CN115456848A - Carbon popularity analysis and evaluation system based on big data - Google Patents
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Abstract
The invention discloses a carbon popularization analysis and evaluation system based on big data, which relates to the technical field of carbon popularization analysis and evaluation and solves the technical problem that in the prior art, multiple efficiency analysis cannot be carried out on a region for developing carbon popularization to cause that targeted rectification cannot be carried out when the carbon popularization is abnormally developed; whether the efficiency of improving of consuming after judging that the test point selected area carries out carbon hewlett packard is qualified is improved to the analysis of efficiency of improving of will corresponding test point selected area to monitoring carbon hewlett packard efficiency of executing, having improved and executed the supervision dynamics, be favorable to carrying out timely management and control when the executive process is unusual, prevent that the inefficiency from carrying out and causing the increase of ineffective cost.
Description
Technical Field
The invention relates to the technical field of carbon offer analysis and evaluation, in particular to a carbon offer analysis and evaluation system based on big data.
Background
The low carbon interest is one of the environmental interests, and the carbon offer is the low carbon interest and the detailed expression of the public. Carbon Puhui is an incentive mechanism established to confer value on energy-saving and carbon-reducing behaviors of citizens and small micro-enterprises. Encourages the public to voluntarily practice low carbon, stimulates the public and enterprises with less resource occupation or contributing to the establishment of a low carbon society, and achieves the aim of actively participating in energy conservation and emission reduction by the public by utilizing the market allocation effect. Meanwhile, the consumption end drives the production end to be low-carbon, and the demand side promotes the technical innovation of the supply side.
However, in the prior art, the area where the carbon booms are developed cannot be accurately selected, so that the efficiency of developing the carbon booms is affected, and meanwhile, various efficiency analyses cannot be performed on the area where the carbon booms are developed, so that the targeted mortgage cannot be performed when the carbon booms are developed abnormally, and the efficiency of the carbon booms is reduced.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a carbon boon analysis and evaluation system based on big data, which analyzes the developing efficiency of the carbon boons in a test point selection area, judges whether the developing efficiency of the carbon boons in the current test point selection area is qualified or not, thereby accurately analyzing the problems existing in the execution of the carbon boons, and improving the pertinence of the carbon boon so as to ensure the execution efficiency of the carbon boons; and the feasibility analysis is carried out on the carbon offer in the trial point selection area, so that the accuracy and stability of the development of the carbon offer are improved, the development efficiency of the carbon offer is improved, the risk of development failure is reduced, and the unnecessary cost increase of development is convenient to control.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a carbon prosperous analysis and evaluation system based on big data, includes the server, and the server communication is connected with:
the device comprises a test point selection and analysis unit, a test point selection and analysis unit and a test point selection and analysis unit, wherein the test point selection and analysis unit is used for selecting and analyzing a carbon Hewlett packard region, dividing the carbon Hewlett packard region into i sub-regions, wherein i is a natural number greater than 1, obtaining a test point region selection and analysis coefficient of each sub-region through analysis, and dividing the sub-regions into a test point selection region and a non-test point selection region according to the comparison of the test point region selection and analysis coefficients;
the consumption improvement efficiency analysis unit is used for analyzing the consumption improvement efficiency of the corresponding test point selection area, acquiring the carbon Hewlett packard execution time period in the test point selection area, marking the carbon Hewlett packard execution time period as an execution time period, generating an efficiency improvement abnormal signal and an efficiency improvement normal signal through analysis, and sending the efficiency improvement abnormal signal and the efficiency improvement normal signal to the server;
the developing efficiency analysis unit is used for analyzing the carbon popularization developing efficiency in the test point selection area, generating a developing efficiency qualified signal and a developing efficiency unqualified signal through analysis, and sending the developing efficiency qualified signal and the developing efficiency unqualified signal to the server;
and the executable efficiency analysis unit is used for performing feasibility analysis on the carbon benefits in the test point selection area, generating a feasibility analysis qualified signal, a feasibility analysis unqualified signal and a promotion strength analysis unqualified signal through analysis, and sending the signals to the server.
As a preferred embodiment of the present invention, the operation process of the pilot selection analysis unit is as follows:
acquiring the growth speed of the peak value of the consumed energy in each sub-area and the continuous growth frequency of the consumed energy; acquiring the maximum difference of energy consumption in the whole day time period in each sub-area; selecting an analysis coefficient by analyzing and acquiring a test point region of each sub-region; comparing the test point region selection analysis coefficient Xi of each sub-region with a test point region selection analysis coefficient threshold value:
if the test point area selection analysis coefficient of the sub-area exceeds the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a test point selection area, and sending the corresponding number of the test point selection area to the server; and if the test point area selection analysis coefficient of the sub-area does not exceed the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a non-test point selection area, and sending the corresponding number of the non-test point selection area to the server.
As a preferred embodiment of the present invention, the consumption improvement efficiency analysis unit operates as follows:
collecting the corresponding energy consumption valley value descending amplitude of the test point selection area in the application time period and the corresponding energy consumption ascending speed reducing value in the test point selection area, and comparing the energy consumption descending amplitude and the energy consumption ascending speed reducing value with a descending amplitude threshold value and a speed reducing value threshold value respectively:
if the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period does not exceed the descending amplitude threshold value, or the corresponding energy consumption ascending speed reducing value in the test point selection area does not exceed the speed reducing value threshold value, generating an efficiency improving abnormal signal and sending the efficiency improving abnormal signal to a server; and if the corresponding energy consumption valley value descending amplitude of the test point selection area exceeds the descending amplitude threshold value and the corresponding energy consumption ascending speed reducing value of the test point selection area exceeds the speed reducing value threshold value in the implementation time period, generating a normal efficiency improving signal and sending the normal efficiency improving signal to the server.
As a preferred embodiment of the present invention, the operation procedure of the efficiency analysis unit is developed as follows:
collecting energy-saving operation of a user corresponding to the test point selection area in an implementation time period, and marking the energy-saving operation as an implementation event; and collecting rewards acquired by users through energy-saving operation corresponding to the test point selection area in the execution time period, and marking the rewards as return events.
As a preferred embodiment of the present invention, the ratio of the number of execution events to the number of return events and the ratio of the corresponding speed of the increase of the number of execution events to the speed of the increase of the number of return events in the trial selection area within the execution time period are collected and compared with the threshold range of the number ratio and the threshold range of the speed ratio, respectively:
if the ratio of the number of the execution events to the number of the return events in the test point selection area in the execution time period is in the threshold range of the number ratio, and the ratio of the corresponding increase speed of the execution events to the increase speed of the number of the return events is in the threshold range of the speed ratio, generating a development efficiency qualified signal and sending the development efficiency qualified signal and the number of the corresponding test point selection area to the server;
and if the ratio of the number of the execution events to the number of the return events in the test point selection area in the execution time period is not in the threshold range of the number ratio, or the ratio of the corresponding increase speed of the execution events to the increase speed of the number of the return events is not in the threshold range of the speed ratio, generating a signal with unqualified development efficiency and sending the signal with unqualified development efficiency and the number of the corresponding test point selection area to the server together.
As a preferred embodiment of the present invention, the operation of the executable efficiency analysis unit is as follows:
the method comprises the following steps of collecting the number of times of carbon general propaganda in an implementation time period and the execution probability of a corresponding user after receiving propaganda, and comparing the number of times of carbon general propaganda with a threshold value of the number of times of propaganda and a threshold value of the execution probability respectively:
if the number of carbon general propaganda times in the implementation time period exceeds the propaganda time threshold, the execution probability of the corresponding user after receiving propaganda exceeds the execution probability threshold, or the number of carbon general propaganda times in the implementation time period does not exceed the propaganda time threshold, and the execution probability of the corresponding user after receiving propaganda exceeds the execution probability threshold, generating a feasibility analysis qualified signal and sending the feasibility analysis qualified signal and the corresponding test point selection area number to the server;
if the number of carbon general propaganda times in the implementation time period exceeds the propaganda time threshold and the implementation probability does not exceed the implementation probability threshold after the corresponding user receives the propaganda, generating a feasibility analysis unqualified signal and sending the feasibility analysis unqualified signal and the corresponding test point selection area number to the server; and if the number of the carbon general propaganda times in the implementation time period does not exceed the threshold of the number of the propaganda times and the execution probability does not exceed the threshold of the execution probability after the corresponding user receives the propaganda, generating an unqualified propaganda strength analysis signal and sending the unqualified propaganda strength analysis signal and the corresponding test point selection area number to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the regional test point selection of the carbon Hewlett packard is analyzed, and whether the regional test point selection is reasonable or not is judged, so that the qualification of developing the carbon Hewlett packard is improved, the rationality of developing the carbon Hewlett packard is enhanced, and the condition that the developing efficiency of the carbon Hewlett packard is low due to unreasonable regional test point selection and unnecessary cost loss is caused is prevented; analyzing the consumption improvement efficiency of the corresponding test point selection area, and judging whether the consumption improvement efficiency is qualified or not after the test point selection area executes the carbon Hewlett packard, thereby monitoring the execution efficiency of the carbon Hewlett packard, improving the execution supervision, being beneficial to timely managing and controlling the abnormal execution process, and preventing the invalid cost increase caused by the inefficient execution;
2. according to the invention, the carbon boon developing efficiency in the test point selection area is analyzed, and whether the carbon boon developing efficiency in the current test point selection area is qualified or not is judged, so that the problems in carbon boon execution are accurately analyzed, and the pertinence of carbon boon rectification is improved, so that the carbon boon execution efficiency can be ensured; and the feasibility analysis is carried out on the carbon offer in the trial point selection area, so that the accuracy and stability of the development of the carbon offer are improved, the development efficiency of the carbon offer is improved, the risk of development failure is reduced, and the unnecessary cost increase of development is convenient to control.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a big data-based carbon popularity analysis and evaluation system according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, a big data-based carbon popularity analysis and evaluation system includes a server, the server is in communication connection with a test point selection analysis unit, a consumption improvement efficiency analysis unit, a development efficiency analysis unit, and an executable efficiency analysis unit, wherein the server, the test point selection analysis unit, the consumption improvement efficiency analysis unit, the development efficiency analysis unit, and the executable efficiency analysis unit are in bidirectional communication connection;
the server generates a test point selection analysis signal and sends the test point selection analysis signal to the test point selection analysis unit, and the test point selection analysis unit receives the test point selection analysis signal, analyzes the regional test point selection of the carbon Hewlett packard and judges whether the regional test point selection is reasonable or not, so that the qualification of developing the carbon Hewlett packard is improved, the rationality of developing the carbon Hewlett packard is enhanced, the condition that the regional test point selection is unreasonable, the developing efficiency of the carbon Hewlett packard is low and unnecessary cost loss is caused is prevented;
dividing a region for executing the carbon Hewlett packard into i sub-regions, wherein i is a natural number larger than 1, acquiring the growth speed of a daily peak value corresponding to the consumed energy in each sub-region and the continuous growth frequency of the consumed energy, and respectively marking the growth speed of the daily peak value corresponding to the consumed energy in each sub-region and the continuous growth frequency of the consumed energy as ZZVi and CXPi; acquiring the maximum difference of the consumed energy in the whole-day time period in each sub-area, and marking the maximum difference of the consumed energy in the whole-day time period in each sub-area as ZDCI; energy consumption sources in the subareas are expressed as energy sources such as electricity consumption, water consumption, gas consumption and the like of users in the subareas;
it can be understood that the increasing speed of the peak value of the consumed energy in the sub-area corresponding to each day and the continuous increasing frequency of the consumed energy indicate the trend of energy consumption in the sub-area, whether the carbon HP needs to be executed in the current area is judged according to the increasing trend of the consumption trend, so that the test point area is reasonably selected, whether the floating space exists in the energy in the corresponding sub-area is judged according to the maximum difference value of the consumed energy in the whole day time period in the sub-area, and the normal operation of the area is prevented from being influenced when the carbon HP is executed in the test point area, so that the execution efficiency of the carbon HP is reduced; in the application, the sub-region can be used as a test point region when the corresponding parameter value in the formula is too large;
by the formula
Obtaining a test point area selection analysis coefficient Xi of each sub-area, wherein a1, a2 and a3 are all preset proportionality coefficients, a1 is more than a2 and more than a3 is more than 0, beta is an error correction factor and takes the value of 0.9875;
comparing the test point region selection analysis coefficient Xi of each sub-region with a test point region selection analysis coefficient threshold value:
if the test point area selection analysis coefficient Xi of the sub-area exceeds the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a test point selection area, and sending the corresponding number of the test point selection area to the server;
if the test point area selection analysis coefficient Xi of the sub-area does not exceed the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a non-test point selection area, and sending a corresponding number of the non-test point selection area to the server;
after receiving the corresponding numbers of the test point selection area and the non-test point selection area, the server selects the carbon Hewlett packard test point area according to the type of the sub-area, generates a consumption improvement efficiency analysis signal and sends the consumption improvement efficiency analysis signal to a consumption improvement efficiency analysis unit after the test point area selection is completed, the consumption improvement efficiency analysis unit analyzes the consumption improvement efficiency of the corresponding test point selection area after receiving the consumption improvement efficiency analysis signal, and judges whether the consumption improvement efficiency is qualified after the carbon Hewlett packard is executed by the test point selection area, so that the carbon Hewlett packard execution efficiency is monitored, the execution supervision is enhanced, timely management and control can be performed when the execution process is abnormal, and the invalid cost increase caused by the inefficient execution is prevented;
acquiring a carbon Hewlett packard execution time period in the test point selection area, marking the carbon Hewlett packard execution time period as an implementation time period, acquiring the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period and the corresponding energy consumption ascending speed slowing value in the test point selection area, and comparing the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period and the corresponding energy consumption ascending speed slowing value in the test point selection area with a descending amplitude threshold value and a speed slowing value threshold value respectively:
if the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period does not exceed the descending amplitude threshold value, or the corresponding energy consumption ascending speed reducing value in the test point selection area does not exceed the speed reducing value threshold value, judging that the carbon Hewlett packard improvement efficiency in the current test point selection area is unqualified, generating an improvement efficiency abnormal signal and sending the improvement efficiency abnormal signal to a server;
if the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period exceeds the descending amplitude threshold value and the corresponding energy consumption ascending speed reducing value in the test point selection area exceeds the speed reducing value threshold value, judging that the carbon Hewlett packard improvement efficiency in the current test point selection area is qualified, generating an improvement efficiency normal signal and sending the improvement efficiency normal signal to the server;
the server generates a developing efficiency analysis signal and sends the developing efficiency analysis signal to the developing efficiency analysis unit, and the developing efficiency analysis unit analyzes the developing efficiency of the carbon booms in the test point selection area after receiving the developing efficiency analysis signal, and judges whether the developing efficiency of the carbon booms in the current test point selection area is qualified or not, so that the problems of carbon booms in execution can be accurately analyzed, the pertinence of carbon booms is improved, and the execution efficiency of the carbon booms can be ensured;
collecting energy-saving operation of a user corresponding to a test point selection area in an implementation time period, and marking the energy-saving operation as an execution event, wherein the energy-saving operation is represented as energy-saving operation in the prior art, such as controlling the specification of energy-consuming equipment or controlling energy-consuming time and the like; collecting rewards acquired by a user through energy-saving operation corresponding to the test point selection area in the implementation time period, marking the rewards as return events, and expressing the rewards as commercial benefits acquired by the user through the energy-saving operation or exchange public services and the like;
acquiring the ratio of the number of executing events to the number of return events and the ratio of the corresponding speed of executing events to the speed of increasing the number of return events in a test point selection area in an implementation time period, and comparing the ratio of the number of executing events to the number of return events and the ratio of the corresponding speed of executing events to the speed of increasing the number of return events in the test point selection area in the implementation time period with a threshold range of the number ratio and a threshold range of the speed ratio respectively:
if the ratio of the number of the execution events to the number of the return events in the test point selection area in the execution time period is in the threshold range of the number ratio, and the ratio of the corresponding increase speed of the execution events to the increase speed of the number of the return events is in the threshold range of the speed ratio, judging that the carbon promotion development efficiency in the current test point selection area is qualified, generating a development efficiency qualified signal and sending the development efficiency qualified signal and the corresponding test point selection area number to the server;
if the ratio of the number of the execution events to the number of the return events in the test point selection area in the execution time period is not in the threshold range of the number ratio, or the ratio of the corresponding speed of the increase of the number of the execution events to the speed of the increase of the number of the return events is not in the threshold range of the speed ratio, judging that the carbon-general developing efficiency in the current test point selection area is unqualified, generating a developing efficiency unqualified signal and sending the developing efficiency unqualified signal and the corresponding test point selection area number to the server together;
the server generates an executable efficiency analysis signal and sends the executable efficiency analysis signal to the executable efficiency analysis unit, and the executable efficiency analysis unit executes feasibility analysis on the carbon benefits in the test point selection area after receiving the executable efficiency analysis signal, so that the accuracy and stability of carbon benefits development are improved, the efficiency of the carbon benefits development is improved, the risk of development failure is reduced, and unnecessary cost increase of the development is controlled conveniently;
the number of times of the carbon general propaganda in the execution time period and the execution probability after the corresponding user receives the propaganda are collected, and the number of times of the carbon general propaganda in the execution time period and the execution probability after the corresponding user receives the propaganda are respectively compared with the threshold value of the number of times of the propaganda and the threshold value of the execution probability:
if the number of carbon general propaganda times in the implementation time period exceeds the propaganda time threshold, the execution probability of the corresponding user after receiving propaganda exceeds the execution probability threshold, or the number of carbon general propaganda times in the implementation time period does not exceed the propaganda time threshold, and the execution probability of the corresponding user after receiving propaganda exceeds the execution probability threshold, judging that the feasibility analysis of the current test point selection area is qualified, generating a feasibility analysis qualified signal and sending the feasibility analysis qualified signal and the corresponding test point selection area number to the server;
if the number of carbon general propaganda times in the implementation time period exceeds the propaganda time threshold and the execution probability does not exceed the execution probability threshold after the corresponding user receives the propaganda, judging that the feasibility analysis of the current test point selection area is unqualified, generating a feasibility analysis unqualified signal and sending the feasibility analysis unqualified signal and the number of the corresponding test point selection area to the server;
if the number of carbon general propaganda times in the implementation time period does not exceed the threshold of the number of propaganda times and the execution probability does not exceed the threshold of the execution probability after the corresponding user receives the propaganda, judging that the propaganda strength of the current test point selection area is unqualified, generating a signal of unqualified propaganda strength analysis and sending the signal of unqualified propaganda strength analysis and the number of the corresponding test point selection area to the server;
and after receiving the abnormal efficiency improving signal, the unqualified efficiency developing signal, the unqualified feasibility analysis signal and the unqualified propaganda strength analysis signal, the server performs targeted rectification on the carbon popularization execution process in the test point selection area corresponding to the number.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the carbon Hewlett packard test point selection analysis device is used, a test point selection analysis unit is used for selecting and analyzing a carbon Hewlett packard region, the carbon Hewlett packard region is divided into i sub-regions, a test point region selection analysis coefficient of each sub-region is obtained through analysis, and the sub-regions are divided into a test point selection region and a non-test point selection region according to the comparison of the test point region selection analysis coefficients; analyzing the consumption improvement efficiency of the corresponding test point selection area through a consumption improvement efficiency analysis unit, acquiring the execution time period of the carbon Hewlett packard in the test point selection area, marking the execution time period as an execution time period, generating an efficiency improvement abnormal signal and an efficiency improvement normal signal through analysis, and sending the efficiency improvement abnormal signal and the efficiency improvement normal signal to a server; analyzing the carbon popularization development efficiency in the test point selection area through a development efficiency analysis unit, generating a development efficiency qualified signal and a development efficiency unqualified signal through analysis, and sending the development efficiency qualified signal and the development efficiency unqualified signal to a server; and performing feasibility analysis on the carbon offer in the test point selection area through an executable efficiency analysis unit, generating a feasibility analysis qualified signal, a feasibility analysis unqualified signal and a propaganda strength analysis unqualified signal through analysis, and sending the signals to a server.
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 (6)
1. The utility model provides a carbon prosperous analysis evaluation system based on big data which characterized in that, includes the server, and the server communication is connected with:
the device comprises a test point selection and analysis unit, a test point selection and analysis unit and a test point selection and analysis unit, wherein the test point selection and analysis unit is used for selecting and analyzing the regional test points of the carbon Hewlett packard, dividing the region for executing the carbon Hewlett packard into i sub-regions, wherein i is a natural number greater than 1, obtaining a test point region selection and analysis coefficient of each sub-region through analysis, and dividing the sub-regions into a test point selection region and a non-test point selection region according to the comparison of the test point region selection and analysis coefficients;
the consumption improvement efficiency analysis unit is used for analyzing the consumption improvement efficiency of the corresponding test point selection area, acquiring the carbon Hewlett packard execution time period in the test point selection area, marking the carbon Hewlett packard execution time period as an execution time period, generating an efficiency improvement abnormal signal and an efficiency improvement normal signal through analysis, and sending the efficiency improvement abnormal signal and the efficiency improvement normal signal to the server;
the developing efficiency analysis unit is used for analyzing the carbon popularization developing efficiency in the test point selection area, generating a developing efficiency qualified signal and a developing efficiency unqualified signal through analysis, and sending the developing efficiency qualified signal and the developing efficiency unqualified signal to the server;
and the executable efficiency analysis unit is used for performing feasibility analysis on the carbon populace in the test point selection area, generating a feasibility analysis qualified signal, a feasibility analysis unqualified signal and a propaganda strength analysis unqualified signal through analysis, and sending the signals to the server.
2. The big-data-based carbon popularity analysis and evaluation system as claimed in claim 1, wherein the test point selection and analysis unit operates as follows:
acquiring the growth speed of the peak value of the consumed energy in each sub-area and the continuous growth frequency of the consumed energy; acquiring the maximum difference of the consumed energy in the whole day time period in each sub-area; selecting an analysis coefficient by analyzing and acquiring a test point region of each sub-region; comparing the test point region selection analysis coefficient Xi of each sub-region with a test point region selection analysis coefficient threshold value:
if the test point area selection analysis coefficient of the sub-area exceeds the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a test point selection area, and sending the corresponding number of the test point selection area to the server; and if the test point area selection analysis coefficient of the sub-area does not exceed the test point area selection analysis coefficient threshold, marking the corresponding sub-area as a non-test point selection area, and sending the corresponding number of the non-test point selection area to the server.
3. The big-data-based carbon popularity analysis and assessment system according to claim 1, wherein the consumption improvement efficiency analysis unit operates as follows:
collecting the corresponding energy consumption valley value descending amplitude of the test point selection area and the corresponding energy consumption ascending speed reducing value of the test point selection area in the implementation time period, and comparing the energy consumption valley value descending amplitude value and the corresponding energy consumption ascending speed reducing value with a descending amplitude threshold value and a speed reducing value threshold value respectively:
if the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period does not exceed the descending amplitude threshold value, or the corresponding energy consumption ascending speed reducing value in the test point selection area does not exceed the speed reducing value threshold value, generating an efficiency improving abnormal signal and sending the efficiency improving abnormal signal to a server; and if the corresponding energy consumption valley value descending amplitude of the test point selection area in the implementation time period exceeds the descending amplitude threshold value and the corresponding energy consumption ascending speed reducing value in the test point selection area exceeds the speed reducing value threshold value, generating an efficiency improving normal signal and sending the efficiency improving normal signal to the server.
4. The big-data-based carbon popularity analysis and assessment system according to claim 1, wherein the operation of the efficiency analysis unit is as follows:
collecting energy-saving operation of a user corresponding to the test point selection area in an implementation time period, and marking the energy-saving operation as an implementation event; and collecting rewards acquired by users through energy-saving operation corresponding to the test point selection area in the execution time period, and marking the rewards as return events.
5. The big-data-based carbon popularity analysis and assessment system according to claim 4, wherein a ratio of a number of execution events to a number of return events and a corresponding ratio of a rate of increase of the number of execution events to a rate of increase of the number of return events in a point-of-sale selection area within an administration time period are collected and compared with a number-ratio threshold range and a rate-ratio threshold range, respectively:
if the ratio of the number of the execution events to the number of the return events in the test point selection area in the execution time period is within the threshold range of the number ratio, and the ratio of the corresponding increase speed of the execution events to the increase speed of the number of the return events is within the threshold range of the speed ratio, generating a development efficiency qualified signal and sending the development efficiency qualified signal and the number of the corresponding test point selection area to the server;
and if the ratio of the quantity of the execution events to the quantity of the return events in the test point selection area in the execution time period is not in the threshold range of the quantity ratio, or the ratio of the corresponding speed of the increase of the quantity of the execution events to the speed of the increase of the quantity of the return events is not in the threshold range of the speed ratio, generating a signal with unqualified development efficiency and sending the signal with unqualified development efficiency and the number of the corresponding test point selection area to the server together.
6. The big-data-based carbon popularity analysis and assessment system according to claim 1, wherein the executable efficiency analysis unit operates as follows:
the method comprises the following steps of collecting the number of times of carbon general propaganda in an implementation time period and the execution probability of a corresponding user after receiving propaganda, and comparing the number of times of carbon general propaganda with a threshold value of the number of times of propaganda and a threshold value of the execution probability respectively:
if the number of times of the carbon general propaganda in the implementation time period exceeds the propaganda number threshold value, and the execution probability of the corresponding user after receiving the propaganda exceeds the execution probability threshold value, or the number of times of the carbon general propaganda in the implementation time period does not exceed the propaganda number threshold value, and the execution probability of the corresponding user after receiving the propaganda exceeds the execution probability threshold value, generating a feasibility analysis qualified signal and sending the feasibility analysis qualified signal and the corresponding test point selection area number to a server;
if the number of carbon general propaganda times in the implementation time period exceeds the propaganda time threshold and the implementation probability does not exceed the implementation probability threshold after the corresponding user receives the propaganda, generating a feasibility analysis unqualified signal and sending the feasibility analysis unqualified signal and the corresponding test point selection area number to the server; and if the number of the carbon general propaganda times in the implementation time period does not exceed the threshold of the number of the propaganda times and the execution probability does not exceed the threshold of the execution probability after the corresponding user receives the propaganda, generating an unqualified propaganda strength analysis signal and sending the unqualified propaganda strength analysis signal and the corresponding test point selection area number to the server.
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Application publication date: 20221209 |