2 is smaller than or equal to CYJu, an emergency early warning signal is generated, a corresponding early warning coefficient alpha is set, the early warning defining module 3 sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the server 6, and the server 6 sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the safety maintenance module 2;
after the safety maintenance module 2 receives the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients sent by the server 6, the safety maintenance module 2 performs safety maintenance on the carbon emission amount of the monitored area to obtain WRu total number of current maintainers, JSu total number of detection equipment and JCu total number of detection times in the monitored area, so as to obtain JWRu number of average detectors and JJSu number of average detection equipment in each detection, and a formula WHu is JWRu × c1+ JJSu × c2 to calculate a current maintenance value WHu in the monitored area; in the formula, c1 and c2 are both fixed weight coefficient values, and the values of c1 and c2 are both greater than zero, the corresponding early warning coefficient α is obtained according to the early warning signal of the monitored area, the current maintenance value WHu of the monitored area is multiplied by the early warning coefficient α to obtain the current safety value AQu of the monitored area, if the current safety value AQu of the monitored area is greater than or equal to the safety threshold YAQu of the monitored area, the maintenance strength of the monitored area does not need to be adjusted, if the current safety value AQu of the monitored area is smaller than the safety threshold YAQu of the monitored area, the maintenance strength of the monitored area needs to be adjusted, and a safety maintenance adjustment signal is generated, if the safety maintenance adjustment signal is generated, the safety maintenance module 2 sends the safety maintenance adjustment signal to the server 6, and the server 6 adjusts the maintenance strength of the monitored area according to the safety maintenance adjustment signal.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The utility model provides a carbon emission early warning system in single region in city which characterized in that includes: the system comprises a data acquisition module, a safety maintenance module, an early warning definition module, an intelligent statistics module, an area division module and a server;
the area dividing module is used for dividing an urban area into a plurality of monitoring areas and sending the monitoring areas to the server and the intelligent statistical module;
the intelligent statistical module is used for calculating the early warning value of the carbon emission in the monitoring area sent by the area dividing module, and the calculation steps are as follows:
the method comprises the following steps: marking the monitoring area as u, u is 1,2, … …, z, z is a positive integer;
step two: acquiring the population number in the monitored area, and marking the population number as RKu; acquiring the number of real-time vehicles in a monitoring area, and marking the real-time vehicles as CLu; acquiring the number of buildings in a monitored area, and marking the number of the buildings as JZu;
step three: calculating a carbon emission influence value TYu of the monitored area by using a formula TYu-RKu × a1+ CLu × a2+ JZu × a 3; in the formula, a1, a2 and a3 are all weight coefficient fixed numerical values, a1, a2 and a3 are all greater than zero, and a1+ a2+ a3 is equal to 1;
step four: acquiring the green planting area in the monitoring area, and marking the green planting area as LZu; acquiring a water source location in a monitored area, and marking the water source location as SYu;
step five: using formulas
Calculating to obtain an improved value GSu of carbon emission in the monitoring area; in the formula, a4 and a5 are both proportional coefficient fixed values, the values of a4 and a5 are both greater than zero, and e is a natural constant;
step six: acquiring the occupation ratio of emerging industries in a monitoring area, and marking the occupation ratio of the emerging industries as XCZu; acquiring the number of new energy vehicles in the number of real-time vehicles in a monitoring area, wherein the new energy vehicle ratio obtains a new energy vehicle ratio XNZu for the number of the real-time vehicles;
step seven: substituting the carbon emission impact value TYu, the improvement value GSu, the emerging industry ratio XCZu and the new energy vehicle ratio XNZu into a calculation formula
Calculating to obtain carbon emission in monitored areaAn early warning value YJu;
the intelligent statistical module sends the early warning value to the early warning defining module, and the early warning defining module is used for defining the carbon emission of a monitoring area according to the received early warning value to define and obtain a mild early warning signal, a moderate early warning signal, an emergency early warning signal and corresponding early warning coefficients;
the early warning definition module sends a mild early warning signal, a moderate early warning signal, an emergency early warning signal and corresponding early warning coefficients to the server;
the server sends the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients to the safety maintenance module;
after receiving the mild early warning signal, the moderate early warning signal, the emergency early warning signal and the corresponding early warning coefficients sent by the server, the safety maintenance module carries out safety maintenance on the carbon emission of the monitored area and judges whether the maintenance intensity of the monitored area needs to be adjusted;
if the maintenance intensity of the monitoring area needs to be adjusted, a safety maintenance adjusting signal is generated, meanwhile, the safety maintenance module sends the safety maintenance adjusting signal to the server, and the server adjusts the maintenance intensity of the monitoring area according to the safety maintenance adjusting signal.
2. The urban single-area carbon emission early warning system according to claim 1, wherein the emerging industries comprise modern logistics and manufacturing industry, high and new technology industry, modern financial insurance industry, cultural tourism industry and electronic information industry.
3. The system of claim 1, wherein the server stores early warning data of each monitoring area in the urban area, and the early warning data comprises early warning threshold values of the monitoring areas.
4. The system of claim 1, wherein the early warning definition module defines a process that includes:
step S1: acquiring an early warning threshold value of a monitoring area, and marking the early warning threshold value as YYJu;
step S2: subtracting the early warning threshold YYJu from the early warning value YJu to obtain an early warning difference value CYJu;
step S3: if CYJu is less than X1, generating a mild early warning signal, and setting a corresponding early warning coefficient alpha;
if X1 is not more than CYJu and is less than X2, generating a moderate early warning signal and setting a corresponding early warning coefficient alpha;
if X2 is less than or equal to CYJu, generating an emergency early warning signal, and setting a corresponding early warning coefficient alpha; wherein, X1 and X2 are both preset fixed values, X1 is less than X2, and alpha is a preset fixed value.
5. The urban single-region carbon emission early warning system according to claim 4, wherein the early warning coefficient of the mild early warning signal is smaller than the early warning coefficient of the moderate early warning signal, and the early warning coefficient of the moderate early warning signal is smaller than the early warning coefficient of the emergency early warning signal.
6. The early warning system for carbon emission in single city area according to claim 1, wherein the safety maintenance step of the safety maintenance module specifically comprises:
step SS 1: acquiring the total number WRu of current maintenance personnel, the total number JSu of detection equipment and the total number JCu of detection in a monitored area;
step SS 2: acquiring the number of maintainers in each detection, adding and summing the number of maintainers in each detection and dividing the sum by the total detection times to obtain the average number JWRu of detected persons; acquiring the number of detection devices in each detection, adding and summing the number of detection devices in each detection, and dividing the sum by the total detection times to obtain the average number JJJSU of the detection devices;
step SS 3: calculating to obtain a current maintenance value WHu of the monitored area by using a formula WHu which is JWRu × c1+ JJJSu × c 2; in the formula, c1 and c2 are both fixed numerical values of weight coefficients, and the values of c1 and c2 are both greater than zero;
step SS 4: acquiring a corresponding early warning coefficient alpha according to the early warning signal of the monitoring area; multiplying the current maintenance value WHu of the monitoring area by an early warning coefficient alpha to obtain a current safety value AQu of the monitoring area;
step SS 5: if the current safety value AQu of the monitoring area is greater than or equal to the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area does not need to be adjusted;
if the current safety value AQu of the monitoring area is smaller than the safety threshold YAQu of the monitoring area, the maintenance intensity of the monitoring area needs to be adjusted, and a safety maintenance adjustment signal is generated.
7. The early warning system for carbon emission in single city area according to claim 6, wherein the adjustment measure of the maintenance force is as follows: and adjusting the total number of maintenance personnel, the total number of detection equipment, the total detection times, the number of maintenance personnel in each detection and the number of detection equipment in each detection in the monitoring area.
Priority Applications (1)
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115376296A (en) * | 2022-08-23 | 2022-11-22 | 泉州年盛信息科技有限公司 | Production fault early warning system based on industrial internet |
| CN116026418A (en) * | 2023-03-23 | 2023-04-28 | 山东石油化工学院 | Carbon emission checking on-line monitoring system for petrochemical industry |
| CN116907171A (en) * | 2023-06-21 | 2023-10-20 | 浙江乾山制冷科技有限公司 | Energy-saving control system of low-temperature refrigeration house |
| CN116933983A (en) * | 2023-09-19 | 2023-10-24 | 江西财经大学 | Low-carbon emission data monitoring system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115376296A (en) * | 2022-08-23 | 2022-11-22 | 泉州年盛信息科技有限公司 | Production fault early warning system based on industrial internet |
| CN116026418A (en) * | 2023-03-23 | 2023-04-28 | 山东石油化工学院 | Carbon emission checking on-line monitoring system for petrochemical industry |
| CN116026418B (en) * | 2023-03-23 | 2023-09-22 | 山东石油化工学院 | Carbon emission checking on-line monitoring system for petrochemical industry |
| CN116907171A (en) * | 2023-06-21 | 2023-10-20 | 浙江乾山制冷科技有限公司 | Energy-saving control system of low-temperature refrigeration house |
| CN116933983A (en) * | 2023-09-19 | 2023-10-24 | 江西财经大学 | Low-carbon emission data monitoring system and method |
| CN116933983B (en) * | 2023-09-19 | 2024-01-23 | 江西财经大学 | Low-carbon emission data monitoring system and method |
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