阅读说明：本技术 超标违排报警的实时推送提醒系统及其推送方法 (Real-time pushing reminding system and pushing method for exceeding-standard illegal-discharge alarm ) 是由 尹雪亮 于 2021-08-25 设计创作，主要内容包括：本发明公开了超标违排报警的实时推送提醒系统及其推送方法,涉及环保预警技术领域,解决了现有方案数据采集手段单一,数据处理效率低,导致的数据监测不准确和预警效率低下的技术问题；包括处理器、边缘处理模块、预警调度模块和监管预警模块；本发明设置了边缘处理模块和预警调度模块,边缘处理模块能够及时处理通过采集传感器获取的排放数据,并生成排放标签；该方案能够及时处理排放数据,并生成预警序列,提高了超标违排的预警效率；本发明中处理器通过获取区域图像,并对区域图像进行分析定位目标企业；该方案能够保证数据获取的全面性和容错性,避免因为采集传感器的故障导致获取不到相关数据,同时为监管人员提供了数据基础。(The invention discloses a real-time pushing reminding system and a pushing method for exceeding-standard illegal-discharge alarming, relates to the technical field of environmental protection early warning, and solves the technical problems of inaccurate data monitoring and low early warning efficiency caused by single data acquisition means and low data processing efficiency in the prior art; the system comprises a processor, an edge processing module, an early warning scheduling module and a supervision early warning module; the invention is provided with an edge processing module and an early warning scheduling module, wherein the edge processing module can process the emission data acquired by the acquisition sensor in time and generate an emission label; the scheme can process the emission data in time and generate the early warning sequence, so that the early warning efficiency of exceeding the standard and avoiding the emission is improved; in the invention, a processor positions a target enterprise by acquiring a regional image and analyzing the regional image; the scheme can ensure the comprehensiveness and fault tolerance of data acquisition, avoid that related data cannot be acquired due to the fault of the acquisition sensor, and provide a data base for supervision personnel.)

1. The real-time pushing reminding system for exceeding-standard and illegal-discharge alarming comprises a processor and a data storage module, and is characterized in that the processor is respectively in communication and/or electrical connection with a plurality of edge processing modules, an early-warning scheduling module and a supervision and early-warning module; the edge processing modules are in communication and/or electrical connection with the acquisition sensor;

the edge processing modules acquire emission data through acquisition sensors and analyze the emission data to acquire emission labels;

the processor acquires a regional image, and positions a target enterprise after analyzing the regional image; the processor generates a regulatory dynamic map from the emissions label and/or the target enterprise;

the early warning scheduling module generates an early warning sequence according to the emission label and/or the target enterprise and sends the early warning sequence to target personnel through an intelligent terminal; the early warning sequence comprises a target position and a target person;

the supervision early warning module is in communication connection with an intelligent terminal of a supervisor, and the supervisor supervises a target enterprise in real time according to a supervision dynamic graph.

2. The system for real-time push reminding of out-of-compliance alarm violation according to claim 1, wherein said collection sensor comprises a gas detector and a water quality detector; the acquisition sensor is arranged inside the target enterprise; the target enterprise refers to an enterprise that may cause pollution to the environment.

3. The real-time push reminding system of excessive violation alarm as claimed in claim 2, wherein the emission label has a value of 0 or 1; and when the emission label is 1, indicating that the corresponding enterprise has the overproof and illegal emission phenomenon, and when the emission label is 0, indicating that the corresponding enterprise does not have the overproof and illegal emission phenomenon.

4. The real-time push reminding system of excessive violation alarm according to claim 1, wherein said locating a target business according to said area image comprises:

acquiring a regional image of a supervision region according to a set period; the set period comprises one hour, one day and one week, and the regional image is acquired by a remote sensing satellite and/or an unmanned aerial vehicle;

carrying out image preprocessing on the area image to obtain a target image; the image preprocessing comprises image segmentation, image denoising and gray level transformation;

and inverting the water quality and the atmospheric composition according to the target image, and positioning the target enterprise according to the inversion result.

5. The real-time push reminding system of excessive violation alarm according to claim 3 or 4, wherein the supervision dynamic map is a dynamic map updated in real time, all enterprises in the supervision area are included in the supervision dynamic map, and each enterprise is provided with a dynamic tag; the dynamic tags include regulatory tags, geographic location, and business type.

6. The system for real-time push reminding of out-of-compliance violation alarms according to claim 5, wherein the value of the supervision tag is 0 or 1, and the supervision tag is updated in real time; when the regulatory label is 0, it indicates that the emission label of the corresponding business is 0, and the corresponding business is not the target business.

7. The system for real-time push alert of excessive violation alarm as recited in claim 1, wherein the generation of the pre-warning sequence comprises:

when the emission label is 1 and the corresponding enterprise is a target enterprise, generating an early warning sequence; or

When the emission label is 1, generating an early warning sequence; or

And when the corresponding enterprise is the target enterprise, generating an early warning sequence.

8. The system for pushing and reminding the overproof illegal alarm according to claim 1, wherein the early warning scheduling module is in communication connection with an intelligent terminal of the target person, and the target person can timely arrive at a target position for checking after receiving an early warning sequence and feeds back a checking result to the processor; the target personnel comprise environment-friendly working personnel and environment-friendly volunteers.

9. The pushing method applied to the real-time pushing reminding system for excessive violation alarm in claim 1 is characterized by comprising the following steps:

acquiring emission data through an acquisition sensor, and analyzing the emission data through an edge processing module to obtain an emission label; the acquisition sensor comprises a gas detector and a water quality detector;

acquiring regional images of a supervision region according to a set period, analyzing the regional images and then positioning the regional images to a target enterprise; the set period comprises one hour, one day and one week, and the regional image is acquired by a remote sensing satellite and/or an unmanned aerial vehicle;

generating an early warning sequence and a supervision dynamic graph according to the emission label and/or the target enterprise; target personnel check on site according to the early warning sequence and feed back a check result; the supervision personnel supervise the target enterprise according to the supervision dynamic graph; the target personnel comprise environment-friendly working personnel and environment-friendly volunteers.

Technical Field

The invention belongs to the technical field of environmental protection early warning, and particularly relates to a real-time pushing reminding system and a pushing method for exceeding-standard and illegal-discharge alarming.

Background

In the production and manufacturing process of enterprises, the conditions of standard exceeding of pollutant emission and inadequate supervision exist, the working intensity of environment-friendly workers is increased, and the local ecological environment is greatly damaged. How to realize real-time monitoring and real-time early warning of the emission data of enterprises is a problem to be solved urgently.

The existing scheme acquires the emission data of enterprises through monitoring instruments distributed in the enterprises, then sends the emission data to a processor, and the processor performs early warning and supervision according to analysis results after analyzing. The scheme has limitations in acquisition, processing and early warning of emission data.

The current scheme is single for the means of gathering emission data, in case the instrument trouble will cause emission data monitoring inaccurate, even leak the inspection, need concentrate after gathering emission data and carry out data processing through the treater and just can the early warning moreover, and when data bulk is big, can cause data processing slower, can not be timely early warning and supervision. Therefore, a real-time pushing and reminding system capable of ensuring accurate emission data monitoring and high early warning efficiency is needed.

Disclosure of Invention

The invention provides a real-time pushing reminding system and a pushing method for exceeding-standard illegal cooking alarm, which are used for solving the technical problems of inaccurate data monitoring and low early warning efficiency caused by single data acquisition means and low data processing efficiency of the existing scheme.

The purpose of the invention can be realized by the following technical scheme: the real-time pushing reminding system for the exceeding-standard violation alarm comprises a processor and a data storage module;

the processor is respectively in communication and/or electrical connection with the edge processing modules, the early warning scheduling module and the supervision early warning module; the edge processing modules are in communication and/or electrical connection with the acquisition sensor;

the edge processing modules acquire emission data through acquisition sensors and analyze the emission data to acquire emission labels;

the processor acquires a regional image, and positions a target enterprise after analyzing the regional image; the processor generates a regulatory dynamic map from the emissions label and/or the target enterprise;

the early warning scheduling module generates an early warning sequence according to the emission label and/or the target enterprise and sends the early warning sequence to target personnel through an intelligent terminal; the early warning sequence comprises a target position and a target person; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;

the supervision early warning module is in communication connection with an intelligent terminal of a supervisor, and the supervisor supervises a target enterprise in real time according to a supervision dynamic graph.

Preferably, the acquisition sensor comprises a gas detector and a water quality detector; the acquisition sensor is arranged inside the target enterprise; the target enterprise refers to an enterprise that may cause pollution to the environment.

Preferably, the value of the emission label is 0 or 1; and when the emission label is 1, indicating that the corresponding enterprise has the overproof and illegal emission phenomenon, and when the emission label is 0, indicating that the corresponding enterprise does not have the overproof and illegal emission phenomenon.

Preferably, the positioning the target enterprise according to the area image includes:

acquiring a regional image of a supervision region according to a set period; the set period comprises one hour, one day and one week, and the regional image is acquired by a remote sensing satellite and/or an unmanned aerial vehicle;

carrying out image preprocessing on the area image to obtain a target image; the image preprocessing comprises image segmentation, image denoising and gray level transformation;

and inverting the water quality and the atmospheric composition according to the target image, and positioning the target enterprise according to the inversion result.

Preferably, the supervision dynamic map is a dynamic map updated in real time, the supervision dynamic map includes all enterprises in a supervision area, and each enterprise is provided with a dynamic tag; the dynamic tags include regulatory tags, audit results, geographic location, and business type.

Preferably, the value of the supervision tag is 0 or 1, and the supervision tag is updated in real time; when the regulatory label is 0, it indicates that the emission label of the corresponding business is 0, and the corresponding business is not the target business.

Preferably, the generation of the early warning sequence includes:

when the emission label is 1 and the corresponding enterprise is a target enterprise, generating an early warning sequence; or

When the emission label is 1, generating an early warning sequence; or

And when the corresponding enterprise is the target enterprise, generating an early warning sequence.

Preferably, the early warning scheduling module is in communication connection with an intelligent terminal of the target person, and the target person receives the early warning sequence and then timely arrives at a target position for checking, and feeds back a checking result to the processor; the target personnel comprise environment-friendly working personnel and environment-friendly volunteers.

The pushing method of the real-time pushing reminding system for exceeding-standard illegal alarm comprises the following steps:

acquiring emission data through an acquisition sensor, and analyzing the emission data through an edge processing module to obtain an emission label; the acquisition sensor comprises a gas detector and a water quality detector;

acquiring regional images of a supervision region according to a set period, analyzing the regional images and then positioning the regional images to a target enterprise; the set period comprises one hour, one day and one week, and the regional image is acquired by a remote sensing satellite and/or an unmanned aerial vehicle;

generating an early warning sequence and a supervision dynamic graph according to the emission label and/or the target enterprise; target personnel check on site according to the early warning sequence and feed back a check result; the supervision personnel supervise the target enterprise according to the supervision dynamic graph; the target personnel comprise environment-friendly working personnel and environment-friendly volunteers.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention is provided with an edge processing module and an early warning scheduling module, wherein the edge processing module can process the emission data acquired by the acquisition sensor in time and generate an emission label; the early warning scheduling module generates an early warning sequence according to the emission label and/or the target enterprise, the early warning sequence is sent to target personnel through the intelligent terminal, and the target personnel perform on-site checking according to the early warning sequence and feed back a checking result; the scheme can process the emission data in time and generate the early warning sequence, and the early warning efficiency of exceeding the standard and avoiding the emission is improved.

2. According to the method, a processor acquires a region image, analyzes the region image to locate a target enterprise, and then generates an early warning sequence according to an emission label and/or the target enterprise; the scheme can ensure the comprehensiveness and fault tolerance of data acquisition, avoid that related data cannot be acquired due to the fault of the acquisition sensor, and provide a data base for supervision personnel.

Drawings

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 description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of the principle of 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.

The terminology used herein is for the purpose of describing embodiments and is not intended to be limiting and/or limiting of the present disclosure; it should be noted that the singular forms "a," "an," and "the" include the plural forms as well, unless the context clearly indicates otherwise; also, although the terms first, second, etc. may be used herein to describe various elements, the elements are not limited by these terms, which are only used to distinguish one element from another.

Referring to fig. 1, the present application discloses a real-time push reminding system for exceeding violation alarm, which includes a processor and a data storage module; the processor is respectively communicated and/or electrically connected with the edge processing modules, the early warning scheduling module and the supervision early warning module; a number of edge processing modules are in communication and/or electrical connection with the acquisition sensor.

The edge processing modules acquire emission data through the acquisition sensors and analyze the emission data to acquire the emission labels. The value of the emission label is 0 or 1; and when the emission label is 1, indicating that the corresponding enterprise has the overproof and illegal emission phenomenon, and when the emission label is 0, indicating that the corresponding enterprise does not have the overproof and illegal emission phenomenon. The acquisition sensor in the embodiment comprises a gas detector and a water quality detector, and is used for monitoring whether gas and waste water discharged by an enterprise reach standards or violate rules; the emission data are sent to the edge processing module connected with the acquisition sensor after the acquisition sensor acquires the emission data, the edge processing module judges whether the emission data exceed the standard or not, when the emission data exceed the standard or not, the emission label is set to be 1, otherwise, the emission label is set to be 0. The real-time collection of the emission data can be realized through the matching of the acquisition sensor and the edge processing module, and the emission data can be analyzed in time, so that the problem of low processing efficiency caused by large data volume of the emission data is avoided.

According to the method, a processor acquires a region image according to a set period, and performs image preprocessing on the region image to acquire a target image; and inverting the water quality and the atmospheric composition according to the target image, and positioning the target enterprise according to the inversion result. The set period in this embodiment includes one hour, one day, and one week for the set period, and the regional image is obtained through remote sensing satellite and/or unmanned aerial vehicle. And acquiring the water pollution condition and the atmospheric pollution condition in the supervision area by analyzing the area image, and positioning the target enterprise according to the pollution condition when the water quality or the atmosphere is polluted. The target enterprise is determined through the image technology, and the efficiency of large-scale supervision can be improved.

The early warning scheduling module generates an early warning sequence according to the emission label and/or the target enterprise, and sends the early warning sequence to target personnel through the intelligent terminal; the generation of the early warning sequence in this embodiment provides three approaches: 1) when the emission label is 1 and the corresponding enterprise is a target enterprise, generating an early warning sequence; 2) when the emission label is 1, generating an early warning sequence; 3) and when the corresponding enterprise is the target enterprise, generating an early warning sequence. And the target personnel checks the target position in the early warning sequence on the spot and feeds back the checking result to the processor. The early warning sequence is immediately generated through the obtained emission label and the target enterprise, and workers are dispatched to check the target position in the early warning sequence on the spot, so that the aims of finding problems and early warning in time can be achieved.

The processor generates a supervision dynamic graph according to the emission label and/or the target enterprise; the monitoring dynamic map is a dynamic map updated in real time, the monitoring dynamic map comprises all enterprises in a monitoring area, each enterprise is provided with a dynamic label, each dynamic label comprises a monitoring label, a checking result, a geographic position and an enterprise type, the value of each monitoring label is 0 or 1, and the monitoring labels are updated in real time; when the regulatory label is 0, it indicates that the emission label of the corresponding business is 0, and the corresponding business is not the target business. The monitored results are integrated into a supervision dynamic graph, so that a supervisor can be helped to supervise a target enterprise, and continuous occurrence of exceeding standards and illegal emission is avoided.

The working principle of the invention is as follows:

acquiring emission data through an acquisition sensor, and analyzing the emission data through an edge processing module to obtain an emission label; acquiring regional images of a supervision region according to a set period, analyzing the regional images and then positioning the regional images to a target enterprise; generating an early warning sequence and a supervision dynamic graph according to the emission label and/or the target enterprise; target personnel check on site according to the early warning sequence and feed back a check result; and the supervisory personnel supervises the target enterprise according to the supervision dynamic graph.

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 foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.