CN111586372B - Boiler flame high-temperature intelligent industrial television system with self-warning function - Google Patents
Boiler flame high-temperature intelligent industrial television system with self-warning function Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a boiler flame high-temperature intelligent industrial television system with a self-warning function, which is used for solving the problems that the existing boiler flame high-temperature intelligent industrial television system cannot reasonably display information according to users and is low in intelligence; the system comprises a sensor module, a server, a display processing module, a display module, an identification module and a self-warning module; the method and the device have the advantages that the corresponding registered user is obtained by identifying the display information of the display module, the display processing value of the registered user is obtained by analyzing the registration information of the registered user, and the corresponding display character size is matched according to the display processing value, so that the flame information is displayed to the corresponding size, and the registered user can conveniently check the flame information; the method comprises the steps of collecting and analyzing information of a sensor module to obtain a replacement value of an endoscopic high-temperature camera and a high-temperature probe, analyzing and judging the replacement value to obtain a sensing replacement instruction, sending the sensing replacement instruction to a self-early warning module, and early warning through the self-early warning module.
Description
Technical Field
The invention relates to the technical field of industrial television systems, in particular to a boiler flame high-temperature intelligent industrial television system with a self-warning function.
Background
With the development and progress of the technology, the monitoring of the high-temperature boiler is continuously developed from the traditional manual monitoring mode to an automatic monitoring system. The high-temperature industrial television monitoring system is an increasingly widely applied application system for visually monitoring the internal structure and the working state of the high-temperature boiler, so that the operation and monitoring personnel of the high-temperature boiler can effectively master the heating and working states in the high-temperature furnace in real time and take corresponding measures in time for different conditions, thereby effectively saving energy, reducing pollution emission and improving the quality and safety production of high-temperature processed products. However, the existing industrial television system for the boiler cannot reasonably display information according to users, and is low in intelligence;
disclosure of Invention
The invention aims to provide a boiler flame high-temperature intelligent industrial television system with a self-warning function in order to solve the problems that the existing industrial television system for the boiler cannot reasonably display information according to users and has low intellectualization; the method and the device have the advantages that the corresponding registered user is obtained by identifying the display information of the display module, the display processing value of the registered user is obtained by analyzing the registration information of the registered user, and the corresponding display character size is matched according to the display processing value, so that the flame information is displayed to the corresponding size, and the registered user can conveniently check the flame information; the sensor module is subjected to information acquisition and analysis to obtain the replacement value of the endoscopic high-temperature camera and the high-temperature probe, the replacement value is analyzed and judged to obtain a sensing replacement instruction and the sensing replacement instruction is sent to the self-early warning module, and early warning is carried out through the self-early warning module.
The purpose of the invention can be realized by the following technical scheme: the boiler flame high-temperature intelligent industrial television system with the self-early warning function comprises a sensor module, a server, a display processing module, a display module, an identification module and a self-early warning module;
the sensor module is used for collecting flame information in the boiler and sending the flame information to the server; wherein the flame information comprises a temperature and an image of the flame;
the display processing module is used for acquiring flame information and displaying the flame information, and comprises the following specific processing steps:
the method comprises the following steps: when the temperature of the flame is within a preset range, generating an identification acquisition instruction and sending the identification acquisition instruction to an identification module;
step two: the identification module receives the identification acquisition instruction, acquires display information of the display module and sends the display information to the display processing module; the display information comprises an account number and a face picture;
step three: the display processing module receives the display information for processing, and the specific processing steps are as follows:
s31: when the received display information comprises an account number and a face picture, identifying the face picture; when the received display information only comprises an account number, the account number is identified;
s32: acquiring a registered user corresponding to the face picture or the account number by identifying the face picture or the account number, and acquiring registration information of the registered user;
s33: marking the registered user as Zj; j is 1, … …, n; calculating the time difference between the registration time of the registered user and the current time of the system to obtain the registration time length which is marked as TZj；
S34: acquiring the starting time and the ending time of a registered user in a login account of a display module, summing according to the starting time and the ending time to obtain single online time, summing all the single online time to obtain total login time, and marking the total login time as DZj；
S35: using formula XZj＝TZj×b1+DZjObtaining the display processing value X of the registered user by X b2Zj(ii) a Wherein b1 and b2 are both preset proportionality coefficients;
step four: when the display processing value of the registered user is smaller than or equal to the set threshold, directly sending the flame information into the display module for display;
step five: when the display processing value of the registered user is larger than the set threshold, calculating the display size value of the registered user, wherein the specific calculation steps are as follows:
s51: setting the myopia number of the registered user to EZj(ii) a The distance between the eyes of the registered user and the display module is GZj(ii) a When the received display information only has an account number, the distance between the eyes of the registered user and the display moduleIs half a meter;
s52: using the formula HDZj＝EZj×b3+GZjObtaining the display size value HD of the registered user by x b4+ZjWherein b3 and b4 are both preset proportionality coefficients; mu is an error correction factor, and the value of mu is 5.36;
s53: setting the display character size Ak, k is 1, … … and 10; displaying that the text size Ak corresponds to a value range (a)k-1，ak]Wherein a is0Value is zero, ak-1<ak；
S54: matching the display size value of the registered user with the value range of the display character size when the HD is usedZj∈(ak-1，ak](ii) a The size of the display characters of the registered user is Ak;
step six: the display processing module sends the size of the display characters and the flame information to the display module, and the display module receives the size of the display characters and the flame information and displays the temperature in the flame information in the display module according to the size corresponding to the size of the display characters;
step seven: when the temperature of the flame is not within a preset range, generating an identification acquisition instruction and a temperature abnormity instruction; sending the temperature abnormity instruction to a self-warning module, sending the identification acquisition instruction to an identification module, and executing the first step to the sixth step;
the self-early warning module is used for receiving the temperature abnormity instruction and the sensing replacement instruction and carrying out early warning.
Preferably, the sensor module comprises an endoscopic high-temperature camera, a high-temperature probe, a drive control unit and a cooling unit; the drive control unit is used for sending the endoscopic high-temperature camera and the high-temperature probe into the boiler or conveying the endoscopic high-temperature camera and the high-temperature probe out of the boiler; the cooling unit is used for cooling the endoscopic high-temperature camera and the high-temperature probe in an air cooling mode, the endoscopic high-temperature camera is used for collecting images of flames in the boiler, and the high-temperature probe is used for collecting the temperature of the flames in the boiler.
Preferably, the system also comprises a registration login module, wherein the registration login module is used for submitting registration information for registration through the intelligent terminal by a user, sending the successfully registered registration information to the server for storage, and marking the user as a registered user; the registration information comprises an account number, a mobile phone number, a face photo, eye myopia reading and enrollment time, and meanwhile the server marks the time when the registration information is received as the registration time of the registered user.
Preferably, the display module further comprises a statistic unit and a face acquisition unit;
the statistical unit is used for counting login starting time and login ending time of a login account of a registered user and sending the login starting time and the login ending time into the server through the display processing module;
the human face acquisition unit is used for acquiring a human face picture standing in front of the display module and analyzing the distance between eyes and the display module for the human face picture, and the specific analysis steps are as follows:
SS 1: carrying out eye feature recognition on the face picture to obtain an eye contour;
SS 2: acquiring a comparison outline of the face photo corresponding to the registered user and a comparison distance corresponding to the comparison outline;
SS 3: amplifying the outline of the eye by a plurality of times to form outline pixel grids, counting the number of the pixel grids of the transverse width of the outline pixel grids, and recording as H1;
SS 4: amplifying the contrast contour by a plurality of times to form contrast pixel grids, counting the number of the pixel grids of the lateral width of the contrast pixel grids, and recording as H2; setting the contrast spacing to be H3;
SS 5: when H1> H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3- [ (H1-H2) × H3]/H2+ lambda 1; wherein, the lambda 1 is a correction factor and takes a value of 0.11;
SS 6: when H1 is H2, the contrast distance is the distance G between the eye and the display module;
SS 7: when H1< H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3+ [ (H2-H1) × H3]/H2+ lambda 2; wherein, the lambda 2 is a correction factor and takes a value of 0.24.
Preferably, the system further comprises a data acquisition module and a data analysis module;
the data acquisition module is used for acquiring the sensing information of the sensor module and sending the sensor to the server for storage; the sensing information comprises the starting time, the exiting time and the acquisition times of the endoscopic high-temperature camera and the high-temperature probe entering the boiler;
the data analysis module is used for acquiring and analyzing the sensing information in the server, and the specific analysis steps are as follows:
v1: calculating the time difference between the starting time and the exiting time of the endoscopic high-temperature camera and the high-temperature probe entering the boiler to obtain single monitoring time length, and summing all the single monitoring time lengths to obtain the total monitoring time length W1;
v2: marking the number of times of collection as W2;
v3: obtaining a replacement value W of the endoscopic high-temperature camera and the high-temperature probe by using a formula W of W1 × b5+ W2 × b 6; wherein b5 and b6 are both preset proportionality coefficients;
v4: and when W is larger than the set threshold, generating a sensing replacement instruction, and sending the sensing replacement instruction to the self-warning module by the data analysis module.
Preferably, the process of performing early warning by the self-warning module is as follows: when the self-early warning module receives the temperature abnormal instruction, the alarm is controlled to perform sound and light alarm, and meanwhile, the temperature abnormal instruction is sent to a preset intelligent terminal; when the self-warning module receives a sensing replacing instruction, the sensing replacing instruction is sent to a preset intelligent terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. the sensor module collects flame information in a boiler and sends the flame information to a server, the display processing module is used for obtaining the flame information and displaying the flame information, when the temperature of flame is in a preset range, an identification obtaining instruction is generated and sent to the identification module, and the identification module receives the identification obtaining instruction, collects display information of the display module and sends the display information to the display processing module; the display information comprises an account number and a face picture, the display processing module receives the display information to process the display information to obtain a display processing value of the registered user, and when the display processing value of the registered user is smaller than or equal to a set threshold value, the flame information is directly sent to the display module to be displayed; when the display processing value of the registered user is larger than the set threshold, calculating the display size value of the registered user, sending the display character size and the flame information to a display module by the display processing module, and displaying the temperature in the flame information in the display module in a size corresponding to the display character size after receiving the display character size and the flame information by the display module; the corresponding registered user is obtained by identifying the display information of the display module, the display processing value of the registered user is obtained by analyzing the registration information of the registered user, and the corresponding display character size is matched according to the display processing value, so that the flame information is displayed to the corresponding size better, and the registered user can check conveniently;
2. the data acquisition module acquires sensing information of the sensor module and sends the sensor to the server for storage; the data analysis module is used for acquiring and analyzing sensing information in the server, calculating the time difference between the starting time and the exiting time of the endoscopic high-temperature camera and the high-temperature probe entering the boiler to obtain single monitoring time length, summing all the single monitoring time lengths to obtain total monitoring time length, and acquiring the replacement values of the endoscopic high-temperature camera and the high-temperature probe by using a formula; when the replacement value is larger than the set threshold value, a sensing replacement instruction is generated, the data analysis module sends the sensing replacement instruction to the self-early warning module, and the self-early warning module is used for receiving the temperature abnormity instruction and the sensing replacement instruction and early warning; the early warning process comprises the following steps: when the self-early warning module receives the temperature abnormal instruction, the alarm is controlled to perform sound and light alarm, and meanwhile, the temperature abnormal instruction is sent to a preset intelligent terminal; when the self-warning module receives a sensing replacement instruction, the sensing replacement instruction is sent to a preset intelligent terminal; the sensor module is subjected to information acquisition and analysis to obtain the replacement value of the endoscopic high-temperature camera and the high-temperature probe, the replacement value is analyzed and judged to obtain a sensing replacement instruction and the sensing replacement instruction is sent to the self-early warning module, and early warning is carried out through the self-early warning module.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram 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.
Referring to fig. 1, the boiler flame high-temperature intelligent industrial television system with the self-warning function includes a sensor module, a server, a display processing module, a display module, an identification module, a self-warning module, a registration module, a data acquisition module and a data analysis module;
the sensor module is used for collecting flame information in the boiler and sending the flame information to the server; wherein the flame information comprises a temperature and an image of the flame;
the display processing module is used for acquiring flame information and displaying the flame information, and comprises the following specific processing steps:
the method comprises the following steps: when the temperature of the flame is within a preset range, generating an identification acquisition instruction and sending the identification acquisition instruction to an identification module;
step two: the identification module receives the identification acquisition instruction, acquires display information of the display module and sends the display information to the display processing module; the display information comprises an account number and a face picture;
step three: the display processing module receives the display information for processing, and the specific processing steps are as follows:
s31: when the received display information comprises an account number and a face picture, identifying the face picture; when the received display information only comprises an account number, the account number is identified;
s32: acquiring a registered user corresponding to the face picture or the account number by identifying the face picture or the account number, and acquiring registration information of the registered user;
s33: marking the registered user as Zj; j is 1, … …, n; calculating the time difference between the registration time of the registered user and the current time of the system to obtain the registration time length which is marked as TZj；
S34: acquiring the starting time and the ending time of a registered user in a login account of a display module, summing according to the starting time and the ending time to obtain single online time, summing all the single online time to obtain total login time, and marking the total login time as DZj；
S35: using formula XZj＝TZj×b1+DZjObtaining the display processing value X of the registered user by X b2Zj(ii) a Wherein b1 and b2 are both preset proportionality coefficients;
step four: when the display processing value of the registered user is smaller than or equal to the set threshold, directly sending the flame information into the display module for display;
step five: when the display processing value of the registered user is larger than the set threshold, calculating the display size value of the registered user, wherein the specific calculation steps are as follows:
s51: setting the myopia number of the registered user to EZj(ii) a The distance between the eyes of the registered user and the display module is GZj(ii) a When the received display information is only the account number, the distance between the eyes of the registered user and the display module is half a meter;
s52: using the formula HDZj＝EZj×b3+GZjObtaining the display size value HD of the registered user by x b4+ZjWherein b3 and b4 are both preset proportionality coefficients; mu is an error correction factor, and the value of mu is 5.36;
s53: setting the display character size Ak, k is 1, … … and 10; displaying that the text size Ak corresponds to a value range (a)k-1，ak]Wherein a is0Value is zero, ak-1<ak；
S54: matching the display size value of the registered user with the value range of the display character size when the HD is usedZj∈(ak-1，ak](ii) a The size of the display characters of the registered user is Ak;
step six: the display processing module sends the size of the display characters and the flame information to the display module, and the display module receives the size of the display characters and the flame information and displays the temperature in the flame information in the display module according to the size corresponding to the size of the display characters;
step seven: when the temperature of the flame is not within a preset range, generating an identification acquisition instruction and a temperature abnormity instruction; sending the temperature abnormity instruction to a self-warning module, sending the identification acquisition instruction to an identification module, and executing the first step to the sixth step;
the self-early warning module is used for receiving the temperature abnormity instruction and the sensing replacement instruction and early warning; the early warning process comprises the following steps: when the self-early warning module receives the temperature abnormal instruction, the alarm is controlled to perform sound and light alarm, and meanwhile, the temperature abnormal instruction is sent to a preset intelligent terminal; when the self-warning module receives a sensing replacement instruction, the sensing replacement instruction is sent to a preset intelligent terminal; the intelligent terminal comprises an intelligent mobile phone and a computer;
the sensor module comprises an endoscopic high-temperature camera, a high-temperature probe, a drive control unit and a cooling unit; the drive control unit is used for sending the endoscopic high-temperature camera and the high-temperature probe into the boiler or conveying the endoscopic high-temperature camera and the high-temperature probe out of the boiler; the cooling unit is used for cooling the endoscopic high-temperature camera and the high-temperature probe in an air cooling mode, the endoscopic high-temperature camera is used for collecting images of flames in the boiler, and the high-temperature probe is used for collecting the temperature of the flames in the boiler.
The registration login module is used for submitting registration information for registration through the intelligent terminal by a user, sending the registration information which is successfully registered to the server for storage, and marking the user as a registered user; the registration information comprises an account number, a mobile phone number, a face photo, eye myopia reading and enrollment time, and meanwhile the server marks the time when the registration information is received as the registration time of the registered user.
The display module also comprises a statistical unit and a human face acquisition unit;
the statistical unit is used for counting the login starting time and the login ending time of the login account of the registered user and sending the login starting time and the login ending time into the server through the display processing module;
the human face acquisition unit is used for acquiring a human face picture standing in front of the display module and analyzing the distance between eyes and the display module for the human face picture, and the specific analysis steps are as follows:
SS 1: carrying out eye feature recognition on the face picture to obtain an eye contour;
SS 2: acquiring a comparison outline of the face photo corresponding to the registered user and a comparison distance corresponding to the comparison outline;
SS 3: amplifying the outline of the eye by a plurality of times to form outline pixel grids, counting the number of the pixel grids of the transverse width of the outline pixel grids, and recording as H1;
SS 4: amplifying the contrast contour by a plurality of times to form contrast pixel grids, counting the number of the pixel grids of the lateral width of the contrast pixel grids, and recording as H2; setting the contrast spacing to be H3;
SS 5: when H1> H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3- [ (H1-H2) × H3]/H2+ lambda 1; wherein, the lambda 1 is a correction factor and takes a value of 0.11;
SS 6: when H1 is H2, the contrast distance is the distance G between the eye and the display module;
SS 7: when H1< H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3+ [ (H2-H1) × H3]/H2+ lambda 2; wherein, the lambda 2 is a correction factor and takes a value of 0.24.
The data acquisition module is used for acquiring the sensing information of the sensor module and sending the sensor to the server for storage; the sensing information comprises the starting time, the exiting time and the acquisition times of the endoscopic high-temperature camera and the high-temperature probe entering the boiler;
the data analysis module is used for acquiring and analyzing the sensing information in the server, and the specific analysis steps are as follows:
v1: calculating the time difference between the starting time and the exiting time of the endoscopic high-temperature camera and the high-temperature probe entering the boiler to obtain single monitoring time length, and summing all the single monitoring time lengths to obtain the total monitoring time length W1;
v2: marking the number of times of collection as W2;
v3: obtaining a replacement value W of the endoscopic high-temperature camera and the high-temperature probe by using a formula W of W1 × b5+ W2 × b 6; wherein b5 and b6 are both preset proportionality coefficients;
v4: when W is larger than a set threshold value, a sensing replacement instruction is generated, and the data analysis module sends the sensing replacement instruction to the self-warning module;
the display module is a liquid crystal touch display; after dequantization, the numerical values are substituted into a formula for calculation, and no unit is involved;
when the boiler flame temperature detection device is used, the sensor module collects flame information in a boiler and sends the flame information to the server, the display processing module is used for acquiring the flame information and displaying the flame information, when the temperature of flame is within a preset range, an identification acquisition instruction is generated and sent to the identification module, and the identification module receives the identification acquisition instruction, collects display information of the display module and sends the display information to the display processing module; the display information comprises an account number and a face picture, the display processing module receives the display information to process the display information to obtain a display processing value of the registered user, and when the display processing value of the registered user is smaller than or equal to a set threshold value, the flame information is directly sent to the display module to be displayed; when the display processing value of the registered user is larger than the set threshold, calculating the display size value of the registered user, sending the display character size and the flame information to a display module by the display processing module, and displaying the temperature in the flame information in the display module in a size corresponding to the display character size after receiving the display character size and the flame information by the display module; the corresponding registered user is obtained by identifying the display information of the display module, the display processing value of the registered user is obtained by analyzing the registration information of the registered user, and the corresponding display character size is matched according to the display processing value, so that the flame information is displayed to the corresponding size better, and the registered user can check conveniently;
the data acquisition module is used for acquiring the sensing information of the sensor module and sending the sensor to the server for storage; the data analysis module is used for acquiring and analyzing sensing information in the server, calculating the time difference between the starting time and the exiting time of the endoscopic high-temperature camera and the high-temperature probe entering the boiler to obtain single monitoring time length, summing all the single monitoring time lengths to obtain total monitoring time length, and acquiring a replacement value W of the endoscopic high-temperature camera and the high-temperature probe by using a formula W (W1 x b5+ W2 x b 6); when W is larger than a set threshold value, a sensing replacement instruction is generated, the data analysis module sends the sensing replacement instruction to the self-early warning module, and the self-early warning module is used for receiving the temperature abnormity instruction and the sensing replacement instruction and carrying out early warning; the early warning process comprises the following steps: when the self-early warning module receives the temperature abnormal instruction, the alarm is controlled to perform sound and light alarm, and meanwhile, the temperature abnormal instruction is sent to a preset intelligent terminal; when the self-warning module receives a sensing replacement instruction, the sensing replacement instruction is sent to a preset intelligent terminal; the sensor module is subjected to information acquisition and analysis to obtain the replacement value of the endoscopic high-temperature camera and the high-temperature probe, the replacement value is analyzed and judged to obtain a sensing replacement instruction and the sensing replacement instruction is sent to the self-early warning module, and early warning is carried out through the self-early warning module.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The intelligent industrial television system with the self-early warning function for the high temperature of the flame of the boiler is characterized by comprising a sensor module, a server, a display processing module, a display module, an identification module and a self-early warning module;
the sensor module is used for collecting flame information in the boiler and sending the flame information to the server; wherein the flame information comprises a temperature and an image of the flame;
the display processing module is used for acquiring flame information and displaying the flame information, and comprises the following specific processing steps:
the method comprises the following steps: when the temperature of the flame is within a preset range, generating an identification acquisition instruction and sending the identification acquisition instruction to an identification module;
step two: the identification module receives the identification acquisition instruction, acquires display information of the display module and sends the display information to the display processing module; the display information comprises an account number and a face picture;
step three: the display processing module receives the display information for processing, and the specific processing steps are as follows:
s31: when the received display information comprises an account number and a face picture, identifying the face picture; when the received display information only comprises an account number, the account number is identified;
s32: acquiring a registered user corresponding to the face picture or the account number by identifying the face picture or the account number, and acquiring registration information of the registered user;
s33: marking the registered user as Zj; j is 1, … …, n; calculating the time difference between the registration time of the registered user and the current time of the system to obtain the registration time length which is marked as TZj；
S34: acquiring the starting time and the ending time of a registered user in a login account of a display module, summing according to the starting time and the ending time to obtain single online time, summing all the single online time to obtain total login time, and marking the total login time as DZj；
S35: using formula XZj＝TZj×b1+DZjObtaining the display processing value X of the registered user by X b2Zj(ii) a Wherein b1 and b2 are both in a preset proportion systemCounting;
step four: when the display processing value of the registered user is smaller than or equal to the set threshold, directly sending the flame information into the display module for display;
step five: when the display processing value of the registered user is larger than the set threshold, calculating the display size value of the registered user, wherein the specific calculation steps are as follows:
s51: setting the myopia number of the registered user to EZj(ii) a The distance between the eyes of the registered user and the display module is GZj(ii) a When the received display information is only the account number, the distance between the eyes of the registered user and the display module is half a meter;
s52: using the formula HDZj＝EZj×b3+GZjObtaining the display size value HD of the registered user by x b4+ZjWherein b3 and b4 are both preset proportionality coefficients; mu is an error correction factor, and the value of mu is 5.36;
s53: setting the display character size Ak, k is 1, … … and 10; displaying that the text size Ak corresponds to a value range (a)k-1，ak]Wherein a is0Value is zero, ak-1<ak；
S54: matching the display size value of the registered user with the value range of the display character size when the HD is usedZj∈(ak-1，ak](ii) a The size of the display characters of the registered user is Ak;
step six: the display processing module sends the size of the display characters and the flame information to the display module, and the display module receives the size of the display characters and the flame information and displays the temperature in the flame information in the display module according to the size corresponding to the size of the display characters;
step seven: when the temperature of the flame is not within a preset range, generating an identification acquisition instruction and a temperature abnormity instruction; sending the temperature abnormity instruction to a self-warning module, sending the identification acquisition instruction to an identification module, and executing the first step to the sixth step;
the self-early warning module is used for receiving a temperature abnormity instruction and a sensing replacement instruction and early warning;
the system also comprises a data acquisition module and a data analysis module;
the data acquisition module is used for acquiring the sensing information of the sensor module and sending the sensor to the server for storage; the sensing information comprises the starting time, the exiting time and the acquisition times of the endoscopic high-temperature camera and the high-temperature probe entering the boiler;
the data analysis module is used for acquiring and analyzing the sensing information in the server, and the specific analysis steps are as follows:
v1: calculating the time difference between the starting time and the exiting time of the endoscopic high-temperature camera and the high-temperature probe entering the boiler to obtain single monitoring time length, and summing all the single monitoring time lengths to obtain the total monitoring time length W1;
v2: marking the number of times of collection as W2;
v3: obtaining a replacement value W of the endoscopic high-temperature camera and the high-temperature probe by using a formula W of W1 × b5+ W2 × b 6; wherein b5 and b6 are both preset proportionality coefficients;
v4: and when W is larger than the set threshold, generating a sensing replacement instruction, and sending the sensing replacement instruction to the self-warning module by the data analysis module.
2. The boiler flame high temperature intelligent industrial television system with self-warning function according to claim 1, wherein the sensor module comprises an endoscopic high temperature camera, a high temperature probe, a drive control unit and a cooling unit; the drive control unit is used for sending the endoscopic high-temperature camera and the high-temperature probe into the boiler or conveying the endoscopic high-temperature camera and the high-temperature probe out of the boiler; the cooling unit is used for cooling the endoscopic high-temperature camera and the high-temperature probe in an air cooling mode, the endoscopic high-temperature camera is used for collecting images of flames in the boiler, and the high-temperature probe is used for collecting the temperature of the flames in the boiler.
3. The boiler flame high-temperature intelligent industrial television system with the self-warning function as claimed in claim 1, further comprising a registration login module, wherein the registration login module is used for submitting registration information for registration through an intelligent terminal by a user, sending the registration information of successful registration to a server for storage, and marking the user as a registered user; the registration information comprises an account number, a mobile phone number, a face photo, eye myopia reading and enrollment time, and meanwhile the server marks the time when the registration information is received as the registration time of the registered user.
4. The boiler flame high-temperature intelligent industrial television system with the self-warning function as claimed in claim 1, wherein the display module further comprises a statistical unit and a human face acquisition unit;
the statistical unit is used for counting login starting time and login ending time of a login account of a registered user and sending the login starting time and the login ending time into the server through the display processing module;
the human face acquisition unit is used for acquiring a human face picture standing in front of the display module and analyzing the distance between eyes and the display module for the human face picture, and the specific analysis steps are as follows:
SS 1: carrying out eye feature recognition on the face picture to obtain an eye contour;
SS 2: acquiring a comparison outline of the face photo corresponding to the registered user and a comparison distance corresponding to the comparison outline;
SS 3: amplifying the outline of the eye by a plurality of times to form outline pixel grids, counting the number of the pixel grids of the transverse width of the outline pixel grids, and recording as H1;
SS 4: amplifying the contrast contour by a plurality of times to form contrast pixel grids, counting the number of the pixel grids of the lateral width of the contrast pixel grids, and recording as H2; setting the contrast spacing to be H3;
SS 5: when H1> H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3- [ (H1-H2) × H3]/H2+ lambda 1; wherein, the lambda 1 is a correction factor and takes a value of 0.11;
SS 6: when H1 is H2, the contrast distance is the distance G between the eye and the display module;
SS 7: when H1< H2, obtaining the distance G between the eyes and the display module by using a formula G ═ H3+ [ (H2-H1) × H3]/H2+ lambda 2; wherein, the lambda 2 is a correction factor and takes a value of 0.24.
5. The boiler flame high-temperature intelligent industrial television system with the self-warning function as claimed in claim 1, wherein the self-warning module performs the warning process by: when the self-early warning module receives the temperature abnormal instruction, the alarm is controlled to perform sound and light alarm, and meanwhile, the temperature abnormal instruction is sent to a preset intelligent terminal; when the self-warning module receives a sensing replacing instruction, the sensing replacing instruction is sent to a preset intelligent terminal.
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