CN117853295B - A safety and environmental protection emergency system based on industrial interconnection and digital panorama - Google Patents
A safety and environmental protection emergency system based on industrial interconnection and digital panorama Download PDFInfo
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Abstract
本发明公开了一种基于工业互联和数字全景的安全环保应急系统，涉及安全环保应急系统技术领域，解决了现有技术在检测废气时没有考虑废气会因低温空气而液化导致检测结果不准的技术问题；本发明通过气体浓度和温度成反比的关系得到修正因子，基于修正因子构建修正模型对采集的废气浓度进行修正，以提高废气检测的准确度，以及通过数字全景技术构建全景图像，同时将实时监测的数据通过可视化处理，展现在可视化界面上，使工作人员得到更为直观的信息和更多的判断依据，提高了事先判断问题原因的准确性。
The present invention discloses a safety and environmental protection emergency system based on industrial interconnection and digital panorama, relates to the technical field of safety and environmental protection emergency system, and solves the technical problem that the prior art does not consider that the exhaust gas may be liquefied due to low-temperature air when detecting exhaust gas, resulting in inaccurate detection results; the present invention obtains a correction factor through the inversely proportional relationship between gas concentration and temperature, constructs a correction model based on the correction factor to correct the collected exhaust gas concentration, so as to improve the accuracy of exhaust gas detection, and constructs a panoramic image through digital panorama technology, and at the same time, displays the real-time monitored data on a visual interface through visualization processing, so that the staff can obtain more intuitive information and more judgment basis, thereby improving the accuracy of pre-judgment of the cause of the problem.
Description
Technical Field
The invention belongs to the field of emergency systems, relates to industrial interconnection and digital panorama technology, and particularly relates to a safe and environment-friendly emergency system based on industrial interconnection and digital panorama.
Background
Along with the acceleration of the industrialization process, the environmental pollution problem is increasingly prominent, especially the industrial pollution has no negligible influence on the environment and the health and safety of human beings, various pollutants can be generated in the industrial production process, and how to effectively monitor the pollutants in real time is a great challenge facing the environmental protection and industrial production fields.
In the prior art for monitoring industrial pollutants, when the waste gas is collected, the influence of the temperature on the waste gas is not considered, and when the waste gas encounters cold air with low temperature, the gas can be liquefied, so that gas data collected by a sensor are different from actual data; in addition, according to the prior art, when an unexpected situation is found in the treatment process of the waste gas, for example, the safety index after the waste gas treatment does not reach the standard, for investigation reasons, staff analyzes possible abnormal reasons through collected data, because the analysis basis is few, and meanwhile, the accuracy of judging the abnormal reasons in advance is not high due to the fact that the change of the data cannot be intuitively observed, so that the problem reasons cannot be found in the first time, and the treatment progress is affected;
the invention provides a safety environment-friendly emergency system based on industrial interconnection and digital panorama, which aims to solve the problems.
Disclosure of Invention
The invention aims to at least solve one of the technical problems in the prior art, and therefore, the invention provides a safety environment-friendly emergency system based on industrial interconnection and digital panorama, which is used for solving the technical problems that the prior art monitors industrial pollution, gas data acquired by a sensor are different from actual data due to the fact that the influence of temperature on the exhaust gas is not considered when the exhaust gas is acquired, and accidents are found in the treatment process of the exhaust gas, such as the safety index after the treatment of the exhaust gas does not reach the standard, and the accidents cannot be treated in the first time.
In order to achieve the aim, the first aspect of the invention provides a safety environment-friendly emergency system based on industrial interconnection and digital panorama, which comprises a data analysis module, a data acquisition module and an emergency processing module, wherein the data acquisition module and the emergency processing module are connected with the data analysis module;
The data acquisition module acquires image data of a plurality of acquisition angles of a target area by using panorama acquisition equipment, wherein the panorama acquisition equipment comprises a panorama camera or a VR (virtual reality) camera, the target area is an exhaust gas treatment area, and
Acquiring monitoring data through data sensors distributed in a target area, wherein the data sensors comprise an air quality sensor and a temperature sensor;
The data analysis module is used for synthesizing image data of a plurality of acquisition angles based on a panoramic stitching tool and a stitching algorithm to obtain a panoramic image, wherein the panoramic stitching tool comprises PTGui, hugin or Adobe Photoshop software, the stitching algorithm comprises SIFT algorithm or SURF algorithm, and the panoramic stitching tool comprises a digital video camera (SURF) algorithm
Extracting air quality data in the monitoring data, correcting the air quality data to obtain corrected data, identifying whether the corrected data is abnormal or not through a depth analysis model, and sending an early warning signal to an emergency processing module if the corrected data is abnormal, wherein the depth analysis model is constructed based on an artificial intelligent model;
the emergency processing module is used for positioning an abnormal position on the panoramic image based on the correction data after receiving the early warning signal and marking the abnormal position as an accident position, starting an emergency plan to take emergency measures for the accident position, and
And visually displaying the accident position and the monitoring data by using a visual tool, wherein the visual tool comprises Tableau, power BI, D3.Js or matplotlib.
Preferably, the capturing image data of a plurality of capturing angles of the target area by using the panoramic capturing device includes:
And selecting a reference point from the target area, and shooting the target area by 360 degrees in full coverage by using panoramic acquisition equipment based on the reference point.
Preferably, the data sensor arranged in the target area collects monitoring data, including:
Acquiring the actual concentration of the exhaust gas and the actual temperature of the exhaust gas corresponding to the acquisition time in real time by a temperature sensor and an air quality sensor which are arranged in the exhaust port, and
The ambient temperature is acquired by a temperature sensor arranged outside the exhaust port, wherein the ambient temperature is not influenced by the exhaust port.
Preferably, the panorama stitching tool and stitching algorithm are used for compositing image data of a plurality of acquisition angles to obtain a panoramic image, and the method comprises the following steps:
detecting and matching the image data through a panoramic stitching tool to obtain feature points, calculating the feature points based on a stitching algorithm to obtain descriptors, matching the feature points in the image data based on the descriptors to obtain feature point pairs, and
Obtaining an image transformation relation of the feature point pairs by using a geometric transformation model, wherein the geometric transformation model comprises affine transformation or projective transformation, and constructing and obtaining a panoramic image based on the image data and the image transformation relation.
Preferably, the correcting the air quality data to obtain corrected data includes:
Marking the actual concentration of the collected exhaust gas as C, marking the actual temperature of the exhaust gas at the corresponding time of collection as T, marking the ambient temperature as T0, obtaining a correction model of Cx=C×F, wherein Cx is the corrected exhaust gas concentration, F is a correction factor, and
Based on the formula pv=nrt and the relation of gas concentration and volume c=n/V, the formula c=p/RT is deduced, and the gas concentration and temperature are inversely proportional, so that a correction factor f=axx (T0/T), i.e. a correction model cx=cxaxx (T0/T), is obtained, wherein P represents the pressure, V represents the gas volume, n represents the mole number, R is the ideal gas constant, and a is the proportionality coefficient.
In the prior art, when the concentration of the exhaust gas is collected, the influence of the temperature on the concentration of the gas is not considered, so that the concentration of the collected exhaust gas is different from the actual concentration of the exhaust gas, and the difference mainly comes from the fact that when the exhaust gas encounters cold air with low temperature, the gas can be liquefied, and the concentration of the collected exhaust gas is reduced;
according to the invention, the acquired exhaust gas concentration is corrected by constructing the correction model, so that the acquired corrected gas concentration is more similar to the actual gas concentration, and the accuracy of the acquired data is improved.
Preferably, the identifying whether the correction data is abnormal by the depth analysis model includes:
Generating standard input data based on the actual concentration of the exhaust gas and the actual temperature of the exhaust gas corresponding to the exhaust gas history data, obtaining corresponding history correction data by inputting the standard input data into a deep analysis model obtained based on artificial intelligence model training, and
And comparing the historical correction data with the safety emission index of the waste gas, judging that the quality of the waste gas is abnormal if the historical correction data exceeds the safety emission index, and sending an early warning signal to an early warning processing module, wherein the historical data of the waste gas is the historical data of the acquisition target area.
Preferably, the locating the abnormal position on the panoramic image based on the correction data, marked as an accident position, includes:
The method comprises the steps of locating an accident position on a panoramic image based on position information of an abnormal sensor corresponding to correction data, and calling image information of the abnormal sensor corresponding to the panoramic image based on the accident position, wherein the position information comprises longitude and latitude and pixel positions relative to the panoramic image, and the image information comprises the specific position of the abnormal sensor, surrounding environment and building facilities.
In the prior art, when abnormal sensor data is found, the reasons for the abnormal occurrence are found through data analysis and field investigation, so that the maintenance time is prolonged, the factory cannot normally run as early as possible, and meanwhile, when the field investigation is carried out, the safety of staff can be influenced due to long-time stay;
According to the invention, the panoramic image is established, the position information of the abnormal sensor is utilized, the image information of the corresponding abnormal sensor in the panoramic image is called, the position of the abnormal sensor, the surrounding environment and the building facilities are provided for the staff, the staff can intuitively observe the abnormal area, and the accurate decision making and countermeasures taking at the first time are facilitated.
Preferably, the step of starting the emergency plan takes emergency measures for the accident position, including:
The emergency treatment module is connected with the waste gas treatment equipment based on the wireless communication technology, and sends an instruction to the waste gas treatment equipment when receiving the early warning signal, and emergency measures are taken for the accident position, wherein the emergency measures comprise stopping the production process, reducing the generation of waste gas, closing the exhaust port, warning the staff, and monitoring the data of the waste gas in real time for the staff to refer.
Preferably, the visual display of the accident position and the monitoring data by using the visual tool includes:
the method comprises the steps of preprocessing correction data to obtain visual data, wherein the preprocessing comprises data cleaning, aggregation, calculation of derived indexes and statistical analysis processing, generating image data which is used for associating the visual data with a chart based on the visual data, displaying real-time monitoring data and early warning information through the chart based on the image data, and displaying the real-time monitoring data and early warning information through the chart
Based on the real-time monitoring data, a data curve is generated through a visualization tool, and the data change trend is reflected.
In the prior art, the abnormal cause is analyzed by collecting data, which may cause that the accuracy of the abnormal cause which is judged by the staff in advance is not high, and the main cause of the problem is that single data cannot be provided for excessive information of the staff, and meanwhile, the analyzed data are all past data, so that the judgment basis obtained by the staff is limited, and the accuracy of judging the abnormal cause is not high.
The acquired data is visualized and displayed on the visualization interface, so that more reliable and easily-observed chart data can be provided for staff, and the trend of data change can be reflected through real-time monitoring, so that the staff can obtain more visual information, more judgment basis can be obtained, and the judgment accuracy is improved.
Compared with the prior art, the invention has the beneficial effects that:
1. The invention obtains a correction factor through the inverse relation between the gas concentration and the temperature, builds a correction model based on the correction factor, corrects the collected gas concentration, ensures that the obtained corrected gas concentration is more similar to the actual gas concentration, and improves the accuracy of the collected data.
2. According to the technical scheme, the acquired data are visualized, chart data are displayed on a visualized interface, and meanwhile, the trend of data change is reflected through real-time monitoring, so that not only is more visual information obtained by workers, but also more judgment basis is obtained, and the judgment accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic view of an overall frame of an embodiment of the present invention;
fig. 2 is a schematic flow chart of an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an embodiment of a first aspect of the present invention provides a safety and environmental protection emergency system based on industrial interconnection and digital panorama, which includes a data analysis module, and a data acquisition module and an emergency processing module connected with the data analysis module;
The data acquisition module acquires image data of a plurality of acquisition angles of a target area by using panorama acquisition equipment, wherein the panorama acquisition equipment comprises a panorama camera or a VR (virtual reality) camera, the target area is an exhaust gas treatment area, and
Acquiring monitoring data through data sensors distributed in a target area, wherein the data sensors comprise an air quality sensor and a temperature sensor;
The method comprises the steps of selecting a reference point in a target area, shooting the target area by using panoramic acquisition equipment in 360 degrees based on the reference point, acquiring the actual concentration of waste gas and the actual temperature of the waste gas corresponding to acquisition time in real time through a temperature sensor and an air quality sensor arranged in an exhaust port, and acquiring the ambient temperature through a temperature sensor arranged outside the exhaust port, wherein the ambient temperature is not influenced by the exhaust port.
For example, there is an exhaust treatment area where the concentration and temperature of the exhaust need to be monitored and the temperature of the environment known, and a panoramic camera is used as a panoramic acquisition device and temperature and air quality sensors for data acquisition.
Firstly, selecting a reference point, such as the center position of the target area, from the target area, then, based on the reference point, using a panoramic camera to shoot the target area in 360 degrees in full coverage, so that image data of the target area in all directions can be obtained;
Meanwhile, a temperature sensor and an air quality sensor are arranged in the exhaust port, the sensors can acquire the actual concentration of the exhaust gas and the actual temperature of the exhaust gas corresponding to the acquisition time in real time, in addition, the temperature sensor is arranged outside the exhaust port and acquires the ambient temperature, and accurate ambient temperature data can be provided because the temperature sensor is not influenced by the exhaust port.
The data analysis module is used for synthesizing image data of a plurality of acquisition angles based on a panoramic stitching tool and a stitching algorithm to obtain a panoramic image, wherein the panoramic stitching tool comprises PTGui, hugin or Adobe Photoshop software, the stitching algorithm comprises SIFT algorithm or SURF algorithm, and the panoramic stitching tool comprises a digital video camera (SURF) algorithm
Extracting air quality data in the monitoring data, correcting the air quality data to obtain corrected data, identifying whether the corrected data is abnormal or not through a depth analysis model, and sending an early warning signal to an emergency processing module if the corrected data is abnormal, wherein the depth analysis model is constructed based on an artificial intelligent model;
the method comprises the steps of detecting and matching image data through a panoramic stitching tool to obtain feature points, calculating the feature points based on a stitching algorithm to obtain descriptors, matching the feature points in the image data based on the descriptors to obtain feature point pairs, obtaining an image transformation relation of the feature point pairs by using a geometric transformation model, wherein the geometric transformation model comprises affine transformation or projective transformation, and constructing and obtaining a panoramic image based on the image data and the image transformation relation.
For example, image 1, image 2 and image 3 are subjected to panorama stitching, PTGui is used as a panorama stitching tool, and a SIFT algorithm is selected for feature point detection and matching.
Firstly, importing image data into PTGui software, automatically detecting and matching feature points by the PTGui to generate feature point pairs, then calculating descriptors of the feature points by using a stitching algorithm, wherein the descriptors represent unique features of the feature points and can be used for matching the feature points, then matching the feature points in the image data through the descriptors to obtain the feature point pairs, and the feature point pairs represent the feature points at corresponding positions in different images.
In this example, assume that PTGui generates the following feature point pairs:
pairs of feature points for image 1 (p 1, p 2), (p 3, p 4)
Pairs of feature points of image 2 (p 5, p 6), (p 7, p 8)
Pairs of feature points of image 3 (p 9, p 10), (p 11, p 12)
Then, image transformation relations between feature point pairs are calculated using geometric transformation models (e.g. affine transformation or projective transformation), which describe how feature points on one image are moved to corresponding positions on the other image, finally panoramic images are constructed based on the image data and the image transformation relations, and final panoramic images can be obtained by overlapping and fusing each image according to its corresponding transformation relation.
The method comprises the steps of marking the actual concentration of collected waste gas as C, marking the actual temperature of the waste gas as T when the collected waste gas corresponds to the collected waste gas, marking the ambient temperature as T0, obtaining a correction model, wherein Cx=C×F, cx is the corrected waste gas concentration, F is a correction factor, and based on a formula PV=nRT and a relation formula C=n/V of the gas concentration and the volume, the formula C=P/RT is deduced, the gas concentration and the temperature are inversely proportional to obtain the correction factor F=A× (T0/T), namely the correction model Cx=C×A× (T0/T), wherein P represents the pressure, V represents the gas volume, n represents the mole number, R is an ideal gas constant, A is a proportionality coefficient, generating standard input data based on the actual concentration of the waste gas corresponding to the waste gas history data and the actual temperature of the waste gas, obtaining corresponding history correction data by inputting the standard input data into a depth analysis model, wherein the depth analysis model is obtained based on artificial intelligent model training, judging the waste gas quality warning and early warning processing module is sent to a target area when the history data exceeds a safety discharge index.
For example, an exhaust gas collection system that can collect the exhaust gas concentration and the exhaust gas temperature in the target area, assuming that the exhaust gas history data is collected such that the actual exhaust gas concentration c=100 ppm, the actual exhaust gas temperature t=300K, the ambient temperature t0=298K, and the proportionality coefficient a=2.
From the correction model cx=c×f, we can calculate the correction factor F:
F=A×(T0/T)=2×(298K/300K)=1.9866
applying the correction factor to the exhaust gas concentration to obtain a corrected exhaust gas concentration:
Cx=C×A×(T0/T)=100×1.9866=198.66
the actual concentration and the actual temperature of the exhaust gas are input into the depth analysis model as standard input data. The depth analysis model can analyze and process input data based on the artificial intelligent model obtained by training, generate historical correction data, and compare the historical correction data with the safety emission index of the waste gas. And if the corrected waste gas concentration exceeds the safety emission index, namely Cx > safety emission index, judging that the waste gas quality is abnormal, and sending an early warning signal to an early warning processing module.
The emergency processing module is used for positioning an abnormal position on the panoramic image based on the correction data after receiving the early warning signal and marking the abnormal position as an accident position, starting an emergency plan to take emergency measures for the accident position, and
And visually displaying the accident position and the monitoring data by using a visual tool, wherein the visual tool comprises Tableau, power BI, D3.Js or matplotlib.
The method comprises the steps of locating an accident position on a panoramic image based on position information of an abnormal sensor corresponding to correction data, calling image information of the abnormal sensor corresponding to the panoramic image based on the accident position, wherein the position information comprises longitude and latitude and pixel positions relative to the panoramic image, the image information comprises specific positions of the abnormal sensor, surrounding environments and building facilities, an emergency processing module is connected with waste gas processing equipment based on a wireless communication technology, when an early warning signal is received, the emergency processing module sends an instruction to the waste gas processing equipment to take emergency measures for the accident position, and the emergency measures comprise stopping a production process, reducing waste gas generation, closing an exhaust port, warning workers and monitoring waste gas data in real time for the workers to refer to. The method comprises the steps of preprocessing correction data to obtain visual data, wherein the preprocessing comprises data cleaning, aggregation, calculation of derived indexes and statistical analysis processing, generating image data which is used for associating the visual data with a chart based on the visual data, displaying real-time monitoring data and early warning information through the chart based on the image data, and generating a data curve based on the real-time monitoring data through a visualization tool to reflect the data change trend.
For example, the correction data of the exhaust gas concentration is obtained through the correction model and the depth analysis model, and the early warning signal of the abnormal exhaust gas quality is received. The following is an example illustrating how the accident location is located on the panoramic image and visually presented based on the correction data:
First, the accident position is located on the panoramic image based on the position information of the anomaly sensor corresponding to the correction data. It is assumed that the pixel coordinates of the accident position in the panoramic image have been determined to be (x, y).
Then, the image information corresponding to the accident position in the panoramic image is called, the image information comprises the specific position of the abnormal sensor, the surrounding environment and the building facilities, and the image information can be displayed by extracting the area in the image or marking the accident position.
The accident location and monitoring data are visually presented using a visualization tool (e.g., tableau, power BI, D3.Js, or matplotlib). For example, the location of the accident may be marked on the panoramic image and the correction data for the exhaust gas concentration, as well as other relevant monitoring data (e.g., temperature, pressure, etc.), may be displayed via a data chart.
The emergency treatment module is connected with the waste gas treatment equipment based on the wireless communication technology. When the early warning signal is received, the emergency processing module can send a command to the waste gas treatment equipment to take emergency measures for the accident position. Such emergency measures may include stopping the production process, reducing the generation of exhaust gas, closing the exhaust port, etc. Meanwhile, the staff is warned, and the data of the waste gas are monitored in real time for the staff to refer to.
By preprocessing the correction data, visual data can be obtained. This includes the steps of data cleaning, aggregation, calculation of derived indicators, statistical analysis, and the like.
Based on the visualization data, image data is generated that associates the visualization data with the chart. And proper visualization tools can be selected for operation according to actual demands so as to display real-time monitoring data and early warning information.
And finally, generating a data curve by a visualization tool based on the real-time monitoring data so as to reflect the data change trend. This can help the staff to know the exhaust gas monitoring data more intuitively and take corresponding measures in time.
The method comprises the steps of obtaining a plurality of data, wherein part of data in the formula is obtained by removing dimensions and taking the numerical calculation, the formula is a formula closest to the actual situation by simulating a large amount of collected data through software, and preset parameters and preset thresholds in the formula are set by a person skilled in the art according to the actual situation or are obtained through simulating the large amount of data.
The working principle of the invention is as follows:
The method comprises the steps of collecting image data of a plurality of collecting angles of a target area by using panoramic collecting equipment, collecting monitoring data through data sensors distributed in the target area, synthesizing the image data of the collecting angles based on a panoramic splicing tool and a splicing algorithm to obtain a panoramic image, extracting air quality data in the monitoring data, correcting the air quality data to obtain correction data, identifying whether the correction data is abnormal through a depth analysis model, sending an early warning signal to an emergency processing module, wherein the depth analysis model is constructed based on an artificial intelligent model, locating an abnormal position on the panoramic image based on the correction data after receiving the early warning signal and marking the abnormal position as an accident position, starting an emergency plan to take emergency measures on the accident position, and visually displaying the accident position and the monitoring data by using a visualization tool.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. The safety environment-friendly emergency system based on industrial interconnection and digital panorama is characterized by comprising a data analysis module, a data acquisition module and an emergency processing module, wherein the data acquisition module and the emergency processing module are connected with the data analysis module;
The data acquisition module acquires image data of a plurality of acquisition angles of a target area by using panorama acquisition equipment, wherein the panorama acquisition equipment comprises a panorama camera or a VR (virtual reality) camera, the target area is an exhaust gas treatment area, and
Acquiring monitoring data through data sensors distributed in a target area, wherein the data sensors comprise an air quality sensor and a temperature sensor;
The data analysis module is used for synthesizing image data of a plurality of acquisition angles based on a panoramic stitching tool to obtain a panoramic image, wherein the panoramic stitching tool comprises PTGui, hugin or Adobe Photoshop software, and
Extracting air quality data in the monitoring data, correcting the air quality data to obtain corrected data, identifying whether the corrected data is abnormal or not through a depth analysis model, and sending an early warning signal to an emergency processing module if the corrected data is abnormal, wherein the depth analysis model is constructed based on an artificial intelligent model;
the emergency processing module is used for positioning an abnormal position on the panoramic image based on the correction data after receiving the early warning signal and marking the abnormal position as an accident position, starting an emergency plan to take emergency measures for the accident position, and
Using a visualization tool to visually display the accident position and the monitoring data, wherein the visualization tool comprises Tableau, power BI, D3.Js or matplotlib;
the correcting process is performed on the air quality data to obtain corrected data, including:
Marking the actual concentration of the collected exhaust gas as C, marking the actual temperature of the exhaust gas at the corresponding time of collection as T, marking the ambient temperature as T0, obtaining a correction model of Cx=C×F, wherein Cx is the corrected exhaust gas concentration, F is a correction factor, and
Based on the formula pv=nrt and the relation of the gas concentration and the volume c=n/V, the formula c=p/RT is deduced, and the gas concentration and the temperature are inversely proportional, so that a correction factor f=axx (T0/T) is obtained, namely a correction model cx=cxaxx (T0/T), wherein P represents the pressure, V represents the gas volume, n represents the mole number, R is an ideal gas constant, and a is a proportionality coefficient;
The identifying whether the correction data is abnormal through the depth analysis model comprises the following steps:
Generating standard input data based on the actual concentration of the exhaust gas corresponding to the exhaust gas history data and the actual temperature of the exhaust gas, generating standard output data based on whether the exhaust gas quality of the exhaust gas history data is abnormal, training a deep analysis model based on the standard input data and the standard output data, wherein the judging whether the exhaust gas quality of the exhaust gas history data is abnormal comprises correcting by a correction model based on the actual concentration of the exhaust gas corresponding to the history data and the actual temperature of the exhaust gas to obtain history correction data, and
And comparing the historical correction data with the safety emission index of the waste gas, judging that the quality of the waste gas is abnormal if the historical correction data exceeds the safety emission index, and sending an early warning signal to an early warning processing module, wherein the historical data of the waste gas is the historical data of the acquisition target area.
2. The industrial interconnect and digital panorama based safety and environmental protection emergency system according to claim 1, wherein said data sensors deployed in the target area collect monitoring data, comprising:
Acquiring the actual concentration of the exhaust gas and the actual temperature of the exhaust gas corresponding to the acquisition time in real time by a temperature sensor and an air quality sensor which are arranged in the exhaust port, and
The ambient temperature is acquired by a temperature sensor arranged outside the exhaust port, wherein the ambient temperature is not influenced by the exhaust port.
3. The industrial interconnection and digital panorama-based safe and environment-friendly emergency system according to claim 1, wherein the panorama-based stitching tool synthesizes image data of a plurality of acquisition angles to obtain a panoramic image, and comprises:
detecting and matching the image data through a panoramic stitching tool to obtain feature points, calculating the feature points based on a stitching algorithm to obtain descriptors, matching the feature points in the image data based on the descriptors to obtain feature point pairs, and
Obtaining an image transformation relation of the feature point pairs by using a geometric transformation model, wherein the geometric transformation model comprises affine transformation or projective transformation, and constructing and obtaining a panoramic image based on the image data and the image transformation relation.
4. The industrial interconnect and digital panorama based safety and environmental protection emergency system according to claim 1, wherein said locating an abnormal location on the panorama image based on the correction data, labeled as an accident location, comprises:
The method comprises the steps of locating an accident position on a panoramic image based on position information of an abnormal sensor corresponding to correction data, and calling image information of the abnormal sensor corresponding to the panoramic image based on the accident position, wherein the position information comprises longitude and latitude and pixel positions relative to the panoramic image, and the image information comprises the specific position of the abnormal sensor, surrounding environment and building facilities.
5. The industrial interconnect and digital panorama based safety and environmental protection emergency system according to claim 1, wherein said initiating an emergency plan takes emergency action for the location of an accident, comprising:
The emergency treatment module is connected with the waste gas treatment equipment based on the wireless communication technology, and sends an instruction to the waste gas treatment equipment when receiving the early warning signal, and emergency measures are taken for the accident position, wherein the emergency measures comprise stopping the production process, reducing the generation of waste gas, closing the exhaust port, warning the staff, and monitoring the data of the waste gas in real time for the staff to refer.
6. The industrial interconnection and digital panorama-based safety and environmental protection emergency system according to claim 1, wherein said utilizing visualization tools to visually display accident location and monitoring data comprises:
the method comprises the steps of preprocessing correction data to obtain visual data, wherein the preprocessing comprises data cleaning, aggregation, calculation of derived indexes and statistical analysis processing, generating image data which is used for associating the visual data with a chart based on the visual data, displaying real-time monitoring data and early warning information through the chart based on the image data, and displaying the real-time monitoring data and early warning information through the chart
Based on the real-time monitoring data, a data curve is generated through a visualization tool, and the data change trend is reflected.
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