CN112991669A - Dangerous operation early warning method, system, storage medium and processing terminal - Google Patents
Dangerous operation early warning method, system, storage medium and processing terminal Download PDFInfo
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Abstract
The invention belongs to the technical field of danger early warning, and discloses a dangerous operation early warning method, a dangerous operation early warning system, a storage medium and a processing terminal, wherein the dangerous operation early warning method comprises the following steps: collecting image data of a dangerous work site and relevant temperature and pressure data of a dangerous work environment, dangerous work types, areas, personnel, time and other information; analyzing and judging fire hazard, nonstandard operation or other unsafe factors based on the acquired image data, a dangerous operation management system and an operation flow; judging whether the working environment of the dangerous work is safe or not based on the acquired temperature, pressure or other environmental data of the dangerous work environment; when the unsafe factors or the unsafe working environment are analyzed and judged, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan, and an alarm is given to the unsafe factors; and displaying relevant environment data, dangerous operation types, areas, personnel, time and other information. The invention effectively reduces the occurrence of disasters and improves the accuracy and efficiency of early warning.
Description
Technical Field
The invention belongs to the technical field of danger early warning, and particularly relates to a dangerous operation early warning method, a dangerous operation early warning system, a storage medium and a processing terminal.
Background
At present: dangerous work refers to work which is easy to cause casualty accidents and may have great harm to the safety of operators, others and surrounding facilities. The dangerous work mainly comprises nine major types, namely fire work, limited space entering work, soil breaking work, temporary power utilization work, high-altitude work, circuit breaking work, hoisting work, equipment maintenance work and blind plate drawing and plugging work. At present, dangerous operation is applied to less civil projects and is common in petrochemical enterprises.
However, the existing dangerous operation early warning method mainly finds and warns dangers in a manual patrol mode, but the manual early warning method is not accurate in subjective judgment, is incomplete in information mastering, and cannot perform dangerous early warning and handling comprehensively in real time.
Through the above analysis, the problems and defects of the prior art are as follows: the existing alarm method has inaccurate subjective judgment, incomplete information mastering and incapability of carrying out real-time and comprehensive danger early warning and disposal.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a dangerous work early warning method, a dangerous work early warning system, a storage medium and a processing terminal.
The invention is realized in such a way that a dangerous operation early warning method comprises the following steps:
the method comprises the steps that image data of a dangerous operation site are collected through a camera module by utilizing a camera of a video monitoring system or a mobile wireless camera arranged on the camera of the dangerous operation site;
collecting relevant temperature and pressure data of a dangerous working environment through a data acquisition module; meanwhile, dangerous operation types, areas, personnel, time and other information are collected through a data collection module;
uploading the dangerous work management system and the operation flow to a background through a data uploading module; analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors by an analyzing and judging module based on the acquired image data, a dangerous operation management system and an operation flow;
judging whether the working environment of the dangerous work is safe or not by an environment judging module based on the acquired temperature, pressure or other environmental data of the dangerous work environment; when the interlocking linkage module analyzes and judges that unsafe factors exist or the working environment is unsafe, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan;
when the unsafe factors occur or the working environment is unsafe through analysis and judgment of the alarm module, the alarm module gives an alarm to the unsafe factors; and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or the terminal provided with the display equipment.
Further, the analyzing and judging module for analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors based on the acquired image data, the dangerous operation management system and the operation flow comprises the following steps:
(1) acquiring preset standard scene image data with fire hazard, nonstandard operation or other unsafe factors; carrying out image feature extraction on the image data of each standard scene to obtain image feature data of each unsafe scene;
(2) acquiring acquired image data, judging scene types of the acquired image data, and extracting image characteristics of the acquired image data based on the corresponding scene types;
(3) comparing the extracted image characteristics of the collected image with the image characteristic data of each unsafe scene to obtain an image judgment result;
(4) acquiring a dangerous work management system and an operation flow, and comparing the dangerous work management system with the actual operation flow displayed by the image data to obtain a flow judgment result;
(5) and obtaining an analysis judgment result of the fire hazard, the nonstandard operation or other unsafe factors based on the image judgment result and the process judgment result.
Further, in step (1), the extracting image features of the image data of each standard scene includes:
1) preprocessing a standardized scene image, and respectively extracting dense SIFT features and LBP features of the preprocessed processed image;
2) calculating dictionary matrixes required by extracting hierarchical sparse fusion features layer by utilizing an offline scene image set, and performing hierarchical sparse coding and fusion on a processed image by combining the dictionary matrixes to form local sparse fusion feature expression of the image;
3) performing SPM pooling on the local sparse fusion feature expression of the image to form a global sparse fusion feature expression of the image;
4) carrying out normalization processing on the global sparse fusion feature expression of the image; and performing approximate kernel transformation on the normalized global sparse fusion feature expression to obtain the image features of the scene image.
Further, whether the dangerous work working environment is safe or not is judged by the environment judgment module based on the collected temperature, pressure or other environmental data of the dangerous work environment, and the judgment comprises the following steps:
firstly, acquiring temperature, pressure or other environmental data of a dangerous operation environment, and carrying out classified statistics on the environmental data to obtain a corresponding environmental data table;
secondly, calling the corresponding normal environment data table based on the category of the environment data table; and comparing and analyzing the data in the environment data table with the data in the normal environment data table one by one, and judging whether abnormal environment data occur or not.
Further, the data in the normal environment data table is a normal environment data range value obtained after the previous normal environment data at the same time is subjected to big data analysis processing.
Further, the interlocking linkage includes: closing the relevant valve and cutting off the power supply of the relevant part.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the method comprises the steps that image data of a dangerous operation site are collected through a camera module by utilizing a camera of a video monitoring system or a mobile wireless camera arranged on the camera of the dangerous operation site;
collecting relevant temperature and pressure data of a dangerous working environment through a data acquisition module; meanwhile, dangerous operation types, areas, personnel, time and other information are collected through a data collection module;
uploading the dangerous work management system and the operation flow to a background through a data uploading module; analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors by an analyzing and judging module based on the acquired image data, a dangerous operation management system and an operation flow;
judging whether the working environment of the dangerous work is safe or not by an environment judging module based on the acquired temperature, pressure or other environmental data of the dangerous work environment; when the interlocking linkage module analyzes and judges that unsafe factors exist or the working environment is unsafe, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan;
when the unsafe factors occur or the working environment is unsafe through analysis and judgment of the alarm module, the alarm module gives an alarm to the unsafe factors; and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or the terminal provided with the display equipment.
Another objective of the present invention is to provide an information data processing terminal, which is used for implementing the dangerous work early warning method.
Another object of the present invention is to provide a fire-fighting internet of things technology-based hazardous operation warning system for implementing the hazardous operation warning method, the fire-fighting internet of things technology-based hazardous operation warning system including:
the camera module is used for acquiring image data of the dangerous operation site by utilizing a camera picture of a video monitoring system or a mobile wireless camera arranged on the dangerous operation site;
the data acquisition module is used for acquiring relevant temperature and pressure data of the dangerous work environment; meanwhile, the system is used for collecting dangerous operation types, areas, personnel, time and other information;
the data uploading module is used for uploading the dangerous work management system and the operation flow to a background;
the analysis and judgment module is used for analyzing and judging fire hazard, nonstandard operation or other unsafe factors based on the acquired image data, a dangerous operation management system and an operation flow;
the environment judgment module is used for judging whether the dangerous work environment is safe or not based on the acquired temperature, pressure or other environment data of the dangerous work environment;
the interlocking linkage module is used for carrying out interlocking linkage based on a preset self-sending emergency interlocking plan when analyzing and judging that unsafe factors exist;
the communication module is used for carrying out data transmission and communication in a wireless mode;
the alarm module is used for giving an alarm to the unsafe factors when the unsafe factors are analyzed and judged;
and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or a terminal provided with the display equipment.
Further, dangerous operation early warning system based on fire control internet of things still includes:
a handheld terminal and a client;
the handheld terminal is used for carrying out real-time video recording, photographing and character recording on the operation condition of a site and displaying the nearby dangerous operation condition in a map form;
and the client is used for carrying out online processing on the application, approval, supervision, record and other processes of dangerous work.
By combining all the technical schemes, the invention has the advantages and positive effects that: the fire-fighting Internet of things platform-based fire-fighting monitoring system carries out fire monitoring and nonstandard operation monitoring on a dangerous operation site through a camera picture on the dangerous operation site, alarms unsafe factors caused by careless omission of field workers, and links a related production process control system to achieve the purpose of reducing disasters.
According to the invention, a dangerous operation management system and an operation process are integrated into the fire-fighting Internet of things platform, so that electronic and informatization management and control are realized. The client (PC, PAD and mobile phone) of the fire-fighting Internet of things platform is used for realizing the on-line operation of the whole processes of application, approval, supervision, recording and the like of dangerous work.
According to the invention, the potential fire hazard and irregular operation possibly generated by dangerous operation are alarmed by combining artificial intelligence and artificial judgment through the video picture of the camera, and the action of the production process control system of the phase lock switch is connected in parallel, so that the occurrence of disasters is reduced.
Compared with the traditional management, the electronic management of dangerous work improves the efficiency and provides more management methods.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a dangerous work early warning method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for analyzing and determining fire hazards, irregular work or other unsafe factors by an analyzing and determining module based on collected image data and a dangerous work management system and an operation flow according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for extracting image features from image data of each standard scene according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for determining, by an environment determination module, whether a hazardous working environment is safe based on collected temperature, pressure, or other environmental data of the hazardous working environment according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a dangerous work early warning system based on the technology of the fire fighting internet of things according to an embodiment of the present invention;
in the figure: 1. a camera module; 2. a data acquisition module; 3. a data uploading module; 4. an analysis and judgment module; 5. an environment judgment module; 6. an interlocking linkage module; 7. a communication module; 8. an alarm module; 9. and a display module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a method, a system, a storage medium and a processing terminal for early warning of dangerous work, which are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for warning dangerous work according to the embodiment of the present invention includes:
s101, acquiring image data of a dangerous operation site by using a camera picture of a video monitoring system or a mobile wireless camera arranged on the dangerous operation site through a camera module;
s102, collecting relevant temperature and pressure data of a dangerous working environment through a data collection module; meanwhile, dangerous operation types, areas, personnel, time and other information are collected through a data collection module;
s103, uploading the dangerous work management system and the operation flow to a background through a data uploading module; analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors by an analyzing and judging module based on the acquired image data, a dangerous operation management system and an operation flow;
s104, judging whether the dangerous work environment is safe or not through an environment judging module based on the acquired temperature, pressure or other environment data of the dangerous work environment; when the interlocking linkage module analyzes and judges that unsafe factors exist or the working environment is unsafe, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan;
s105, when the unsafe factors are analyzed and judged through the alarm module or the working environment is unsafe, giving an alarm to the unsafe factors; and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or the terminal provided with the display equipment.
Those skilled in the art can also implement the method of warning dangerous work according to the present invention by using other steps, and the method of warning dangerous work according to the present invention shown in fig. 1 is only one specific embodiment.
As shown in fig. 2, in step S103, the analyzing and determining module for analyzing and determining fire hazards, irregular work or other unsafe factors based on the collected image data, the dangerous work management system and the operation flow according to the embodiment of the present invention includes:
s201, acquiring preset standard scene image data with fire hazard, nonstandard operation or other unsafe factors; carrying out image feature extraction on the image data of each standard scene to obtain image feature data of each unsafe scene;
s202, acquiring acquired image data, judging scene types of the acquired image data, and extracting image features of the acquired image data based on the corresponding scene types;
s203, comparing the extracted image characteristics of the collected image with the image characteristic data of each unsafe scene to obtain an image judgment result;
s204, acquiring a dangerous work management system and an operation flow, and comparing the dangerous work management system and the operation flow with an actual operation flow displayed by image data to obtain a flow judgment result;
and S205, obtaining an analysis judgment result of the fire hazard, the irregular operation or other unsafe factors based on the image judgment result and the process judgment result.
As shown in fig. 3, in step S201, the image feature extraction on the image data of each standard scene according to the embodiment of the present invention includes:
s301, preprocessing the standardized scene image, and respectively extracting dense SIFT features and LBP features of the preprocessed processed image;
s302, calculating dictionary matrixes required for extracting hierarchical sparse fusion features layer by utilizing an offline scene image set, and performing hierarchical sparse coding and fusion on a processed image by combining the dictionary matrixes to form local sparse fusion feature expression of the image;
s303, performing SPM pooling on the local sparse fusion feature expression of the image to form a global sparse fusion feature expression of the image;
s304, carrying out normalization processing on the global sparse fusion feature expression of the image; and performing approximate kernel transformation on the normalized global sparse fusion feature expression to obtain the image features of the scene image.
As shown in fig. 4, in step S104, the determining, by the environment determining module, whether the hazardous working environment is safe based on the collected temperature, pressure, or other environmental data of the hazardous working environment according to the embodiment of the present invention includes:
s401, acquiring temperature, pressure or other environmental data of the acquired dangerous work environment, and performing classified statistics on the environmental data to acquire a corresponding environmental data table;
s402, calling the corresponding normal environment data table based on the type of the environment data table; and comparing and analyzing the data in the environment data table with the data in the normal environment data table one by one, and judging whether abnormal environment data occur or not.
The data in the normal environment data table provided by the embodiment of the invention is a normal environment data range value obtained after the previous normal environment data at the same time is subjected to big data analysis processing.
In step S104, the interlocking linkage provided in the embodiment of the present invention includes: closing the relevant valve and cutting off the power supply of the relevant part.
As shown in fig. 5, the dangerous work early warning system based on the technology of the fire fighting internet of things provided by the embodiment of the invention includes:
the camera module 1 is used for acquiring image data of a dangerous operation site by utilizing a camera picture of a video monitoring system or a mobile wireless camera arranged on the dangerous operation site;
the data acquisition module 2 is used for acquiring relevant temperature and pressure data of the dangerous work environment; meanwhile, the system is used for collecting dangerous operation types, areas, personnel, time and other information;
the data uploading module 3 is used for uploading the dangerous work management system and the operation flow to a background;
the analysis and judgment module 4 is used for analyzing and judging fire hazard, nonstandard operation or other unsafe factors based on the acquired image data, a dangerous operation management system and an operation flow;
the environment judgment module 5 is used for judging whether the dangerous work environment is safe or not based on the acquired temperature, pressure or other environment data of the dangerous work environment;
the interlocking linkage module 6 is used for carrying out interlocking linkage based on a preset self-sending emergency interlocking plan when analyzing and judging that unsafe factors exist;
a communication module 7 for performing data transmission and communication in a wireless manner;
the alarm module 8 is used for giving an alarm to the unsafe factors when the unsafe factors are analyzed and judged;
and the display module 9 is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using display equipment or a terminal provided with the display equipment.
The dangerous work early warning system based on the fire-fighting internet of things technology provided by the embodiment of the invention further comprises:
a handheld terminal and a client;
the handheld terminal is used for carrying out real-time video recording, photographing and character recording on the operation condition of a site and displaying the nearby dangerous operation condition in a map form;
and the client is used for carrying out online processing on the application, approval, supervision, record and other processes of the dangerous work.
The technical solution of the present invention is further illustrated by the following specific examples.
The fire-fighting Internet of things platform-based fire-fighting monitoring system carries out fire monitoring and nonstandard operation monitoring on a dangerous operation site through a camera picture on the dangerous operation site, alarms unsafe factors caused by careless omission of field workers, and links a related production process control system to achieve the purpose of reducing disasters.
Meanwhile, a dangerous operation management system and an operation process are integrated to the fire-fighting Internet of things platform, and electronic and informatization management and control are achieved. The client (PC, PAD and mobile phone) of the fire-fighting Internet of things platform is used for realizing the on-line operation of the whole processes of application, approval, supervision, recording and the like of dangerous work.
According to the invention, the picture of a camera (a camera of a video monitoring system or a mobile wireless camera) of a dangerous operation site is accessed to the fire-fighting Internet of things platform. The video pictures are analyzed and judged in a mode of combining artificial intelligence technology and artificial judgment, so that the purposes of monitoring and alarming fire hazard and nonstandard operation in the dangerous operation process are achieved.
And simultaneously, carrying out interlocking linkage on related production process control systems (such as DCS, MES and F & G) of the dangerous operation area automatically or manually according to the alarm. For example: and setting an automatic emergency interlocking plan for a related production process control system in a dangerous operation area and an operation time period, and if related alarm occurs in the operation process, closing related valves, cutting off related part power supplies and the like.
During operation, related data of the production process control system can be pushed to a field supervisor, and the data such as temperature, pressure and the like which are invisible to naked eyes can be mastered in real time, so that the judgment of the supervisor on the working environment of dangerous operation is facilitated.
Secondly, the existing dangerous operation management system and operation flow are integrated to the fire-fighting Internet of things platform, and electronic and informatization management and control are achieved. The client (PC, PAD and mobile phone) of the fire-fighting Internet of things platform is used for realizing the on-line operation of the whole processes of application, approval, supervision, recording and the like of dangerous work.
Dangerous operation supervisors on the spot are all configured with handheld terminals, and the handheld terminals are communicated with the fire-fighting Internet of things platform in real time in a wireless mode (4G/5G/WIFI). The handheld terminal can perform functions of real-time video recording, photographing, character recording and the like on the operation condition of a site, and can display the nearby dangerous operation condition in a map form.
The management platform of the internet of things can display relevant information such as dangerous operation types, areas, personnel and time of enterprises on each platform terminal such as a large screen, a PC (personal computer) and a mobile phone in real time, and relevant personnel can obtain accurate dangerous operation information in real time through the platform terminals.
Compared with the traditional dangerous operation control method, the method has the advantages that: the fire hazard and the irregular operation which are possibly generated by dangerous operation are alarmed by adopting a mode of combining artificial intelligence and artificial judgment through a camera video picture, and the action of a parallel lock-related production process control system reduces the occurrence of disasters.
Meanwhile, compared with the traditional management, the electronic management of the dangerous work improves the efficiency and provides more management methods.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A dangerous work early warning method is characterized by comprising the following steps:
the method comprises the steps that image data of a dangerous operation site are collected through a camera module by utilizing a camera of a video monitoring system or a mobile wireless camera arranged on the camera of the dangerous operation site;
collecting relevant temperature and pressure data of a dangerous working environment through a data acquisition module; meanwhile, dangerous operation types, areas, personnel, time and other information are collected through a data collection module;
uploading the dangerous work management system and the operation flow to a background through a data uploading module; analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors by an analyzing and judging module based on the acquired image data, a dangerous operation management system and an operation flow;
judging whether the working environment of the dangerous work is safe or not by an environment judging module based on the acquired temperature, pressure or other environmental data of the dangerous work environment; when the interlocking linkage module analyzes and judges that unsafe factors exist or the working environment is unsafe, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan;
when the unsafe factors occur or the working environment is unsafe through analysis and judgment of the alarm module, the alarm module gives an alarm to the unsafe factors; and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or the terminal provided with the display equipment.
2. The hazardous operation early warning method according to claim 1, wherein the analysis and judgment of the fire hazard, the non-standard operation or other unsafe factors by the analysis and judgment module based on the collected image data and the hazardous operation management system and the operation flow comprises the following steps:
(1) acquiring preset standard scene image data with fire hazard, nonstandard operation or other unsafe factors; carrying out image feature extraction on the image data of each standard scene to obtain image feature data of each unsafe scene;
(2) acquiring acquired image data, judging scene types of the acquired image data, and extracting image characteristics of the acquired image data based on the corresponding scene types;
(3) comparing the extracted image characteristics of the collected image with the image characteristic data of each unsafe scene to obtain an image judgment result;
(4) acquiring a dangerous work management system and an operation flow, and comparing the dangerous work management system with the actual operation flow displayed by the image data to obtain a flow judgment result;
(5) and obtaining an analysis judgment result of the fire hazard, the nonstandard operation or other unsafe factors based on the image judgment result and the process judgment result.
3. The hazardous operation early warning method according to claim 2, wherein in the step (1), the image feature extraction of the image data of each standard scene comprises:
1) preprocessing a standardized scene image, and respectively extracting dense SIFT features and LBP features of the preprocessed processed image;
2) calculating dictionary matrixes required by extracting hierarchical sparse fusion features layer by utilizing an offline scene image set, and performing hierarchical sparse coding and fusion on a processed image by combining the dictionary matrixes to form local sparse fusion feature expression of the image;
3) performing SPM pooling on the local sparse fusion feature expression of the image to form a global sparse fusion feature expression of the image;
4) carrying out normalization processing on the global sparse fusion feature expression of the image; and performing approximate kernel transformation on the normalized global sparse fusion feature expression to obtain the image features of the scene image.
4. The hazardous operation early warning method according to claim 1, wherein the judging, by the environment judging module, whether the hazardous operation working environment is safe based on the collected temperature, pressure or other environmental data of the hazardous operation environment comprises:
firstly, acquiring temperature, pressure or other environmental data of a dangerous operation environment, and carrying out classified statistics on the environmental data to obtain a corresponding environmental data table;
secondly, calling the corresponding normal environment data table based on the category of the environment data table; and comparing and analyzing the data in the environment data table with the data in the normal environment data table one by one, and judging whether abnormal environment data occur or not.
5. The hazardous operation early warning method of claim 4, wherein the data in the normal environment data table is a normal environment data range value obtained after the previous normal environment data at the same time is subjected to big data analysis processing.
6. The hazardous operation early warning method according to claim 1, wherein the interlocking linkage comprises: closing the relevant valve and cutting off the power supply of the relevant part.
7. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the method comprises the steps that image data of a dangerous operation site are collected through a camera module by utilizing a camera of a video monitoring system or a mobile wireless camera arranged on the camera of the dangerous operation site;
collecting relevant temperature and pressure data of a dangerous working environment through a data acquisition module; meanwhile, dangerous operation types, areas, personnel, time and other information are collected through a data collection module;
uploading the dangerous work management system and the operation flow to a background through a data uploading module; analyzing and judging the fire hazard, the nonstandard operation or other unsafe factors by an analyzing and judging module based on the acquired image data, a dangerous operation management system and an operation flow;
judging whether the working environment of the dangerous work is safe or not by an environment judging module based on the acquired temperature, pressure or other environmental data of the dangerous work environment; when the interlocking linkage module analyzes and judges that unsafe factors exist or the working environment is unsafe, interlocking linkage is carried out based on a preset self-sending emergency interlocking plan;
when the unsafe factors occur or the working environment is unsafe through analysis and judgment of the alarm module, the alarm module gives an alarm to the unsafe factors; and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or the terminal provided with the display equipment.
8. An information data processing terminal, characterized in that the information data processing terminal is used for realizing the dangerous work early warning method of any one of claims 1 to 6.
9. A fire-fighting Internet of things technology-based dangerous operation early warning system for implementing the dangerous operation early warning method according to any one of claims 1 to 6, wherein the fire-fighting Internet of things technology-based dangerous operation early warning system comprises:
the camera module is used for acquiring image data of the dangerous operation site by utilizing a camera picture of a video monitoring system or a mobile wireless camera arranged on the dangerous operation site;
the data acquisition module is used for acquiring relevant temperature and pressure data of the dangerous work environment; meanwhile, the system is used for collecting dangerous operation types, areas, personnel, time and other information;
the data uploading module is used for uploading the dangerous work management system and the operation flow to a background;
the analysis and judgment module is used for analyzing and judging fire hazard, nonstandard operation or other unsafe factors based on the acquired image data, a dangerous operation management system and an operation flow;
the environment judgment module is used for judging whether the dangerous work environment is safe or not based on the acquired temperature, pressure or other environment data of the dangerous work environment;
the interlocking linkage module is used for carrying out interlocking linkage based on a preset self-sending emergency interlocking plan when analyzing and judging that unsafe factors exist;
the communication module is used for carrying out data transmission and communication in a wireless mode;
the alarm module is used for giving an alarm to the unsafe factors when the unsafe factors are analyzed and judged;
and the display module is used for displaying relevant environmental data, dangerous operation types, areas, personnel, time and other information by using the display equipment or a terminal provided with the display equipment.
10. The fire-fighting internet of things technology-based dangerous work early warning system according to claim 9, further comprising:
a handheld terminal and a client;
the handheld terminal is used for carrying out real-time video recording, photographing and character recording on the operation condition of a site and displaying the nearby dangerous operation condition in a map form;
and the client is used for carrying out online processing on the application, approval, supervision, record and other processes of dangerous work.
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