CN111220349B - Multi-parameter optimization measurement and control circuit, experimental system and experimental method - Google Patents
Multi-parameter optimization measurement and control circuit, experimental system and experimental method Download PDFInfo
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- 238000005259 measurement Methods 0.000 title claims abstract description 47
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- 238000012937 correction Methods 0.000 claims abstract description 40
- 230000008859 change Effects 0.000 claims abstract description 12
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims description 53
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 52
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 52
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 52
- 238000005286 illumination Methods 0.000 claims description 24
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
- G01M9/06—Measuring arrangements specially adapted for aerodynamic testing
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
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Abstract
The invention discloses a multi-parameter optimization measurement and control circuit, an experimental system and an experimental method, wherein the experimental system comprises a data acquisition controller, a temperature and humidity correction circuit, a current sensor, a multi-parameter optimization measurement and control circuit, a humidifier, a refrigerator, a fan and an industrial personal computer, wherein the input end of the temperature and humidity correction circuit is connected with a plurality of sensors, the output end of the temperature and humidity correction circuit is connected with the data acquisition controller, the input end of the multi-parameter optimization measurement and control circuit is connected with a plurality of sensors, the output end of the multi-parameter optimization measurement and control circuit is connected with the data acquisition controller, the output end of the current sensor is connected with the data acquisition controller, and the humidifier, the refrigerator and the fan are all connected with the data acquisition controller through switches; the industrial personal computer is connected with the data acquisition controller; the invention has the advantages that: the data deviation generated by the change of temperature, humidity and wind speed in the experimental environment can be eliminated, so that the experimental data is accurate.
Description
Technical Field
The invention relates to the field of fire safety, in particular to a multi-parameter optimization measurement and control circuit, an experimental system and an experimental method.
Background
The wind tunnel laboratory is a pipeline experimental device which simulates the flow condition of air around an aircraft or an entity by manually generating and controlling the air flow, can measure the effect of the air flow on the entity and observe physical phenomena, and is one of the most common and effective tools for performing aerodynamic experiments. According to different purposes, the wind tunnel can be divided into a building wind tunnel, an environment wind tunnel, a special wind tunnel for an automobile and the like, wherein the building wind tunnel is mainly used for wind resistance research of civil structures, such as wind resistance research of structures of high-rise buildings, large bridges, power transmission towers and the like.
Chinese patent publication No. CN110501136a discloses a method for forecasting wind load of a marine platform based on correction of a test specific wind profile to an arbitrary wind profile, which includes selecting a mature simulated wind profile model for test based on a target NPD wind profile model corresponding to a designed wind speed and four site wind profile models of a building structure; secondly, determining a test wind speed according to the fact that the generalized structural system coefficient basically does not change along with the Reynolds number or the wind speed within a certain range when the flow field enters a turbulent state, performing a wind tunnel test on the basis, and calculating a wind load forecast coefficient; and finally, determining and correcting the predicted wind load coefficient according to the principle that the integral body type coefficient of the structure under the target wind section is consistent with the integral body type coefficient of the structure under the test selected wind section, and establishing a correction coefficient calculation method of the predicted wind load coefficient. According to the method, debugging simulation of a target NPD wind profile model corresponding to the designed wind speed is not needed, the debugging simulation time is saved, the working efficiency of the structural wind tunnel test is improved, and the cost is saved. However, in the wind tunnel experimental study in the prior art, the variation of temperature, humidity and wind speed in the experimental environment is not considered, so that the deviation of the measured data of the sensor is easy to occur, and the experimental data deviation is generated.
Disclosure of Invention
The invention aims to solve the technical problem that the prior art does not solve the problem of inaccurate experimental data caused by data deviation generated by temperature, humidity and wind speed changes in experimental environments in wind tunnel experimental research.
The invention solves the technical problems by the following technical means: the multi-parameter optimization measurement and control circuit comprises sequentially numbered resistors R1 to R20 and sequentially numbered amplifiers U1 to U5, wherein one end of the resistor R1 is connected with a temperature sensor, one end of the resistor R7 is connected with a reference voltage of the temperature sensor at normal temperature, the other end of the resistor R1 is connected with one end of a resistor R2 and the same-phase end of the amplifier U1, the other end of the resistor R7 is connected with one end of a resistor R8 and the opposite-phase end of the amplifier U1, and the other end of the resistor R2 is connected with the output end of the amplifier U1; one end of the resistor R3 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R3 is connected with the in-phase end of the amplifier U2 and one end of the resistor R4, one end of the resistor R9 is connected with the output end of the amplifier U1, the other end of the resistor R9 is connected with one end of the resistor R10 and the inverting end of the amplifier U2, and the other end of the resistor R4 is connected with the output end of the amplifier U2; one end of the resistor R5 is connected with the output end of the amplifier U2, the other end of the resistor R5 is connected with the same-phase end of the amplifier U3, and one end of the resistor R11 is connected with the opposite-phase end of the amplifier U3; one end of the resistor R12 is connected with the wind speed sensor, one end of the resistor R17 is connected with the reference voltage of the wind speed sensor at normal temperature, the other end of the resistor R12 is connected with one end of the resistor R13 and the same-phase end of the amplifier U4, the other end of the resistor R17 is connected with one end of the resistor R18 and the opposite-phase end of the amplifier U4, and the other end of the resistor R13 is connected with the output end of the amplifier U2; one end of the resistor R14 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R14 is connected with the in-phase end of the amplifier U5, one end of the resistor R19 is connected with the output end of the amplifier U4, the other end of the resistor R19 is connected with one end of the resistor R15, the other end of the resistor R15 is connected with the output end of the amplifier U5, and one end of the resistor R20 is connected with the inverting end of the amplifier U5; one end of the resistor R16 is connected with the output end of the amplifier U5, the other end of the resistor R16 is connected with one end of the resistor R6, the other end of the resistor R6 is connected with the output end of the amplifier U3, the other end of the resistor R8, the other end of the resistor R10, the other end of the resistor R11, the other end of the resistor R18 and the other end of the resistor R20 are all grounded, and the output end of the amplifier U3 is an output signal end of the multi-parameter optimization measurement and control circuit.
According to the invention, the difference value obtained by comparing the signal input of the temperature sensor with the reference voltage of the temperature sensor at normal temperature and the difference value obtained by multiplying the signal input of the wind speed sensor with the reference voltage of the wind speed sensor at normal temperature by corresponding weights are respectively overlapped with the signal input of the hydrogen sulfide or carbon monoxide sensor, and the obtained result is a result which considers the error caused by the influence of the hydrogen sulfide and the carbon monoxide sensor along with the temperature and the wind speed, and is more accurate.
The invention also provides an experimental system, which comprises the multi-parameter optimization measurement and control circuit, a data acquisition controller, a temperature and humidity correction circuit, a current sensor, a humidifier, a refrigerator, a fan and an industrial personal computer, wherein the input end of the temperature and humidity correction circuit is connected with a plurality of sensors, the output end of the temperature and humidity correction circuit is connected with the data acquisition controller, the input end of the multi-parameter optimization measurement and control circuit is connected with a plurality of sensors, the output end of the multi-parameter optimization measurement and control circuit is connected with the data acquisition controller, the output end of the current sensor is connected with the data acquisition controller, and the humidifier, the refrigerator and the fan are all connected with the data acquisition controller through switches; the industrial personal computer is connected with the data acquisition controller.
According to the invention, a complete experimental system is arranged, the deviation of the measured data of the sensor, which is easily caused by the change of temperature, humidity and wind speed in the experimental environment, is considered, and the temperature and humidity correction circuit for eliminating the error caused by the decrease of pressure and illuminance along with the increase of temperature and humidity and the multi-parameter optimization measurement and control circuit for eliminating the error caused by the influence of hydrogen sulfide and carbon monoxide along with the temperature and wind speed are arranged, so that the data deviation caused by the change of temperature, humidity and wind speed in the experimental environment is eliminated, and the experimental data is more accurate.
Preferably, the data acquisition controller is MR-M8440-D, the humidifier is ERS-890L, the refrigerator is ALT-18, the blower is S-LP low-voltage series blower, the industrial personal computer is IPC277D, and the current sensor is HDCTK-50.
Preferably, the experiment system further comprises a temperature sensor, a humidity sensor, an air pressure sensor and an illumination sensor, wherein the temperature sensor, the humidity sensor, the air pressure sensor and the illumination sensor are respectively connected with the input end of the temperature and humidity correction circuit; the temperature sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the temperature sensor at normal temperature; the humidity sensor is also connected with the data acquisition controller and used for acquiring the reference voltage of the humidity sensor at normal temperature.
Preferably, the temperature sensor is PR-3002-WS, the humidity sensor is PR-3002-WS, the air pressure sensor is PR-3002-QY, and the illumination sensor is PR-3002-Lux.
Preferably, the experimental system further comprises a wind speed sensor, a hydrogen sulfide sensor and a carbon monoxide sensor, wherein the temperature sensor, the wind speed sensor, the hydrogen sulfide sensor and the carbon monoxide sensor are respectively connected with the input end of the multi-parameter optimization measurement and control circuit; the wind speed sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the wind speed sensor at normal temperature.
Preferably, the model of the WIND speed sensor is WL-WIND-30, the model of the hydrogen sulfide sensor is PR-3002-H2S, and the model of the carbon monoxide sensor is PR-3002-CO.
Preferably, the experimental system further comprises a power supply, an alarm and a camera, wherein the power supply is connected with the data acquisition controller to supply power for the system; the alarm is connected with the data acquisition controller through a switch; the camera is connected with the industrial personal computer.
Preferably, the power supply is in the model of YL-P5-A, the alarm is in the model of SF-500A, and the camera adopts a 500-ten-thousand-pixel color USB3.0 camera.
The invention also provides an experimental method applied to the experimental system of any one of claims 2-5, the method comprising:
Step one: switching on a power supply, switching on an industrial personal computer, controlling a fan, a humidifier and a refrigerator by using the industrial personal computer, changing the wind speed, the temperature and the humidity, and respectively performing a fire-free experiment, a smoldering experiment and an open flame experiment;
Step two: the temperature and humidity correction circuit is utilized to eliminate errors caused by the decrease of pressure and illuminance along with the increase of temperature and humidity, and the multi-parameter optimization measurement and control circuit is utilized to eliminate errors caused by the influence of hydrogen sulfide and carbon monoxide along with temperature and wind speed;
step three: and analyzing the data obtained under different working conditions by adopting a statistical analysis method to obtain the change rules of temperature, humidity, air pressure, illuminance, hydrogen sulfide and carbon monoxide under the multi-disaster coupling environment, further obtaining the influence rules of the multi-disaster coupling environment on different types of fires, and completing the experiment.
Preferably, the temperature and humidity correction circuit uses a formula V po＝VP+A1(Vt-Vtr)/2+3/4*A2(Vh-Vhr) to eliminate errors caused by the decrease of pressure and illuminance along with the increase of temperature and humidity; wherein V po represents an output signal corrected by the temperature and humidity correction circuit; v P represents a pressure sensor or illumination sensor signal input; a1 and A2 each represent a signal amplification factor and a1+a2=1, a1>0, a2>0; v t represents a temperature signal input, V tr represents a reference voltage of the temperature sensor at normal temperature, V h represents a humidity signal input, and V hr represents a reference voltage of the humidity sensor at normal temperature;
The multi-parameter optimization measurement and control circuit eliminates errors caused by the influence of the temperature and the wind speed on the hydrogen sulfide and the carbon monoxide by using a formula V so＝Vs+3/4*A3(Vt-Vtr)-A4(Vw-Vwr)/2; wherein V so represents an output signal corrected by the multi-parameter optimization measurement and control circuit; v s represents a hydrogen sulfide sensor or carbon monoxide sensor signal input; a3 and A4 each represent a signal amplification factor and a3+a4=1, a3>0, a4>0; v w represents a wind speed signal input, and V wr represents a reference voltage of the wind speed sensor at normal temperature.
Preferably, the fireless test comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of no fire are analyzed.
Preferably, the smoldering test comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the smoldering condition are analyzed.
Preferably, the open flame experiment comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of open fire are analyzed.
The invention has the advantages that:
(1) The multi-parameter optimization measurement and control circuit disclosed by the invention is characterized in that the signal input of the temperature sensor is compared with the reference voltage of the temperature sensor at normal temperature, the difference value of the signal input of the wind speed sensor is compared with the reference voltage of the wind speed sensor at normal temperature, and the difference value is multiplied by corresponding weights and then is overlapped with the signal input of the hydrogen sulfide or carbon monoxide sensor, so that the obtained result is a result which considers errors caused by the influence of the hydrogen sulfide and the carbon monoxide sensor along with the temperature and the wind speed, the result is more accurate, wherein the weights are determined by the amplification factor of the circuit, and the total weight is 1.
(2) According to the invention, a complete experimental system is arranged, the deviation of the measured data of the sensor, which is easily caused by the change of temperature, humidity and wind speed in the experimental environment, is considered, and the temperature and humidity correction circuit for eliminating the error caused by the decrease of pressure and illuminance along with the increase of temperature and humidity and the multi-parameter optimization measurement and control circuit for eliminating the error caused by the influence of hydrogen sulfide and carbon monoxide along with the temperature and wind speed are arranged, so that the data deviation caused by the change of temperature, humidity and wind speed in the experimental environment is eliminated, and the experimental data is more accurate.
Drawings
FIG. 1 is a schematic diagram of a multi-parameter optimization measurement and control circuit disclosed in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a temperature and humidity correction circuit according to embodiment 1 of the present invention;
FIG. 3 is a block diagram of an experimental system disclosed in embodiment 2 of the present invention;
fig. 4 is a flow chart of an experimental method disclosed in embodiment 3 of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described in the following in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the temperature and humidity correction circuit and the multi-parameter optimization measurement and control circuit are in the circuit structure form, the multi-parameter optimization measurement and control circuit is essentially a temperature and wind speed correction circuit, the temperature and wind speed correction circuit comprises sequentially numbered resistors R1 to R20 and sequentially numbered amplifiers U1 to U5, the resistors adopt precise resistors with the precision of 0.1%, the amplifiers U1 to U5 adopt INA821 instrumentation amplifiers, one end of the resistor R1 is connected with a temperature sensor, one end of the resistor R7 is connected with a reference voltage of the temperature sensor at normal temperature, the other end of the resistor R1 is connected with one end of the resistor R2 and the same phase end of the amplifier U1, the other end of the resistor R7 is connected with one end of the resistor R8 and the inverting end of the amplifier U1, and the other end of the resistor R2 is connected with the output end of the amplifier U1; one end of the resistor R3 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R3 is connected with the in-phase end of the amplifier U2 and one end of the resistor R4, one end of the resistor R9 is connected with the output end of the amplifier U1, the other end of the resistor R9 is connected with one end of the resistor R10 and the inverting end of the amplifier U2, and the other end of the resistor R4 is connected with the output end of the amplifier U2; one end of the resistor R5 is connected with the output end of the amplifier U2, the other end of the resistor R5 is connected with the same-phase end of the amplifier U3, and one end of the resistor R11 is connected with the opposite-phase end of the amplifier U3; one end of the resistor R12 is connected with the wind speed sensor, one end of the resistor R17 is connected with the reference voltage of the wind speed sensor at normal temperature, the other end of the resistor R12 is connected with one end of the resistor R13 and the same-phase end of the amplifier U4, the other end of the resistor R17 is connected with one end of the resistor R18 and the opposite-phase end of the amplifier U4, and the other end of the resistor R13 is connected with the output end of the amplifier U2; one end of the resistor R14 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R14 is connected with the in-phase end of the amplifier U5, one end of the resistor R19 is connected with the output end of the amplifier U4, the other end of the resistor R19 is connected with one end of the resistor R15, the other end of the resistor R15 is connected with the output end of the amplifier U5, and one end of the resistor R20 is connected with the inverting end of the amplifier U5; one end of the resistor R16 is connected with the output end of the amplifier U5, the other end of the resistor R16 is connected with one end of the resistor R6, the other end of the resistor R6 is connected with the output end of the amplifier U3, the other end of the resistor R8, the other end of the resistor R10, the other end of the resistor R11, the other end of the resistor R18 and the other end of the resistor R20 are all grounded, and the output end of the amplifier U3 is an output signal end of the multi-parameter optimization measurement and control circuit. The signal input of the temperature sensor is overlapped with the signal input of the hydrogen sulfide or carbon monoxide sensor after being multiplied by the corresponding weight respectively, the signal input of the wind speed sensor is compared with the reference voltage of the temperature sensor at normal temperature, the signal input of the wind speed sensor is overlapped with the signal input of the hydrogen sulfide or carbon monoxide sensor after being multiplied by the corresponding weight, the result is the result of taking the error caused by the influence of the hydrogen sulfide and the carbon monoxide sensor along with the temperature and the wind speed into consideration, the result is more accurate, wherein the weight is determined by the amplification factor of a circuit, the total weight is 1, and the sum of the weight of the influence of the hydrogen sulfide and the carbon monoxide sensor along with the temperature and the weight of the influence of the hydrogen sulfide and the carbon monoxide sensor along with the wind speed is 1.
In fig. 1, the resistance of the resistor R1 is R2/A3, A3 is an amplification factor, the resistance of the resistor R3 is twice the resistance of the resistor R4, the resistance of the resistor R5 is equal to the resistance of the resistor R6, the resistance of the resistor R7 is R8/A3, the resistance of the resistor R9 is equal to the resistance of the resistor R10, the resistance of the resistor R12 is R13/A4, A4 is an amplification factor, the resistance of the resistor R14 and the resistance of the resistor R19 are twice the resistance of the resistor R15, the resistance of the resistor R16 is equal to the resistance of the resistor R6, and the resistance of the resistor R17 is R18/A4.
In fig. 1, vso represents the corrected output signal, and the derivation of Vso is finally derived as follows ：Vto＝A3(Vtr-Vt),Vst＝3/4*Vto-Vs/2,Vwo＝A4(Vwr-Vw),Vws＝-(Vwo+Vs)/2,Vso＝-(Vst+Vws),, V so＝Vs+3/4*A3(Vt-Vtr)-A4(Vw-Vwr)/2, where a3+a4=1, a3>0, and a4>0.V so represents an output signal corrected by the multi-parameter optimization measurement and control circuit; v s represents a hydrogen sulfide sensor or carbon monoxide sensor signal input; a3 and A4 each represent a signal amplification factor and a3+a4=1, a3>0, a4>0; v w represents a wind speed signal input, and V wr represents a reference voltage of the wind speed sensor at normal temperature. The multi-parameter optimization measurement and control circuit aims to eliminate errors caused by the influence of the hydrogen sulfide and the carbon monoxide on the temperature and the wind speed, but the influence weights of the temperature and the wind speed on the hydrogen sulfide and the carbon monoxide are not the same, but the weights of the temperature and the wind speed are adjusted through A3+A4=1, A3>0 and A4>0 values, so that the total weight is ensured to be 1.
As shown in FIG. 2, the schematic diagram of the temperature and humidity correction circuit is that the circuit structure and the resistance are selected to be the same as the multi-parameter optimization measurement and control circuit, but the input sensor data are different, and the output signals are also different. The relationship between the resistance values of the resistors is shown in the figure, and will not be described here. V po represents the output signal corrected by the temperature and humidity correction circuit, V po is finally calculated as follows ：Vto＝A1(Vtr-Vt),Vpt＝(Vto-Vp)/2,Vho＝A2(Vhr-Vh),Vph＝3/4*Vho-Vp/2,Vpo＝-(Vpt+Vph),, V po＝Vp+A1(Vt-Vtr)/2+3/4*A2(Vh-Vhr), where a1+a2=1, a1>0, and A2>0.V P represents a pressure sensor or illumination sensor signal input; a1 and A2 each represent a signal amplification factor and a1+a2=1, a1>0, a2>0; v t represents a temperature signal input, V tr represents a reference voltage of the temperature sensor at normal temperature, V h represents a humidity signal input, and V hr represents a reference voltage of the humidity sensor at normal temperature. Due to the characteristics of the pressure and illumination sensor materials, the pressure and the illumination intensity are reduced along with the increase of the temperature and the humidity, the temperature and humidity correction circuit aims to eliminate errors caused by the reduction of the pressure and the illumination intensity along with the increase of the temperature and the humidity, but the influence weights of the temperature and the humidity on the pressure and the illumination intensity are not the same, and the weights of the temperature and the humidity are adjusted through A1+A2=1, A1>0 and A2>0 values, so that the total weight is ensured to be 1.
Through the technical scheme, the multi-parameter optimization measurement and control circuit provided by the invention has the advantages that the difference value after the signal input of the temperature sensor is compared with the reference voltage of the temperature sensor at normal temperature and the difference value after the signal input of the wind speed sensor is compared with the reference voltage of the wind speed sensor at normal temperature are multiplied by the corresponding weights respectively and then are overlapped with the signal input of the hydrogen sulfide or carbon monoxide sensor, the obtained result is the result taking the error of the hydrogen sulfide and the carbon monoxide sensor caused by the influence of the temperature and the wind speed into consideration, the result is more accurate, wherein the weight is determined by the amplification factor of the circuit, and the total weight is 1
Example 2
As shown in fig. 3, an experimental system comprises the multi-parameter optimization measurement and control circuit, the data acquisition controller, the temperature and humidity correction circuit, the current sensor, the humidifier, the refrigerator, the fan and the industrial personal computer, wherein the multi-parameter optimization measurement and control circuit is used for eliminating errors caused by the influence of hydrogen sulfide and carbon monoxide along with temperature and wind speed, the temperature and humidity correction circuit is used for eliminating errors caused by the decrease of pressure and illuminance along with the increase of temperature and humidity, the input end of the temperature and humidity correction circuit is connected with a plurality of sensors, the output end of the temperature and humidity correction circuit is connected with the data acquisition controller, the input end of the multi-parameter optimization measurement and control circuit is connected with the plurality of sensors, the output end of the multi-parameter optimization measurement and control circuit is connected with the data acquisition controller, and the humidifier, the refrigerator and the fan are all connected with the data acquisition controller through switches; the industrial personal computer is connected with the data acquisition controller and used for man-machine interaction. The data acquisition controller is characterized in that the model of the data acquisition controller is MR-M8440-D, the model of the humidifier is ERS-890L, the model of the refrigerator is ALT-18, the fan adopts an S-LP low-voltage series fan, the model of the industrial personal computer is IPC277D, and the model of the current sensor is HDCTK-50.
With continued reference to fig. 3, the experimental system further includes a temperature sensor, a humidity sensor, an air pressure sensor, and an illumination sensor, where the temperature sensor, the humidity sensor, the air pressure sensor, and the illumination sensor are respectively connected with the input end of the temperature and humidity correction circuit; the temperature sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the temperature sensor at normal temperature; the humidity sensor is also connected with the data acquisition controller and used for acquiring the reference voltage of the humidity sensor at normal temperature. The temperature sensor, the humidity sensor, the air pressure sensor and the illumination sensor are used for providing input data of the temperature and humidity correction circuit, and the temperature and humidity correction circuit processes the data according to the input signals and corrects deviation.
With continued reference to fig. 3, the experimental system further includes a wind speed sensor, a hydrogen sulfide sensor, and a carbon monoxide sensor, where the temperature sensor, the wind speed sensor, the hydrogen sulfide sensor, and the carbon monoxide sensor are respectively connected with the input end of the multi-parameter optimization measurement and control circuit; the wind speed sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the wind speed sensor at normal temperature. The wind speed sensor, the hydrogen sulfide sensor and the carbon monoxide sensor are used for providing input data of the multi-parameter optimization measurement and control circuit, and the multi-parameter optimization measurement and control circuit processes the data according to the input signals and corrects deviation.
The sensor selections are shown in the following table:
table 1 sensor technology parameter table
With continued reference to fig. 3, the experimental system further includes a power supply, an alarm, and a camera, where the power supply is connected with the data acquisition controller to supply power to the system; the alarm is connected with the data acquisition controller through a switch; the camera is connected with the industrial personal computer. In the embodiment of the invention, the data acquisition controller adopts an Ethernet controller with 8 paths of data acquisition interfaces (8 paths of 0-5V), 4 paths of switching value input interfaces and 4 paths of switching value output interfaces; the alarm adopts a 24V audible and visual alarm; the camera adopts a 500 ten thousand-pixel color USB3.0 camera; the fan adopts a 24 inch stainless steel powerful fan; the power supply adopts a 24V5A switching power supply; the refrigerator adopts an industrial air cooler; the humidifier adopts a 24L industrial humidifier. The power supply is of model YL-P5-A, and the alarm is of model SF-500A.
According to the experimental system provided by the technical scheme, through setting a complete set of experimental system, the deviation of the measured data of the sensor is easily caused by the change of temperature, humidity and wind speed in the experimental environment, and the temperature and humidity correction circuit for eliminating the error caused by the decrease of pressure and illuminance along with the increase of temperature and humidity and the multi-parameter optimization measurement and control circuit for eliminating the error caused by the influence of hydrogen sulfide and carbon monoxide along with the temperature and wind speed are set, so that the data deviation caused by the change of temperature, humidity and wind speed in the experimental environment is eliminated, and the experimental data is more accurate.
Example 3
As shown in fig. 4, corresponding to embodiment 2 of the present invention, embodiment 3 of the present invention further provides an experimental method applied to the experimental system described in embodiment 1, the method comprising:
Step one: switching on a power supply, switching on an industrial personal computer, controlling a fan, a humidifier and a refrigerator by using the industrial personal computer, changing the wind speed, the temperature and the humidity, and respectively performing a fire-free experiment, a smoldering experiment and an open flame experiment; the application provides an experimental system and a method for researching influence of a multi-disaster coupling environment on a sensor, which belong to the existing relatively mature experimental technology, wherein the experimental process of the non-fire experiment, the smoldering experiment and the open fire experiment is briefly introduced below without excessive expansion of the non-fire experiment, the smoldering experiment and the open fire experiment, and the non-fire experiment comprises the following steps: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of no fire are analyzed. The influence rules are obtained by manually carrying out statistical analysis according to experimental results, the specific rules are different according to the experimental results, and the summary of the experimental rules is not in the protection scope of the application.
The smoldering test includes: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the smoldering condition are analyzed.
The open flame experiment includes: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of open fire are analyzed.
Step two: the temperature and humidity correction circuit is utilized to eliminate errors caused by the decrease of pressure and illuminance along with the increase of temperature and humidity, and the multi-parameter optimization measurement and control circuit is utilized to eliminate errors caused by the influence of hydrogen sulfide and carbon monoxide along with temperature and wind speed; the method comprises the following steps: the temperature and humidity correction circuit eliminates errors caused by the fact that the pressure and the illuminance decrease along with the temperature and humidity increase by using a formula V po＝VP+A1(Vt-Vtr)/2+3/4*A2(Vh-Vhr); wherein V po represents an output signal corrected by the temperature and humidity correction circuit; v P represents a pressure sensor or illumination sensor signal input; a1 and A2 each represent a signal amplification factor and a1+a2=1, a1>0, a2>0; v t represents a temperature signal input, V tr represents a reference voltage of the temperature sensor at normal temperature, V h represents a humidity signal input, and V hr represents a reference voltage of the humidity sensor at normal temperature;
the multi-parameter optimization measurement and control circuit eliminates errors caused by the influence of the temperature and the wind speed on the hydrogen sulfide and the carbon monoxide by using a formula V so＝Vs+3/4*A3(Vt-Vtr)-A4(Vw-Vwr)/2; wherein V so represents an output signal corrected by the multi-parameter optimization measurement and control circuit; v s represents a hydrogen sulfide sensor or carbon monoxide sensor signal input; a3 and A4 each represent a signal amplification factor and a3+a4=1, a3>0, a4>0; v w represents a wind speed signal input, and V wr represents a reference voltage of the wind speed sensor at normal temperature. It should be noted that, the formula is derived according to the circuit structure, and the structure of the specific circuit and the derivation of the formula are described in embodiment 1, which is not repeated here.
Step three: and analyzing the data obtained under different working conditions by adopting a statistical analysis method to obtain the change rules of temperature, humidity, air pressure, illuminance, hydrogen sulfide and carbon monoxide under the multi-disaster coupling environment, further obtaining the influence rules of the multi-disaster coupling environment on different types of fires, and completing the experiment. The statistical analysis method belongs to the existing analysis methods, and comprises an index comparison analysis method, a grouping analysis method, a time series and dynamic analysis method and an index analysis method. Meanwhile, the experimental system and the method consider the data deviation generated by the change of temperature, humidity and wind speed in the experimental environment, and deduce and solve the data deviation through a correction circuit and a circuit formula.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The experimental system is characterized by comprising a multi-parameter optimization measurement and control circuit, a data acquisition controller, a temperature and humidity correction circuit, a current sensor, a humidifier, a refrigerator, a fan and an industrial personal computer, wherein the input end of the temperature and humidity correction circuit is connected with a plurality of sensors, the output end of the temperature and humidity correction circuit is connected with the data acquisition controller, the input end of the multi-parameter optimization measurement and control circuit is connected with a plurality of sensors, the output end of the multi-parameter optimization measurement and control circuit is connected with the data acquisition controller, the output end of the current sensor is connected with the data acquisition controller, and the humidifier, the refrigerator and the fan are all connected with the data acquisition controller through switches; the industrial personal computer is connected with the data acquisition controller;
The multi-parameter optimization measurement and control circuit comprises sequentially numbered resistors R1 to R20 and sequentially numbered amplifiers U1 to U5, wherein one end of the resistor R1 is connected with a temperature sensor, one end of the resistor R7 is connected with a reference voltage of the temperature sensor at normal temperature, the other end of the resistor R1 is connected with one end of a resistor R2 and the same-phase end of the amplifier U1, the other end of the resistor R7 is connected with one end of a resistor R8 and the opposite-phase end of the amplifier U1, and the other end of the resistor R2 is connected with the output end of the amplifier U1; one end of the resistor R3 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R3 is connected with the in-phase end of the amplifier U2 and one end of the resistor R4, one end of the resistor R9 is connected with the output end of the amplifier U1, the other end of the resistor R9 is connected with one end of the resistor R10 and the inverting end of the amplifier U2, and the other end of the resistor R4 is connected with the output end of the amplifier U2; one end of the resistor R5 is connected with the output end of the amplifier U2, the other end of the resistor R5 is connected with the same-phase end of the amplifier U3, and one end of the resistor R11 is connected with the opposite-phase end of the amplifier U3; one end of the resistor R12 is connected with the wind speed sensor, one end of the resistor R17 is connected with the reference voltage of the wind speed sensor at normal temperature, the other end of the resistor R12 is connected with one end of the resistor R13 and the same-phase end of the amplifier U4, the other end of the resistor R17 is connected with one end of the resistor R18 and the opposite-phase end of the amplifier U4, and the other end of the resistor R13 is connected with the output end of the amplifier U2; one end of the resistor R14 is connected with the hydrogen sulfide sensor or the carbon monoxide sensor, the other end of the resistor R14 is connected with the in-phase end of the amplifier U5, one end of the resistor R19 is connected with the output end of the amplifier U4, the other end of the resistor R19 is connected with one end of the resistor R15, the other end of the resistor R15 is connected with the output end of the amplifier U5, and one end of the resistor R20 is connected with the inverting end of the amplifier U5; one end of the resistor R16 is connected with the output end of the amplifier U5, the other end of the resistor R16 is connected with one end of the resistor R6, the other end of the resistor R6 is connected with the output end of the amplifier U3, the other end of the resistor R8, the other end of the resistor R10, the other end of the resistor R11, the other end of the resistor R18 and the other end of the resistor R20 are all grounded, and the output end of the amplifier U3 is an output signal end of the multi-parameter optimization measurement and control circuit;
the temperature sensor, the humidity sensor, the air pressure sensor and the illumination sensor are respectively connected with the input end of the temperature and humidity correction circuit; the temperature sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the temperature sensor at normal temperature; the humidity sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the humidity sensor at normal temperature;
The temperature sensor, the wind speed sensor, the hydrogen sulfide sensor and the carbon monoxide sensor are respectively connected with the input end of the multi-parameter optimization measurement and control circuit; the wind speed sensor is also connected with the data acquisition controller and is used for acquiring the reference voltage of the wind speed sensor at normal temperature.
2. The experimental system of claim 1, further comprising a power supply, an alarm, and a camera, wherein the power supply is connected to the data acquisition controller for supplying power to the system; the alarm is connected with the data acquisition controller through a switch; the camera is connected with the industrial personal computer.
3. An experimental method, characterized in that it is applied to the experimental system according to any one of claims 1-2, comprising:
Step one: switching on a power supply, switching on an industrial personal computer, controlling a fan, a humidifier and a refrigerator by using the industrial personal computer, changing the wind speed, the temperature and the humidity, and respectively performing a fire-free experiment, a smoldering experiment and an open flame experiment;
Step two: the temperature and humidity correction circuit is utilized to eliminate errors caused by the decrease of pressure and illuminance along with the increase of temperature and humidity, and the multi-parameter optimization measurement and control circuit is utilized to eliminate errors caused by the influence of hydrogen sulfide and carbon monoxide along with temperature and wind speed;
step three: and analyzing the data obtained under different working conditions by adopting a statistical analysis method to obtain the change rules of temperature, humidity, air pressure, illuminance, hydrogen sulfide and carbon monoxide under the multi-disaster coupling environment, further obtaining the influence rules of the multi-disaster coupling environment on different types of fires, and completing the experiment.
4. An experimental method according to claim 3, wherein said temperature and humidity correction circuit uses the formulaThe error caused by the decrease of the pressure and the illuminance along with the increase of the temperature and the humidity is eliminated; wherein/>Representing the output signal corrected by the temperature and humidity correction circuit; /(I)Representing a pressure sensor or an illumination sensor signal input; /(I)And/>All represent signal amplification and/>，/>，/>；/>Representing temperature signal input,/>Representing the reference voltage of the temperature sensor at normal temperature,/>Representing humidity signal input,/>Representing the reference voltage of the humidity sensor at normal temperature;
The multi-parameter optimization measurement and control circuit utilizes a formula Eliminating errors caused by the influence of hydrogen sulfide and carbon monoxide along with temperature and wind speed; wherein/>Representing the corrected output signal of the multi-parameter optimization measurement and control circuit; /(I)A signal input representing a hydrogen sulfide sensor or a carbon monoxide sensor; /(I)And/>All represent signal amplification and/>，/>，/>；/>Representing wind speed signal input,/>Representing the reference voltage of the wind speed sensor at normal temperature.
5. An assay according to claim 3, wherein the fireless assay comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of no fire are analyzed.
6. An assay according to claim 3, wherein the smoldering assay comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under smoldering conditions are analyzed.
7. An assay according to claim 3 wherein the open flame assay comprises: according to the wind speed range of 0-30m/s, the stepping speed of 5m/s, the temperature range of-10-50 ℃, the stepping speed of 5 ℃ and the humidity range of 10-90 RH), the wind speed, the temperature and the humidity are changed, the data of a wind speed sensor, a temperature sensor, a humidity sensor, an air pressure sensor, an illumination sensor, a hydrogen sulfide sensor and a carbon monoxide sensor are collected, and the influence rules of the wind speed, the temperature and the humidity on various sensors under the condition of open fire are analyzed.
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