CN112504332B - Composite sensing detection and intelligent control method, system and device - Google Patents
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- 239000002131 composite material Substances 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000000758 substrate Substances 0.000 claims description 18
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 17
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 17
- 238000011897 real-time detection Methods 0.000 claims description 15
- 230000001681 protective effect Effects 0.000 claims description 11
- 239000000779 smoke Substances 0.000 claims description 11
- 229910000838 Al alloy Inorganic materials 0.000 claims description 3
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- 230000004927 fusion Effects 0.000 abstract description 2
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- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
- G01N33/0065—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means using more than one threshold
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0068—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a computer specifically programmed
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Abstract
The invention discloses a composite sensing detection and intelligent control method and a composite sensing detection and intelligent control system, which comprise sensing data processing, a relative value and characteristic value extraction algorithm, alarm grade judgment and a multi-sensor data intelligent fusion algorithm, and realize comprehensive judgment and early warning of detection signals, thereby reducing misjudgment. The invention also provides a composite sensing detection device which is arranged in the battery box, detects the characteristic signal generated by early runaway of the battery, and realizes early, quick and accurate early warning of battery fire by composite study and judgment of multiple sensing signals.
Description
Technical Field
The invention relates to the technical field of sensor devices, in particular to a composite sensing detection and intelligent control method, system and device.
Background
With the continuous development of new energy technologies, a plurality of countries in the world have clearly guided the fuel vehicle sale prohibition schedule at present, so that the development of new energy automobile technologies is changing day by day, and the market share of various types of new energy automobiles (passenger cars, passenger cars and special vehicles) is continuously increased. In case of safety problems and fire hazards of the power battery of the electric vehicle, the whole vehicle fire hazard is easily caused, personal safety and property safety of personnel on the vehicle are seriously threatened, the current fire hazard early warning technology of the power battery of the electric vehicle generally adopts temperature, voltage, gas component concentration and the like as detection objects, and only when the battery breaks down, an early warning signal can be sent out during working, so that early hidden dangers of the fire hazard can not be early warned in advance.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a composite sensing detection and intelligent control method, system and device.
The invention provides a composite sensing detection and intelligent control method, a system and a device, comprising the following steps:
s1, respectively acquiring multiple groups of detection data acquired by multiple sensors in the system;
s2, obtaining a plurality of groups of alarm grades according to the plurality of groups of detection data respectively;
and S3, obtaining the final alarm grade in the system according to the plurality of groups of alarm grades.
Preferably, a plurality of groups of alarm levels are obtained according to the plurality of groups of detection data, specifically:
calculating a corresponding detection value group according to each group of detection data, wherein the detection value group comprises a plurality of detection values, respectively determining a plurality of sub-alarm levels corresponding to the detection values according to the detection value group, and determining an alarm level corresponding to the group of detection data according to the sub-alarm levels;
and determining the final alarm level of the system according to the alarm levels of the multiple groups of detection data.
Preferably, the corresponding detection value group is calculated according to each group of detection data, specifically:
the detection value group comprises detection relative values and detection characteristic values, m detection time points T0, … … and tm are sequentially selected in unit time T, the real-time detection relative value Ytj at time tj is Qtj-Qt0, the real-time detection characteristic value is Ztj is Qtj-Qt (j-1), j is more than or equal to 0 and less than or equal to m, Qtj is a real-time detection value at time tj, and Qt0 is a real-time detection value at time T0;
the relative detection value YT in the unit time T is Qtj-Qt0, and the characteristic detection value ZT is max { ZT1, ZT2, ZT3, ZT4 · Ztm-1, Ztm }.
Preferably, a plurality of sub-alarm levels corresponding to the plurality of detection values are respectively determined according to the detection value group, and an alarm level corresponding to the group of detection data is determined according to the plurality of sub-alarm levels, specifically:
and determining a relative value sub-alarm level PY according to the detection relative value, and determining a characteristic value alarm level PZ according to the detection characteristic value, wherein the alarm level P of the group of detection data is min { PY, PZ }.
Preferably, the method for obtaining the final alarm level in the system according to the alarm levels of the multiple groups of detection data specifically comprises the following steps:
and counting the alarm number of the multiple groups of alarm levels, and selecting the alarm level with the maximum alarm number as the final alarm level of the system.
The composite sensing detection and intelligent control method provided by the invention comprises sensing data processing, a relative value and characteristic value extraction algorithm, alarm grade judgment and a multi-sensor data intelligent fusion algorithm, so that comprehensive judgment and early warning of detection signals are realized, and misjudgment is reduced.
The invention also provides a composite intelligent algorithm sensing detection system, which comprises:
a plurality of sensors;
a processor;
a memory; and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the composite sensing and smart control method described above.
Preferably, the plurality of sensors comprises one or more of a carbon monoxide sensor, a VOC sensor, a smoke sensor, a pressure sensor, a temperature sensor.
In the invention, the technical effect of the proposed composite intelligent algorithm sensing detection system is similar to that of the control method, and therefore, the detailed description is omitted.
The invention also provides a composite sensing detection device which comprises the composite intelligent algorithm sensing detection system.
Preferably, the method further comprises the following steps: a PCB substrate and a protective cover;
the PCB substrate is provided with a chip carrying the composite intelligent algorithm sensing detection system, the sensor is installed on the PCB substrate, the protective cover covers the outside of the PCB substrate, the sensor and the chip are located in the protective cover, the protective cover is provided with air holes, and stamp holes are arranged at the edge of the PCB substrate to form an air guide channel between the end part of the PCB substrate and the protective cover.
Preferably, the protective cover is made of an aluminum alloy material, and is provided with an air hole array.
The composite sensing detection device is arranged in the battery box, detects the characteristic signal generated by early runaway of the battery, and realizes early, quick and accurate early warning of the battery fire by compositely studying and judging the multiple sensing signals.
Drawings
Fig. 1 is a flowchart illustrating steps of a composite sensing detection and intelligent control method according to the present invention.
Fig. 2 is a schematic structural diagram of a composite sensing and detecting device according to the present invention.
Detailed Description
As shown in fig. 1 and 2, fig. 1 is a flow chart illustrating steps of a composite sensing and detecting and intelligent control method according to the present invention, and fig. 2 is a schematic structural diagram illustrating a composite sensing and detecting device according to the present invention.
Referring to fig. 1, the present invention provides a composite sensing detection and intelligent control method, which includes:
s1, respectively acquiring multiple groups of detection data acquired by multiple sensors in the system;
s2, obtaining a plurality of groups of alarm grades according to the plurality of groups of detection data respectively;
and S3, obtaining the final alarm grade in the system according to the plurality of groups of alarm grades.
Correspondingly, this embodiment further provides a composite intelligent algorithm sensing detection system, including:
a plurality of sensors;
a processor;
a memory; and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the composite sensing and smart control method described above.
In a specific control mode, obtaining a plurality of groups of alarm levels according to the plurality of groups of detection data, specifically:
calculating a corresponding detection value group according to each group of detection data, wherein the detection value group comprises a plurality of detection values, respectively determining a plurality of sub-alarm levels corresponding to the detection values according to the detection value group, and determining an alarm level corresponding to the group of detection data according to the sub-alarm levels;
and determining the final alarm level of the system according to the alarm levels of the multiple groups of detection data.
In a further specific embodiment, the calculating a corresponding detection value group according to each group of detection data specifically includes:
the detection value group comprises detection relative values and detection characteristic values, m detection time points T0, … … and tm are sequentially selected in unit time T, the real-time detection relative value Ytj at time tj is Qtj-Qt0, the real-time detection characteristic value is Ztj which is Qtj-Qt (j-1), j is more than or equal to 0 and less than or equal to m, Qtj is a real-time detection value at time tj, and Qt0 is a real-time detection value at time T0;
the relative detection value YT in the unit time T is Qtj-Qt0, and the characteristic detection value ZT is max { ZT1, ZT2, ZT3, ZT4 · Ztm-1, Ztm }.
Further, according to the detection value group, a plurality of sub-alarm levels corresponding to the detection values are respectively determined, and according to the sub-alarm levels, an alarm level corresponding to the group of detection data is determined, specifically:
and determining a relative value sub-alarm level PY according to the detection relative value, and determining a characteristic value alarm level PZ according to the detection characteristic value, wherein the alarm level P of the group of detection data is min { PY, PZ }.
In other specific embodiments, obtaining a final alarm level in the system according to the alarm levels of the plurality of groups of detection data specifically includes:
and counting the alarm number of the multiple groups of alarm levels, and selecting the alarm level with the maximum alarm number as the final alarm level of the system.
In a specific selection of sensors, the plurality of sensors includes one or more of a carbon monoxide sensor, a VOC sensor, a smoke sensor, a pressure sensor, a temperature sensor.
In the actual detection method, a carbon monoxide sensor is taken as an example:
sequentially selecting m detection time points T0, … … and tm within unit time T, wherein a certain time point tj (0 is more than j and is more than or equal to m), the real-time detection value of the carbon monoxide sensor is Qatj, the real-time detection relative value Yati is Qtj-Qt0, and the real-time detection characteristic value Zatj is Qatj-Qat (j-1);
the detected relative value Ya of the carbon monoxide sensor in the time T is Qatj-Qat0, and the detected characteristic value ZaT is max { Zat1, Zat2, Zat3, Zat4 · Zatm-1, Zatm }.
Presetting alarm thresholds corresponding to the detection relative values as Ya0, … …, Yak, when Ya is less than Ya0, the sub-alarm level PYa of the relative value of the carbon monoxide sensor is zero level, when Ya is not less than Ya0 and less than PYa1, the sub-alarm level PYa is first level, when Y1 is not less than Ya and less than Y2, the sub-alarm level PYa is second level, when Ya is not less than Ya2 and less than Ya3, the sub-alarm level PYa is third level, and the like.
When the alarm threshold values corresponding to the detection characteristic values are preset as Za0, … …, Zak, and Za is smaller than Za0, the sub alarm level PZa of the carbon monoxide sensor characteristic value is zero level, when Za0 is larger than or equal to Za and smaller than Za1, the sub alarm level PZa is first level, when Za1 is larger than or equal to Za and smaller than Za2, the sub alarm level PZa is second level, when Za2 is larger than or equal to Za and smaller than Za3, the sub alarm level PZa is third level, and so on.
The final alarm level Pa for the carbon monoxide sensor is min { PYa, PZa }.
Similarly, the VOC alarm level Pb, the smoke alarm level Pc, the pressure alarm level Pd, and the temperature alarm level Pe are obtained, and the alarm number of each alarm level is counted, for example, the number of zero-level alarm levels is K0, the number of first-level alarm levels is K1, the number of second-level alarm levels is K2, the number of third-level alarms is K3, and the alarm level P of the system of the present embodiment is the alarm level with the largest value among K0, K1, K2, and K3.
The above control method is further illustrated by the following cases:
for example, the carbon monoxide sample value during time T is: qa ═ {20, 30, 20, 50, 60} ppm;
presetting a carbon monoxide alarm relative alarm threshold Ya 0-0, Ya 1-10, Ya 2-20 and Ya 3-30;
presetting a carbon monoxide alarm characteristic alarm threshold value Za 0-0, Za 1-10, Za 2-20 and Za 3-30;
the VOC samples over time T were: qb {20, 40, 10, 20, 60} ppm;
presetting VOC alarm relative alarm thresholds Yb 0-0, Yb 1-40, Yb 2-80 and Yb 3-120;
presetting VOC alarm characteristic alarm threshold Zb 0-0, Zb 1-20, Zb 2-40 and Zb 3-60;
the smoke samples over time T are: qc ═ {0.1, 0.3, 0.1, 0.5, 0.6 }% obs/m;
presetting relative alarm thresholds Yc0, Yc1, Yc2 and Yc3, wherein the relative alarm thresholds Yc0, Yc1, Yc2 and Yc3 are 0.4 and 0.6 respectively;
presetting smoke alarm characteristic alarm threshold Zc0 ═ 0, Zc1 ═ 0.2, Zc2 ═ 0.4, and Zc3 ═ 0.6;
the pressure samples over time T are: qd ═ 101, 101, 101.5, 101.6, 101.4} ppm;
presetting a pressure alarm relative alarm threshold Yd 0-0, Yd 1-0.2, Yd 2-0.4 and Yd 3-0.6;
presetting a pressure alarm characteristic alarm threshold Zd 0-0, Zd 1-0.2, Zd 2-0.4 and Zd 3-0.6;
the temperature samples over time T are: qe ═ {20.1, 20.2, 20.0, 20.4, 20.5} ° c;
presetting relative alarm thresholds Ye0, Ye1, Ye2 and Ye3, wherein the relative alarm thresholds are 0, 0.4, 0.8 and 1.2;
presetting temperature alarm characteristic alarm thresholds Ze 0-0, Ze 1-0.4, Ze 2-0.8 and Ze 3-1.2;
then, calculating according to the method to obtain the product;
the relative value Ya of carbon monoxide is 60-20 ppm;
a carbon monoxide characteristic value Za ═ max {30-20, 20-30, 50-20, 60-50} ═ max {10, -10, 20, 10} ═ 20 ppm;
carbon monoxide relative alarm rating PaY: second-stage;
a carbon monoxide characteristic alarm rating PaZ; second-stage;
carbon monoxide alarm Pa: second-stage;
the VOC relative value Y is 60-20 ppm;
VOC characteristic value Z ═ max {40-20, 10-40, 20-10, 60-20} ═ max {20, -30, 10, 40} ═ 40 ppm;
VOC relative alarm rating PbY: zero order;
VOC characteristic alarm rating PbZ; a first stage;
VOC alarm grade Pb: zero order;
smoke relative value Y0.6-0.1 0.5% obs/m;
smoke characteristic value Z ═ max {0.3-0.1, 0.1-0.3, 0.5-0.1, 0.6-0.5} ═ max {0.2, -0.2, 0.4, 0.1} -, 0.4% obs/m;
relative smoke alarm rating PcY: second-stage;
a smoke signature alarm rating PcZ; second-stage;
smoke alarm level Pc: second-stage;
the relative pressure value Y is 101.4-101-0.4 KPa;
pressure characteristic value Z ═ max { 101-;
pressure relative alarm level PdY: second-stage;
a pressure characteristic alarm rating PdZ; second-stage;
pressure alarm rating Pd: second-stage;
the relative temperature value Y is 20.5-20.1-0.4 ℃;
temperature characteristic value Z ═ max {20.2-20.1, 20.0-20.2, 20.4-20.0, 20.5-20.4} ═ max {0.1, -0.2, 0.4, 0.1} - [ 0.4 ℃;
temperature relative alarm rating PeY: a first stage;
temperature characteristic alarm rating PeZ: a first stage;
temperature alarm level Pe: a first stage;
the number of the non-alarm sensors K0 is 1;
the number K1 of the first-level alarm sensors is 1;
the number K2 of the secondary alarm sensors is 3;
the number K3 of the three-level alarm sensors is 0;
then, the device final alarm level P: and (5) secondary stage.
Referring to fig. 2, in practical application, a composite sensing and detecting device may be constructed, which is characterized by further comprising: a PCB substrate 2 and a protective cover 1;
a chip carrying the composite intelligent algorithm sensing detection system as claimed in claim 6 or 7 is arranged on the PCB substrate 2, the sensor is mounted on the PCB substrate 2, the protection cover 1 covers the PCB substrate, the sensor and the chip are located in the protection cover 1, air holes are formed in the protection cover 1, stamp holes 11 are formed in the edge of the PCB substrate 2, and an air guide channel is formed between the end portion of the PCB substrate 2 and the protection cover 1.
During the use, on the one hand, the gas in the battery box passes through the stamp hole and gets into in the safety cover from all around, improves the detection efficiency of sensor, and on the other hand, the treater accessible stamp hole realizes carrying out wireless communication with the external world to report the alarm grade, and can adjust the warning threshold value as required.
In the specific design mode of the protective cover, the protective cover 1 is made of aluminum alloy material, and is provided with an air hole array 12.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A composite sensing detection and intelligent control method is characterized by comprising the following steps:
s1, respectively acquiring multiple groups of detection data acquired by multiple sensors in the system;
s2, obtaining a plurality of groups of alarm grades according to the plurality of groups of detection data respectively;
s3, obtaining a final alarm grade in the system according to the plurality of groups of alarm grades;
wherein, according to the multiple groups of detection data, multiple groups of alarm grades are obtained, specifically:
calculating a corresponding detection value group according to each group of detection data, wherein the detection value group comprises a plurality of detection values, respectively determining a plurality of sub-alarm levels corresponding to the detection values according to the detection value group, and determining an alarm level corresponding to the group of detection data according to the sub-alarm levels;
determining the final alarm level of the system according to the alarm levels of the multiple groups of detection data;
wherein, calculate the corresponding detection value group according to every group detection data, specifically be:
the detection value group comprises detection relative values and detection characteristic values, m detection time points T0, … … and tm are sequentially selected in unit time T, the real-time detection relative value Ytj = Qtj-Qt0 at time tj is obtained, the real-time detection characteristic value is Ztj = Qtj-Qt (j-1), wherein j is more than or equal to 0 and less than or equal to m, Qtj is a real-time detection value at time tj, and Qt0 is a real-time detection value at time T0;
the detected relative value in the unit time T is YT = Qtj-Qt0, and the detected characteristic value ZT = max { Zt1, Zt2, Zt3, Zt 4. cndot. Ztm-1, Ztm };
determining a plurality of sub-alarm levels corresponding to a plurality of detection values according to the detection value group respectively, and determining an alarm level corresponding to the group of detection data according to the sub-alarm levels, specifically:
and determining a relative value sub-alarm level PY according to the detection relative value, determining a characteristic value alarm level PZ according to the detection characteristic value, and setting the alarm level P = min { PY, PZ } of the group of detection data.
2. The compound sensing detection and intelligent control method according to claim 1, wherein a final alarm level in the system is obtained according to the alarm levels of the multiple sets of detection data, specifically:
and counting the alarm number of the multiple groups of alarm levels, and selecting the alarm level with the maximum alarm number as the final alarm level of the system.
3. A composite intelligent algorithm sensing detection system is characterized by comprising:
a plurality of sensors;
a processor;
a memory; and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the hybrid sensing & intelligence control method of claim 1 or 2.
4. A hybrid smart-algorithm sensing detection system as claimed in claim 3, wherein the plurality of sensors includes one or more of a carbon monoxide sensor, a VOC sensor, a smoke sensor, a pressure sensor, a temperature sensor.
5. A composite sensor testing device comprising a composite intelligent algorithmic sensor testing system according to claim 3 or 4.
6. A composite sensing probe according to claim 5, further comprising: a PCB substrate (2) and a protective cover (1);
the PCB substrate (2) is provided with a chip carrying the composite intelligent algorithm sensing detection system according to claim 3 or 4, the sensor is installed on the PCB substrate (2), the protection cover (1) covers the outside of the PCB substrate, the sensor and the chip are located in the protection cover (1), the protection cover (1) is provided with air holes, the edge of the PCB substrate (2) is provided with stamp holes (11), and an air guide channel is formed between the end part of the PCB substrate (2) and the protection cover (1).
7. A combined sensing and detection device according to claim 6, characterised in that the protective cover (1) is made of aluminium alloy material and is provided with an array of ventilation holes (12).
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