CN117253335A - Intelligent monitoring and early warning system for fuel system - Google Patents
Intelligent monitoring and early warning system for fuel system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 47
- 239000000446 fuel Substances 0.000 title claims abstract description 18
- 239000003245 coal Substances 0.000 claims abstract description 208
- 238000011156 evaluation Methods 0.000 claims description 95
- 230000007613 environmental effect Effects 0.000 claims description 44
- 238000000034 method Methods 0.000 claims description 31
- 238000004458 analytical method Methods 0.000 claims description 17
- 239000007789 gas Substances 0.000 claims description 17
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 15
- 239000000428 dust Substances 0.000 claims description 15
- 239000001301 oxygen Substances 0.000 claims description 15
- 229910052760 oxygen Inorganic materials 0.000 claims description 15
- 239000000779 smoke Substances 0.000 claims description 15
- 230000006399 behavior Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000010586 diagram Methods 0.000 claims description 10
- 230000000903 blocking effect Effects 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 description 10
- 238000011161 development Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
- G08B21/16—Combustible gas alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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Abstract
The invention discloses an intelligent monitoring and early warning system of a fuel system, which relates to the technical field of intelligent monitoring and comprises a coal conveyor monitoring module, an environment area monitoring module, a fixed point monitoring module, a personnel safety protection module, an early warning terminal and a database.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to an intelligent monitoring and early warning system of a fuel system.
Background
The thermal power plant is a core place for energy conversion, coal is converted into electric energy through power generation equipment, and stable and reliable electric power supply is provided for society. Electric power is an indispensable infrastructure for operation in modern society, meanwhile, electric power is an important support for economic growth, and construction and operation of a thermal power plant are important for economic development of countries and regions. The stability and reliability of the power supply directly influence the sustainability and efficiency of industrial production, and meanwhile, the development of the fields of business, service, agriculture and the like is related, and the construction and operation of the thermal power plant can provide employment opportunities, can drive the development of related industries and promote economic growth, so that the guarantee of the normal operation of the thermal power plant is of great importance. Thermal power generation relies on stable operation of a coal supply and coal conveying system, but monitoring of the coal supply and coal conveying system in the current thermal power plant is mainly carried out by manual inspection, so that a large amount of manpower resources are needed, the current manual inspection mode needs to be updated rapidly due to the increasing of dangers and electricity consumption of the thermal power plant, and once a coal supply chain is in a problem, serious consequences such as power failure can be caused. In addition, potential safety hazards such as fire and explosion can exist in the combustion process, so that strict safety measures and monitoring means are required to be adopted in order to ensure the normal operation of the thermal power plant.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide an intelligent monitoring and early warning system for a fuel system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an intelligent monitoring and early warning system of a fuel system, which comprises:
the coal conveyor monitoring module is used for distributing each acquisition point on the coal conveyor in the thermal power plant, acquiring the temperature of each corresponding acquisition point on the coal conveyor in the thermal power plant, judging whether the temperature of the coal conveyor in the thermal power plant is ultrahigh, and sending a signal to the early warning terminal if the temperature of the coal conveyor in the thermal power plant is ultrahigh;
the environment area monitoring module is used for distributing each acquisition time point in the thermal power plant according to a preset time interval, further acquiring environment information corresponding to each acquisition time point, wherein the environment information comprises environment temperature, environment humidity, air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration, analyzing to obtain corresponding environment information evaluation coefficients in the thermal power plant, judging whether the environment in the thermal power plant is in a dangerous state, and sending a signal to the early warning terminal if the environment in the thermal power plant is in the dangerous state;
the fixed point monitoring module is used for collecting the coal flow and the coal flow pressure corresponding to the coal conveying pipes at all collecting time points through the cameras according to the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the blocking evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the operation state evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant through the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, judging whether the operation state of the coal conveying pipes corresponding to all collecting time points in the thermal power plant is healthy or not, and sending a signal to the early warning terminal if the operation state of the coal conveying pipes corresponding to a certain collecting time point in the thermal power plant is unhealthy;
the personnel safety protection module is used for acquiring images of all the workers corresponding to all the acquisition time points in the thermal power plant through the camera, judging whether all the workers corresponding to all the acquisition time points in the thermal power plant have dangerous behaviors, and sending a signal to the early warning terminal if a certain worker has dangerous behaviors at a certain acquisition time point in the thermal power plant;
the early warning terminal is used for carrying out early warning prompt when the temperature of the coal conveyor in the thermal power plant is ultrahigh, the environment in the thermal power plant is in a dangerous state, the running state of the coal conveyor corresponding to a certain collection time point in the thermal power plant is unhealthy or a certain working person has dangerous behaviors at the certain collection time point in the thermal power plant.
And the database is used for storing the temperature threshold value, the environment information evaluation coefficient threshold value, the running state evaluation coefficient threshold value, the safety protection equipment image and the safety distance.
Preferably, the specific judging process is as follows: comparing the temperature of each corresponding collecting point on the coal conveyor in the thermal power plant with the temperature threshold value stored in the database, if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is greater than or equal to the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is ultrahigh, and if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is less than the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is not ultrahigh.
Preferably, the specific judging process is as follows:
according to the corresponding air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration in the thermal power plant, analyzing to obtain air environment assessment coefficients corresponding to all acquisition time points in the thermal power plant;
by calculation formulaCalculating to obtain corresponding environmental information evaluation coefficients in the thermal power plant, wherein ζ is the corresponding environmental information evaluation coefficient in the thermal power plant, at i The environmental temperature corresponding to the i-th acquisition time point in the thermal power plant is i, i is the number corresponding to each acquisition time point, i=1, 2 i For the environmental humidity corresponding to the ith acquisition time point in the thermal power plant, at 'is a set environmental temperature reference value, ah' is a set environmental humidity reference value, ζ2 i Corresponding to the ith acquisition time point in the thermal power plantThe air environment evaluation coefficient, ζ2' is the set reference air environment evaluation coefficient, σ 1 、σ 2 、σ 2 Respectively corresponding weight factors of the environmental temperature, the environmental humidity and the air environment evaluation coefficient;
comparing the corresponding environmental information evaluation coefficient in the thermal power plant with the environmental information evaluation coefficient threshold stored in the database, if the corresponding environmental information evaluation coefficient in the thermal power plant is larger than or equal to the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a normal state, and if the corresponding environmental information evaluation coefficient in the thermal power plant is smaller than the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a dangerous state.
Preferably, the analysis obtains the air environment evaluation coefficients corresponding to each acquisition time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain air environment evaluation coefficients corresponding to all acquisition time points in the thermal power plant, wherein ζ2 i For the air environment evaluation coefficient corresponding to the ith acquisition time point in the thermal power plant, ac i Is the oxygen content concentration, tc, of air corresponding to the ith acquisition time point in the thermal power plant i The concentration Dc of the combustible gas corresponding to the ith acquisition time point in the thermal power plant i The dust concentration corresponding to the ith collection time point in the thermal power plant is Sc i For the smoke concentration corresponding to the ith acquisition time point in the thermal power plant, ac 'is a set air oxygen concentration reference value, tc' is a set combustible gas concentration reference value, dc 'is a set dust concentration reference value, sc' is a set smoke concentration reference value, omega 1 、ω 2 、ω 3 、ω 4 Respectively set weight factors corresponding to the oxygen content concentration of the air, the concentration of the combustible gas, the dust concentration and the smoke concentration.
Preferably, the analysis obtains the corresponding blockage evaluation coefficients of the coal dropping pipe at each collection time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain corresponding blockage evaluation coefficients of coal dropping pipes at each acquisition time point in the thermal power plant, wherein beta is i The method comprises the steps that (1) the blocking evaluation coefficient corresponding to a coal dropping pipe at an ith collecting time point in a thermal power plant is obtained, i is a number corresponding to each collecting time point, and i=1, 2 i Is the coal flow rate corresponding to the ith acquisition time point in the thermal power plant, P i The coal flow pressure corresponding to the ith acquisition time point in the thermal power plant is Cf 'is a set coal flow reference value, P' is a set coal flow pressure reference value, alpha 1 、α 2 Respectively set weight factors corresponding to the coal flow rate and the coal flow pressure.
Preferably, the analysis obtains the operation state evaluation coefficients corresponding to the coal conveyor at each collection time point in the thermal power plant, and the specific judgment process is as follows:
acquiring a coal conveyor belt operation image corresponding to each acquisition time point in the thermal power plant from a coal conveyor operation state diagram corresponding to each acquisition time point in the thermal power plant, and comparing the coal conveyor belt operation images corresponding to each acquisition time point in the thermal power plant according to the sequence of each acquisition time point to obtain a coal conveyor belt operation image overlapping area corresponding to each acquisition time point in the thermal power plant; acquiring the operation noise value of the coal conveyor corresponding to each acquisition time point from the sound sensor corresponding to the coal conveyor in the thermal power plant; electromagnetic pulse signals corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs are obtained from belt tearing detection equipment corresponding to the coal conveyor in the thermal power plant, and further electromagnetic pulse signal amplitude corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs is obtained through a waveform conversion circuit;
by calculation formulaCalculating to obtain the thermal power plantThe corresponding operation state evaluation coefficient of the coal conveyor at each acquisition time point, wherein delta i The method comprises the steps that an operation state evaluation coefficient corresponding to an ith collecting time point coal conveyor in a thermal power plant is obtained, i is a number corresponding to each collecting time point, i=1, 2 i 、Sp i+1 The overlapping areas of the belt running images of the coal conveyor corresponding to the ith acquisition time point and the (i+1) th acquisition time point in the thermal power plant are respectively, delta Sp is a set allowable deviation value of the overlapping areas of the belt running images, no i For the coal conveyor operation noise value corresponding to the ith acquisition time point in the thermal power plant, no' is a set allowed coal conveyor operation noise value, & lt+ & gt> Respectively the electromagnetic pulse signal amplitude, beta, corresponding to the ith acquisition time point, the (i+1) th acquisition time point and the (i+2) th acquisition time point of the coal conveyor belt in the thermal power plant when in operation i Is the blocking evaluation coefficient epsilon corresponding to the coal dropping pipe at the ith acquisition time point in the thermal power plant 1 、ε 2 、ε 3 The weight factors are respectively corresponding to the overlapping area of the belt running image, the running noise value of the coal conveyor and the amplitude of the electromagnetic pulse signal.
Preferably, the specific judging process is as follows: comparing the operation state evaluation coefficient corresponding to the coal conveyor at each acquisition time point in the thermal power plant with the operation state evaluation coefficient threshold stored in the database, if the operation state evaluation coefficient corresponding to the coal conveyor at a certain acquisition time point in the thermal power plant is smaller than the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is healthy, and if the operation state evaluation coefficient of the coal conveyor corresponding to the acquisition time point in the thermal power plant is larger than or equal to the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is unhealthy.
Preferably, the specific judging process is as follows:
extracting images of safety protection equipment of each worker corresponding to each collecting time point in the thermal power plant from images of each worker corresponding to each collecting time point in the thermal power plant, and judging whether the safety protection state of each worker corresponding to each collecting time point in the thermal power plant is insufficient or not;
extracting the distance between each worker in the thermal power plant and a coal conveyor belt in the thermal power plant from each worker image corresponding to each acquisition time point in the thermal power plant, obtaining the belt distance corresponding to each worker in each acquisition time point, comparing the belt distance corresponding to each worker in each acquisition time point with the safety distance stored in the database, judging that the worker in the thermal power plant is in the safety distance if the belt distance corresponding to each worker in each acquisition time point is greater than or equal to the safety distance stored in the database, and judging that the worker in the thermal power plant is in the dangerous distance if the belt distance corresponding to each worker in each acquisition time point is less than the safety distance stored in the database;
when the safety protection state of a certain worker corresponding to a certain collection time point in the thermal power plant is insufficient or is in a dangerous distance, judging whether dangerous behaviors exist on the workers corresponding to the collection time points in the thermal power plant, and judging whether dangerous behaviors exist on the workers corresponding to the collection time points in the thermal power plant in this way.
Preferably, the step of judging whether the safety protection state of each worker corresponding to each collection time point is insufficient comprises the following specific judgment process: comparing the safety equipment images of the workers corresponding to each acquisition time point in the thermal power plant with the safety equipment images stored in the database, and judging that the safety protection state of the workers corresponding to each acquisition time point is insufficient if the safety equipment images of the workers corresponding to the acquisition time point in the thermal power plant are inconsistent with the safety equipment images stored in the database, so that whether the safety protection state of the workers corresponding to each acquisition time point is insufficient is judged.
The invention has the beneficial effects that: the invention provides an intelligent monitoring and early warning system of a fuel system, which can realize the functions of instant, reliable and stable coal pipe blockage sensing, coal conveying belt tearing sensing, on-site environment temperature sensing and the like by carrying out real-time monitoring and analysis on a coal conveying machine and a coal conveying machine area, achieves continuous coal conveying belt inspection throughout the day, monitors hidden dangers such as coal pipe blockage, coal conveying belt tearing, coal conveying belt deviation and the like in real time, comprehensively improves the safety, reliability and timeliness of the coal conveying system, reduces the working intensity of on-site inspection personnel, ensures the life safety of on-site inspection personnel, improves the intrinsic safety level of a production site, improves the intelligent detection level of the coal conveying system, and simultaneously creates a bottom data condition and application foundation for the comprehensive intelligent whole coal conveying system of a thermal power plant.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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, the invention provides an intelligent monitoring and early warning system for a fuel system, which comprises a coal conveyor monitoring module, an environment area monitoring module, a fixed point monitoring module, a personnel safety protection module, an early warning terminal and a database.
The coal conveyor monitoring module is respectively connected with the environment area monitoring module, the database and the early warning terminal, the environment area monitoring module is respectively connected with the coal conveyor monitoring module, the fixed point monitoring module, the database and the early warning terminal, the fixed point monitoring module is respectively connected with the environment area monitoring module, the personnel safety protection module, the database and the early warning terminal, and the personnel safety protection module is respectively connected with the fixed point monitoring module, the database and the early warning terminal.
The coal conveyor monitoring module is used for distributing each acquisition point on the coal conveyor in the thermal power plant, acquiring the temperature of each corresponding acquisition point on the coal conveyor in the thermal power plant, judging whether the temperature of the coal conveyor in the thermal power plant is ultrahigh, and sending a signal to the early warning terminal if the temperature of the coal conveyor in the thermal power plant is ultrahigh;
the temperature of each collecting point on the coal conveyor in the thermal power plant is collected through the vehicle-mounted thermal infrared imager carried by the inspection robot.
As an alternative implementation manner, the specific judging process is as follows: comparing the temperature of each corresponding collecting point on the coal conveyor in the thermal power plant with the temperature threshold value stored in the database, if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is greater than or equal to the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is ultrahigh, and if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is less than the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is not ultrahigh.
The environment area monitoring module is used for distributing each acquisition time point in the thermal power plant according to a preset time interval, further acquiring environment information corresponding to each acquisition time point, wherein the environment information comprises environment temperature, environment humidity, air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration, analyzing to obtain corresponding environment information evaluation coefficients in the thermal power plant, judging whether the environment in the thermal power plant is in a dangerous state, and sending a signal to the early warning terminal if the environment in the thermal power plant is in the dangerous state;
the environmental information corresponding to each acquisition time point in the thermal power plant is acquired by a gas detector and a temperature and humidity sensor mounted on the inspection robot in the thermal power plant.
It is also noted that the combustible gas concentration includes, but is not limited to, hydrogen sulfide concentration, methane concentration, and the like.
As an alternative implementation manner, the specific judging process is as follows:
according to the corresponding air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration in the thermal power plant, analyzing to obtain air environment assessment coefficients corresponding to all acquisition time points in the thermal power plant;
by calculation formulaCalculating to obtain corresponding environmental information evaluation coefficients in the thermal power plant, wherein ζ is the corresponding environmental information evaluation coefficient in the thermal power plant, at i The environmental temperature corresponding to the i-th acquisition time point in the thermal power plant is i, i is the number corresponding to each acquisition time point, i=1, 2 i For the environmental humidity corresponding to the ith acquisition time point in the thermal power plant, at 'is a set environmental temperature reference value, ah' is a set environmental humidity reference value, ζ2 i For the air environment evaluation coefficient corresponding to the ith acquisition time point in the thermal power plant, ζ2' is the set reference air environment evaluation coefficient, σ 1 、σ 2 、σ 2 Respectively corresponding weight factors of the environmental temperature, the environmental humidity and the air environment evaluation coefficient;
comparing the corresponding environmental information evaluation coefficient in the thermal power plant with the environmental information evaluation coefficient threshold stored in the database, if the corresponding environmental information evaluation coefficient in the thermal power plant is larger than or equal to the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a normal state, and if the corresponding environmental information evaluation coefficient in the thermal power plant is smaller than the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a dangerous state.
As an alternative implementation manner, the analysis obtains the air environment evaluation coefficient corresponding to each collection time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain air environment evaluation coefficients corresponding to all acquisition time points in the thermal power plant, wherein ζ2 i For the air environment evaluation coefficient corresponding to the ith acquisition time point in the thermal power plant, ac i Is the oxygen content concentration, tc, of air corresponding to the ith acquisition time point in the thermal power plant i The concentration Dc of the combustible gas corresponding to the ith acquisition time point in the thermal power plant i The dust concentration corresponding to the ith collection time point in the thermal power plant is Sc i For the smoke concentration corresponding to the ith acquisition time point in the thermal power plant, ac 'is a set air oxygen concentration reference value, tc' is a set combustible gas concentration reference value, dc 'is a set dust concentration reference value, sc' is a set smoke concentration reference value, omega 1 、ω 2 、ω 3 、ω 4 Respectively set weight factors corresponding to the oxygen content concentration of the air, the concentration of the combustible gas, the dust concentration and the smoke concentration.
The fixed point monitoring module is used for collecting the coal flow and the coal flow pressure corresponding to the coal conveying pipes at all collecting time points through the cameras according to the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the blocking evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the operation state evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant through the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, judging whether the operation state of the coal conveying pipes corresponding to all collecting time points in the thermal power plant is healthy or not, and sending a signal to the early warning terminal if the operation state of the coal conveying pipes corresponding to a certain collecting time point in the thermal power plant is unhealthy;
the coal flow and the coal flow pressure corresponding to the coal dropping pipe at each acquisition time point are obtained through the flow sensor and the pressure sensor corresponding to the coal dropping pipe in the thermal power plant.
As an alternative implementation manner, the analysis obtains the corresponding blockage evaluation coefficient of the coal dropping pipe at each collection time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain corresponding blockage evaluation coefficients of coal dropping pipes at each acquisition time point in the thermal power plant, wherein beta is i The method comprises the steps that (1) the blocking evaluation coefficient corresponding to a coal dropping pipe at an ith collecting time point in a thermal power plant is obtained, i is a number corresponding to each collecting time point, and i=1, 2 i Is the coal flow rate corresponding to the ith acquisition time point in the thermal power plant, P i The coal flow pressure corresponding to the ith acquisition time point in the thermal power plant is Cf 'is a set coal flow reference value, P' is a set coal flow pressure reference value, alpha 1 、α 2 Respectively set weight factors corresponding to the coal flow rate and the coal flow pressure.
The larger the coal flow rate and the smaller the coal flow pressure, the smaller the clogging evaluation coefficient.
As an optional implementation manner, the analysis obtains the operation state evaluation coefficients corresponding to the coal conveyor at each collection time point in the thermal power plant, and the specific judgment process is as follows:
acquiring a coal conveyor belt operation image corresponding to each acquisition time point in the thermal power plant from a coal conveyor operation state diagram corresponding to each acquisition time point in the thermal power plant, and comparing the coal conveyor belt operation images corresponding to each acquisition time point in the thermal power plant according to the sequence of each acquisition time point to obtain a coal conveyor belt operation image overlapping area corresponding to each acquisition time point in the thermal power plant; acquiring the operation noise value of the coal conveyor corresponding to each acquisition time point from the sound sensor corresponding to the coal conveyor in the thermal power plant; electromagnetic pulse signals corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs are obtained from belt tearing detection equipment corresponding to the coal conveyor in the thermal power plant, and further electromagnetic pulse signal amplitude corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs is obtained through a waveform conversion circuit;
by calculation formulaCalculating to obtain the corresponding operation state evaluation coefficients of the coal conveyor at each acquisition time point in the thermal power plant, wherein delta i The method comprises the steps that an operation state evaluation coefficient corresponding to an ith collecting time point coal conveyor in a thermal power plant is obtained, i is a number corresponding to each collecting time point, i=1, 2 i 、Sp i+1 The overlapping areas of the belt running images of the coal conveyor corresponding to the ith acquisition time point and the (i+1) th acquisition time point in the thermal power plant are respectively, delta Sp is a set allowable deviation value of the overlapping areas of the belt running images, no i For the coal conveyor operation noise value corresponding to the ith acquisition time point in the thermal power plant, no' is a set allowed coal conveyor operation noise value, & lt+ & gt> Respectively the electromagnetic pulse signal amplitude, beta, corresponding to the ith acquisition time point, the (i+1) th acquisition time point and the (i+2) th acquisition time point of the coal conveyor belt in the thermal power plant when in operation i Is the blocking evaluation coefficient epsilon corresponding to the coal dropping pipe at the ith acquisition time point in the thermal power plant 1 、ε 2 、ε 3 The belt running images overlap area and the coal conveyor running noise valueAnd a weight factor corresponding to the electromagnetic pulse signal amplitude.
As an optional implementation manner, the specific judging process is as follows: comparing the operation state evaluation coefficient corresponding to the coal conveyor at each acquisition time point in the thermal power plant with the operation state evaluation coefficient threshold stored in the database, if the operation state evaluation coefficient corresponding to the coal conveyor at a certain acquisition time point in the thermal power plant is smaller than the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is healthy, and if the operation state evaluation coefficient of the coal conveyor corresponding to the acquisition time point in the thermal power plant is larger than or equal to the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is unhealthy.
The personnel safety protection module is used for acquiring images of all the workers corresponding to all the acquisition time points in the thermal power plant through the camera, judging whether all the workers corresponding to all the acquisition time points in the thermal power plant have dangerous behaviors, and sending a signal to the early warning terminal if a certain worker has dangerous behaviors at a certain acquisition time point in the thermal power plant;
as an optional implementation manner, the specific judging process is as follows:
extracting each worker safety protection equipment image corresponding to each collection time point in the thermal power plant from each worker image corresponding to each collection time point in the thermal power plant, comparing each worker safety protection equipment image corresponding to each collection time point in the thermal power plant with the safety protection equipment images stored in the database, and if the safety protection equipment image of a certain worker corresponding to a certain collection time point in the thermal power plant is inconsistent with the safety protection equipment images stored in the database, judging that the worker corresponding to the collection time point does not wear the safety protection equipment.
As an optional implementation manner, the specific judging process is as follows, where the judging process is that whether each worker corresponding to each collecting time point in the thermal power plant is too close to the belt distance of the coal conveyor or not:
extracting the distance between each worker in the thermal power plant and a coal conveyor belt in the thermal power plant from each worker image corresponding to each collection time point in the thermal power plant, obtaining the belt distance corresponding to each worker in each collection time point, comparing the belt distance corresponding to each worker in each collection time point with the safety distance stored in the database, judging that the worker is not too close to the belt in the thermal power plant if the belt distance corresponding to each worker in each collection time point is greater than or equal to the safety distance stored in the database, and judging that the worker is too close to the belt in the thermal power plant if the belt distance corresponding to each worker in each collection time point is less than the safety distance stored in the database.
And the database is used for storing the temperature threshold value, the environment information evaluation coefficient threshold value, the running state evaluation coefficient threshold value, the safety protection equipment image and the safety distance.
The early warning terminal is used for carrying out early warning prompt when the temperature of the coal conveyor in the thermal power plant is ultrahigh, the environment in the thermal power plant is in a dangerous state, the running state of the coal conveyor corresponding to a certain collection time point in the thermal power plant is unhealthy or a certain working person has dangerous behaviors at the certain collection time point in the thermal power plant.
According to the embodiment of the invention, through real-time monitoring and analysis of the coal conveyor and the coal conveyor area, the functions of instant, reliable and stable coal dropping pipe blockage sensing, coal conveyor belt tearing sensing, on-site environment temperature sensing and the like can be realized, the hidden danger of uninterrupted coal conveyor belt inspection throughout the day, such as coal dropping pipe blockage, coal conveyor belt tearing, coal conveyor belt deviation and the like can be achieved, the safety, reliability and timeliness of a coal conveying system can be comprehensively improved, the working intensity of on-site inspection personnel can be reduced, the life safety of on-site inspection personnel can be ensured, the intrinsic safety level of a production site can be improved, the intelligent detection level of the coal conveying system can be improved, and meanwhile, the data condition and application foundation of a bottom layer can be created for the overall coal conveying system of a thermal power plant.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The utility model provides a fuel system intelligent monitoring early warning system which characterized in that includes:
the coal conveyor monitoring module is used for distributing each acquisition point on the coal conveyor in the thermal power plant, acquiring the temperature of each corresponding acquisition point on the coal conveyor in the thermal power plant, judging whether the temperature of the coal conveyor in the thermal power plant is ultrahigh, and sending a signal to the early warning terminal if the temperature of the coal conveyor in the thermal power plant is ultrahigh;
the environment area monitoring module is used for distributing each acquisition time point in the thermal power plant according to a preset time interval, further acquiring environment information corresponding to each acquisition time point, wherein the environment information comprises environment temperature, environment humidity, air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration, analyzing to obtain corresponding environment information evaluation coefficients in the thermal power plant, judging whether the environment in the thermal power plant is in a dangerous state, and sending a signal to the early warning terminal if the environment in the thermal power plant is in the dangerous state;
the fixed point monitoring module is used for collecting the coal flow and the coal flow pressure corresponding to the coal conveying pipes at all collecting time points through the cameras according to the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the blocking evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, analyzing to obtain the operation state evaluation coefficients corresponding to the coal conveying pipes at all collecting time points in the thermal power plant through the operation state diagrams corresponding to the coal conveying pipes at all collecting time points in the thermal power plant, judging whether the operation state of the coal conveying pipes corresponding to all collecting time points in the thermal power plant is healthy or not, and sending a signal to the early warning terminal if the operation state of the coal conveying pipes corresponding to a certain collecting time point in the thermal power plant is unhealthy;
the personnel safety protection module is used for acquiring images of all the workers corresponding to all the acquisition time points in the thermal power plant through the camera, judging whether all the workers corresponding to all the acquisition time points in the thermal power plant have dangerous behaviors, and sending a signal to the early warning terminal if a certain worker has dangerous behaviors at a certain acquisition time point in the thermal power plant;
the early warning terminal is used for carrying out early warning prompt when the temperature of the coal conveyor in the thermal power plant is ultrahigh, the environment in the thermal power plant is in a dangerous state, the running state of the coal conveyor corresponding to a certain collection time point in the thermal power plant is unhealthy or a certain working person has dangerous behaviors at the certain collection time point in the thermal power plant.
2. The intelligent monitoring and early warning system for the fuel system according to claim 1, wherein the specific judging process is as follows: comparing the temperature of each corresponding collecting point on the coal conveyor in the thermal power plant with the temperature threshold value stored in the database, if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is greater than or equal to the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is ultrahigh, and if the temperature of a certain collecting point on the coal conveyor in the thermal power plant is less than the temperature threshold value stored in the database, judging that the temperature of the coal conveyor in the thermal power plant is not ultrahigh.
3. The intelligent monitoring and early warning system for the fuel system according to claim 1, wherein the specific judging process is as follows:
according to the corresponding air oxygen content concentration, combustible gas concentration, dust concentration and smoke concentration in the thermal power plant, analyzing to obtain air environment assessment coefficients corresponding to all acquisition time points in the thermal power plant;
by calculation formulaCalculating to obtain corresponding environmental information evaluation coefficients in the thermal power plant, wherein ζ is the corresponding environmental information evaluation coefficient in the thermal power plant, at i The environmental temperature corresponding to the i-th acquisition time point in the thermal power plant is i, i is the number corresponding to each acquisition time point, i=1, 2 i For the environmental humidity corresponding to the ith acquisition time point in the thermal power plant, at 'is a set environmental temperature reference value, ah' is a set environmental humidity reference value, ζ2 i For the air environment evaluation coefficient corresponding to the ith acquisition time point in the thermal power plant, ζ2' is the set reference air environment evaluation coefficient, σ 1 、σ 2 、σ 2 Respectively corresponding weight factors of the environmental temperature, the environmental humidity and the air environment evaluation coefficient;
comparing the corresponding environmental information evaluation coefficient in the thermal power plant with the environmental information evaluation coefficient threshold stored in the database, if the corresponding environmental information evaluation coefficient in the thermal power plant is larger than or equal to the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a normal state, and if the corresponding environmental information evaluation coefficient in the thermal power plant is smaller than the environmental information evaluation coefficient threshold stored in the database, determining that the environment in the thermal power plant is in a dangerous state.
4. The intelligent monitoring and early warning system for the fuel system according to claim 3, wherein the analysis obtains the air environment evaluation coefficients corresponding to each acquisition time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain air environment evaluation coefficients corresponding to all acquisition time points in the thermal power plant, wherein ζ2 i Is the ith acquisition time point in the thermal power plantCorresponding air environment evaluation coefficient, ac i Is the oxygen content concentration, tc, of air corresponding to the ith acquisition time point in the thermal power plant i The concentration Dc of the combustible gas corresponding to the ith acquisition time point in the thermal power plant i The dust concentration corresponding to the ith collection time point in the thermal power plant is Sc i For the smoke concentration corresponding to the ith acquisition time point in the thermal power plant, ac 'is a set air oxygen concentration reference value, tc' is a set combustible gas concentration reference value, dc 'is a set dust concentration reference value, sc' is a set smoke concentration reference value, omega 1 、ω 2 、ω 3 、ω 4 Respectively set weight factors corresponding to the oxygen content concentration of the air, the concentration of the combustible gas, the dust concentration and the smoke concentration.
5. The intelligent monitoring and early warning system of the fuel system according to claim 1, wherein the analysis obtains a blockage evaluation coefficient corresponding to a coal dropping pipe at each collection time point in the thermal power plant, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain corresponding blockage evaluation coefficients of coal dropping pipes at each acquisition time point in the thermal power plant, wherein beta is i The method comprises the steps that (1) the blocking evaluation coefficient corresponding to a coal dropping pipe at an ith collecting time point in a thermal power plant is obtained, i is a number corresponding to each collecting time point, and i=1, 2 i Is the coal flow rate corresponding to the ith acquisition time point in the thermal power plant, P i The coal flow pressure corresponding to the ith acquisition time point in the thermal power plant is Cf 'is a set coal flow reference value, P' is a set coal flow pressure reference value, alpha 1 、α 2 Respectively set weight factors corresponding to the coal flow rate and the coal flow pressure.
6. The intelligent monitoring and early warning system of the fuel system according to claim 1, wherein the analysis obtains the operation state evaluation coefficients corresponding to the coal conveyor at each collection time point in the thermal power plant, and the specific judgment process is as follows:
acquiring a coal conveyor belt operation image corresponding to each acquisition time point in the thermal power plant from a coal conveyor operation state diagram corresponding to each acquisition time point in the thermal power plant, and comparing the coal conveyor belt operation images corresponding to each acquisition time point in the thermal power plant according to the sequence of each acquisition time point to obtain a coal conveyor belt operation image overlapping area corresponding to each acquisition time point in the thermal power plant; acquiring the operation noise value of the coal conveyor corresponding to each acquisition time point from the sound sensor corresponding to the coal conveyor in the thermal power plant; electromagnetic pulse signals corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs are obtained from belt tearing detection equipment corresponding to the coal conveyor in the thermal power plant, and further electromagnetic pulse signal amplitude corresponding to the coal conveyor belt at each acquisition time point in the thermal power plant when the coal conveyor belt runs is obtained through a waveform conversion circuit;
by calculation formulaCalculating to obtain the corresponding operation state evaluation coefficients of the coal conveyor at each acquisition time point in the thermal power plant, wherein delta i The method comprises the steps that an operation state evaluation coefficient corresponding to an ith collecting time point coal conveyor in a thermal power plant is obtained, i is a number corresponding to each collecting time point, i=1, 2 i 、Sp i+1 The overlapping areas of the belt running images of the coal conveyor corresponding to the ith acquisition time point and the (i+1) th acquisition time point in the thermal power plant are respectively, delta Sp is a set allowable deviation value of the overlapping areas of the belt running images, no i For the coal conveyor operation noise value corresponding to the ith acquisition time point in the thermal power plant, no' is a set allowed coal conveyor operation noise value, & lt+ & gt> Respectively the ith acquisition time point and the (i+1) th acquisition time point in the thermal power plantCollecting electromagnetic pulse signal amplitude, beta corresponding to the time point and the (i+2) th acquisition time point when the coal conveyor belt operates i Is the blocking evaluation coefficient epsilon corresponding to the coal dropping pipe at the ith acquisition time point in the thermal power plant 1 、ε 2 、ε 3 The weight factors are respectively corresponding to the overlapping area of the belt running image, the running noise value of the coal conveyor and the amplitude of the electromagnetic pulse signal.
7. The intelligent monitoring and early warning system for the fuel system according to claim 1, wherein the specific judging process is as follows: comparing the operation state evaluation coefficient corresponding to the coal conveyor at each acquisition time point in the thermal power plant with the operation state evaluation coefficient threshold stored in the database, if the operation state evaluation coefficient corresponding to the coal conveyor at a certain acquisition time point in the thermal power plant is smaller than the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is healthy, and if the operation state evaluation coefficient of the coal conveyor corresponding to the acquisition time point in the thermal power plant is larger than or equal to the operation state evaluation coefficient threshold stored in the database, judging that the operation state of the coal conveyor corresponding to the acquisition time point in the thermal power plant is unhealthy.
8. The intelligent monitoring and early warning system for the fuel system according to claim 1, wherein the specific judging process is as follows:
extracting images of safety protection equipment of each worker corresponding to each collecting time point in the thermal power plant from images of each worker corresponding to each collecting time point in the thermal power plant, and judging whether the safety protection state of each worker corresponding to each collecting time point in the thermal power plant is insufficient or not;
extracting the distance between each worker in the thermal power plant and a coal conveyor belt in the thermal power plant from each worker image corresponding to each acquisition time point in the thermal power plant, obtaining the belt distance corresponding to each worker in each acquisition time point, comparing the belt distance corresponding to each worker in each acquisition time point with the safety distance stored in the database, judging that the worker in the thermal power plant is in the safety distance if the belt distance corresponding to each worker in each acquisition time point is greater than or equal to the safety distance stored in the database, and judging that the worker in the thermal power plant is in the dangerous distance if the belt distance corresponding to each worker in each acquisition time point is less than the safety distance stored in the database;
when the safety protection state of a certain worker corresponding to a certain collection time point in the thermal power plant is insufficient or is in a dangerous distance, judging whether dangerous behaviors exist on the workers corresponding to the collection time points in the thermal power plant, and judging whether dangerous behaviors exist on the workers corresponding to the collection time points in the thermal power plant in this way.
9. The intelligent monitoring and early warning system for a fuel system according to claim 8, wherein the specific judging process is as follows: comparing the safety equipment images of the workers corresponding to each acquisition time point in the thermal power plant with the safety equipment images stored in the database, and judging that the safety protection state of the workers corresponding to each acquisition time point is insufficient if the safety equipment images of the workers corresponding to the acquisition time point in the thermal power plant are inconsistent with the safety equipment images stored in the database, so that whether the safety protection state of the workers corresponding to each acquisition time point is insufficient is judged.
10. The fuel system intelligent monitoring and early warning system of claim 1, further comprising a database for storing temperature thresholds, environmental information assessment coefficient thresholds, operating state assessment coefficient thresholds, safety equipment images, and safety distances.
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| CN117788250A (en) * | 2024-02-23 | 2024-03-29 | 天津中天瑞泰安全设备有限公司 | Intelligent miniature fire station management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117788250A (en) * | 2024-02-23 | 2024-03-29 | 天津中天瑞泰安全设备有限公司 | Intelligent miniature fire station management system and method |
| CN117788250B (en) * | 2024-02-23 | 2024-05-07 | 天津中天瑞泰安全设备有限公司 | Intelligent miniature fire station management system and method |
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