CN113640022B - Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment - Google Patents
Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment Download PDFInfo
- Publication number
- CN113640022B CN113640022B CN202110875244.4A CN202110875244A CN113640022B CN 113640022 B CN113640022 B CN 113640022B CN 202110875244 A CN202110875244 A CN 202110875244A CN 113640022 B CN113640022 B CN 113640022B
- Authority
- CN
- China
- Prior art keywords
- negative pressure
- roller
- fire
- thermal regeneration
- regeneration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000008929 regeneration Effects 0.000 title claims abstract description 248
- 238000011069 regeneration method Methods 0.000 title claims abstract description 248
- 238000012544 monitoring process Methods 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 69
- 238000012806 monitoring device Methods 0.000 title claims description 12
- 238000001035 drying Methods 0.000 claims abstract description 124
- 238000005265 energy consumption Methods 0.000 claims abstract description 30
- 239000000463 material Substances 0.000 claims description 53
- 239000000446 fuel Substances 0.000 claims description 20
- 238000005259 measurement Methods 0.000 claims description 2
- 230000001172 regenerating effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 239000010426 asphalt Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/002—Thermal testing
-
- 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
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Fire Alarms (AREA)
- Drying Of Solid Materials (AREA)
Abstract
The application provides a fire monitoring method and device for thermal regeneration equipment and the thermal regeneration equipment, which solve the technical problem that the fire phenomenon of the thermal regeneration equipment cannot be predicted in advance in the prior art, and the fire phenomenon is avoided. The method comprises the steps of obtaining drum negative pressure state information, outer wall temperature and energy consumption state information of a drying drum of thermal regeneration equipment, namely obtaining the running state of the thermal regeneration equipment, and generating fire prediction parameters; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameters and a preset threshold value; when the fire prediction parameter is judged to be greater than or equal to the preset threshold value, the fire risk exists, and the fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and the occurrence of the fire phenomenon of the thermal regeneration equipment is avoided.
Description
Technical Field
The application relates to the field of engineering machinery, in particular to a fire monitoring method and device of thermal regeneration equipment and the thermal regeneration equipment.
Background
The plant-mixed heat regeneration equipment is characterized in that old asphalt pavement is milled, dug and then conveyed back to a mixing plant, then crushed in a concentrated manner, and according to the quality requirements of different layers of pavement, the old asphalt is heated and then mixed with other materials to form a new mixed material. Because the old asphalt is heated and mixed in the drying roller of the thermal regeneration equipment in the production process, energy for drying and heating is provided for the drying roller through a burner; accordingly, when a user's operation mistake or equipment malfunction occurs, the thermal regeneration equipment may generate a misfire phenomenon that not only pollutes the environment but also causes the asphalt plant to be shut down.
In the prior art, in order to solve the problem of fire phenomenon of the thermal regeneration equipment, a large amount of cold regeneration materials are generally added into the thermal regeneration equipment to cool the interior of the equipment, and if fire happens, the open fire is extinguished through the cold regeneration materials; the method aims at the prevention and the remedy measures after the fire phenomenon of the thermal regeneration equipment occurs, but can not predict the fire phenomenon of the thermal regeneration equipment in advance, so that the fire phenomenon is avoided.
Disclosure of Invention
In view of the above, the application provides a fire monitoring method and device for thermal regeneration equipment and the thermal regeneration equipment, which solve the technical problem that the fire phenomenon of the thermal regeneration equipment cannot be predicted in advance in the prior art and avoid the occurrence of the fire phenomenon.
According to one aspect of the present application, a misfire monitoring method of a thermal regeneration apparatus includes: acquiring cylinder negative pressure state information of a drying cylinder in thermal regeneration equipment; obtaining the outer wall temperature of the outer wall of the drying roller; acquiring energy consumption state information of the thermal regeneration equipment; generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information; and generating the fire monitoring reminding information when the fire prediction parameter is greater than or equal to a preset threshold value.
In one possible implementation, when the misfire prediction parameter is greater than or equal to a preset threshold, generating the misfire monitoring reminder information includes: and when the fire prediction parameter is greater than or equal to a first preset threshold value, generating first early warning information, wherein the first early warning information is used for indicating that the drying roller has fire risk.
In one possible implementation, the roller negative pressure state information includes: a roller negative pressure state coefficient; wherein, the acquiring the drum negative pressure state information of the drying drum in the thermal regeneration equipment comprises: acquiring a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period; and generating the roller negative pressure state coefficient according to the roller negative pressure value.
In one possible implementation, acquiring the drum negative pressure value of the drying drum in the heat regeneration device for a preset period of time includes: acquiring an average negative pressure value of a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period; generating the roller negative pressure state coefficient according to the roller negative pressure value, including: and generating the negative pressure state coefficient of the roller according to the average negative pressure value and a preset negative pressure state coefficient lookup table.
In one possible implementation, the preset negative pressure state coefficient lookup table includes: acquiring a roller negative pressure range according to a plurality of average negative pressure values; generating the preset negative pressure state coefficient lookup table according to the roller negative pressure range and a preset roller negative pressure weighted value; wherein, according to the average negative pressure value and a preset negative pressure state coefficient lookup table, generating the roller negative pressure state coefficient comprises: and searching a section of the roller negative pressure range where the value is located in the preset negative pressure state coefficient lookup table according to the value of the average negative pressure value to obtain the roller negative pressure state coefficient.
In one possible implementation manner, the obtaining the energy consumption state information of the thermal regeneration device includes: acquiring the feeding speed, the fuel consumption speed and a preset weighting coefficient of the thermal regeneration equipment; and generating the energy consumption state information according to the feeding speed, the fuel consumption speed and the preset weighting coefficient.
In one possible implementation manner, the obtaining the feeding speed of the thermal regeneration device includes: when the material flow signals of the elevator are obtained, the feeding frequencies of a plurality of regeneration bins are respectively obtained; and calculating the feeding speed information according to the sum of the feeding frequencies.
In one possible implementation manner, the respectively obtaining the feeding frequencies of the plurality of regeneration bins includes: when the feeding material flow signal of any regeneration bin is obtained, according to the feeding material flow signal, the feeding frequency of the regeneration bin corresponding to the feeding material flow signal is generated.
In one possible implementation manner, the respectively obtaining the feeding frequencies of the plurality of regeneration bins includes: and when the feeding stream signals of the regeneration bins are not acquired, generating that the feeding frequency of the regeneration bins is zero.
In one possible implementation manner, the obtaining the feeding speed of the thermal regeneration device includes: and when the hoister material flow signal is not acquired, generating that the feeding speed of the thermal regeneration equipment is zero.
In one possible implementation manner, after generating the first early warning information when the misfire prediction parameter is greater than or equal to the first preset threshold value, the method further includes: when the fire prediction parameter is greater than or equal to a second preset threshold value, generating first control information and second early warning information, wherein the first control information is used for controlling the shutdown of the thermal regeneration equipment; the second early warning information is used for indicating that the drying roller has a fire risk; wherein the second preset threshold is greater than the first preset threshold.
As a second aspect of the present application, a misfire monitoring apparatus of a thermal regeneration device includes: the data acquisition module is used for acquiring roller negative pressure state information of a drying roller in the thermal regeneration equipment, acquiring outer wall temperature of the outer wall of the drying roller and acquiring energy consumption state information of the thermal regeneration equipment; the fire prediction parameter generation module is used for generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information; and the fire monitoring reminding module is used for generating fire monitoring reminding information when the fire prediction parameter is greater than or equal to a preset threshold value.
As a third aspect of the present application, a thermal regeneration apparatus includes: a drying roller; a burner for providing drying heat to the drying drum; at least one regeneration bin; a lifting machine communicated with the regeneration bin; the measuring device is respectively and electrically connected with the drying roller, the burner, the regeneration bin and the elevator; and the fire monitoring device of the thermal regeneration equipment is in communication connection with the measuring device.
In one possible implementation, the measuring device includes: a flow meter disposed on the burner, the flow meter for detecting a fuel consumption rate within the burner; the negative pressure sensor is arranged on the drying roller and is used for detecting the negative pressure value of the drying roller; the temperature sensor is arranged above the drying roller and is used for detecting the outer wall temperature of the outer wall of the drying roller; the first material flow sensor is arranged on the regeneration bin and is used for detecting the feeding frequency in the regeneration bin; a second flow sensor disposed on the hoist, the second flow sensor configured to detect a flow frequency within the hoist; and the fire monitoring device is respectively in communication connection with the flowmeter, the negative pressure sensor, the temperature sensor, the first material flow sensor and the second material flow sensor.
As a fourth aspect of the present application, an electronic device includes: a processor; and a memory for storing the processor-executable information; the processor is used for executing the fire monitoring method of the thermal regeneration equipment.
As a fifth aspect of the present application, a computer-readable storage medium storing a computer program for executing the misfire monitoring method of the thermal regeneration apparatus described above.
According to the fire monitoring method of the thermal regeneration equipment, the fire prediction parameters are generated by acquiring the drum negative pressure state information, the outer wall temperature and the energy consumption state information of the drying drum of the thermal regeneration equipment, namely, the running state of the thermal regeneration equipment; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameters and a preset threshold value; when the fire prediction parameter is judged to be greater than or equal to the preset threshold value, the fire risk exists, and the fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and the occurrence of the fire phenomenon of the thermal regeneration equipment is avoided.
Drawings
FIG. 1 is a schematic flow chart of a method for monitoring fire of a thermal regeneration device according to the present application;
FIG. 2 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 3 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 4 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 5 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 6 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 7 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 8 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 9 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 10 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 11 is a schematic flow chart of another method for monitoring misfire of thermal regeneration devices according to the present application;
FIG. 12 is a schematic diagram illustrating the operation of a misfire monitoring apparatus of a thermal regeneration device provided by the present application;
FIG. 13 is a schematic diagram of a thermal regeneration device according to the present disclosure;
fig. 14 is a schematic diagram of an electronic device according to the present application.
Detailed Description
In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back, top, bottom … …) in the embodiments of the present application are merely used to explain the relative positional relationship, movement, etc. between the components in a particular gesture (as shown in the drawings), and if the particular gesture changes, the directional indication changes accordingly. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Furthermore, references herein to "an embodiment" mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Fig. 1 is a schematic flow chart of a method for monitoring fire of a thermal regeneration device according to the present application, and as shown in fig. 1, the method for monitoring fire includes:
step S101, acquiring cylinder negative pressure state information of a drying cylinder in thermal regeneration equipment;
wherein, the drying roller is heated by the burner in the heat regeneration equipment, so that the materials are heated and dried, when the negative pressure in the drying roller is kept constant, the high-temperature gas stably passes through the roller, and the drying effect is optimal; when the negative pressure of the roller is too low or too high, the material mixing effect is poor, the environment is polluted, and the temperature of a burner in the thermal regeneration equipment is too high; therefore, step S101 is performed to obtain the drum negative pressure state information of the drying drum;
step S102, obtaining the outer wall temperature of the outer wall of the drying roller;
Because the temperature of the drying roller can influence the wrapping property of the material, the drying roller is controlled to be at a proper temperature for better wrapping property of the material, and when the temperature is too high, the fire of the drying roller can be caused, so that the step S102 is required to be executed to obtain the outer wall temperature of the outer wall of the drying roller;
step S103, energy consumption state information of the thermal regeneration equipment is obtained;
step S103, calculating the quantity of fuel supplied by the burner to the drying roller and the utilization rate of the fuel by acquiring the energy consumption state information of the thermal regeneration equipment;
step S104, generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information;
step S104 is to generate fire prediction parameters of the drying drum according to the drum negative pressure state information of step S101, the outer wall temperature of step S102 and the energy consumption state information of step S103;
step S105: judging whether the fire prediction parameter is greater than or equal to a preset threshold value;
when the judgment result in the step S105 is yes, that is, the fire prediction parameter is greater than or equal to the preset threshold, that is, the drying drum is indicated to have a fire risk, and thus, fire monitoring reminding information is generated. I.e., step S106 is performed;
step S106, generating fire monitoring reminding information;
Step S105, judging according to the fire prediction parameters and a preset threshold, wherein the preset threshold is selected correspondingly through the safety use standard of the thermal regeneration equipment; when judging that the fire prediction parameter is greater than or equal to the preset threshold, the fire risk exists at the moment, and step S106 generates fire monitoring reminding information to predict the realization risk in advance;
when the judgment result in the step S105 is no, that is, the misfire prediction parameter is smaller than the preset threshold, that is, it is indicated that the drying drum at this time has no risk of misfire temporarily, and therefore, the use state of the drying drum is continuously detected, that is, the steps S101 to S106 are continuously performed.
According to the fire monitoring method of the thermal regeneration equipment, the fire prediction parameters are generated by acquiring the drum negative pressure state information, the outer wall temperature and the energy consumption state information of the drying drum of the thermal regeneration equipment, namely, the running state of the thermal regeneration equipment; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameters and a preset threshold value; when the fire prediction parameter is judged to be greater than or equal to the preset threshold value, the fire risk exists, and the fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and the occurrence of the fire phenomenon of the thermal regeneration equipment is avoided.
In a possible implementation manner, as shown in fig. 2, a flow chart of a misfire monitoring method of another thermal regeneration apparatus provided in the present application, in step S105 (when a misfire prediction parameter is greater than or equal to a preset threshold value) and step S106 (generating a misfire monitoring reminding message) includes:
step S1051, judging whether the parameter of the fire prediction is larger than or equal to a first preset threshold;
when the judgment result in the step S1051 is yes, that is, the fire prediction parameter is greater than or equal to the preset threshold, that is, the drying drum is indicated to have a fire risk, so that first early warning information is generated for reminding the user that the drying drum has a fire risk, that is, the step S1061 is executed;
step S1061 generates first pre-warning information for indicating that the drying drum has a fire risk.
Step S1051 is to perform a first judgment according to the fire prediction parameter of step S104 and a first preset threshold, and when the fire prediction parameter is greater than or equal to the first preset value, the thermal regeneration device has a fire risk, and step S1061 is to generate first early warning information, where the first early warning information is used to indicate that the drying drum has a fire risk. After knowing that the thermal regeneration equipment has the fire risk through the first early warning information sent by the display or the buzzer, the user processes the thermal regeneration equipment, for example, the fire risk is avoided by adjusting the pressure of the drying roller, the flame of the combustion of the combustor, the fuel consumption speed, the feeding speed and the like, so that the thermal regeneration equipment can normally operate, and the fire risk is predicted in advance;
When the judgment result in the step S105 is no, that is, the misfire prediction parameter is smaller than the preset threshold, that is, it is indicated that the drying drum at this time has no risk of misfire temporarily, and therefore, the use state of the drying drum is continuously detected, that is, the steps S101 to S1061 are continuously performed.
In one possible implementation manner, as shown in fig. 3, since the negative pressure state of the drum fluctuates in real time, the fire monitoring method of the other heat regeneration device provided in the present application is shown in fig. 3, and therefore, in order to obtain more accurate negative pressure state information of the drum, the negative pressure state information of the drum is determined by the negative pressure state coefficient of the drum;
wherein, in step S101 (acquiring the drum negative pressure state information of the drying drum in the thermal regeneration apparatus), it includes:
step S1011, the roller negative pressure state information comprises a roller negative pressure state coefficient; acquiring a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period;
step S1011 is to obtain the negative pressure value of the drying roller in the time period of the preset time period;
step S1012, generating a roller negative pressure state coefficient according to the roller negative pressure value;
step S1012 is to generate a roller negative pressure state coefficient according to the roller negative pressure value of step S1011, and further to obtain roller negative pressure state information, thereby obtaining the negative pressure state information of the drying roller through the roller negative pressure state coefficient; the roller negative pressure state coefficient is generated through the roller negative pressure value and is used as roller negative pressure state information, and the roller negative pressure state information is more accurate.
In a possible implementation manner, as shown in fig. 4, a flow chart of a fire monitoring method of another heat regeneration device provided in the present application, as shown in fig. 4, in step S1011 (obtaining a drum negative pressure value of a drying drum in a heat regeneration device for a preset period of time), includes:
step S10111, obtaining an average negative pressure value of a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period;
step S10111 is to acquire an average negative pressure value of the negative pressure values of the drying drum within a preset time period because the fluctuation range of the negative pressure values of the drying drum is relatively large, so that the monitored state information data of the drying drum is more accurate;
in step S1012 (generating the drum negative pressure state coefficient from the drum negative pressure value), including:
step S10121, generating a roller negative pressure state coefficient according to the average negative pressure value and a preset negative pressure state coefficient lookup table;
step S10121 is a generated accurate cylinder negative pressure state coefficient according to the average negative pressure value and the preset negative pressure state coefficient lookup table in step S10111, so that the value of the misfire prediction parameter is more accurate, and further, the misfire phenomenon of the thermal regeneration device can be accurately predicted.
In a possible implementation manner, fig. 5 is a schematic flow chart of a fire monitoring method of another thermal regeneration device provided in the present application, and as shown in fig. 5, the preset negative pressure state coefficient lookup table includes:
step S101211, acquiring a roller negative pressure range according to a plurality of average negative pressure values;
step S101211 is to sort the plurality of average negative pressure values into a roller negative pressure range; for example, as shown in Table 1, the negative pressure ranges are 0.ltoreq.P < 5, 5.ltoreq.P < 10, etc.;
step S101212, generating a preset negative pressure state coefficient lookup table according to the roller negative pressure range and a preset roller negative pressure weighting value;
step S101212 is to obtain a preset negative pressure state coefficient lookup table according to the roller negative pressure range and the preset roller negative pressure weighted value obtained in step S101211, where the preset roller negative pressure weighted value is a1, a2, a3, etc. in table 1; it can be seen that the preset negative pressure state coefficient lookup table is generated according to the average negative pressure value of the drum and the preset negative pressure weighting value of the drum in a plurality of time periods, specifically, as shown in table 1.
TABLE 1
Step S10121 (generating a roller negative pressure state coefficient according to the average negative pressure value and the preset negative pressure state coefficient lookup table) includes:
step S101213, searching a section of a roller negative pressure range in which the value is located in a preset negative pressure state coefficient lookup table according to the value of the average negative pressure value to obtain a roller negative pressure state coefficient;
Step S101213 is to find the section of the negative pressure range of the drum where the value is located in a preset negative pressure state coefficient lookup table according to the value of the average negative pressure value, namely the negative pressure state coefficient of the drum; for example, the value of the obtained average negative pressure value is 1.5, and if the section of the negative pressure range of the roller corresponding to 1.5 is found to be 0 less than or equal to P < 5 in the preset negative pressure state coefficient lookup table, the negative pressure state coefficient of the roller is a1. Because the negative pressure value of the roller and the fire risk are not in a linear relation, the value of the average negative pressure value is obtained, the section of the negative pressure range of the roller where the value is located is searched in a preset negative pressure state coefficient lookup table, the negative pressure state coefficient of the roller is generated, and the condition that the error of the prediction parameter of the negative pressure value of the roller for predicting the fire is overlarge is avoided, so that the fire risk can be accurately predicted.
In one possible implementation, the preset duration t1 time is less than or equal to 1 minute; the heat regeneration equipment is conveyed to the drying roller through the lifting machine, and the combustor supplies fuel to the drying roller, so that the process is about 30-40 seconds when the drying roller heats and dries materials, and the preset time is less than or equal to 1 minute, and the heat regeneration equipment can be accurately monitored.
Optionally, the preset duration t1 is equal to 1 minute; the running state of the thermal regeneration equipment in a process that materials enter the drying roller from the regeneration bin to be heated and dried can be obtained, and the fire phenomenon of the thermal regeneration equipment is monitored more timely and accurately.
In a possible implementation manner, as shown in fig. 6, a flow chart of a fire monitoring method of another thermal regeneration device provided in the present application, as shown in fig. 6, in step S103 (obtaining energy consumption state information of the thermal regeneration device), includes:
step S1031, obtaining a feeding speed, a fuel consumption speed and a preset weighting coefficient of thermal regeneration equipment;
step S1031 is to measure the consumption state of the thermal regeneration device in real time by the feeding speed and the fuel consumption speed of the thermal regeneration device, and correct the measured consumption state information by the weighting coefficient, so that the obtained feeding speed and fuel consumption speed are more accurate;
step S1032, generating energy consumption state information according to the feeding speed, the fuel consumption speed and the preset weighting coefficient.
Step S1032 is energy consumption state information generated according to the feeding speed, the fuel consumption speed and the weighting coefficient of step S1031, and the energy consumption state information is more accurate, so that the misfire phenomenon of the thermal regeneration device can be accurately predicted.
In a possible implementation manner, as shown in fig. 7, a flow chart of a fire monitoring method of another thermal regeneration device provided in the present application is shown in fig. 7, in step S1031 (obtaining a feeding speed, a fuel consumption speed, and a preset weighting coefficient of the thermal regeneration device), where obtaining feeding speed information of the thermal regeneration device includes:
step S10311, determining whether the elevator acquires the stream signal,
when the step S10311 is yes, when the elevator stream signal is obtained, it is indicated that the elevator is performing the work of transporting the material to the drying drum, and since the frequency of transporting the material to the drying drum by the elevator is fixed and the frequency of the regeneration bin is not fixed, the feeding speed of the thermal regeneration device is obtained by obtaining the feeding information of the regeneration bin, that is, performing step S10312,
step S10312, respectively acquiring feeding frequency information of a plurality of regeneration bins;
step S10312 is to obtain the feeding frequency information of the plurality of regeneration bins, and since the feeding frequency information of each regeneration bin is not fixed, calculation needs to be performed on each regeneration bin, that is, step S10313 is executed;
step S10313, calculating and generating a feeding speed according to the sum of the feeding frequency information;
Step S10313 is to perform addition calculation on the multiple feeding frequency information to generate feeding speed information; the feeding speed information is used as one of conditions for generating early warning parameters. Therefore, when the elevator detects signals, the feeding speed is obtained by adding and calculating the frequency information of a plurality of feeding bins, the feeding speed is more convenient and simpler to obtain by adopting the method, and the obtained feeding speed is accurate;
in step S10314, the fuel consumption speed of the thermal regeneration device is acquired, and a weighting coefficient is preset.
In a possible implementation manner, as shown in fig. 8, a flow chart of a fire monitoring method of another thermal regeneration device provided in the present application is shown in fig. 8, in step S10312 (respectively obtaining feeding frequency information of a plurality of regeneration bins), where obtaining the feeding frequency of the regeneration bins includes:
step 103121, when a feeding stream signal of any regeneration bin is obtained, generating a feeding frequency of the regeneration bin corresponding to the feeding stream signal according to the feeding stream signal;
step S103121 is to, when a feeding stream signal of any regeneration bin is obtained, indicate that the regeneration bin is performing material conveying operation at this time, generate a feeding frequency of the regeneration bin according to the obtained feeding stream signal, where the feeding frequency is used to calculate a feeding speed; and acquiring information of a plurality of feeding frequencies in the same manner, calculating the feeding frequencies of a plurality of regeneration bins to generate the feeding speed, and executing step S10313.
In a possible implementation manner, as shown in fig. 9, a flow chart of a fire monitoring method of another thermal regeneration device provided in the present application is shown in fig. 9, in step S10312 (respectively obtaining feeding frequency information of a plurality of regeneration bins), where obtaining the feeding frequency of the regeneration bins includes:
step 103122, when the feeding stream signals of the plurality of regeneration bins are not obtained, generating that the feeding frequency of the plurality of regeneration bins is zero;
step 103122 is to indicate that no material is output in the regeneration bin or the regeneration bin fails at this time when the feeding stream signals of the regeneration bins are not obtained, and the feeding frequency of the generated regeneration bin is zero; adding the obtained feeding frequencies of the plurality of regeneration bins, and calculating to obtain feeding speed information;
it is specifically understood that, assuming two regeneration bins in the thermal regeneration device, when one regeneration bin does not detect the feeding information, the feeding frequency is 0 at this time; the other regeneration bin detects feeding information, and the feeding frequency of the regeneration bin is 20; and adding the feeding frequencies of the two regeneration bins, wherein when the feeding frequency generated by the two regeneration bins is 20, the feeding speed of the thermal regeneration equipment is 20, namely the obtained feeding speed information.
In a possible implementation manner, as shown in fig. 10, a flow chart of a fire monitoring method of another thermal regeneration device provided in the present application is shown in fig. 10, in step S1031 (obtaining a feeding speed, a fuel consumption speed, and a preset weighting coefficient of the thermal regeneration device), where obtaining the feeding speed of the thermal regeneration device includes:
step S10311, determining whether the elevator acquires the stream signal,
when step S10311 determines that no elevator material flow signal is obtained, the elevator may be blocked or the elevator is empty or the elevator fails, and the elevator does not convey material to the drying drum; the feeding speed of the thermal regeneration device is zero, that is, step S1035 is executed;
step S10315, the feeding speed of the generated heat regeneration equipment is zero;
step S101315 is that the material enters the drying roller from the regeneration bin of the thermal regeneration device to be heated and dried, the material needs to be conveyed by the lifter, when the lifter material does not acquire a material flow signal, the lifter may be blocked or the lifter is empty or the lifter fails, the lifter does not convey the material to the drying roller, and then the fire risk exists in the drying roller; therefore, at this time, the feeding speed of the thermal regeneration device is zero, and thus the generated misfire prediction parameters can be accurate.
In a possible implementation manner, as shown in fig. 11, after step S1051 (determining whether the parameter of the misfire prediction is greater than or equal to the first preset threshold value) and step S1061 (generating the first early warning information), when the parameter of the misfire prediction is greater than or equal to the preset threshold value, generating the misfire monitoring reminder information, as shown in a flowchart of a misfire monitoring method of another thermal regeneration apparatus provided by the present application, the misfire monitoring method further includes:
step S1052, determining whether the misfire prediction parameter is greater than or equal to a second preset threshold,
when step S1052 is yes, i.e., the misfire prediction parameter is greater than or equal to the second preset threshold value, i.e., it is indicated that the drying drum reaches the misfire critical value, i.e., a misfire is imminent, so that first control information and second early warning information are generated, i.e., step S1062 is performed;
step S1062, generating first control information and second early warning information, wherein the first control information is used for controlling the shutdown of the heat regeneration equipment, and the second early warning information is used for indicating that the drying roller has fire risk;
step S1062 is to judge that the drying drum is about to have a fire phenomenon according to step S1052, stop the machine to protect the thermal regeneration device through the first control information control device, and prompt the user that the drying drum has a fire risk through the second early warning information;
Wherein the second preset threshold is greater than the first preset threshold.
Step S1052 is to prompt the thermal regeneration device that there is a risk of fire when the first warning information is generated in step S1051, and the user does not take corresponding measures to reduce the risk of fire, and the thermal regeneration device still has a risk of fire; when the step S1052 judges that the fire prediction parameter is greater than or equal to the second preset threshold, the second preset threshold is greater than the first preset threshold, which indicates that the thermal regeneration device reaches the critical value of the fire prediction parameter, if the thermal regeneration device continues to work, the fire phenomenon occurs in the thermal regeneration device, and at this time, first control information is generated for controlling the thermal regeneration device to stop and protecting the thermal regeneration device; meanwhile, generating second early warning information, and reminding a user of impending fire phenomenon of fire risk of the drying roller of the thermal regeneration equipment again; therefore, the method and the device realize the pre-warning prediction and monitoring of the fire risk phenomenon of the drying roller of the thermal regeneration equipment for two times, and perform automatic shutdown protection when the running state of the thermal regeneration equipment is in the critical of the fire phenomenon, so as to avoid the fire phenomenon of the thermal regeneration equipment.
In a second aspect of the present application, fig. 12 is a schematic operation diagram of a misfire monitoring apparatus of a thermal regeneration device provided in the present application, as shown in fig. 12, the misfire monitoring apparatus including: the data acquisition module 1 is used for acquiring the roller negative pressure state information of a drying roller in the thermal regeneration equipment, acquiring the outer wall temperature of the outer wall of the drying roller and acquiring the energy consumption state information of the thermal regeneration equipment; the fire prediction parameter generation module 2 is used for generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information; the fire monitoring reminding module 3 is used for generating fire monitoring reminding information when the fire prediction parameter is greater than or equal to a preset threshold value. When monitoring running thermal regeneration equipment, acquiring drum negative pressure state information, outer wall temperature and energy consumption state information of a drying drum through a data acquisition module 1; the fire prediction parameter generation module 2 generates fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information; the fire monitoring reminding module 3 judges the fire prediction parameters of the fire prediction parameter generating module 2 with a preset threshold, and generates fire monitoring reminding information for reminding a user that the thermal regeneration equipment has the risk of generating a fire phenomenon when the fire prediction parameters are larger than or equal to the preset threshold, so that the occurrence of the phenomenon of the thermal regeneration equipment is predicted in advance, and the risk of generating the fire is avoided.
In one possible implementation, the misfire monitoring reminder module 3 includes: and the first early warning information is used for indicating that the drying drum has a fire risk when the fire prediction parameter is greater than or equal to a first preset threshold value. The fire monitoring reminding module 3 judges according to the fire prediction parameters of the fire prediction parameter generating module 2 and a preset threshold value, and when the fire prediction parameters are larger than or equal to a first preset threshold value, generates first early warning information to indicate that the drying roller has fire risk, so that the equipment is prevented from generating fire risk.
In one possible implementation, the data acquisition module 1 comprises: the method comprises the steps of acquiring a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period; and generating the roller negative pressure state coefficient according to the roller negative pressure value, wherein the roller negative pressure state information comprises: a roller negative pressure state coefficient. Since the drum negative pressure state fluctuates in real time, the drum negative pressure state information includes: the roller negative pressure state coefficient is used for acquiring a roller negative pressure value of a drying roller in the thermal regeneration equipment within a preset time period by the data acquisition module 1; and generating the roller negative pressure state coefficient according to the roller negative pressure value to serve as roller negative pressure state information.
In one possible implementation, the data acquisition module 1 further comprises: the method comprises the steps of obtaining an average negative pressure value of a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period; generating a roller negative pressure state coefficient according to the roller negative pressure value; the obtained negative pressure state coefficient of the roller is more accurate, so that the fire loss prediction parameter value is more accurate.
In one possible implementation, the data acquisition module 1 further comprises: the method comprises the steps of acquiring a feeding speed, a fuel consumption speed and a preset weighting coefficient of thermal regeneration equipment; generating energy consumption state information according to the feeding speed, the fuel consumption speed and a preset weighting coefficient; more accurate energy consumption state information is obtained, so that the fire phenomenon of the heat regeneration equipment can be accurately predicted.
In one possible implementation, the data acquisition module 1 further comprises: when the material flow signals of the elevator are acquired, the feeding frequency information of a plurality of regeneration bins is respectively acquired; calculating the feeding speed according to the sum of the feeding frequencies; the feeding speed information is used as one of conditions for generating early warning parameters.
In one possible implementation, the data acquisition module 1 further comprises: when a feeding material flow signal of any regeneration bin is obtained, according to the feeding material flow signal, the feeding frequency of the regeneration bin corresponding to the feeding material flow signal is generated; the data acquisition module 1 is used for generating the feeding frequency of the regeneration bin according to the feeding material flow signal, and the feeding frequency is used for calculating the feeding speed.
In one possible implementation, the data acquisition module 1 further comprises: and the method is used for generating that the feeding frequency of the plurality of regeneration bins is zero when the feeding stream signals of the plurality of regeneration bins are not acquired. When the data acquisition module 1 does not acquire the feeding material flow signal of the regeneration bin, the situation that no material is output in the regeneration bin or the regeneration bin fails at the moment is indicated, and the feeding frequency of the regeneration bin is zero.
In one possible implementation, the data acquisition module 1 further comprises: and the feeding speed of the heat regeneration equipment is zero when the hoister does not acquire a material flow signal. When the data acquisition module 1 does not acquire the material flow signal, the regeneration bin does not convey the material, and the lifting machine does not convey the material to the drying roller, so that the drying roller has fire risk at the moment.
In one possible implementation, the misfire monitoring reminder module 3 further includes: when the fire prediction parameter is greater than or equal to a second preset threshold value, generating first control information and second early warning information, wherein the first control information is used for controlling the shutdown of the heat regeneration equipment; the second early warning information is used for indicating that the drying roller has fire risk; wherein the second preset threshold is greater than the first preset threshold. The first control information control equipment stops to protect the thermal regeneration equipment, and the second early warning information prompts a user that the drying roller has fire risk.
In a third aspect of the present application, fig. 13 is a schematic structural diagram of a thermal regeneration device provided in the present application, as shown in fig. 13, the thermal regeneration device includes: a drying drum 11; the drying roller 11 is used for heating and drying materials; a burner 12 for providing drying heat to the drying drum; at least one regeneration silo 16; a hoist 18 in communication with the regeneration bin 16; measuring devices (not shown in fig. 12) electrically connected with the drying drum 11, the burner 12, the regeneration bin 16 and the elevator 18, respectively; and the fire monitoring device of the thermal regeneration equipment, wherein the fire monitoring device is in communication connection with the measuring device. In the working process of the thermal regeneration equipment, the measuring device is used for acquiring the negative pressure state information of the drying roller 11 and the outer wall temperature of the outer wall of the drying roller; and acquiring energy consumption state information of the combustor 12, the regeneration bin 16 and the elevator 18; the fire monitoring device performs the fire monitoring method according to the data information of the drying drum 11, the burner 12, the regeneration bin 16, and the elevator 18 acquired by the measuring device, so as to avoid the risk of fire occurrence, wherein the fire monitoring method is explained above and not described in detail herein.
In one possible implementation, as shown in fig. 13, the measurement device includes: a flow meter 13 provided on the combustor 12, the flow meter 13 for detecting a fuel consumption rate in the combustor 12; a negative pressure sensor 14 provided on the drying drum 11, the negative pressure sensor 14 for detecting an 11 negative pressure value of the drying drum; a temperature sensor 15 disposed above the drying drum 11, the temperature sensor 15 being for detecting an outer wall temperature of an outer wall of the drying drum; a first material flow sensor 17 arranged on the regeneration bin 16, the first material flow sensor 17 being used for detecting the feeding frequency in the regeneration bin 16; a hoist 18 in communication with the regeneration bin 16; a second flow sensor 19 disposed on the elevator 18, the second flow sensor 19 for detecting a flow frequency within the elevator 18; the fire monitoring device of the thermal regeneration equipment is described above, and is not described in detail; wherein the fire monitoring device is communicatively connected to the flow meter 13, the negative pressure sensor 14, the temperature sensor 15, the first flow sensor 17 and the second flow sensor 19, respectively. When the heat regeneration equipment is used, the regeneration bin 16 is used for providing materials, the materials are conveyed to the drying roller 11 through the lifting machine 18 to be heated and dried, the combustor 12 provides drying heat for the drying roller 11, the materials of the drying roller 11 are heated and dried, the running state of the combustor 12, the drying roller 11, the regeneration bin 16 and the lifting machine 18 are monitored in real time through the flowmeter 13 arranged on the combustor 12, the negative pressure sensor 14 on the drying roller 11, the temperature sensor 15 above the drying roller 11, the first material flow sensor 17 on the regeneration bin 16 and the second material flow sensor 19 on the lifting machine 18, namely, the running state of the heat regeneration equipment is obtained in real time, the fire monitoring device predicts the fire phenomenon risk of the heat regeneration equipment in advance according to the monitored running state of the heat regeneration equipment, the fire is avoided, the safety running reliability of the heat regeneration equipment is improved, and the economic value of the heat regeneration equipment is further improved.
Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 14. Fig. 14 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
As shown in fig. 14, the electronic device 600 includes one or more processors 601 and memory 602.
The processor 601 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or information execution capabilities and may control other components in the electronic device 600 to perform desired functions.
The memory 602 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program information may be stored on the computer readable storage medium, which may be executed by the processor 601 to implement the misfire monitoring method or other desired functions of the various embodiments of the present application described above.
In one example, the electronic device 600 may further include: input device 603 and output device 604, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The input device 603 may include, for example, a keyboard, a mouse, and the like.
The output device 604 can output various information to the outside. The output means 604 may comprise, for example, a display, a communication network, a remote output device to which it is connected, and so forth.
Of course, only some of the components of the electronic device 600 that are relevant to the present application are shown in fig. 14 for simplicity, components such as buses, input/output interfaces, and the like are omitted. In addition, the electronic device 600 may include any other suitable components depending on the particular application.
In addition to the methods and apparatus described above, embodiments of the present application may also be a computer program product comprising computer program information, which when executed by a processor, causes the processor to perform the steps in the misfire monitoring method according to various embodiments of the present application described in the present specification.
The computer program product may write program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium, on which computer program information is stored, which, when being executed by a processor, causes the processor to perform the steps in the misfire monitoring method according to various embodiments of the present application.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present application have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not intended to be limited to the details disclosed herein as such.
The block diagrams of the devices, apparatuses, devices, systems referred to in this application are only illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
It is also noted that in the apparatus, devices and methods of the present application, the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent to the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description of the preferred embodiments is provided for the purpose of illustration only, and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Claims (13)
1. A misfire monitoring method of a thermal regeneration apparatus, comprising:
acquiring cylinder negative pressure state information of a drying cylinder in thermal regeneration equipment;
obtaining the outer wall temperature of the outer wall of the drying roller;
acquiring energy consumption state information of the thermal regeneration equipment;
generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information; and
and generating the fire monitoring reminding information when the fire prediction parameter is greater than or equal to a preset threshold value.
2. The misfire monitoring method as recited in claim 1, wherein generating the misfire monitoring reminder information when the misfire prediction parameter is greater than or equal to a preset threshold value includes:
and when the fire prediction parameter is greater than or equal to a first preset threshold value, generating first early warning information, wherein the first early warning information is used for indicating that the drying roller has fire risk.
3. The misfire monitoring method as recited in claim 1, wherein the cylinder negative pressure status information includes: a roller negative pressure state coefficient;
wherein, the acquiring the drum negative pressure state information of the drying drum in the thermal regeneration equipment comprises:
acquiring a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period; and
and generating the roller negative pressure state coefficient according to the roller negative pressure value.
4. The misfire monitoring method as recited in claim 3, wherein the acquiring a drum negative pressure value of a drying drum in the heat regenerating device for a preset time period includes:
acquiring an average negative pressure value of a roller negative pressure value of a drying roller in thermal regeneration equipment within a preset time period;
generating the roller negative pressure state coefficient according to the roller negative pressure value, including:
and generating the negative pressure state coefficient of the roller according to the average negative pressure value and a preset negative pressure state coefficient lookup table.
5. The misfire monitoring method as recited in claim 4, wherein the preset negative pressure status coefficient lookup table includes: acquiring a roller negative pressure range according to a plurality of average negative pressure values;
generating the preset negative pressure state coefficient lookup table according to the roller negative pressure range and a preset roller negative pressure weighted value;
Wherein, according to the average negative pressure value and a preset negative pressure state coefficient lookup table, generating the roller negative pressure state coefficient comprises:
and searching a section of the roller negative pressure range where the value is located in the preset negative pressure state coefficient lookup table according to the value of the average negative pressure value to obtain the roller negative pressure state coefficient.
6. The misfire monitoring method as recited in claim 1, wherein the acquiring the energy consumption state information of the thermal regeneration device includes:
acquiring the feeding speed, the fuel consumption speed and a preset weighting coefficient of the thermal regeneration equipment;
and generating the energy consumption state information according to the feeding speed, the fuel consumption speed and the preset weighting coefficient.
7. The misfire monitoring method as recited in claim 6, wherein the acquiring the feed speed of the thermal regeneration device comprises:
when the material flow signals of the elevator are obtained, the feeding frequencies of a plurality of regeneration bins are respectively obtained; and
and calculating the feeding speed information according to the sum of the feeding frequencies.
8. The fire monitoring method according to claim 7, wherein the respectively acquiring the feeding frequencies of the plurality of regeneration bins includes:
When a feeding material flow signal of any regeneration bin is obtained, according to the feeding material flow signal, the feeding frequency of the regeneration bin corresponding to the feeding material flow signal is generated.
9. The fire monitoring method according to claim 7, wherein the respectively acquiring the feeding frequencies of the plurality of regeneration bins includes:
and when the feeding stream signals of the regeneration bins are not acquired, generating that the feeding frequency of the regeneration bins is zero.
10. The misfire monitoring method as recited in claim 6, wherein the acquiring the feed speed of the thermal regeneration device comprises:
and when the hoister material flow signal is not acquired, generating that the feeding speed of the thermal regeneration equipment is zero.
11. The misfire monitoring method according to claim 2, further comprising, after generating first early warning information when the misfire prediction parameter is greater than or equal to a first preset threshold value:
when the fire prediction parameter is greater than or equal to a second preset threshold value, generating first control information and second early warning information, wherein the first control information is used for controlling the shutdown of the thermal regeneration equipment; the second early warning information is used for indicating that the drying roller has a fire risk;
Wherein the second preset threshold is greater than the first preset threshold.
12. A misfire monitoring apparatus of a thermal regeneration device, characterized by comprising:
the data acquisition module is used for acquiring roller negative pressure state information of a drying roller in the thermal regeneration equipment, acquiring outer wall temperature of the outer wall of the drying roller and acquiring energy consumption state information of the thermal regeneration equipment;
the fire prediction parameter generation module is used for generating fire prediction parameters of the drying roller according to the roller negative pressure state information, the outer wall temperature and the energy consumption state information;
and the fire monitoring reminding module is used for generating fire monitoring reminding information when the fire prediction parameter is greater than or equal to a preset threshold value.
13. A thermal regeneration device, comprising:
a drying roller;
a burner for providing drying heat to the drying drum;
at least one regeneration bin;
a lifting machine communicated with the regeneration bin;
the measuring device is respectively and electrically connected with the drying roller, the burner, the regeneration bin and the elevator; and
the misfire monitoring device of a thermal regeneration apparatus of claim 12, the misfire monitoring device being communicatively coupled with the measurement device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110875244.4A CN113640022B (en) | 2021-07-30 | 2021-07-30 | Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110875244.4A CN113640022B (en) | 2021-07-30 | 2021-07-30 | Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113640022A CN113640022A (en) | 2021-11-12 |
CN113640022B true CN113640022B (en) | 2024-01-12 |
Family
ID=78419138
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110875244.4A Active CN113640022B (en) | 2021-07-30 | 2021-07-30 | Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113640022B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115406483A (en) * | 2022-08-04 | 2022-11-29 | 国网湖北省电力有限公司黄龙滩水力发电厂 | Hydroelectric generating set fault identification method, device, equipment and readable storage medium |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007089615A (en) * | 2005-09-27 | 2007-04-12 | Nikko Co Ltd | Method and apparatus of extinguishing fire in asphalt mixture manufacturing apparatus |
JP2007092286A (en) * | 2005-09-27 | 2007-04-12 | Nikko Co Ltd | Fire prevention method for asphalt mixture manufacturing equipment |
FR2918164A1 (en) * | 2007-06-29 | 2009-01-02 | Solios Environnement Sa | METHOD OF MONITORING A SMOKE DUCT CONNECTING A COOKING FURNACE OF CARBON BLOCKS TO A FUME TREATMENT CENTER |
DE202011109442U1 (en) * | 2011-12-23 | 2012-03-15 | Siegmar Heinzel | Asphalt processing plant with power limitation device |
CN202730594U (en) * | 2012-08-22 | 2013-02-13 | 福建南方路面机械有限公司 | Asphalt thermal regeneration expansion cylinder fireproofing and pre-warning system |
CN202989734U (en) * | 2012-11-02 | 2013-06-12 | 华侨大学 | Detection and control system of drying system of asphalt thermal regenerating device |
DE202015003809U1 (en) * | 2015-04-15 | 2015-08-26 | Fritz Curtius | Clothes dryer with fire protection upgrade |
JP2016180283A (en) * | 2015-03-25 | 2016-10-13 | 日工株式会社 | Drier of asphalt plant |
CN108797272A (en) * | 2018-05-03 | 2018-11-13 | 南京同力建设集团股份有限公司 | A kind of burner and its control method of twin-roll heat regeneration asphalt concrete mixing machine |
CN209890998U (en) * | 2019-03-22 | 2020-01-03 | 西安公路研究院 | Regenerated asphalt mixture blender alarm system |
CN111041941A (en) * | 2019-12-31 | 2020-04-21 | 三一汽车制造有限公司 | Method for adjusting negative pressure of drying roller of asphalt station, asphalt station and storage medium |
CN111139711A (en) * | 2020-02-24 | 2020-05-12 | 山东省路桥集团有限公司 | Hot regeneration anti-sticking roller for asphalt mixture plant mixing and regeneration equipment |
CN112156568A (en) * | 2020-09-22 | 2021-01-01 | 福建泉成机械有限公司 | Control method of cloth bag dust removal negative pressure associated combustor |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7923992B2 (en) * | 2004-03-25 | 2011-04-12 | Targosz Thomas C | Inspection of asphalt during manufacturing |
-
2021
- 2021-07-30 CN CN202110875244.4A patent/CN113640022B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007092286A (en) * | 2005-09-27 | 2007-04-12 | Nikko Co Ltd | Fire prevention method for asphalt mixture manufacturing equipment |
JP2007089615A (en) * | 2005-09-27 | 2007-04-12 | Nikko Co Ltd | Method and apparatus of extinguishing fire in asphalt mixture manufacturing apparatus |
FR2918164A1 (en) * | 2007-06-29 | 2009-01-02 | Solios Environnement Sa | METHOD OF MONITORING A SMOKE DUCT CONNECTING A COOKING FURNACE OF CARBON BLOCKS TO A FUME TREATMENT CENTER |
DE202011109442U1 (en) * | 2011-12-23 | 2012-03-15 | Siegmar Heinzel | Asphalt processing plant with power limitation device |
CN202730594U (en) * | 2012-08-22 | 2013-02-13 | 福建南方路面机械有限公司 | Asphalt thermal regeneration expansion cylinder fireproofing and pre-warning system |
CN202989734U (en) * | 2012-11-02 | 2013-06-12 | 华侨大学 | Detection and control system of drying system of asphalt thermal regenerating device |
JP2016180283A (en) * | 2015-03-25 | 2016-10-13 | 日工株式会社 | Drier of asphalt plant |
DE202015003809U1 (en) * | 2015-04-15 | 2015-08-26 | Fritz Curtius | Clothes dryer with fire protection upgrade |
CN108797272A (en) * | 2018-05-03 | 2018-11-13 | 南京同力建设集团股份有限公司 | A kind of burner and its control method of twin-roll heat regeneration asphalt concrete mixing machine |
CN209890998U (en) * | 2019-03-22 | 2020-01-03 | 西安公路研究院 | Regenerated asphalt mixture blender alarm system |
CN111041941A (en) * | 2019-12-31 | 2020-04-21 | 三一汽车制造有限公司 | Method for adjusting negative pressure of drying roller of asphalt station, asphalt station and storage medium |
CN111139711A (en) * | 2020-02-24 | 2020-05-12 | 山东省路桥集团有限公司 | Hot regeneration anti-sticking roller for asphalt mixture plant mixing and regeneration equipment |
CN112156568A (en) * | 2020-09-22 | 2021-01-01 | 福建泉成机械有限公司 | Control method of cloth bag dust removal negative pressure associated combustor |
Non-Patent Citations (4)
Title |
---|
MAP260玛莲尼沥青搅拌站燃烧***故障排除;梁东方;建设机械技术与管理;第23卷(第12期);全文 * |
Prevention of residential roof fires by use of a class "A" fire rated roof system;Edlich, Richard F 等;JOURNAL OF LONG-TERM EFFECTS OF MEDICAL IMPLANTS;第14卷(第2期);全文 * |
发动机缸压辨识及失火故障判断;吕志超;中国优秀硕士学位论文全文数据库工程科技II辑;全文 * |
沥青搅拌站控制***抗干扰性能分析;杨振华 等;南方农机;第49卷(第12期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN113640022A (en) | 2021-11-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7632059B2 (en) | Systems and methods for detecting undesirable operation of a turbine | |
CN103388834B (en) | Method and apparatus for controlling fuel processing system | |
CN113640022B (en) | Fire monitoring method and fire monitoring device for thermal regeneration equipment and thermal regeneration equipment | |
CA2877529C (en) | Radiometric measuring arrangement and method for detection of accretion formation in a radiometric measuring arrangement | |
EP1826364B1 (en) | Method for determining limit exceedance | |
US9733285B2 (en) | Dynamic thermal mapping | |
CN110706444A (en) | Comprehensive pyrolytic particle electrical fire monitoring method, device and system | |
Goodall et al. | A cyber physical system for tool condition monitoring using electrical power and a mechanistic model | |
CN109187619A (en) | Sulfur-related petrochemical equipment corrosion spontaneous combustion prediction method | |
CN116878860B (en) | Valve part stroke test system and test method | |
CN107575412B (en) | Fan control method, fan controller and wall-mounted furnace | |
WO2014128132A1 (en) | Monitoring system and method | |
KR102057439B1 (en) | Internet of things gas platform system performing remote-monitoring and remote-controlling and method thereof | |
CN116703252B (en) | Intelligent building information management method based on SaaS | |
CN110274844A (en) | The diagnostic method and device of drying process in sintering fuel granularmetric composition detection system | |
CN115366265B (en) | Self-adaptive water control method, device and system for mixing plant and mixing plant | |
JP7069812B2 (en) | Analytical liquid monitoring device | |
CN109599195A (en) | Monitoring system and monitoring method for primary Ioops cooling temperature Measurement channel | |
JPH04152220A (en) | Method and device for failure sensing | |
JP5159288B2 (en) | Condition monitoring device | |
KR102440902B1 (en) | Monitoring System and Method of Gas Type Fire Extinguisher | |
Streeton et al. | Erosion and Sand Detection Testing of a Subsea Multiphase Meter with Integrated Erosion Monitoring System | |
CN117853097B (en) | Full-automatic special gas supply cabinet touch control system and method | |
CN108709653A (en) | A kind of heating furnace board briquette detection method and terminal device | |
CN118135772B (en) | Method and system for monitoring and alarming running state of equipment in thermal power plant |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |