CN114519926A - Intelligent control system of environment-friendly monitoring instrument based on Internet of things - Google Patents

Intelligent control system of environment-friendly monitoring instrument based on Internet of things Download PDF

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CN114519926A
CN114519926A CN202210168318.5A CN202210168318A CN114519926A CN 114519926 A CN114519926 A CN 114519926A CN 202210168318 A CN202210168318 A CN 202210168318A CN 114519926 A CN114519926 A CN 114519926A
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王家国
孔祥瑞
赵旭
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Abstract

The invention discloses an intelligent control system of an environment-friendly monitoring instrument based on the Internet of things, which relates to the technical field of intelligent instruments and comprises an instruction issuing module, monitoring nodes, a monitoring center and a pollution analysis module; the monitoring nodes are used for responding to the information acquisition instruction and monitoring the environmental protection data in each monitoring area; the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, and specifically comprises the following steps: determining an instruction frequency threshold Hi of a corresponding monitoring area according to the monitoring coefficient WJ so as to monitor the monitoring area with high pollution threat and high monitoring attraction; the monitoring center is used for preprocessing the received environment-friendly data, transmitting the preprocessed environment-friendly data to the pollution analysis module for pollution coefficient analysis, and generating an environment pollution signal if the pollution coefficient is greater than a pollution threshold value so as to remind a manager of the monitoring center to manage the monitoring area in time, thereby being beneficial to the expansion of environment management work.

Description

Intelligent control system of environment-friendly monitoring instrument based on Internet of things
Technical Field
The invention relates to the technical field of intelligent instruments, in particular to an intelligent control system of an environment-friendly monitoring instrument based on the Internet of things.
Background
The industrial pollution source monitoring is an important component of pollution source supervision and management, is a means for knowing and mastering regional pollution discharge conditions and pollution discharge trends, and the monitoring result and data are the basis for executing environmental regulations and standards and comprehensively developing environmental management work.
Currently, the industrial pollution source monitoring is to evaluate the air quality or the surface water quality by detecting smoke (SO2, NOx, COx and the like), sewage (COD, pH, TOC, heavy metals, total phosphorus, ammonia nitrogen and the like) and the like in an area through various environmental protection monitoring instruments; each professional detection data is independently stored, analyzed and supervised operation is executed, data sharing is lacked, linkage cannot be realized, and repeated investment is easily caused; meanwhile, the existing intelligent control system of the instrument for environment-friendly monitoring cannot intelligently identify key monitoring in an area with high pollution threat, so that the environment-friendly monitoring efficiency is improved; aiming at the problems, the invention provides an intelligent control system of an environment-friendly monitoring instrument based on the Internet of things.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an intelligent control system of an environment-friendly monitoring instrument based on the Internet of things.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent control system for an environmental monitoring instrument based on the internet of things, including an instruction issuing module, a monitoring node, a monitoring center, a pollution analysis module, and a threat assessment module;
The monitoring nodes are connected with the instruction issuing module and used for responding to the information acquisition instruction, monitoring the environmental protection data in each monitoring area and sending the monitored environmental protection data to the monitoring center; the environmental protection data specifically refers to numerical values of various environmental protection indexes;
the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, wherein the preset rule specifically comprises the following steps: determining a command frequency threshold value of a corresponding monitoring area according to the monitoring coefficient WJ;
the monitoring center is used for preprocessing the received environment-friendly data, transmitting the preprocessed environment-friendly data to the pollution analysis module for pollution coefficient analysis, and generating an environment pollution signal if the pollution coefficient is greater than a pollution threshold value; wherein the preprocessing appears to cull out significantly erroneous or useless data;
the pollution analysis module is used for uploading the environmental pollution signal and the positioning data corresponding to the monitoring area to the monitoring center, and the monitoring center controls the alarm module to give an alarm after receiving the environmental pollution signal so as to remind a manager of the monitoring center to administer the monitoring area in time.
Further, the specific working steps of the instruction issuing module are as follows:
Acquiring a plurality of monitoring areas, and automatically acquiring a pollution threat value WX and a monitoring attraction value XY of the monitoring areas from a storage module according to the monitoring areas; using a formula
Figure BDA0003517510290000021
Calculating to obtain a monitoring coefficient WJ, wherein b1, b2 and b3 are all proportional coefficients, and beta is a balance factor;
setting a plurality of instruction frequency thresholds and marking the instruction frequency thresholds as Hm, wherein each instruction frequency threshold Hm corresponds to a preset monitoring coefficient range; matching the monitoring coefficient WJ with all preset monitoring coefficient ranges to obtain a corresponding instruction frequency threshold value Hi; and the instruction issuing module is used for issuing an information acquisition instruction to the monitoring nodes in the corresponding monitoring area according to the instruction frequency threshold Hi.
Furthermore, the monitoring nodes are ZigBee wireless sensing network nodes with environment-friendly monitoring instruments and are distributed in an array in each monitoring area; the monitoring nodes are connected with the monitoring center in a distributed manner through the nodes of the Internet of things; the environment-friendly monitoring instrument is used for monitoring numerical values of various environment-friendly indexes, wherein the environment-friendly indexes comprise SO2, NOx and COx concentrations in air and contents of COD, pH, TOC, heavy metals, total phosphorus and ammonia nitrogen in sewage.
Further, the specific analysis steps of the pollution analysis module are as follows:
The method comprises the steps of obtaining environmental protection data in a corresponding monitoring area, and comparing the numerical values of various environmental protection indexes with safety data of the corresponding environmental protection indexes stored in a database to obtain data difference values of the corresponding environmental protection indexes;
and acquiring a data difference value of each environmental protection index larger than zero, and calculating the pollution coefficient of the corresponding monitoring area by combining the influence factors of each environmental protection index stored in the database on the environment.
Furthermore, after the treatment is finished, the treatment personnel records treatment information and transmits the treatment information to the database for storage after stamping; wherein the treatment information comprises treatment time, treatment grade and corresponding treatment area; the treatment level is evaluated by the treatment personnel according to the manpower and material resources input in the treatment process.
Further, the threat assessment module is used for analyzing the pollution threat value of the governance information with the timestamp stored in the database, and the specific analysis method is as follows:
collecting treatment information of the same monitoring area within a preset time; counting the treatment times of the corresponding monitoring area as G1, and summing the treatment grades of each treatment to obtain a total treatment grade DT;
calculating the time difference of the adjacent treatment time to obtain a treatment interval GTi; counting the number of times that GTi is smaller than the interval threshold value as P1; when the GTi is smaller than the interval threshold, obtaining a difference value between the GTi and the interval threshold, and summing to obtain a total difference value CZ; calculating a difference coefficient CJ by using a formula CJ, namely P1 × a3+ CZ × a4, wherein a3 and a4 are both scale factors;
Calculating a pollution threat value WX of the corresponding monitored area by using a formula WX which is G1 × d3+ DT × d4+ CJ × d5, wherein d3, d4 and d5 are coefficient factors; and the threat assessment module is used for transmitting the pollution threat value WX to the storage module for storage through the monitoring center.
Furthermore, the system also comprises an instruction input module and an instruction analysis module; a user sends an information acquisition/update instruction to a monitoring node through an instruction input module to acquire the latest environmental protection data for research and analysis; and the instruction analysis module is used for analyzing the instruction sending record of the user to obtain a monitoring attraction value XY of the corresponding monitoring area.
Further, the specific analysis process of the instruction analysis module is as follows:
collecting instruction sending records aiming at the same monitoring area within a preset time; counting the instruction sending times of the corresponding monitoring area as C1; calculating the time difference of adjacent instruction sending moments to obtain an instruction interval ZTi, and forming an interval information group;
calculating a standard deviation f of the interval information group according to a standard deviation formula; sorting ZTi in the interval information group in a descending order, taking the value and marking as Z1, and calculating by using a formula CK which is Z1 × a1+ f × a2 to obtain a reference interval CK, wherein a1 and a2 are scale factors;
Calculating the time difference between the latest instruction sending time and the current time of the system to obtain a buffering duration HT; calculating a monitoring attraction value XY of the corresponding monitoring area by using a formula XY (C1 × d1)/(CK × d2+ HT), wherein d1 and d2 are coefficient factors; and the instruction analysis module is used for transmitting the monitoring attraction value XY to the storage module for storage through the monitoring center.
Compared with the prior art, the invention has the beneficial effects that:
1. the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, firstly, automatically acquiring a pollution threat value WX and a monitoring attraction value XY of the monitoring area from a storage module according to the monitoring area, and calculating to obtain a monitoring coefficient WJ; determining the instruction frequency threshold Hi of the corresponding monitoring area according to the monitoring coefficient WJ so as to monitor the monitoring area with high pollution threat and high monitoring attraction, early warning and treating in time, reasonably distributing monitoring resources, saving operation cost and facilitating the expansion of environment management work;
2. the monitoring center is used for preprocessing the received environmental protection data, transmitting the preprocessed environmental protection data to the pollution analysis module for pollution coefficient analysis, and determining the environmental protection condition of each monitoring area; if the pollution coefficient is greater than the pollution threshold value, generating an environmental pollution signal to remind a manager of the monitoring center to manage the monitored area in time;
3. The threat assessment module is used for analyzing the pollution threat value of the treatment information with the timestamp stored in the database; meanwhile, a user can send an information acquisition/update instruction to the monitoring node through the instruction input module to acquire the latest environmental protection data for research and analysis; the instruction analysis module is used for analyzing the instruction sending records of the user to obtain a monitoring attraction value XY corresponding to the monitoring area so as to provide data support for subsequent environmental monitoring.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1, the intelligent control system of the environmental monitoring instrument based on the internet of things comprises an instruction issuing module, a monitoring node, a monitoring center, a pollution analysis module, a database, an alarm module, a threat assessment module and a storage module;
the monitoring nodes are ZigBee wireless sensing network nodes with environment-friendly monitoring instruments and are distributed in each monitoring area in an array manner; the monitoring nodes are connected with the monitoring center in a distributed manner through nodes of the Internet of things; in this embodiment, the environmental protection monitoring instrument is used for monitoring the values of various environmental protection indexes, including concentrations of SO2, NOx, COx, and the like in the air; COD, pH, TOC, heavy metals, total phosphorus, ammonia nitrogen and other contents in the sewage;
the monitoring node is connected with the instruction issuing module and used for responding to the information acquisition instruction, monitoring the environmental protection data in each monitoring area and sending the monitored environmental protection data to the monitoring center; the environmental protection data specifically refers to numerical values of various environmental protection indexes;
the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, and the preset rule specifically comprises the following steps:
acquiring a plurality of monitoring areas, and automatically acquiring a pollution threat value WX and a monitoring attraction value XY of the monitoring areas from a storage module according to the monitoring areas;
Using a formula
Figure BDA0003517510290000061
Calculating to obtain a monitoring coefficient WJ, wherein b1, b2 and b3 are all preset proportional coefficients, b1+ b2+ b3 is 1, beta is an equilibrium factor, and the value is 0.0023569;
determining a command frequency threshold corresponding to the monitoring area according to the monitoring coefficient WJ, which specifically comprises the following steps:
setting a plurality of command frequency thresholds and marking the thresholds as Hm, wherein m is 1, 2, … and 15; and H1 > H2 > … > H15; setting each command frequency threshold Hm to correspond to a preset monitoring coefficient range, which is specifically represented as follows: the preset monitoring coefficient range corresponding to H1 is (H0, H1, …), the preset monitoring coefficient range corresponding to H15 is (H14, H15; wherein H1 < H2 < … < H15, and H0 is 0;
when the WJ belongs to (Hi-1, Hi), the instruction frequency threshold corresponding to the monitoring coefficient range is preset to be Hi;
the monitoring center is used for preprocessing the received environment-friendly data, transmitting the preprocessed environment-friendly data to the pollution analysis module for pollution coefficient analysis, and determining the environment-friendly condition of each monitoring area; where preprocessing appears to cull out data that is significantly erroneous or useless;
the specific analysis steps of the pollution analysis module are as follows:
The method comprises the steps of obtaining environmental protection data in a corresponding monitoring area, and comparing the numerical values of various environmental protection indexes with safety data of the corresponding environmental protection indexes stored in a database to obtain data difference values of the corresponding environmental protection indexes; if the data difference value corresponding to the environmental protection index is less than or equal to zero, the corresponding environmental protection index does not cause environmental pollution;
acquiring a data difference value of each environmental protection index larger than zero, and calculating a pollution coefficient of a corresponding monitoring area by combining influence factors of each environmental protection index stored in a database on the environment; if the pollution coefficient is larger than the pollution threshold value, generating an environmental pollution signal;
the pollution analysis module is used for uploading the environmental pollution signal and the positioning data of the corresponding monitoring area to the monitoring center, and the monitoring center controls the alarm module to send an alarm after receiving the environmental pollution signal so as to remind a manager of the monitoring center to manage the monitoring area in time;
after the treatment is finished, the treatment personnel records treatment information and transmits the treatment information to the database for storage by stamping; wherein the treatment information comprises treatment time, treatment grade and corresponding treatment area; the treatment level is evaluated by a treating person according to the manpower and material resources input in the treatment process; the more manpower and material resources are input, the higher the treatment level is, and the more serious the environmental pollution is;
According to the invention, the collected environmental protection data is subjected to progressive analysis, the corresponding instruction frequency threshold is determined according to the monitoring coefficient WJ of the monitoring area, and the collection frequency is adjusted, so that the monitoring area with high pollution threat and high monitoring attraction is mainly monitored, early warning and treatment are carried out in time, monitoring resources are reasonably distributed, the operation cost is saved, and the development of environment management work is facilitated;
the threat assessment module is used for analyzing pollution threat values of treatment information with time stamps stored in the database, and the specific analysis method comprises the following steps:
collecting treatment information of the same monitoring area within a preset time; counting the treatment times of the corresponding monitoring area as G1, and summing the treatment grades of each treatment to obtain a total treatment grade DT;
calculating the time difference of the adjacent treatment time to obtain a treatment interval GTi; comparing the remediation interval GTi to an interval threshold; counting the number of times that GTi is smaller than the interval threshold value as P1;
when the GTi is smaller than the interval threshold, obtaining a difference value between the GTi and the interval threshold, and summing to obtain a total difference value CZ; calculating a difference coefficient CJ by using a formula CJ, namely P1 × a3+ CZ × a4, wherein a3 and a4 are both scale factors;
normalizing the treatment times, the total treatment grade and the difference coefficient, taking the numerical values, and calculating by using a formula WX G1 × d3+ DT × d4+ CJ × d5 to obtain a pollution threat value WX corresponding to the monitored area, wherein d3, d4 and d5 are coefficient factors; the threat assessment module is used for transmitting the pollution threat value WX to the storage module for storage through the monitoring center;
The system also comprises an instruction input module and an instruction analysis module; a user can send an information acquisition/update instruction to the monitoring node through the instruction input module to acquire the latest environmental protection data for research and analysis and improve the monitoring precision; the instruction analysis module is connected with the instruction input module and used for analyzing the instruction sending record of the user to obtain a monitoring attraction value XY of the corresponding monitoring area, and the specific analysis steps are as follows:
collecting instruction sending records aiming at the same monitoring area within preset time; counting the instruction sending times of the corresponding monitoring area as C1;
calculating the time difference of adjacent instruction sending moments to obtain an instruction interval ZTi, and forming an interval information group; calculating a standard deviation f of the interval information group according to a standard deviation formula;
sorting ZTi in the interval information group in a descending order, taking the value and marking as Z1, and calculating by using a formula CK which is Z1 × a1+ f × a2 to obtain a reference interval CK, wherein a1 and a2 are scale factors;
calculating the time difference between the latest instruction sending time and the current time of the system to obtain a buffer duration HT; normalizing the instruction sending times, the reference interval and the buffering time length, taking the values of the instruction sending times, the reference interval and the buffering time length, and calculating a monitoring attraction value XY of the corresponding monitoring area by using a formula XY (C1 × d1)/(CK × d2+ HT), wherein d1 and d2 are coefficient factors; and the instruction analysis module is used for transmitting the monitoring attraction value XY to the storage module for storage through the monitoring center.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
when the intelligent control system of the environment-friendly monitoring instrument based on the Internet of things works, the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, firstly, a pollution threat value WX and a monitoring attraction value XY of the monitoring area are automatically acquired from the storage module according to the monitoring area, and a monitoring coefficient WJ is obtained through calculation; determining an instruction frequency threshold Hi of a corresponding monitoring area according to the monitoring coefficient WJ, wherein the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in the corresponding monitoring area according to the instruction frequency threshold Hm; the monitoring system has the advantages that important monitoring is conducted on monitoring areas with high pollution threat and high monitoring attraction, early warning and treatment are conducted in time, monitoring resources are reasonably distributed, the operation cost is saved, and the development of environment management work is facilitated;
the monitoring nodes are used for responding to the information acquisition instruction and monitoring the environmental protection data in each monitoring area; the monitoring center is used for preprocessing the received environment-friendly data, transmitting the preprocessed environment-friendly data to the pollution analysis module for pollution coefficient analysis, and determining the environment-friendly condition of each monitoring area; if the pollution coefficient is larger than the pollution threshold value, generating an environmental pollution signal; after receiving the environmental pollution signal, the monitoring center controls the alarm module to give an alarm to remind a manager of the monitoring center to manage the monitored area in time; after the treatment is finished, the treatment personnel records treatment information and transmits the treatment information to the database for storage by stamping;
The threat assessment module is used for analyzing the pollution threat value of the treatment information with the timestamp stored in the database; meanwhile, a user can send an information acquisition/update instruction to the monitoring node through the instruction input module to acquire the latest environmental protection data for research and analysis; the instruction analysis module is used for analyzing the instruction sending records of the user to obtain a monitoring attraction value XY corresponding to the monitoring area so as to provide data support for subsequent environmental monitoring.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
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 (8)

1. The intelligent control system of the environment-friendly monitoring instrument based on the Internet of things is characterized by comprising an instruction issuing module, a monitoring node, a monitoring center, a pollution analysis module and a threat assessment module;
the monitoring nodes are connected with the instruction issuing module and used for responding to the information acquisition instruction, monitoring the environmental protection data in each monitoring area and sending the monitored environmental protection data to the monitoring center; the environmental protection data specifically refers to numerical values of various environmental protection indexes;
the instruction issuing module is used for issuing an information acquisition instruction to a monitoring node in a corresponding monitoring area according to a preset rule, and the preset rule specifically comprises the following steps: determining an instruction frequency threshold value of a corresponding monitoring area according to the monitoring coefficient WJ;
the monitoring center is used for preprocessing the received environment-friendly data, transmitting the preprocessed environment-friendly data to the pollution analysis module for pollution coefficient analysis, and generating an environment pollution signal if the pollution coefficient is greater than a pollution threshold value; where preprocessing appears to cull out data that is significantly erroneous or useless;
the pollution analysis module is used for uploading the environmental pollution signal and the positioning data corresponding to the monitoring area to the monitoring center, and the monitoring center controls the alarm module to give an alarm after receiving the environmental pollution signal so as to remind a manager of the monitoring center to administer the monitoring area in time.
2. The intelligent control system for the environment-friendly monitoring instrument based on the Internet of things as claimed in claim 1, wherein the specific working steps of the instruction issuing module are as follows:
acquiring a plurality of monitoring areas, and automatically acquiring a pollution threat value WX and a monitoring attraction value XY of the monitoring areas from a storage module according to the monitoring areas; using a formula
Figure FDA0003517510280000011
Calculating to obtain a monitoring coefficient WJ, wherein b1, b2 and b3 are all proportional coefficients, and beta is an equilibrium factor;
setting a plurality of instruction frequency thresholds and marking the instruction frequency thresholds as Hm, wherein each instruction frequency threshold Hm corresponds to a preset monitoring coefficient range; matching the monitoring coefficient WJ with all preset monitoring coefficient ranges to obtain a corresponding instruction frequency threshold value Hi; and the instruction issuing module is used for issuing an information acquisition instruction to the monitoring nodes in the corresponding monitoring area according to the instruction frequency threshold Hi.
3. The intelligent control system for the environmental protection monitoring instrument based on the Internet of things of claim 1, wherein the monitoring nodes are ZigBee wireless sensing network nodes with the environmental protection monitoring instrument and are distributed in an array in each monitoring area; the environment-friendly monitoring instrument is used for monitoring numerical values of various environment-friendly indexes, wherein the environment-friendly indexes comprise SO2, NOx and COx concentrations in air and COD, pH, TOC, heavy metals, total phosphorus and ammonia nitrogen contents in sewage.
4. The intelligent control system for the environmental protection monitoring instrument based on the Internet of things of claim 3, wherein the pollution analysis module comprises the following specific analysis steps:
acquiring environmental protection data in a corresponding monitoring area, and comparing the numerical values of various environmental protection indexes with safety data of the corresponding environmental protection indexes stored in a database to obtain data difference values of the corresponding environmental protection indexes;
and acquiring a data difference value of each environmental protection index larger than zero, and calculating the pollution coefficient of the corresponding monitoring area by combining the influence factors of each environmental protection index stored in the database on the environment.
5. The intelligent control system for the environmental monitoring instrument based on the internet of things as claimed in claim 2, wherein after the treatment is completed, the treatment personnel records the treatment information and transmits the treatment information to the database for storage by stamping; wherein the treatment information comprises treatment time, treatment grade and corresponding treatment area; the treatment level is evaluated by treatment personnel according to the manpower and material resources input in the treatment process.
6. The intelligent control system for the environmental monitoring instrument based on the internet of things of claim 5, wherein the threat assessment module is used for analyzing the pollution threat value of the governance information with the timestamp stored in the database, and the specific analysis method comprises the following steps:
Collecting treatment information of the same monitoring area within a preset time; counting the treatment times of the corresponding monitoring area as G1, and summing the treatment grades of each treatment to obtain a total treatment grade DT;
calculating the time difference of the adjacent treatment time to obtain a treatment interval GTi; counting the number of times that GTi is smaller than the interval threshold value as P1; when the GTi is smaller than the interval threshold, obtaining the difference between the GTi and the interval threshold and summing to obtain a total difference value CZ; calculating a difference coefficient CJ by using a formula CJ-P1 × a3+ CZ × a4, wherein a3 and a4 are both scale factors;
calculating a pollution threat value WX of the corresponding monitored area by using a formula WX which is G1 × d3+ DT × d4+ CJ × d5, wherein d3, d4 and d5 are coefficient factors; and the threat assessment module is used for transmitting the pollution threat value WX to the storage module for storage through the monitoring center.
7. The intelligent control system for the environmental protection monitoring instrument based on the Internet of things is characterized by further comprising a command input module and a command analysis module; a user sends an information acquisition/update instruction to a monitoring node through an instruction input module to acquire latest environmental protection data for research and analysis; and the instruction analysis module is used for analyzing the instruction sending record of the user to obtain a monitoring attraction value XY corresponding to the monitoring area.
8. The intelligent control system for the environment-friendly monitoring instrument based on the Internet of things as claimed in claim 7, wherein the specific analysis process of the instruction analysis module is as follows:
collecting instruction sending records aiming at the same monitoring area within preset time; counting the instruction sending times of the corresponding monitoring area as C1; calculating the time difference of adjacent instruction sending moments to obtain an instruction interval ZTi and form an interval information group;
calculating to obtain a standard deviation f of the interval information group according to a standard deviation formula; sorting ZTi in the interval information group in a descending order, taking the value and marking as Z1, and calculating by using a formula CK which is Z1 × a1+ f × a2 to obtain a reference interval CK, wherein a1 and a2 are scale factors;
calculating the time difference between the latest instruction sending time and the current time of the system to obtain a buffering duration HT; calculating a monitoring attraction value XY of the corresponding monitoring area by using a formula XY (C1 × d1)/(CK × d2+ HT), wherein d1 and d2 are coefficient factors; and the instruction analysis module is used for transmitting the monitoring attraction value XY to the storage module for storage through the monitoring center.
CN202210168318.5A 2022-02-23 2022-02-23 Intelligent control system of environment-friendly monitoring instrument based on Internet of things Withdrawn CN114519926A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115987695A (en) * 2023-03-21 2023-04-18 融科联创(天津)信息技术有限公司 Network security monitoring system based on big data analysis
CN116371164A (en) * 2023-05-12 2023-07-04 安徽臻环生态科技有限公司 Low-temperature plasma waste gas treatment system and method
CN116977146A (en) * 2023-08-25 2023-10-31 山东省环科院环境工程有限公司 Instrument data management and control system for environmental protection monitoring based on Internet of things

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115987695A (en) * 2023-03-21 2023-04-18 融科联创(天津)信息技术有限公司 Network security monitoring system based on big data analysis
CN116371164A (en) * 2023-05-12 2023-07-04 安徽臻环生态科技有限公司 Low-temperature plasma waste gas treatment system and method
CN116977146A (en) * 2023-08-25 2023-10-31 山东省环科院环境工程有限公司 Instrument data management and control system for environmental protection monitoring based on Internet of things
CN116977146B (en) * 2023-08-25 2024-02-09 山东省环科院环境工程有限公司 Instrument data management and control system for environmental protection monitoring based on Internet of things

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