CN112460735A - Safety monitoring system for high-performance metal material processing workshop - Google Patents

Safety monitoring system for high-performance metal material processing workshop Download PDF

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CN112460735A
CN112460735A CN202011383174.2A CN202011383174A CN112460735A CN 112460735 A CN112460735 A CN 112460735A CN 202011383174 A CN202011383174 A CN 202011383174A CN 112460735 A CN112460735 A CN 112460735A
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data
metal material
material processing
cleanliness
humidity
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李松
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Anhui Junyang Information Technology Co ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/88—Electrical aspects, e.g. circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity

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  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
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Abstract

The invention discloses a safety monitoring system for a high-performance metal material processing workshop, belongs to the technical field of high-performance metal material processing, and comprises a signal acquisition module, a signal processing module and an execution module. According to the invention, through the arranged signal acquisition module, all indexes in the high-performance metal material processing workshop can be conveniently acquired; through the arranged execution module, each index in the high-performance metal material processing workshop can be respectively adjusted, so that each index range is within the range of the production process requirement of the high-performance metal material, the quality of a finished product of the high-performance metal material is improved, and the qualification rate is improved; by regional acquisition and comparison, judgment and adjustment according to the mode of weight setting according to the distance, the weights of the edge region and the core region are reasonably distributed, and the adjustment range of the indexes of the core region can be reduced during adjustment, so that the energy consumption during adjustment of the core region is reduced, and the production cost expenditure is effectively reduced.

Description

Safety monitoring system for high-performance metal material processing workshop
Technical Field
The invention relates to the technical field of high-performance metal material processing, in particular to a safety monitoring system for a high-performance metal material processing workshop.
Background
The metal material is a common basic material in industry, the high-performance metal belongs to one of new metal materials, and the high-performance metal refers to metal produced by advanced high-temperature alloy materials and civil product production technology. The new metal materials can be classified into high-performance metal structural materials and metal functional materials according to functions and application fields. The high-performance metal structural material is a novel metal material which has the characteristics of higher high temperature resistance, corrosion resistance, high ductility and the like compared with the traditional structural material, and mainly comprises titanium, magnesium, zirconium and alloy thereof, tantalum-niobium, hard materials and the like, high-end special steel, new aluminum profiles and the like.
The basic material main body of the high-performance metal structure material comprises steel, Al alloy, Mg alloy and Ti alloy, wherein: steel materials, especially high-quality steel with a multi-phase structure and complex components, have important application prospects and potential advantages, and corresponding basic research needs to be developed. The nanometer interlayer structure, the texture, the grain boundary and the interface which link the micron technology and the nanometer technology can be regarded as an important way for improving the steel material; al-based materials and the corresponding precipitation hardening effects lead to the appearance of high-strength aluminum alloys, and the related technical process has been developed into precipitation science, which relates to the matching of crystal structures between phases and the stability of the alloys, particularly the stability of aging alloys directly influences aviation or space application, and thus can be regarded as an important problem in the basic research of Al alloys; magnesium and magnesium alloys are widely used in the fields of metallurgy, automobiles, motorcycles, aerospace, optical instruments, computers, electronics and communications, electric and pneumatic tools, medical instruments and the like. Magnesium alloy is the lightest engineering structure material, and is known as a novel green engineering material and 21 century 'era metal' by the characteristics of excellent thermal conductivity, vibration damping property, recoverability, electromagnetic interference resistance, excellent shielding property and the like; the Ti alloy has an important position in the development of military or civil aviation industry, and the problem of the multi-phase nanoscale lamellar microstructure has important significance on the characteristics of the high-strength Ti-based alloy, and becomes a key factor for designing a new Ti-based alloy.
At present, when a high-performance metal material is processed, certain problems exist, for example, the regulation and control of the temperature, the humidity and the cleanliness in a workshop are not timely enough, negative effects are generated on the processing of the high-performance metal material, the quality of a finished product of the high-performance metal material is reduced to a certain extent, the qualification rate is reduced to a certain extent, unnecessary production cost expenditure in the processing process of the high-performance metal material is increased, and in order to regulate and control the production environment indexes in the high-performance metal material processing workshop more conveniently, efficiently and accurately, the safety monitoring system for the high-performance metal material processing workshop is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve the problems of inconvenient regulation and control of production environment indexes, low efficiency, low accuracy and the like in the existing high-performance metal material processing workshop, and provides a safety monitoring system for the high-performance metal material processing workshop.
The invention solves the technical problem through the following technical scheme, and the invention comprises a signal acquisition module, a signal processing module and an execution module;
the signal acquisition module comprises a cleanliness detection unit, a temperature detection unit and a humidity detection unit, wherein the cleanliness detection unit is used for carrying out cleanliness detection on each area in the high-performance metal material processing workshop and transmitting cleanliness detection data of each area obtained through detection to the signal processing module for processing; the temperature detection unit is used for detecting the temperature of each area in the high-performance metal material processing workshop and transmitting the detected temperature detection data of each area to the signal processing module for processing; the humidity detection unit is used for detecting the humidity of each area in the high-performance metal material processing workshop and transmitting the detected humidity detection data of each area to the signal processing module for processing;
the signal processing module comprises a data storage unit and an operation comparison unit; the operation comparison unit is used for processing the index data collected by the cleanliness detection unit, the temperature detection unit and the humidity detection unit, judging the relation with a set threshold value, and making a corresponding regulation and control instruction to drive the execution module to regulate the corresponding index; the data storage unit is used for storing all index data acquired by the cleanliness detection unit, the temperature detection unit and the humidity detection unit and synchronously storing processing results of all index data;
the execution module comprises a cleanliness regulating unit, a temperature regulating unit and a humidity regulating unit, wherein the cleanliness regulating unit is used for regulating the cleanliness of the high-performance metal material processing workshop, the temperature regulating unit is used for regulating the temperature of the high-performance metal material processing workshop, and the humidity regulating unit is used for regulating the humidity of the high-performance metal material processing workshop;
when the signal acquisition module acquires each data index of the high-performance metal material processing workshop, the high-performance metal material processing workshop is divided into a plurality of isometric three-dimensional space areas, and the plurality of cleanliness detection units, the plurality of temperature detection units and the plurality of humidity detection units are used for acquiring each index of the plurality of areas respectively.
Furthermore, the safety monitoring system for the high-performance metal material processing workshop further comprises an A/D conversion module, the signal acquisition module is connected with the signal processing module through the A/D conversion module, the cleanliness detection units, the temperature detection units and the humidity detection units are respectively connected with the A/D conversion module, the acquired analog signals of all indexes are transmitted to the A/D conversion module in parallel, the acquired analog signals of all indexes are converted into digital signals through the A/D conversion module, and then the digital signals are transmitted to the signal processing module to be processed correspondingly.
Furthermore, the safety monitoring system for the high-performance metal material processing workshop further comprises a D/a conversion module, the signal processing module is respectively connected with the driving circuits of the cleanliness detection units, the temperature detection units and the humidity detection units through the D/a conversion module, digital signals of all indexes are converted by the D/a conversion module to obtain corresponding digital control signals, analog control signals are formed after the digital signals of all indexes are converted by the D/a conversion module, and the cleanliness detection units, the temperature detection units and the humidity detection units are controlled.
Furthermore, the safety monitoring system for the high-performance metal material processing workshop further comprises a network module, wherein the network module is connected with the signal processing module and is used for transmitting the processing result of the signal processing module and each index data to the outside.
Furthermore, the volumetric three-dimensional space region is divided into k layers, each layer comprises n regions, and the cleanliness data of the regions acquired by the cleanliness detection units are respectively J after being subjected to analog-to-digital conversionkn(ii) a The temperature data of each region acquired by each temperature detection unit is respectively T after being subjected to analog-to-digital conversionkn(ii) a The humidity data of each area acquired by each humidity detection unit is respectively S after being subjected to analog-to-digital conversionknWherein k and n are positive integers.
Further, in the operation comparison unit, the processing procedure is as follows:
s1: data filtering
Will Jkn、Tkn、SknRespectively comparing respective abnormal data thresholds, wherein the abnormal data thresholds are divided into an abnormal data upper threshold and an abnormal data lower threshold, and eliminating data larger than the abnormal data upper threshold and data smaller than the abnormal data lower threshold to judge the data as abnormal data;
s2: weighted averaging
Setting respective weights for each type of index data left after being removed in step S1 according to the distance between the geometric center position of each three-dimensional space region and the geometric center position of the processing production line, and calculating a weighted average of each type of index data, wherein a calculation formula is as follows:
JAVGtype＝Jkn·JWkn
TAVGtype＝Tkn·TWkn
SAVGtype＝SJkn·SWkn
wherein JAVGtype、TAVGtype、SAVGtypeRespectively weighing average values of cleanliness data, temperature data and humidity data; j. the design is a squarekn、Tkn、SknRespectively removing abnormal data from the data; JWkn、TWkn、SWknRespectively keeping the weights of all three-dimensional space regions of all types of index data, wherein the sum of the weights of all three-dimensional space regions of all types of index data is 1;
s3: comparing and judging
Comparing and judging the weighted average of each type of index data after the abnormal data is removed, which is obtained in the step S2, with respective corresponding regulation and control thresholds, wherein the regulation and control thresholds comprise a regulation and control upper threshold and a regulation and control lower threshold, when the weighted average is within a regulation and control threshold interval, the current state of the execution module is kept, and when the weighted average is outside the regulation and control threshold interval, the corresponding regulation unit in the execution module is controlled to operate according to the comparison and judgment result;
s4: continuous regulation
And repeating the steps S1-S3 at a certain period to stabilize each index in the high-performance metal material processing workshop within a specified range.
Further, in the step S3, the upper threshold value of the cleanliness data weighted average is CJ1Regulating and controlling the lower threshold value to be 0; regulatory upper threshold CT of weighted average of temperature data1The lower threshold is CT2(ii) a The upper threshold value of the humidity data weighted average is CS1The lower threshold is controlled to be CS2。
Further, in the step S3, the specific comparison and judgment processing procedure is as follows:
s31: sequentially comparing and judging the relationship between the weighted average value of each type of index data and the regulation threshold interval
Comparing and judging whether the weighted average value of the cleanliness data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding cleanliness regulating unit to regulate the cleanliness in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the temperature data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding temperature regulation unit to regulate the temperature in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the humidity data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding humidity regulation unit to regulate the humidity in the high-performance metal material processing workshop;
s32: determining the adjustment target threshold value according to the respective weight
In step S31, when the corresponding adjustment unit is activated, the adjustment target values of the respective types of index adjustment units for the respective zones are determined, and the adjustment target values of the respective types of index adjustment units are determined by the simultaneous equation system.
Furthermore, the cleanliness detection unit is a light scattering particle counter; the temperature detection unit is a temperature sensor, the humidity detection unit is a humidity sensor, the light scattering particle counter is used for measuring cleanliness in the appointed space, the temperature sensor is used for measuring the temperature in the appointed space, and the humidity sensor is used for measuring the humidity in the appointed space.
Furthermore, the cleanliness regulating unit is a miniature dust collector which is used for improving the cleanliness in the designated space; the temperature adjusting unit comprises an electric heater and an air conditioner, the electric heater is used for increasing the temperature in the designated space, and the air conditioner is used for reducing the temperature in the designated space; the humidity adjusting unit comprises a humidifier and a dehumidifier, the humidifier is used for improving the humidity in the designated space, and the dehumidifier is used for reducing the humidity in the designated space.
Compared with the prior art, the invention has the following advantages: according to the safety monitoring system for the high-performance metal material processing workshop, through the arranged signal acquisition module, all indexes in the high-performance metal material processing workshop can be conveniently acquired, and the subsequent index adjustment work is facilitated; through the arranged execution module, each index in the high-performance metal material processing workshop can be respectively adjusted, so that each index range is within the range of the production process requirement of the high-performance metal material, the quality of a finished product of the high-performance metal material is improved, and the qualification rate is improved; through regional acquisition and comparison judgment and adjustment according to a mode of weight setting according to distance, the weights of the edge region and the core region are reasonably distributed, so that the adjustment range of indexes of the core region can be reduced during adjustment, the energy consumption during adjustment of the core region is reduced, the setting is very reasonable, unnecessary production cost expenditure in the high-performance metal material processing process is effectively reduced, and the method is worthy of popularization and use.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a system block diagram of a signal acquisition module of the present invention;
FIG. 3 is a system block diagram of an execution module of the present invention.
Fig. 4 is a plan view of a high-performance metallic material processing plant in an embodiment of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1 to 4, the present embodiment provides a technical solution: a safety monitoring system for a high-performance metal material processing workshop comprises a signal acquisition module, a signal processing module and an execution module;
the signal acquisition module comprises a cleanliness detection unit, a temperature detection unit and a humidity detection unit, wherein the cleanliness detection unit is used for carrying out cleanliness detection on each area in the high-performance metal material processing workshop, and transmitting cleanliness detection data of each area obtained through detection to the signal processing module through a communication transmission bus for processing; the temperature detection unit is used for detecting the temperature of each area in the high-performance metal material processing workshop and transmitting the detected temperature detection data of each area to the signal processing module for processing through the communication transmission bus; the humidity detection unit is used for detecting the humidity of each area in the high-performance metal material processing workshop and transmitting the detected humidity detection data of each area to the signal processing module for processing through the communication transmission bus;
in this embodiment, the cleanliness detection unit is a light scattering particle counter; the temperature detection unit is a temperature sensor, the humidity detection unit is a humidity sensor, the light scattering particle counter is used for measuring cleanliness in the appointed space, the temperature sensor is used for measuring the temperature in the appointed space, and the humidity sensor is used for measuring the humidity in the appointed space. The cleanliness adjusting unit is a micro dust collector which is used for improving the cleanliness in the designated space; the temperature adjusting unit comprises an electric heater and an air conditioner, the electric heater is used for increasing the temperature in the designated space, and the air conditioner is used for reducing the temperature in the designated space; the humidity adjusting unit comprises a humidifier and a dehumidifier, the humidifier is used for improving the humidity in the designated space, and the dehumidifier is used for reducing the humidity in the designated space.
The signal processing module comprises a data storage unit and an operation comparison unit; the operation comparison unit is used for processing the index data collected by the cleanliness detection unit, the temperature detection unit and the humidity detection unit, judging the relation with a set threshold value, and making a corresponding regulation and control instruction to drive the execution module to regulate the corresponding index; the data storage unit is used for storing all index data acquired by the cleanliness detection unit, the temperature detection unit and the humidity detection unit and synchronously storing processing results of all index data;
in this embodiment, the signal processing module selects a single chip microcomputer or a DSP with a suitable type to cooperate with a corresponding program set to implement the function of the operation comparison unit.
The execution module comprises a cleanliness regulating unit, a temperature regulating unit and a humidity regulating unit, wherein the cleanliness regulating unit is used for regulating the cleanliness of the high-performance metal material processing workshop, the temperature regulating unit is used for regulating the temperature of the high-performance metal material processing workshop, and the humidity regulating unit is used for regulating the humidity of the high-performance metal material processing workshop;
when the signal acquisition module acquires each data index of the high-performance metal material processing workshop, the high-performance metal material processing workshop is divided into a plurality of isometric three-dimensional space areas, and the plurality of cleanliness detection units, the plurality of temperature detection units and the plurality of humidity detection units are used for acquiring each index of the plurality of areas respectively.
In this embodiment, fig. 4 is a top view of the high-performance metal material processing plant of this embodiment, in which the processing plant is divided into two layers, each layer having two three-dimensional spatial regions of equal volume, a middle black circle in the figure indicates a geometric center position of the processing production line and is located between the two spatial regions of the lower layer, and two black circles on two sides in the figure respectively indicate geometric center positions of the two spatial regions of the upper layer and the lower layer.
In this embodiment, the safety monitoring system for a high-performance metal material processing workshop further includes an a/D conversion module, the signal acquisition module is connected to the signal processing module through the a/D conversion module, the cleanliness detection units, the temperature detection units, and the humidity detection units are connected to the a/D conversion module, respectively, and transmit analog signals of the collected indexes to the a/D conversion module in parallel, and the a/D conversion module converts the analog signals of the collected indexes into digital signals, and transmits the digital signals to the signal processing module for corresponding processing.
In this embodiment, the safety monitoring system for a high-performance metal material processing workshop further includes a D/a conversion module, the signal processing module is connected to the driving circuits of the cleanliness detection units, the temperature detection units, and the humidity detection units through the D/a conversion module, the digital signals of each index are converted by the D/a conversion module to obtain corresponding digital control signals, and the digital signals are converted by the D/a conversion module to form analog control signals, so as to control the cleanliness detection units, the temperature detection units, and the humidity detection units.
In this embodiment, the safety monitoring system for a high-performance metal material processing workshop further includes a network module, the network module is connected to the signal processing module and is configured to transmit the processing result of the signal processing module and each index data to the outside, and the network module may be a wired network module or a wireless network module, such as a zigbee network module.
In this embodiment, the volumetric three-dimensional space region is divided into 2 layers, each layer includes 2 regions, and the cleanliness data of each region acquired by each cleanliness detection unit is J after analog-to-digital conversion processing11、J12、J21、J22(ii) a The temperature data of each region acquired by each temperature detection unit is respectively T after being subjected to analog-to-digital conversion11、T12、T21、T22(ii) a The humidity data of each area acquired by each humidity detection unit is respectively S after being subjected to analog-to-digital conversion11、S12、S21、S22。
Further, in the operation comparison unit, the processing procedure is as follows:
s1: data filtering
Will J11、J12、J21、J22/T11、T12、T21、T22/S11、S12、S21、S22Respectively comparing the abnormal data thresholds, dividing the abnormal data threshold into an upper abnormal data threshold and a lower abnormal data threshold, and comparing the data greater than the upper abnormal data threshold with the data smaller than the lower abnormal data thresholdData of the value are removed, and the data are judged to be abnormal data;
s2: weighted averaging
Setting respective weights for each type of index data left after being removed in step S1 according to the distance between the geometric center position of each three-dimensional space region and the geometric center position of the processing production line, and calculating a weighted average of each type of index data, wherein a calculation formula is as follows:
JAVGtype＝Jkn·JWkn
TAVGtype＝Tkn·TWkn
SAVGtype＝SJkn·SWkn
wherein JAVGtype、TAVGtype、SAVGtypeRespectively weighing average values of cleanliness data, temperature data and humidity data; j. the design is a squarekn、Tkn、SknRespectively removing abnormal data from the data; JWkn、TWkn、SWknThe weights of the three-dimensional space regions of the reserved types of index data are respectively, and the sum of the weights of the three-dimensional space regions of each type of index data is 1.
It should be noted that, in this embodiment, the specific setting of the weight of each stereo space region of each type of index data is obtained by multiple experiments and optimizations, but follows a principle: the weight of each type of index data of each region with a far distance from the geometric center is smaller than that of each type of index data of each region with a near distance. As can be known from the general knowledge, under the condition of ignoring other factors, one heater is respectively arranged at a position ten meters away from an object and at a position five meters away from the object, the two heaters have influence on the temperature value of the object, and the heater at the position five meters away is necessarily greater than the heater at the position ten meters away from the object, so the weight setting rule is reasonable and correct.
S3: comparing and judging
Comparing and judging the weighted average of each type of index data after the abnormal data is removed, which is obtained in the step S2, with respective corresponding regulation and control thresholds, wherein the regulation and control thresholds comprise a regulation and control upper threshold and a regulation and control lower threshold, when the weighted average is within a regulation and control threshold interval, the current state of the execution module is kept, and when the weighted average is outside the regulation and control threshold interval, the corresponding regulation unit in the execution module is controlled to operate according to the comparison and judgment result;
s4: continuous regulation
Repeating the steps S1-S3 at a certain period to stabilize each index in the high-performance metal material processing workshop within a specified range, wherein in the embodiment, one period is 0.3 ms.
In this embodiment, in the step S3, the upper threshold value of the cleanliness data weighted average is CJ1Regulating and controlling the lower threshold value to be 0; regulatory upper threshold CT of weighted average of temperature data1The lower threshold is CT2(ii) a The upper threshold value of the humidity data weighted average is CS1The lower threshold is controlled to be CS2It should be noted that, in the actual adjusting process, the larger the numerical value of the cleanliness index is, the lower the cleanliness index is, and the cleanliness index is only adjusted downward, that is, the numerical value of the cleanliness index is reduced to the control threshold interval, and the other two indexes are different, and can be adjusted upward or downward.
In this embodiment, in the step S3, the specific comparison and determination processing procedure is as follows:
s31: sequentially comparing and judging the relationship between the weighted average value of each type of index data and the regulation threshold interval
Comparing and judging whether the weighted average value of the cleanliness data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding cleanliness regulating unit to regulate the cleanliness in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the temperature data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding temperature regulation unit to regulate the temperature in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the humidity data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding humidity regulation unit to regulate the humidity in the high-performance metal material processing workshop;
s32: determining the adjustment target threshold value according to the respective weight
In step S31, when the corresponding adjustment unit is activated, the adjustment target values of the respective types of index adjustment units for the respective zones are determined, and the adjustment target values of the respective types of index adjustment units are determined by the simultaneous equation system.
The specific process of the simultaneous equations is as follows:
for example, only two groups of data are left after abnormal data elimination, taking a temperature index as an example, the weight of the first group of data is 0.25, the temperature value is 30 ℃, the data is data far away from the geometric center of the processing production line, the weight of the other group of data is 0.75, and the temperature value is 60 ℃;
TAVGtype30 × 0.25+60 × 0.75 × 52.5 ℃, while the upper threshold CT is regulated160 ℃ and the lower threshold value is CT2At 55 deg.C, the lower threshold value is CT2Equation 1 was established on 55 deg.c basis:
(30+M1)*0.25+(60+M2)*0.75＝55℃
then, an equation 2 is established according to the weight proportion:
M1/M2＝0.75/0.25
then, two sets of equations are combined to obtain values of M1 and M2, M1 and M2 are temperature amplitudes of the two regions, which need to be adjusted by the temperature adjusting unit, respectively, and 30+ M1 and 60+ M2 are temperature adjusting target values of the two regions, respectively.
In summary, the safety monitoring system for the high-performance metal material processing workshop according to the embodiment can conveniently acquire each index in the high-performance metal material processing workshop through the arranged signal acquisition module, and is beneficial to subsequent index adjustment work; through the arranged execution module, each index in the high-performance metal material processing workshop can be respectively adjusted, so that each index range is within the range of the production process requirement of the high-performance metal material, the quality of a finished product of the high-performance metal material is improved, and the qualification rate is improved; through regional acquisition and comparison judgment and adjustment according to a mode of weight setting according to distance, the weights of the edge region and the core region are reasonably distributed, so that the adjustment range of indexes of the core region can be reduced during adjustment, the energy consumption during adjustment of the core region is reduced, the setting is very reasonable, unnecessary production cost expenditure in the high-performance metal material processing process is effectively reduced, and the method is worthy of popularization and use.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (9)

1. The utility model provides a high performance metal material is safety monitoring system for processing workshop which characterized in that: the device comprises a signal acquisition module, a signal processing module and an execution module;
the signal acquisition module comprises a cleanliness detection unit, a temperature detection unit and a humidity detection unit, wherein the cleanliness detection unit is used for carrying out cleanliness detection on each area in the high-performance metal material processing workshop and transmitting cleanliness detection data of each area obtained through detection to the signal processing module for processing; the temperature detection unit is used for detecting the temperature of each area in the high-performance metal material processing workshop and transmitting the detected temperature detection data of each area to the signal processing module for processing; the humidity detection unit is used for detecting the humidity of each area in the high-performance metal material processing workshop and transmitting the detected humidity detection data of each area to the signal processing module for processing;
the signal processing module comprises a data storage unit and an operation comparison unit; the operation comparison unit is used for processing the index data collected by the cleanliness detection unit, the temperature detection unit and the humidity detection unit, judging the relation with a set threshold value, and making a corresponding regulation and control instruction to drive the execution module to regulate the corresponding index; the data storage unit is used for storing all index data acquired by the cleanliness detection unit, the temperature detection unit and the humidity detection unit and synchronously storing processing results of all index data;
the execution module comprises a cleanliness regulating unit, a temperature regulating unit and a humidity regulating unit, wherein the cleanliness regulating unit is used for regulating the cleanliness of the high-performance metal material processing workshop, the temperature regulating unit is used for regulating the temperature of the high-performance metal material processing workshop, and the humidity regulating unit is used for regulating the humidity of the high-performance metal material processing workshop;
when the signal acquisition module acquires each data index of the high-performance metal material processing workshop, the high-performance metal material processing workshop is divided into a plurality of isometric three-dimensional space areas, and the plurality of cleanliness detection units, the plurality of temperature detection units and the plurality of humidity detection units are used for acquiring each index of the plurality of areas respectively.
2. The safety monitoring system for a high-performance metallic material processing plant as set forth in claim 1, wherein: the safety monitoring system for the high-performance metal material processing workshop further comprises an A/D conversion module, the signal acquisition module is connected with the signal processing module through the A/D conversion module, and the cleanliness detection units, the temperature detection units and the humidity detection units are connected with the A/D conversion module respectively.
3. The safety monitoring system for a high-performance metallic material processing plant as set forth in claim 2, wherein: the safety monitoring system for the high-performance metal material processing workshop further comprises a D/A conversion module, and the signal processing module is respectively connected with the plurality of cleanliness detection units, the plurality of temperature detection units and the plurality of humidity detection units through the D/A conversion module.
4. The safety monitoring system for a high-performance metallic material processing plant of claim 3, wherein: the safety monitoring system for the high-performance metal material processing workshop further comprises a network module, wherein the network module is connected with the signal processing module and is used for transmitting the processing result of the signal processing module and each index data to the outside.
5. The safety monitoring system for the high-performance metallic material processing plant according to claim 4, wherein: the equal-volume three-dimensional space region is divided into k layers, each layer comprises n regions, and cleanliness data of the regions acquired by the cleanliness detection units are respectively J after analog-to-digital conversionkn(ii) a The temperature data of each region acquired by each temperature detection unit is respectively T after being subjected to analog-to-digital conversionkn(ii) a The humidity data of each area acquired by each humidity detection unit is respectively S after being subjected to analog-to-digital conversionknWherein k and n are positive integers.
6. The safety monitoring system for a high-performance metallic material processing plant as set forth in claim 1, wherein: in the operation comparison unit, the processing procedure is as follows:
s1: data filtering
Will Jkn、Tkn、SknRespectively comparing respective abnormal data thresholds, wherein the abnormal data thresholds are divided into an abnormal data upper threshold and an abnormal data lower threshold, and eliminating data larger than the abnormal data upper threshold and data smaller than the abnormal data lower threshold to judge the data as abnormal data;
s2: weighted averaging
Setting respective weights for each type of index data left after being removed in step S1 according to the distance between the geometric center position of each three-dimensional space region and the geometric center position of the processing production line, and calculating a weighted average of each type of index data, wherein a calculation formula is as follows:
JAVGtype＝Jkn·JWkn
TAVGtype＝Tkn·TWkn
SAVGtype＝SJkn·SWkn
wherein JAVGtype、TAVGtype、SAVGtypeRespectively weighing average values of cleanliness data, temperature data and humidity data; j. the design is a squarekn、Tkn、SknRespectively removing abnormal data from the data; JWkn、TWkn、SWknRespectively keeping the weights of all three-dimensional space regions of all types of index data, wherein the sum of the weights of all three-dimensional space regions of all types of index data is 1;
s3: comparing and judging
Comparing and judging the weighted average of each type of index data after the abnormal data is removed, which is obtained in the step S2, with respective corresponding regulation and control thresholds, wherein the regulation and control thresholds comprise a regulation and control upper threshold and a regulation and control lower threshold, when the weighted average is within a regulation and control threshold interval, the current state of the execution module is kept, and when the weighted average is outside the regulation and control threshold interval, the corresponding regulation unit in the execution module is controlled to operate according to the comparison and judgment result;
s4: continuous regulation
And repeating the steps S1-S3 periodically to stabilize each index in the high-performance metal material processing workshop within a specified range.
7. The safety monitoring system for the high-performance metallic material processing plant of claim 6, wherein: in the step S3, the upper threshold value of the cleanliness data weighted average is CJ1Regulating and controlling the lower threshold value to be 0; regulatory upper threshold CT of weighted average of temperature data1The lower threshold is CT2(ii) a The upper threshold value of the humidity data weighted average is CS1The lower threshold is controlled to be CS2。
8. The safety monitoring system for a high-performance metallic material processing plant of claim 7, wherein: in step S3, the specific comparison and determination processing procedure is as follows:
s31: sequentially comparing and judging the relationship between the weighted average value of each type of index data and the regulation threshold interval
Comparing and judging whether the weighted average value of the cleanliness data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding cleanliness regulating unit to regulate the cleanliness in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the temperature data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding temperature regulation unit to regulate the temperature in the high-performance metal material processing workshop; comparing and judging whether the weighted average value of the humidity data is within the corresponding regulation threshold interval or not, otherwise, starting a corresponding humidity regulation unit to regulate the humidity in the high-performance metal material processing workshop;
s32: determining the adjustment target threshold value according to the respective weight
In step S31, when the corresponding adjustment unit is activated, the adjustment target values of the respective types of index adjustment units for the respective zones are determined, and the adjustment target values of the respective types of index adjustment units are determined by the simultaneous equation system.
9. The safety monitoring system for a high-performance metallic material processing plant of claim 8, wherein: in step S3, the specific comparison and determination processing procedure is as follows: the cleanliness detection unit is a light scattering particle counter; the temperature detection unit is a temperature sensor, and the humidity detection unit is a humidity sensor; the cleanliness adjusting unit is a miniature dust collector, the temperature adjusting unit comprises an electric heater and an air conditioner, and the humidity adjusting unit is a humidifier and a dehumidifier.
CN202011383174.2A 2020-12-01 2020-12-01 Safety monitoring system for high-performance metal material processing workshop Withdrawn CN112460735A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117370474A (en) * 2023-10-08 2024-01-09 扬州市源新钢板加工有限公司 Be used for non ferrous metal alloy production environment monitored control system of high strength

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117370474A (en) * 2023-10-08 2024-01-09 扬州市源新钢板加工有限公司 Be used for non ferrous metal alloy production environment monitored control system of high strength

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