CN113640022A - Fire monitoring method and device for thermal regeneration equipment and thermal regeneration equipment - Google Patents
Fire monitoring method and device for thermal regeneration equipment and thermal regeneration equipment Download PDFInfo
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Abstract
The application provides a fire monitoring method and a fire monitoring device of thermal regeneration equipment and the thermal regeneration equipment, and solves the technical problems that in the prior art, the fire phenomenon of the thermal regeneration equipment cannot be predicted in advance, and the fire phenomenon is avoided. Generating fire prediction parameters by acquiring drum negative pressure state information, outer wall temperature and energy consumption state information of a drying drum of the thermal regeneration equipment, namely acquiring the running state of the thermal regeneration equipment; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameter and a preset threshold value; when the fire prediction parameter is judged to be larger than or equal to the preset threshold value, the fire risk exists, and fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and 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 a fire monitoring device of thermal regeneration equipment and the thermal regeneration equipment.
Background
The plant mixing hot recycling equipment is to transport the old asphalt pavement back to a mixing plant after milling and digging, then concentrate and crush the old asphalt pavement, carry out proportioning design according to the quality requirements of different levels of the pavement, heat the old asphalt, and then stir the old asphalt and other materials together to form a new mixed material. Because the heating and mixing of the old asphalt are carried out in the drying roller of the thermal regeneration equipment in the production process, the energy for drying and heating is required to be provided for the drying roller by a burner; therefore, when a user operation fails or equipment malfunctions, the thermal regeneration equipment may generate a fire phenomenon, which may not only pollute the environment but also even cause shutdown of the asphalt plant.
In the prior art, in order to solve the problem of fire occurrence of thermal regeneration equipment, a large amount of cold regeneration materials are usually added into the thermal regeneration equipment to cool the interior of the equipment, and open fire is extinguished through the cold regeneration materials if fire occurs; the method aims at the prevention and remedy measures after the fire phenomenon of the thermal regeneration equipment occurs, but cannot predict the fire phenomenon of the thermal regeneration equipment in advance, and avoids the fire phenomenon.
Disclosure of Invention
In view of this, the present application provides a fire monitoring method and a fire monitoring device for a thermal regeneration device, and a thermal regeneration device thereof, which solve the technical problem that the occurrence of a fire phenomenon of the thermal regeneration device cannot be predicted in advance and the occurrence of the fire phenomenon cannot be avoided in the prior art.
According to an aspect of the present application, a misfire monitoring method of a thermal regeneration apparatus includes: acquiring drum negative pressure state information of a drying drum in thermal regeneration equipment; acquiring the 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 fire monitoring reminding information when the fire prediction parameter is larger than or equal to a preset threshold value.
In one possible implementation manner, when the misfire prediction parameter is greater than or equal to a preset threshold value, generating 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 a fire risk.
In one possible implementation, the drum negative pressure state information includes: the coefficient of the negative pressure state of the roller; wherein, the acquiring the drum negative pressure state information of the drying drum in the heat regeneration device comprises: acquiring a drum negative pressure value of a drying drum in thermal regeneration equipment within a preset time length; and generating the roller negative pressure state coefficient according to the roller negative pressure value.
In one possible implementation manner, the obtaining of the drum negative pressure value of the drying drum in the thermal regeneration device in the preset time period includes: acquiring an average negative pressure value of drum negative pressure values of drying drums in thermal regeneration equipment within a preset time length; generating the roller negative pressure state coefficient according to the roller negative pressure value, wherein the generating comprises the following steps: and generating the roller negative pressure state coefficient according to the average negative pressure value and a preset negative pressure state coefficient lookup table.
In one possible implementation manner, the preset negative pressure state coefficient lookup table includes: acquiring a roller negative pressure range according to the 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 the interval of the roller negative pressure range in which 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 a possible implementation manner, the obtaining energy consumption state information of the thermal regeneration device includes: acquiring a feeding speed, a 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 a possible implementation manner, the obtaining the feeding speed of the thermal regeneration device includes: when a material flow signal of the hoister is obtained, respectively obtaining the feeding frequency of a plurality of regeneration bins; and calculating the feeding speed information according to the sum of the feeding frequencies.
In a possible implementation manner, the respectively obtaining the loading frequencies of the plurality of regeneration bins includes: and when the feeding material flow signal of any one regeneration bin is acquired, generating the feeding frequency of the regeneration bin corresponding to the feeding material flow signal according to the feeding material flow signal.
In a possible implementation manner, the respectively obtaining the loading frequencies of the plurality of regeneration bins includes: when the material loading flow signals of the plurality of regeneration bins are not acquired, the material loading frequency for generating the plurality of regeneration bins is zero.
In a possible implementation manner, the obtaining the feeding speed of the thermal regeneration device includes: when the material flow signal of the elevator is not acquired, the feeding speed of the thermal regeneration equipment is zero.
In one possible implementation, after generating the first warning information when the misfire prediction parameter is greater than or equal to a first preset threshold, the method further includes: when the misfire prediction parameter is larger 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 thermal regeneration equipment to stop; 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.
As a second aspect of the present application, a misfire monitoring apparatus of a thermal regeneration apparatus includes: the data acquisition module is used for acquiring drum negative pressure state information of a drying drum in thermal regeneration equipment, acquiring the outer wall temperature of the outer wall of the drying drum 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 heat regeneration apparatus includes: drying the roller; a burner for providing drying heat to the drying drum; at least one regeneration bin; the lifting machine is communicated with the regeneration bin; the measuring device is electrically connected with the drying roller, the combustor, the regeneration bin and the hoister respectively; and the fire monitoring device of the thermal regeneration equipment is in communication connection with the measuring device.
In one possible implementation, the measurement apparatus includes: a flow meter disposed on the combustor for detecting a rate of fuel consumption within the combustor; the negative pressure sensor is arranged on the drying roller and used for detecting the negative pressure value of the drying roller; the temperature sensor is arranged above the drying roller and used for detecting the temperature of the outer wall of the drying roller; a first material flow sensor disposed on the regeneration bin, the first material flow sensor for detecting a loading frequency within the regeneration bin; a second flow sensor disposed on the elevator, the second flow sensor for detecting a flow frequency within the elevator; and the fire monitoring device is respectively in communication connection with the flow meter, 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 apparatus includes: a processor; and a memory for storing the processor executable information; wherein the processor is configured to execute the misfire monitoring method of the thermal regeneration apparatus as claimed above.
As a fifth aspect of the present application, a computer-readable storage medium stores 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 roller negative pressure state information, the outer wall temperature and the energy consumption state information of the drying roller of the thermal regeneration equipment, namely acquiring the running state of the thermal regeneration equipment; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameter and a preset threshold value; when the fire prediction parameter is judged to be larger than or equal to the preset threshold value, the fire risk exists, and fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and the fire phenomenon of the thermal regeneration equipment is avoided.
Drawings
FIG. 1 is a schematic flow chart illustrating a misfire monitoring method for thermal regeneration equipment provided herein;
FIG. 2 is a schematic flow chart illustrating another method for misfire monitoring of thermal regeneration apparatus provided herein;
FIG. 3 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 4 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 5 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 6 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 7 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 8 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 9 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 10 is a schematic flow chart illustrating another method for misfire monitoring of the thermal regeneration apparatus provided herein;
FIG. 11 is a schematic flow chart illustrating another misfire monitoring method for thermal regeneration equipment provided herein;
FIG. 12 is a schematic diagram illustrating the operation of a misfire monitoring apparatus of a thermal regeneration apparatus according to the present application;
FIG. 13 is a schematic structural diagram of a heat recovery device according to the present application;
fig. 14 is a schematic diagram illustrating an operation of an electronic device according to the present application.
Detailed Description
In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indicators in the embodiments of the present application (such as upper, lower, left, right, front, rear, top, bottom … …) are only used to explain the relative positional relationship between the components, the movement, etc. in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Furthermore, reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
FIG. 1 is a schematic flow diagram illustrating a misfire monitoring method for thermal regeneration equipment according to the present application, as shown in FIG. 1, the misfire monitoring method comprising:
step S101, obtaining drum negative pressure state information of a drying drum in thermal regeneration equipment;
wherein, the drying roller is heated by a 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, high-temperature gas stably passes through the roller, and the drying effect reaches the best; 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 combustor in the thermal regeneration equipment is too high; therefore, step S101 is executed to obtain drum negative pressure state information of the drying drum;
step S102, obtaining the outer wall temperature of the outer wall of the drying roller;
since the temperature of the drying drum may affect the wrapping property of the material, the drying drum is controlled to have a proper temperature for the material to have a better wrapping property, and the drying drum catches fire when the temperature is too high, the step S102 is executed to obtain the temperature of the outer wall of the drying drum;
step S103, acquiring energy consumption state information of the thermal regeneration equipment;
step S103, calculating the fuel supply amount and the fuel utilization rate of the burner to the drying drum by acquiring the energy consumption state information of the heat 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 roller according to the roller 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 or not;
when the judgment result in the step S105 is yes, that is, the misfire prediction parameter is greater than or equal to the preset threshold value, that is, it indicates that the drying drum has the misfire risk, therefore, the misfire monitoring reminding information is generated. Namely, executing step S106;
step S106, generating fire monitoring reminding information;
step S105, judging according to the fire prediction parameter and a preset threshold value, wherein the preset threshold value is correspondingly selected according to the safe use specification of the thermal regeneration equipment; when the fire prediction parameter is judged to be greater than or equal to the preset threshold value, the fire risk exists at the moment, and step S106 is used for generating fire monitoring reminding information and predicting the implementation 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 value, that is, it indicates that there is no misfire risk temporarily in the drying drum at this time, therefore, the detection of the usage state of the drying drum is continued, that is, the steps S101 to S106 are continued.
According to the fire monitoring method of the thermal regeneration equipment, the fire prediction parameters are generated by acquiring the roller negative pressure state information, the outer wall temperature and the energy consumption state information of the drying roller of the thermal regeneration equipment, namely acquiring the running state of the thermal regeneration equipment; judging the fire risk of the thermal regeneration equipment according to the fire prediction parameter and a preset threshold value; when the fire prediction parameter is judged to be larger than or equal to the preset threshold value, the fire risk exists, and fire monitoring reminding information is generated, so that the fire risk of the thermal regeneration equipment is predicted in advance, and the fire phenomenon of the thermal regeneration equipment is avoided.
In one possible implementation manner, the flowchart of another misfire monitoring method for thermal regeneration equipment provided by the present application shown in fig. 2 includes, as shown in fig. 2, in step S105 (when the misfire prediction parameter is greater than or equal to the preset threshold value) and step S106 (generating the misfire monitoring reminding information):
step S1051, judging whether the fire prediction parameter is larger than or equal to a first preset threshold value;
when the judgment result in the step S1051 is yes, that is, the misfire prediction parameter is greater than or equal to the preset threshold value, that is, it indicates that the drying drum has the misfire risk, therefore, first warning information is generated for reminding the user that the drying drum has the misfire risk, that is, the step S1061 is performed;
step S1061 generates first warning information, where the first warning information is used to indicate 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 at this time step S1061 is to generate first warning information, where the first warning information is used to indicate that the drying drum has the fire risk. After knowing that the thermal regeneration equipment has the fire risk through first early warning information sent by a display or a buzzer, a user processes the thermal regeneration equipment, for example, the pressure of a drying roller, the burning flame of a burner, the fuel consumption speed, the feeding speed and the like are adjusted to avoid the fire risk, so that the thermal regeneration equipment normally operates, 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 value, that is, it indicates that there is no misfire risk temporarily in the drying drum at this time, therefore, the detection of the usage state of the drying drum is continued, that is, the steps S101 to S1061 are continued.
In a possible implementation manner, fig. 3 is a schematic flow chart of a misfire monitoring method for another thermal regeneration apparatus provided by the present application, as shown in fig. 3, since the drum negative pressure state fluctuates in real time, the drum negative pressure state information is determined by a drum negative pressure state coefficient in order to obtain more accurate drum negative pressure state information;
in step S101 (obtaining drum negative pressure state information of the drying drum in the thermal regeneration apparatus), the method includes:
step S1011, the roller negative pressure state information comprises a roller negative pressure state coefficient; acquiring a drum negative pressure value of a drying drum in thermal regeneration equipment within a preset time length;
step S1011 is to obtain the drum negative pressure value of the drying drum within a time period of a preset time length;
step S1012, generating a roller negative pressure state coefficient according to the roller negative pressure value;
step S1012 is to generate a drum negative pressure state coefficient according to the drum negative pressure value of step S1011, and further obtain drum negative pressure state information, so as to obtain the negative pressure state information of the drying drum according to the drum 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, the flowchart of another fire monitoring method for a thermal regeneration apparatus provided by the present application in step S1011 (acquiring a drum negative pressure value of a drying drum in the thermal regeneration apparatus for a preset time period), includes:
step S10111, obtaining an average negative pressure value of drum negative pressure values of drying drums in the thermal regeneration equipment within a preset time period;
step S10111 is that because the negative pressure value fluctuation range of the drying drum is large, the average negative pressure value of the drum negative pressure value within the preset time length is obtained, so that the monitored state information data of the drying drum is more accurate;
in step S1012 (generating the drum negative pressure state coefficient according to the drum negative pressure value), the method includes:
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 precise roller negative pressure state coefficient generated 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 the misfire phenomenon of the thermal regeneration equipment can be precisely predicted.
In a possible implementation manner, fig. 5 is a schematic flow chart of a misfire monitoring method for another thermal regeneration apparatus provided by the present application, and as shown in fig. 5, the preset negative pressure condition coefficient lookup table includes:
step S101211, acquiring a drum negative pressure range according to the average negative pressure values;
step S101211 is to arrange a 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, and the like;
step S101212, generating a preset negative pressure state coefficient lookup table according to the roller negative pressure range and a preset roller negative pressure weighted value;
step S101212 is to obtain a lookup table of preset negative pressure state coefficients according to the drum negative pressure range obtained in step S101211 and preset drum negative pressure weighted values, wherein the preset drum negative pressure weighted values are a1, a2, a3 and the like 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 weighted value of the drum negative pressure over a plurality of time periods, specifically, as shown in table 1.
| Negative pressure range (mmh20) | 0≤P＜5 | 5≤P＜10 | 10≤P＜15 | 15≤P＜20 | 20≤P |
| Coefficient of negative pressure of drum | a1 | a2 | a3 | a4 | a5 |
TABLE 1
Step S10121 (generating a drum negative pressure state coefficient from the average negative pressure value and the preset negative pressure state coefficient lookup table) includes:
step S101213, according to the value of the average negative pressure value, searching the interval of the roller negative pressure range in which the value is located in a preset negative pressure state coefficient lookup table to obtain the roller negative pressure state coefficient;
step S101213 is to find the section of the drum negative pressure range in which the value is located in the preset negative pressure state coefficient lookup table according to the value of the average negative pressure value, that is, the drum negative pressure state coefficient; for example, the obtained average negative pressure value is 1.5, the interval of the roller negative pressure range corresponding to 1.5 is found in the preset negative pressure state coefficient lookup table to be 0 ≦ P < 5, and the roller negative pressure state coefficient is a 1. Because the problem that the roller negative pressure value and the fire risk are not in a linear relation is solved, the numerical value of the average negative pressure value is obtained, the interval of the roller negative pressure range where the numerical value is located is searched in the preset negative pressure state coefficient lookup table, the roller negative pressure state coefficient is generated, the phenomenon that the error of the roller negative pressure value prediction fire prediction parameter is overlarge is avoided, and therefore the fire risk can be accurately predicted.
In one possible implementation, the preset time period t1 is less than or equal to 1 minute; because the heat regeneration equipment is stored in the regeneration bin and is conveyed to the drying roller through the hoister, the combustor provides fuel for the drying roller, and when the drying roller heats and dries the materials, the process is about 30-40 seconds, so that the preset time is selected to be less than or equal to 1 minute, and the heat regeneration equipment can be accurately monitored.
Optionally, the preset time period t1 is equal to 1 minute; the running state of the thermal regeneration equipment of a flow that the material enters into the drying roller from the regeneration silo to heat and dry can be obtained, and the monitoring of the fire phenomenon of the thermal regeneration equipment is more timely and accurate.
In a possible implementation manner, fig. 6 is a schematic flow chart of a misfire monitoring method for another thermal regeneration apparatus provided by the present application, and as shown in fig. 6, in step S103 (acquiring energy consumption status information of the thermal regeneration apparatus), the method includes:
step S1031, obtaining a feeding speed, a fuel consumption speed and a preset weighting coefficient of the heat regeneration equipment;
step S1031 is to measure the consumption state of the thermal regeneration equipment in real time through the feeding speed and the fuel consumption speed of the thermal regeneration equipment, and correct the measured consumption state information through the weighting coefficient, so that the obtained feeding speed and the fuel consumption speed are more accurate;
and step S1032, generating energy consumption state information according to the feeding speed, the fuel consumption speed and a preset weighting coefficient.
Step S1032 is the energy consumption status information generated according to the feeding speed, the fuel consumption speed, and the weighting coefficient of step S1031, and the energy consumption status information is more accurate, so that the misfire phenomenon of the thermal regeneration equipment can be accurately predicted.
In a possible implementation manner, fig. 7 is a schematic flow chart of a misfire monitoring method for a thermal regeneration device provided by the present application, and as shown in fig. 7, in step S1031 (obtaining a loading speed, a fuel consumption speed and a preset weighting coefficient of the thermal regeneration device), where obtaining loading speed information of the thermal regeneration device includes:
step S10311, judging whether the elevator obtains a material flow signal or not,
when the step S10311 is yes, when the elevator material flow signal is obtained, it indicates that the elevator is performing the work of delivering the material to the drying drum, since the frequency of delivering the material to the drying drum by the elevator is fixed, and the frequency of the regeneration bin is not fixed, the loading speed of the thermal regeneration device is obtained by obtaining the loading information of the regeneration bin, that is, the step S10312 is performed,
step S10312, respectively obtaining loading frequency information of a plurality of regeneration bins;
step S10312 is to obtain the loading frequency information of the plurality of regeneration bins, and since the loading frequency information of each regeneration bin is not fixed, calculation needs to be performed on each regeneration bin, that is, step S10313 is performed;
step S10313, calculating and generating a feeding speed according to the sum of the plurality of feeding frequency information;
step S10313 is to add and calculate a plurality of feeding frequency information to generate feeding speed information; the feeding speed information is used as one of the conditions for generating the early warning parameters. Therefore, when the elevator detects a signal, the feeding speed is obtained by adding and calculating 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;
step S10314, acquiring the fuel consumption rate of the heat regeneration device and a preset weighting coefficient.
In a possible implementation manner, fig. 8 is a schematic flow chart of a misfire monitoring method for thermal regeneration equipment provided by the present application, and as shown in fig. 8, in step S10312 (acquiring loading frequency information of a plurality of regeneration bins respectively), where acquiring the loading frequency of a regeneration bin includes:
step 103121, when the feeding material flow signal of any one regeneration bin is obtained, generating the feeding frequency of the regeneration bin corresponding to the feeding material flow signal according to the feeding material flow signal;
step S103121 is a step of generating a loading frequency of each regeneration bin according to the obtained loading material flow signal when the loading material flow signal of any regeneration bin is obtained, where the loading material flow signal indicates that the regeneration bin is performing material conveying work at the time, and the loading frequency is used for calculating a loading speed; and obtaining information of a plurality of loading frequencies in the same manner, calculating the loading frequencies of the plurality of regeneration bins to generate loading speeds, and executing step S10313.
In a possible implementation manner, fig. 9 is a schematic flow chart of a misfire monitoring method for thermal regeneration equipment provided by the present application, and as shown in fig. 9, in step S10312 (acquiring loading frequency information of a plurality of regeneration bins respectively), where acquiring the loading frequency of a regeneration bin includes:
step 103122, when the material loading flow signals of the plurality of regeneration bins are not obtained, generating that the material loading frequency of the plurality of regeneration bins is zero;
step 103122 is that when the material loading flow signals of the plurality of regeneration bins are not obtained, it is indicated that no material is output in the regeneration bins or the regeneration bins are in failure at this time, and the material loading frequency of the generated regeneration bins is zero; adding the obtained feeding frequencies of the plurality of regeneration bins, and calculating to obtain feeding speed information;
specifically, it should be understood that, assuming two regeneration bins in the thermal regeneration device, when one of the regeneration bins does not detect the loading information, the loading frequency at this time is 0; the other regeneration bin detects the feeding information, and the feeding frequency of the regeneration bin is 20; 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, fig. 10 is a schematic flow chart of a misfire monitoring method for a thermal regeneration apparatus provided by the present application, and as shown in fig. 10, in step S1031 (obtaining a loading speed, a fuel consumption speed and a preset weighting coefficient of the thermal regeneration apparatus), where obtaining the loading speed of the thermal regeneration apparatus includes:
step S10311, judging whether the elevator obtains a material flow signal or not,
when the judgment in the step S10311 is no, that is, a material flow signal of the elevator is not obtained, at this time, the elevator may be blocked, or the elevator is empty, or the elevator fails, and the elevator does not convey the material to the drying drum; the feeding speed of the thermal regeneration equipment is zero, and step S1035 is executed;
step S10315, the feeding speed of the generated heat regeneration equipment is zero;
step S101315, feeding the material from a regenerated material bin of the thermal regeneration equipment into a drying roller for heating and drying, wherein the material needs to be conveyed by a lifter, when the material of the lifter does not obtain a material flow signal, the lifter may be blocked, or the lifter is empty or the lifter fails, and the lifter does not convey the material to the drying roller, so that the drying roller has a fire risk; therefore, at this time, the feeding speed of the thermal regeneration equipment is zero, and the generated misfire prediction parameters can be accurate.
In a possible implementation manner, as shown in fig. 11, after step S1051 (determining whether a misfire prediction parameter is greater than or equal to a first preset threshold value) and step S1061 (generating first warning information), and after step S1051 (determining whether a misfire prediction parameter is greater than or equal to a first preset threshold value), generating misfire monitoring reminding information when the misfire prediction parameter is greater than or equal to the preset threshold value, the misfire monitoring method further includes:
step S1052, determining whether the misfire prediction parameter is greater than or equal to a second preset threshold value,
when the step S1052 is yes, that is, the misfire prediction parameter is greater than or equal to the second preset threshold value, that is, it indicates that the drying drum reaches the misfire critical value, that is, the misfire is about to occur, so that the first control information and the second warning information are generated, that is, the 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 thermal regeneration equipment to stop, and the second early warning information is used for indicating that the drying roller has fire risk;
step S1062, judging that the drying roller is about to fire according to the step S1052, controlling equipment to stop through the first control information to protect the thermal regeneration equipment, and prompting a user that the drying roller has a fire risk through the second early warning information;
and the second preset threshold is greater than the first preset threshold.
Step S1052 is that when the first warning information is generated in step S1051, after the thermal regeneration device is prompted to have a fire risk, the user does not take corresponding measures to reduce the fire risk, and at this time, the thermal regeneration device still has a fire risk; when the misfire prediction parameter is judged to be greater than or equal to a second preset threshold value in step S1052, the second preset threshold value is greater than the first preset threshold value, which indicates that the thermal regeneration equipment reaches the critical value of the misfire prediction parameter, and if the continuous operation will cause the misfire phenomenon of the thermal regeneration equipment, at this time, first control information is generated for controlling the thermal regeneration equipment to stop and protecting the thermal regeneration equipment; meanwhile, second early warning information is generated, and the user is reminded that the fire risk of the drying roller of the thermal regeneration equipment is about to occur to the fire phenomenon again; therefore, the fire risk phenomenon of the drying roller of the thermal regeneration equipment is pre-warned, predicted and monitored twice, and when the running state of the thermal regeneration equipment is in the critical state of the fire phenomenon, automatic shutdown protection is carried out, so that the fire phenomenon of the thermal regeneration equipment is avoided.
In a second aspect of the present application, fig. 12 is an operation schematic 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 includes: the data acquisition module 1 is used for acquiring drum negative pressure state information of a drying drum in the thermal regeneration equipment, acquiring the outer wall temperature of the outer wall of the drying drum and acquiring 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; and 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 the preset threshold value. When monitoring the running heat regeneration equipment, the data acquisition module 1 acquires drum negative pressure state information, outer wall temperature and energy consumption state information of the drying drum; 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 according to the fire prediction parameter of the fire prediction parameter generating module 2 and a preset threshold value, and generates fire monitoring reminding information for reminding a user that the thermal regeneration equipment has the risk of fire occurrence when the fire prediction parameter is larger than or equal to the preset threshold value, so that the occurrence of the phenomenon of the thermal regeneration equipment is predicted in advance, and the risk of fire occurrence is avoided.
In one possible implementation, the fire monitoring and reminding module 3 includes: and the fire prediction module is used for generating first early warning information when the fire prediction parameter is greater than or equal to a first preset threshold value, wherein the first early warning information is used for indicating that the drying drum has the fire risk. The fire monitoring and reminding module 3 judges according to the fire prediction parameter of the fire prediction parameter generating module 2 and a preset threshold value, and when the fire prediction parameter is larger than or equal to the first preset threshold value, first early warning information is generated to indicate that the drying roller has a fire risk, so that the fire risk of the equipment is avoided.
In one possible implementation, the data acquisition module 1 comprises: the device is used for acquiring the drum negative pressure value of the drying drum in the thermal regeneration equipment within a preset time length; and generating the roller negative pressure state coefficient according to the roller negative pressure value, wherein the roller negative pressure state information comprises: and (4) the coefficient of the negative pressure state of the roller. Since the drum negative pressure state is fluctuated in real time, the drum negative pressure state information includes: the drum negative pressure state coefficient, then, the data acquisition module 1 is used for acquiring a drum negative pressure value of a drying drum in the thermal regeneration equipment within a preset time length; and generating the roller negative pressure state coefficient as roller negative pressure state information according to the roller negative pressure value.
In one possible implementation, the data acquisition module 1 further includes: the device comprises a control module, a control module and a control module, wherein the control module is used for obtaining an average negative pressure value of drum negative pressure values of drying drums in thermal regeneration equipment within a preset time length; generating a roller negative pressure state coefficient according to the roller negative pressure value; the obtained roller negative pressure state coefficient is more accurate, so that the fire prediction parameter value is more accurate.
In one possible implementation, the data acquisition module 1 further includes: the system is used for acquiring the feeding speed, the fuel consumption speed and a preset weighting coefficient of the 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 thermal regeneration equipment can be accurately predicted.
In one possible implementation, the data acquisition module 1 further includes: the device comprises a plurality of regeneration bins, a controller and a processing unit, wherein the regeneration bins are used for respectively acquiring loading frequency information of the plurality of regeneration bins when a material flow signal of the elevator is acquired; and calculating a feeding speed according to the sum of the plurality of feeding frequencies; the feeding speed information is used as one of the conditions for generating the early warning parameters.
In one possible implementation, the data acquisition module 1 further includes: the feeding frequency of the regeneration bins corresponding to the feeding material flow signal is generated according to the feeding material flow signal when the feeding material flow signal of any one regeneration bin is acquired; the data acquisition module 1 is used for generating a loading frequency of the regeneration bin according to the loading material flow signal, and the loading frequency is used for calculating a loading speed.
In one possible implementation, the data acquisition module 1 further includes: and when the feeding material flow signals of the plurality of regeneration bins are not acquired, the feeding frequency for generating the plurality of regeneration bins is zero. When the data acquisition module 1 does not acquire the feeding material flow signal of the regeneration bin, it indicates that no material is output in the regeneration bin or the regeneration bin is in fault at the moment, and the feeding frequency of the regeneration bin is zero.
In one possible implementation, the data acquisition module 1 further includes: and when the material flow signal is not acquired by the elevator, the feeding speed of the heat regeneration equipment is zero. When the data acquisition module 1 does not acquire the material flow signal, the specification regeneration silo does not convey the material, the hoister does not convey the material to the drying roller, and the drying roller has the fire risk at the moment.
In one possible implementation, the fire monitoring and reminding module 3 further includes: when the misfire prediction parameter is larger 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 heat regeneration equipment to stop; the second early warning information is used for indicating that the drying roller has fire risks; and the second preset threshold is greater than the first preset threshold. The first control information is used for controlling the equipment to stop to protect the heat regeneration equipment, and the second early warning information is used for prompting a user that the drying roller has a fire risk.
In a third aspect of the present application, fig. 13 is a schematic structural diagram of a thermal regeneration apparatus provided in the present application, and as shown in fig. 13, the thermal regeneration apparatus includes: a drying drum 11; the drying drum 11 is used for heating and drying materials; a burner 12 for supplying drying heat to the drying drum; at least one regeneration bin 16; a hoist 18 communicating with the regeneration bin 16; a measuring device (not shown in fig. 12) electrically connected to the drying drum 11, the burner 12, the recycling bin 16, and the elevator 18, respectively; and the fire monitoring device of the thermal regeneration equipment is connected with the measuring device in a communication way. In the working process of the heat regeneration equipment, the measuring device is used for acquiring the roller negative pressure state information of the drying roller 11 and the outer wall temperature of the outer wall of the drying roller; acquiring energy consumption state information of the combustor 12, the regeneration bin 16 and the hoister 18; the fire monitoring device executes a fire monitoring method according to the data information of the drying drum 11, the burner 12, the reclaimed material bin 16 and the elevator 18 acquired by the measuring device, so as to avoid the risk of fire, wherein the fire monitoring method is explained above and is not repeated 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 being for detecting a fuel consumption rate in the combustor 12; a negative pressure sensor 14 arranged on the drying roller 11, wherein the negative pressure sensor 14 is used for detecting the negative pressure value of the drying roller 11; the temperature sensor 15 is arranged above the drying roller 11, and the temperature sensor 15 is used for detecting the temperature of the outer wall of the drying roller; a first material flow sensor 17 disposed on the regeneration bin 16, the first material flow sensor 17 for detecting a feeding frequency within the regeneration bin 16; a hoist 18 communicating with the regeneration bin 16; a second flow sensor 19 provided on the hoist 18, the second flow sensor 19 for detecting a flow frequency within the hoist 18; and a misfire monitoring apparatus of the thermal regeneration device, which has been explained above and is not described herein again; the misfire monitoring device is in communication with 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 thermal 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 for heating and drying, the burner 12 provides drying heat for the drying roller 11, so that the materials of the drying roller 11 are heated and dried, the running state of the burner 12, the drying roller 11, the regeneration bin 16 and the lifting machine 18 is monitored in real time through the flow meter 13 arranged on the burner 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 thermal regeneration equipment is obtained in real time, the fire monitoring device predicts the fire catching risk of the thermal regeneration equipment in advance according to the monitored running state of the thermal regeneration equipment, and avoids fire catching of the thermal regeneration equipment, the safe operation 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 capabilities and/or information execution capabilities, and may control other components in the electronic device 600 to perform desired functions.
Memory 601 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), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program information may be stored on the computer readable storage medium and executed by the processor 601 to implement the misfire monitoring methods or other desired functionality of the various embodiments of the application described above.
In one example, the electronic device 600 may further include: an input device 603 and an 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 kinds of information to the outside. The output means 604 may comprise, for example, a display, a communication network, a remote output device connected thereto, and the like.
Of course, for the sake of simplicity, only some of the components related to the present application in the electronic device 600 are shown in fig. 14, and components such as a bus, an input/output interface, and the like are omitted. In addition, electronic device 600 may include any other suitable components depending on the particular application.
In addition to the above-described methods and apparatus, 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 methods according to the various embodiments of the present application described in the present specification.
The computer program product may be written with 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 and 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 having stored thereon computer program information which, when executed by a processor, causes the processor to perform the steps in the misfire monitoring methods of the present specification according to various embodiments of the present application.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but 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 include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of 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 above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and any modifications, equivalents and the like that are within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (13)
1. A misfire monitoring method of a thermal regeneration apparatus, characterized by comprising:
acquiring drum negative pressure state information of a drying drum in thermal regeneration equipment;
acquiring the 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 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 misfire monitoring reminder information when the misfire prediction parameter is greater than or equal to a preset threshold value comprises:
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 a fire risk.
3. The misfire monitoring method as recited in claim 1, wherein the roller negative pressure condition information comprises: the coefficient of the negative pressure state of the roller;
wherein, the acquiring the drum negative pressure state information of the drying drum in the heat regeneration device comprises:
acquiring a drum negative pressure value of a drying drum in thermal regeneration equipment within a preset time length; and
and generating the roller negative pressure state coefficient according to the roller negative pressure value.
4. The fire monitoring method of claim 3, wherein the obtaining of the drum negative pressure value of the drying drum in the thermal regeneration device for the preset duration comprises:
acquiring an average negative pressure value of drum negative pressure values of drying drums in thermal regeneration equipment within a preset time length;
generating the roller negative pressure state coefficient according to the roller negative pressure value, wherein the generating comprises the following steps:
and generating the roller negative pressure state coefficient 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 condition coefficient lookup table comprises: acquiring a roller negative pressure range according to the 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 the interval of the roller negative pressure range in which 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 obtaining energy consumption status information of the thermal regeneration device comprises:
acquiring a feeding speed, a 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 obtaining a loading speed of the thermal regeneration device comprises:
when a material flow signal of the hoister is obtained, respectively obtaining the feeding frequency of a plurality of regeneration bins; and
and calculating the feeding speed information according to the sum of the feeding frequencies.
8. The misfire monitoring method as recited in claim 7, wherein the separately obtaining the loading frequencies of the plurality of regeneration bins comprises:
and when the feeding material flow signal of any one regeneration bin is acquired, generating the feeding frequency of the regeneration bin corresponding to the feeding material flow signal according to the feeding material flow signal.
9. The misfire monitoring method as recited in claim 7, wherein the separately obtaining the loading frequencies of the plurality of regeneration bins comprises:
when the material loading flow signals of the plurality of regeneration bins are not acquired, the material loading frequency for generating the plurality of regeneration bins is zero.
10. The misfire monitoring method as recited in claim 6, wherein the obtaining a loading speed of the thermal regeneration device comprises:
when the material flow signal of the elevator is not acquired, the feeding speed of the thermal regeneration equipment is zero.
11. The misfire monitoring method as recited in claim 2, further comprising, after generating first warning information when the misfire prediction parameter is greater than or equal to a first preset threshold value:
when the misfire prediction parameter is larger 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 thermal regeneration equipment to stop; 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.
12. A misfire monitoring apparatus of a thermal regeneration device, characterized by comprising:
the data acquisition module is used for acquiring drum negative pressure state information of a drying drum in thermal regeneration equipment, acquiring the outer wall temperature of the outer wall of the drying drum 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 apparatus, comprising:
drying the roller;
a burner for providing drying heat to the drying drum;
at least one regeneration bin;
the lifting machine is communicated with the regeneration bin;
the measuring device is electrically connected with the drying roller, the combustor, the regeneration bin and the hoister respectively; and
misfire monitoring apparatus of a thermal regeneration apparatus as recited in claim 12 communicatively coupled to the measuring device.
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| 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 |
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| 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 |
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| 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 |
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| CN113640022B (en) | 2024-01-12 |
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