CN114236054B - Enterprise unorganized emission behavior detection and identification method and system based on big data - Google Patents

Enterprise unorganized emission behavior detection and identification method and system based on big data Download PDF

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CN114236054B
CN114236054B CN202111549977.5A CN202111549977A CN114236054B CN 114236054 B CN114236054 B CN 114236054B CN 202111549977 A CN202111549977 A CN 202111549977A CN 114236054 B CN114236054 B CN 114236054B
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孙艺
高慧
刘传昌
王天棋
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Beijing University of Posts and Telecommunications
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Abstract

The invention provides a big data-based enterprise unorganized emission behavior detection and identification method and system. The method comprises the following steps: acquiring current gas data emitted by an enterprise in real time, and establishing a violation determination model for violation gas emission according to the gas data; and detecting the gas data discharged by the follow-up enterprises by using the violation determination model, and identifying the condition that the gas discharge condition of the enterprises does not accord with the national standard. The system comprises modules corresponding to the method steps.

Description

Enterprise unorganized emission behavior detection and identification method and system based on big data
Technical Field
The invention provides an enterprise unorganized emission behavior detection and identification method and system based on big data, and belongs to the technical field of gas detection.
Background
One of the important monitoring objects of environmental protection when the industrial gas emission of enterprises is consistent is that the current enterprise unorganized gas emission basically collects the specific gas concentration data of the emitted gas in real time, and then the fact is compared with the national standard, and the comparison mode increases the data processing amount of the gas detection system, so that the detection efficiency of the gas data is lower, and meanwhile, the error of data detection is increased, and the gas detection accuracy is lower.
Disclosure of Invention
The invention provides a big data-based method and a big data-based system for detecting and identifying the unorganized emission behavior of an enterprise, which are used for solving the problems of large data processing amount and low gas detection efficiency and accuracy rate of the existing gas detection:
a big data-based enterprise unorganized emission behavior detection and identification method, the method comprising:
acquiring current gas data emitted by an enterprise in real time, and establishing a violation determination model for violation gas emission according to the gas data;
and detecting the gas data discharged by the follow-up enterprises by using the violation determination model, and identifying the condition that the gas discharge condition of the enterprises does not accord with the national standard.
Further, the collecting, in real time, gas data currently emitted by the enterprise, and establishing a violation determination model for the violation-emitting gas through the gas data includes:
acquiring current gas data discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data;
comparing the preprocessed data with corresponding gas emission indexes specified by national standards, and acquiring illegal emission gas data which does not accord with the corresponding gas emission indexes specified by the national standards;
and modeling by using the illegal exhaust gas data to obtain an illegal determination model aiming at the illegal exhaust gas.
Further, the method for collecting the current gas emission data of the enterprise in real time comprises the following steps:
according to the type of gas to be collected by an enterprise, grouping each gas collection module aiming at gas collection to obtain m gas collection groups; wherein the number of gas collection groups is determined by the formula:
Figure GDA0003754654240000011
Figure GDA0003754654240000012
wherein, C m The number of the gas collection modules contained in each group of gas collection groups is represented; w represents the total number of the gas acquisition modules, and H represents the total number of data transmission channels which can be utilized by the acquired gas data for data transmission; int () represents a rounding function;
sending the acquired gas data information in each group of gas acquisition groups to a data cache module corresponding to each gas acquisition group, wherein the data cache module is arranged at the gas acquisition side, and the number of the data cache modules is the same as that of the gas acquisition groups;
and setting the gas data sending time interval of each data caching module according to the number of the gas acquisition groups, wherein the data caching modules send the gas data according to the corresponding gas data sending time interval.
Further, the gas collection time interval is obtained by the following formula:
Figure GDA0003754654240000021
wherein, T i The gas data sending time interval of the ith group of data cache modules is represented; i represents the serial number of each data cache module, and i is 1,2, … …, m; t is a unit of zmin Representing a minimum value of a data acquisition time interval of the gas acquisition modules in each gas acquisition group; t is zmax Representing a maximum value of a data acquisition time interval of the gas acquisition modules in each gas acquisition group; t is 0 Representing a preset gas data transmission basic time interval; t is min Representing the minimum value of the data acquisition time interval in the left and right gas acquisition modules.
Further, the data caching module sends the gas data according to the corresponding gas data sending time interval, and the data caching module includes:
selecting two data transmission channels with the minimum channel capacity from the data transmission channels as standby channels;
when the data caching module sends data, judging whether each data transmission channel has a data transmission channel which does not transmit the data;
when a data transmission channel which does not perform data transmission exists, selecting the data transmission channel which does not perform data transmission to perform data transmission;
when the data transmission channel which does not transmit data does not exist, the data caching module queues up for waiting, and when the waiting time exceeds a preset waiting time threshold, a standby channel is started to transmit data, wherein the waiting time threshold is obtained by the following formula:
Figure GDA0003754654240000022
wherein, T ci The time for finishing one-time data transmission of the ith data caching module is represented; t is cmin The shortest time for completing one-time data transmission of the data caching module is shown; t is cmax Indicating the longest time taken by the data buffer module to complete a data transfer.
Further, modeling is performed by using the illegal exhaust gas data, and a violation determination model for the illegal exhaust gas is obtained, wherein the violation determination model comprises the following steps:
forming a corresponding illegal gas emission table for each illegal gas emission data in the current gas data emitted by the enterprise according to the type of the gas to obtain n illegal gas emission tables, wherein n represents the type of the illegal gas to be emitted;
forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions;
combining n fitting equations into a violation gas emission fitting equation set containing n equations;
solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
A big-data based enterprise unorganized emission behavior detection and qualification system, the system comprising:
the system comprises an acquisition processing module, a data processing module and a data processing module, wherein the acquisition processing module is used for acquiring the current gas data emitted by an enterprise in real time and establishing an illegal determination model aiming at the illegal gas emission through the gas data;
and the detection and identification module is used for detecting the gas data emitted by the follow-up enterprises by using the violation determination model and identifying the condition that the gas emission condition of the identified enterprises does not accord with the national standard.
Further, the acquisition processing module comprises:
the data processing module is used for acquiring the current gas data discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data;
the comparison module is used for comparing the preprocessed data with corresponding gas emission indexes specified by national standards and acquiring illegal gas emission data of the corresponding gas emission indexes which do not meet the national standards;
and the modeling module is used for modeling by utilizing the illegal exhaust gas data and acquiring an illegal determination model aiming at the illegal exhaust gas.
Further, the data processing module comprises:
the grouping module is used for grouping the gas acquisition modules aiming at gas acquisition according to the types of the gas to be acquired by enterprises to obtain m gas acquisition groups;
the buffer data sending module is used for sending the gas data information collected in each group of gas collection groups to the data buffer module corresponding to each gas collection group, the data buffer module is arranged at the gas collection side, and the number of the data buffer modules is the same as that of the gas collection groups;
the setting and data module is used for setting the gas data sending time interval of each data caching module according to the number of the gas acquisition groups, and the data caching modules send the gas data according to the corresponding gas data sending time intervals;
wherein, the setting and data module comprises:
a spare channel setting module, configured to select two data transmission channels with the smallest channel capacity from the data transmission channels as spare channels;
the judging module is used for judging whether each data transmission channel has a data transmission channel which does not transmit data when the data caching module transmits data;
the channel selection module is used for selecting the data transmission channel which does not perform data transmission to transmit data when the data transmission channel which does not perform data transmission exists;
and the standby channel selection module is used for queuing for the data caching module when a data transmission channel which does not transmit data does not exist, and starting the standby channel to transmit data when the waiting time exceeds a preset waiting time threshold.
Further, the modeling module includes:
the table forming module is used for forming a corresponding illegal gas emission table aiming at each illegal gas emission data based on the type of the gas to obtain n illegal gas emission tables, wherein n represents the type of the illegal gas;
the fitting module is used for forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions;
the combination module is used for combining the n fitting equations into an illegal gas emission fitting equation set containing the n equations;
and the model acquisition module is used for solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
The invention has the beneficial effects that:
according to the method and the system for detecting and identifying the unorganized enterprise emission behavior based on the big data, the violation determination module for the violation emission gas is established by taking the gas data of the violation emission gas of the enterprise as a basic sample, the gas emission of the enterprise is detected by the violation determination module, a batch of gas data can be judged at the same time, the data processing amount of gas detection is effectively reduced, the collected gas data does not need to be respectively compared with the national standard in real time, and the data processing efficiency is further effectively improved. Meanwhile, the emission rule of each gas of an enterprise can be effectively obtained through the establishment of the illegal gas emission model, whether the gas emission meets the national standard or not is judged through the model, the accuracy rate of gas emission detection can be further improved, and errors are effectively reduced.
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FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a block diagram of the system architecture of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
The embodiment of the invention provides an enterprise unorganized emission behavior detection and identification method based on big data, and as shown in figure 1, the method comprises the following steps:
s1, collecting the current gas data emitted by the enterprise in real time, and establishing an illegal determination model for the illegal gas emission through the gas data;
and S2, detecting the gas data emitted by the follow-up enterprises by using the violation determination model, and identifying the condition that the gas emission condition of the identified enterprises does not meet the national standard.
The method comprises the following steps of collecting gas data currently emitted by an enterprise in real time, and establishing a violation determination model for violation gas emission through the gas data, wherein the violation determination model comprises the following steps:
s101, collecting gas data currently discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data;
s102, comparing the preprocessed data with corresponding gas emission indexes regulated by national standards, and acquiring illegal gas emission data of the corresponding gas emission indexes which do not accord with the national standards;
s103, modeling is carried out by utilizing the illegal exhaust gas data, and an illegal determination model aiming at the illegal exhaust gas is obtained.
Wherein modeling is performed by using the illegal exhaust gas data, and an illegal determination model for the illegal exhaust gas is obtained, and the method comprises the following steps:
s201, forming a corresponding illegal gas emission table for each illegal gas emission data in the current gas emission data of the enterprise, wherein the illegal gas emission data do not meet the corresponding gas emission indexes of national standards, and obtaining n illegal gas emission tables, wherein n represents the type of the illegal gas emission;
s202, forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions;
s203, combining the n fitting equations into an illegal gas emission fitting equation set containing the n equations;
s204, solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
The working principle of the technical scheme is as follows: firstly, acquiring gas data currently emitted by an enterprise in real time, and establishing an illegal determination model aiming at illegal emitted gas according to the gas data; and then, detecting the gas data emitted by the follow-up enterprises by using the violation determination model, and identifying the condition that the gas emission condition of the enterprises does not meet the national standard.
The specific process of collecting the gas data currently emitted by the enterprise in real time and establishing the violation determination model for the violation gas emission through the gas data comprises the following steps: firstly, acquiring current gas data discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data; then, comparing the preprocessed data with corresponding gas emission indexes regulated by national standards, and acquiring illegal gas emission data of the corresponding gas emission indexes which do not meet the national standards; and finally, modeling is carried out by utilizing the illegal exhaust gas data, and an illegal determination model for the illegal exhaust gas is obtained.
The method comprises the following steps of modeling by using the illegal exhaust gas data, and acquiring an illegal determination model aiming at the illegal exhaust gas, wherein the specific process comprises the following steps: firstly, forming a corresponding illegal gas emission table for each illegal gas emission data in the current gas data emitted by the enterprise according to the type of the gas to be emitted and the illegal gas emission data of the corresponding gas emission index which does not meet the national standard, and obtaining n illegal gas emission tables, wherein n represents the type of the illegal gas to be emitted; then, forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions; combining n fitting equations into an illegal gas emission fitting equation set containing n equations; and finally, solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
The working principle of the technical scheme is as follows: the violation determining module for the violation gas emission is established by taking the gas data of the violation gas emission of the enterprise as a basic sample, the gas emission of the enterprise is detected by the violation determining module, a batch of gas data can be judged at the same time, the data processing amount of gas detection is effectively reduced, the acquired gas data do not need to be implemented and compared with national standards in real time, and the data processing efficiency is effectively improved. Meanwhile, the emission rule of each gas of an enterprise can be effectively obtained through the establishment of the illegal gas emission model, whether the gas emission meets the national standard or not is judged through the model, the accuracy rate of gas emission detection can be further improved, and errors are effectively reduced.
According to one embodiment of the invention, the method for acquiring the current gas emission data of the enterprise in real time comprises the following steps:
step 1, grouping gas acquisition modules aiming at gas acquisition according to the types of gas to be acquired by enterprises to obtain m gas acquisition groups; wherein the number of gas collection groups is determined by the formula:
Figure GDA0003754654240000061
Figure GDA0003754654240000062
wherein, C m The number of the gas collection modules contained in each gas collection group is represented; w represents the total number of the gas acquisition modules, and H represents the total number of data transmission channels which can be used for data transmission of the acquired gas data; int () represents a rounding function;
step 2, transmitting the acquired gas data information in each group of gas acquisition groups to a data cache module corresponding to each gas acquisition group, wherein the data cache module is arranged at the gas acquisition side, and the number of the data cache modules is the same as that of the gas acquisition groups;
and 3, setting the gas data sending time interval of each data caching module according to the number of the gas acquisition groups, wherein the data caching modules send the gas data according to the corresponding gas data sending time intervals.
Wherein the gas collection time interval is obtained by the following formula:
Figure GDA0003754654240000071
wherein, T i The gas data transmission time interval of the ith group of data cache module is represented; i represents the serial number of each data cache module, and i is 1,2, … …, m; t is zmin Representing a minimum value of a data acquisition time interval of the gas acquisition modules in each gas acquisition group; t is zmax Representing a maximum value of a data acquisition time interval of the gas acquisition modules in each gas acquisition group; t is a unit of 0 Indication deviceSetting a gas data transmission basic time interval; t is min Representing the minimum value of the data acquisition time interval in the left and right gas acquisition modules.
The working principle of the technical scheme is as follows: firstly, according to the type of gas to be collected by an enterprise, grouping each gas collection module aiming at gas collection to obtain m gas collection groups; then, sending the acquired gas data information in each group of gas acquisition groups to a data cache module corresponding to each gas acquisition group, wherein the data cache module is arranged at the gas acquisition side, and the number of the data cache modules is the same as that of the gas acquisition groups; and finally, setting the gas data sending time interval of each data cache module according to the number of the gas acquisition groups, wherein the data cache modules send the gas data according to the corresponding gas data sending time intervals.
The effect of the above technical scheme is as follows: by means of the method, the gas acquisition data corresponding to each gas type can be sent in a time-staggered mode, data transmission efficiency can be effectively improved through time-staggered sending, channel saturation is reduced, the problems of reduction of data transmission efficiency and data transmission faults caused by channel saturation are prevented, and the detection efficiency of gas data is further improved. Meanwhile, the grouping is carried out through the formula, so that the matching degree and the matching degree of the gas type groups and the number of the channels can be effectively improved. And the gas acquisition group always has enough channels for data transmission in the subsequent data transmission process. On the other hand, the gas acquisition time intervals are set through the formula, so that the gas data transmission between each gas acquisition group can be completely staggered and complementarily overlapped, and meanwhile, all the gas acquisition groups can complete data transmission in one batch, and the situation that the data transmission of the gas acquisition group of the previous data transmission of the next batch is started and the current gas data transmission of the gas acquisition group of the last batch is not completed due to the fact that the acquisition time intervals are set to be too short can be avoided. The time interval setting and the data detection are highly matched, so that the problem of inaccurate gas data detection caused by time-staggered sending due to different data sending time intervals is avoided. Meanwhile, the data sending time interval is set, so that the sending time interval of a batch of data can be ensured not to be overlong while the sending time of the same batch of data can be completed, and the data detection efficiency is further improved.
In an embodiment of the present invention, the sending of the gas data by the data caching module according to the corresponding gas data sending time interval includes:
the first step, two data transmission channels with the minimum channel capacity are selected from the data transmission channels as standby channels;
secondly, when the data cache module sends data, judging whether each data transmission channel has a data transmission channel which does not transmit data;
thirdly, when a data transmission channel which does not perform data transmission exists, selecting the data transmission channel which does not perform data transmission to perform data transmission;
step four, when a data transmission channel which does not transmit data does not exist, the data caching module queues up for waiting, and when the waiting time exceeds a preset waiting time threshold, a standby channel is started for transmitting data, wherein the waiting time threshold is obtained by the following formula:
Figure GDA0003754654240000081
wherein, T ci The time for finishing one-time data transmission of the ith data caching module is represented; t is cmin The shortest time for completing one-time data transmission of the data caching module is shown; t is cmax Indicating the longest time taken by the data buffer module to complete a data transfer.
The working principle of the technical scheme is as follows: firstly, selecting two data transmission channels with the minimum channel capacity from the data transmission channels as standby channels; then, when the data cache module sends data, whether a data transmission channel which does not transmit data exists in each data transmission channel is judged; then, when a data transmission channel which does not perform data transmission exists, selecting the data transmission channel which does not perform data transmission to perform data transmission; and finally, when the data transmission channel which does not transmit the data does not exist, the data caching module queues up for waiting, and when the waiting time exceeds a preset waiting time threshold, the standby channel is started to transmit the data.
The effect of the above technical scheme is as follows: by means of the method for sending the data, the data transmission efficiency can be improved while the channel saturation rate is effectively reduced. Meanwhile, through the setting of the waiting time threshold, the data of each gas acquisition group can be reasonably and orderly transmitted in the data transmission process, the use of standby channels is reduced as much as possible, meanwhile, the progress and the efficiency of data transmission are not influenced, and the balance between data transmission waiting and starting of the standby channels is improved.
The embodiment of the invention provides an enterprise unorganized emission behavior detection and identification system based on big data, and as shown in fig. 2, the system comprises:
the system comprises an acquisition processing module, a data processing module and a data processing module, wherein the acquisition processing module is used for acquiring the current gas data emitted by an enterprise in real time and establishing an illegal determination model aiming at the illegal gas emission through the gas data;
and the detection and identification module is used for detecting the gas data emitted by the follow-up enterprises by using the violation determination model and identifying the condition that the gas emission condition of the identified enterprises does not accord with the national standard.
Wherein, the collection processing module includes:
the data processing module is used for acquiring the current gas data discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data;
the comparison module is used for comparing the preprocessed data with corresponding gas emission indexes specified by national standards and acquiring illegal gas emission data of the corresponding gas emission indexes which do not meet the national standards;
and the modeling module is used for modeling by utilizing the illegal exhaust gas data and acquiring an illegal determination model aiming at the illegal exhaust gas.
Wherein the data processing module comprises:
the grouping module is used for grouping the gas acquisition modules aiming at gas acquisition according to the types of the gas to be acquired by enterprises to obtain m gas acquisition groups;
the buffer data sending module is used for sending the gas data information collected in each group of gas collection groups to the data buffer module corresponding to each gas collection group, the data buffer module is arranged at the gas collection side, and the number of the data buffer modules is the same as that of the gas collection groups;
the setting and data module is used for setting the gas data sending time interval of each data caching module according to the number of the gas collection groups, and the data caching modules send the gas data according to the corresponding gas data sending time intervals;
wherein, the setting and data module comprises:
a spare channel setting module, configured to select two data transmission channels with the smallest channel capacity from the data transmission channels as spare channels;
the judging module is used for judging whether each data transmission channel has a data transmission channel which does not transmit data when the data caching module transmits data;
the channel selection module is used for selecting the data transmission channel which does not perform data transmission to transmit data when the data transmission channel which does not perform data transmission exists;
and the standby channel selection module is used for queuing for the data caching module when the data transmission channel which does not transmit data does not exist, and starting the standby channel to transmit data when the waiting time exceeds a preset waiting time threshold.
Meanwhile, the modeling module includes:
the table forming module is used for forming a corresponding illegal gas emission table aiming at each illegal gas emission data in the current gas data emitted by the enterprise and not meeting the national standard, and obtaining n illegal gas emission tables according to the type of the gas emitted, wherein n represents the type of the illegal gas;
the fitting module is used for forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions;
the combination module is used for combining the n fitting equations into an illegal gas emission fitting equation set containing the n equations;
and the model acquisition module is used for solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
The enterprise unorganized emission behavior detection and identification system based on the big data is used for operating the enterprise unorganized emission behavior detection and identification method based on the big data provided by the embodiment of the invention.
The violation determining module for the violation gas emission is established by taking the gas data of the violation gas emission of the enterprise as a basic sample, the gas emission of the enterprise is detected by the violation determining module, a batch of gas data can be judged at the same time, the data processing amount of gas detection is effectively reduced, the acquired gas data do not need to be implemented and compared with national standards in real time, and the data processing efficiency is effectively improved. Meanwhile, the emission rule of each gas of an enterprise can be effectively obtained through the establishment of the illegal gas emission model, whether the gas emission meets the national standard or not is judged through the model, the accuracy rate of gas emission detection can be further improved, and errors are effectively reduced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (1)

1. A big data-based enterprise unorganized emission behavior detection and identification method is characterized by comprising the following steps:
acquiring current gas data emitted by an enterprise in real time, and establishing a violation determination model for violation gas emission according to the gas data;
detecting gas data emitted by subsequent enterprises by using the violation determination model, and identifying the condition that the gas emission condition of the enterprises does not accord with the national standard;
the method for acquiring the current gas data emitted by the enterprise in real time and establishing the violation determination model aiming at the violation gas emission through the gas data comprises the following steps:
acquiring current gas data discharged by an enterprise in real time, and preprocessing the gas data to obtain preprocessed data;
comparing the preprocessed data with corresponding gas emission indexes regulated by national standards, and acquiring illegal gas emission data which do not accord with the corresponding gas emission indexes regulated by the national standards;
modeling by using the illegal exhaust gas data to obtain an illegal determination model aiming at the illegal exhaust gas;
the method for acquiring the current gas emission data of the enterprise in real time comprises the following steps:
according to the type of gas to be collected by an enterprise, grouping each gas collection module aiming at gas collection to obtain m gas collection groups; wherein the number of gas collection groups is determined by the formula:
Figure FDA0003769238900000011
Figure FDA0003769238900000012
wherein, C m The number of the gas collection modules contained in each group of gas collection groups is represented; w represents the total number of the gas acquisition modules, and H represents the total number of data transmission channels which can be utilized by the acquired gas data for data transmission; int () represents a rounding function;
sending the acquired gas data information in each group of gas acquisition groups to a data cache module corresponding to each gas acquisition group, wherein the data cache module is arranged on a gas acquisition side, and the number of the data cache modules is the same as the group number of the gas acquisition groups;
setting a gas data sending time interval of each data caching module according to the number of the gas acquisition groups, wherein the data caching modules send gas data according to the corresponding gas data sending time intervals;
the data caching module sends the gas data according to the corresponding gas data sending time interval, and the data caching module comprises:
selecting two data transmission channels with the minimum channel capacity from the data transmission channels as standby channels;
when the data caching module sends data, judging whether each data transmission channel has a data transmission channel which does not transmit the data;
when a data transmission channel which does not perform data transmission exists, selecting the data transmission channel which does not perform data transmission to perform data transmission;
when the data transmission channel which does not transmit data does not exist, the data caching module queues up for waiting, and when the waiting time exceeds a preset waiting time threshold, a standby channel is started to transmit data, wherein the waiting time threshold is obtained by the following formula:
Figure FDA0003769238900000021
wherein, T ci The time for finishing one-time data transmission of the ith data caching module is represented; t is cmin The shortest time for finishing one-time data transmission by the data cache moduleTime; t is cmax The maximum time for completing one-time data transmission of the data caching module is represented;
modeling by using the illegal exhaust gas data to obtain an illegal determination model aiming at the illegal exhaust gas, wherein the illegal determination model comprises the following steps:
forming a corresponding illegal gas emission table for each illegal gas emission data in the current gas data emitted by the enterprise according to the type of the gas to obtain n illegal gas emission tables, wherein n represents the type of the illegal gas to be emitted;
forming a fitting equation for the illegal gas emission table corresponding to each illegal gas emission in a data fitting mode to obtain n fitting equations corresponding to n illegal gas emissions;
combining n fitting equations into a violation gas emission fitting equation set containing n equations;
solving the illegal gas emission fitting equation set to obtain a characteristic solution of the illegal gas emission fitting equation set, and taking the characteristic solution of the illegal gas emission fitting equation set as an illegal determination model for the illegal gas emission.
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