CN103472192A - Intelligent positioning method of gas sensor - Google Patents
Intelligent positioning method of gas sensor Download PDFInfo
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- CN103472192A CN103472192A CN2013104421433A CN201310442143A CN103472192A CN 103472192 A CN103472192 A CN 103472192A CN 2013104421433 A CN2013104421433 A CN 2013104421433A CN 201310442143 A CN201310442143 A CN 201310442143A CN 103472192 A CN103472192 A CN 103472192A
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Abstract
The invention provides an intelligent positioning method of a gas sensor. By randomly mounting a gas sensor in a position and then releasing a certain amount of monitoring gas at a monitoring point, the method comprises the following steps: (1) acquiring N concentration values collected by the gas sensor; (2) calculating according to a sample function correlation calculation formula in mathematical statistics to obtain a statistical amount of the N concentration values; and (3) judging whether the calculated statistical amount falls into a statistical amount reference range, if so, indicating that the gas sensor is mounted in a correct position, otherwise indicating that the gas sensor is not mounted in a correct position. According to the invention, sensor data is sampled by using the sample function in mathematical statistics, and correctness of the mounting position of the sensor is judged by analyzing the statistical amount of the sample, thereby avoiding potential safety hazard caused by human factors.
Description
Technical field
The present invention relates to the security monitoring field, especially relate to a kind of gas sensor intelligent locating method.
Background technology
Safety monitoring system carries out the Monitoring Data collection by sensor to monitoring site, and the data value then returned according to sensor judges on-the-spot safety case, in safety monitoring system, use at most and most critical be gas sensor.From the principle of safety monitoring system, whether gas sensor can collect data accurately will directly affect the purpose that can system play security monitoring.The installation site of gas sensor hardware quality and gas sensor is directly to affect the key factor that can gas sensor collect accurate data, and when the design safety supervisory system, gas sensor has just chosen, its hardware performance all can meet the demands, thereby can the decision gas sensor collect the key factor of accurate data, just by the installation site of gas sensor, is determined.But, the method that safety monitoring system does not all judge for the gas sensor correctness of position of installing at present, installed with feeling and the gas on-site installation of sensors is all installation personnel, will often exist so artificially gas sensor is arranged on to the phenomenon that some can't monitor important measured value position.The installation site of gas sensor is bad will cause: when measured value exceeds standard at the scene, supervisory system can not monitor the alarm that the gas sensor measured value exceeds standard, and causes security incident.
Summary of the invention
The object of the invention is to: for fear of artificially gas sensor being arranged on to the existence that some can't monitor this phenomenon in position of each important measured value, provide a kind of gas sensor intelligent locating method.
Goal of the invention of the present invention is achieved through the following technical solutions:
A kind of gas sensor intelligent locating method, is characterized in that, at first by the gas sensor random installation a position, then in monitoring point, discharge a certain amount of gas-monitoring, more then carry out following steps:
(1) obtain N the concentration value that gas sensor gathers;
(2) calculate the statistic of N concentration value according to sample function correlation computations formula in mathematical statistics;
(3) whether the statistic that judgement calculates drops in the statistic term of reference, if so, illustrates that gas sensor is arranged on tram, otherwise the explanation gas sensor is not arranged on tram.
Preferably, a described N concentration value is the concentration value that minute different time points gathers from gas sensor.
Preferably, the value of described N is 100～1000.
Preferably, described statistic comprises sample average, sample variance and the sample standard deviation of N concentration value, and corresponding formula is respectively:
Sample average:
sample variance:
Sample standard deviation:
in formula, X
imean i concentration value in N concentration value.
Preferably, described a certain amount of be 0.1L.
Preferably, the term of reference of sample average statistic is that volume ratio is 0.00008～0.00013, and the term of reference of sample variance statistic is 0.001～0.0015, and the term of reference of sample standard deviation statistic is 0.03～0.038.
Compared with prior art, the inventive method utilizes the sample function in mathematical statistics to be sampled to sensing data, is analyzed the correctness of judgement installation of sensors position, the potential safety hazard of avoiding human factor to cause by the statistic to sample.
The accompanying drawing explanation
Fig. 1 is the position view of gas sensor of the present invention in coal mine safety monitoring system;
Fig. 2 is module diagram of the present invention;
Fig. 3 is the workflow diagram of gas sensor of the present invention position Intelligent Recognition.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Embodiment
As shown in Figure 1, what coal mine safety monitoring system adopted is distributed monitoring system, in each substation of down-hole (number 1,2,3..N), all installed some sensors (number 1,2 ... .N), each sensor is uploaded to underground substation by the signal of collection, underground substation is uploaded to signal the singel well system main frame again, and the singel well system main frame is uploaded to long-range comprehensive monitoring platform by signal by switch again.The present invention is mainly used in determining the concrete locus of these sensors in coal mine safety monitoring system.
Modular structure of the present invention as shown in Figure 2, comprises reference statistical amount module, sample collection module, sample statistics module and location identification module.As can be seen from the figure, the sample collection module is responsible for gathering the gas sensor sample data from the gas sensor data bus, the sample statistics module is added up the data of sample collection module collection, give location identification module by statistics again, the reference statistical amount that location identification module provides statistics and reference statistical amount module compares, and judges whether gas sensor is arranged on correct position.
Each module is described as follows:
Reference statistical amount module provides overall reference statistical amount for system, for actual samples, sample statistic is contrasted, and the reference value of some statistics that provide;
The sample collection module obtains n sample for the sample that the extraction capacity is n (n>100) from overall X, divides n different time points to gather gas sensor data;
The sample statistics module is carried out the calculating of statistic to the sample of sample collection module collection;
Location identification module is arranged, is analyzed, is studied the statistics of sample statistics module, some probability characteristics of overall X is drawn an inference, then contrasted with default reference statistical amount, thereby judge whether gas sensor is arranged on correct position.
Recognition methods flow process of the present invention as shown in Figure 3, at first by the gas sensor random installation a position, then discharge a certain amount of gas-monitoring (data such as a certain amount of 0.1L of being chosen for, 0.2L, the present embodiment is chosen 0.1L) in monitoring point, more then carry out following steps:
Step 1: obtain N the concentration value X that gas sensor gathers
1, X
2... X
n(establishing the whole measured value of gas sensor is overall X).This step is implemented by the sample collection module.
Wherein, N concentration value is the concentration value that minute different time points gathers from gas sensor; The span of N is 100～1000, and the present embodiment gets 100.
Step 2: the statistic that calculates N concentration value according to sample function correlation computations formula in mathematical statistics.This step is implemented by the sample statistics module.
Statistic comprises sample average, sample variance and the sample standard deviation of N concentration value, and corresponding formula is respectively:
Sample average:
sample variance:
Sample standard deviation:
in formula, X
imean i concentration value in N concentration value.
Can also calculate some other statistic data in this step, and corresponding statistic reference value is set, then be contrasted.
Step 3: whether the statistic that judgement calculates drops in the statistic term of reference, if so, illustrates that gas sensor is arranged on tram, otherwise the explanation gas sensor is not arranged on tram.This step is implemented by location identification module.
Wherein, the statistic term of reference is provided by sample reference statistical amount module, comprising:
The average term of reference:
(expression formula 1)
Variance term of reference: S
2 1<S
2<S
2 2(expression formula 2)
Standard deviation term of reference: S
1<S<S
2(expression formula 3)
In the present embodiment, the term of reference of sample average statistic is that volume ratio is 0.00008～0.00013, and the term of reference of sample variance statistic is 0.001～0.0015, and the term of reference of sample standard deviation statistic is 0.03～0.038.
Whether sample statistic average, variance, the standard deviation of calculating in location identification module determining step two meets the statistic scope of the expression formula 1,2,3 that sample reference statistical amount module provides, if all meet, illustrate that gas sensor is mounted in correct position, otherwise the explanation gas sensor is not arranged on correct position.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, it should be pointed out that all any modifications of doing within the spirit and principles in the present invention, be equal to replacement and improvement etc., within all should being included in protection scope of the present invention.
Claims (6)
1. a gas sensor intelligent locating method, is characterized in that, at first by the gas sensor random installation a position, then in monitoring point, discharge a certain amount of gas-monitoring, more then carry out following steps:
(1) obtain N the concentration value that gas sensor gathers;
(2) calculate the statistic of N concentration value according to sample function correlation computations formula in mathematical statistics;
(3) whether the statistic that judgement calculates drops in the statistic term of reference, if so, illustrates that gas sensor is arranged on tram, otherwise the explanation gas sensor is not arranged on tram.
2. a kind of gas sensor intelligent locating method according to claim 1, is characterized in that, a described N concentration value is the concentration value that minute different time points gathers from gas sensor.
3. a kind of gas sensor intelligent locating method according to claim 1, is characterized in that, the value of described N is 100～1000.
4. a kind of gas sensor intelligent locating method according to claim 1, is characterized in that, described statistic comprises sample average, sample variance and the sample standard deviation of N concentration value, and corresponding formula is respectively: sample average:
Sample variance:
Sample standard deviation:
in formula, X
imean i concentration value in N concentration value.
5. a kind of gas sensor intelligent locating method according to claim 4, is characterized in that, described a certain amount of be 0.1L.
6. a kind of gas sensor intelligent locating method according to claim 5, it is characterized in that, the term of reference of sample average statistic is that volume ratio is 0.00008～0.00013, the term of reference of sample variance statistic is 0.001～0.0015, and the term of reference of sample standard deviation statistic is 0.03～0.038.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111268526A (en) * | 2018-12-05 | 2020-06-12 | 奥的斯电梯公司 | Vibration monitoring beacon mode detection and transition |
| CN113063450A (en) * | 2021-03-18 | 2021-07-02 | 浙江禾川科技股份有限公司 | Sensor position adjusting method, device, equipment and storage medium in encoder |
| CN113902068A (en) * | 2021-09-17 | 2022-01-07 | 国能网信科技(北京)有限公司 | Coal mine underground sensor deployment method and device, storage medium and electronic equipment |
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| CN103206967A (en) * | 2012-01-16 | 2013-07-17 | 联想(北京)有限公司 | Method and device for confirming set position of sensor |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111268526A (en) * | 2018-12-05 | 2020-06-12 | 奥的斯电梯公司 | Vibration monitoring beacon mode detection and transition |
| CN111268526B (en) * | 2018-12-05 | 2021-08-03 | 奥的斯电梯公司 | Vibration monitoring beacon mode detection and transition |
| US11613445B2 (en) | 2018-12-05 | 2023-03-28 | Otis Elevator Company | Vibration monitoring beacon mode detection and transition |
| US11912533B2 (en) | 2018-12-05 | 2024-02-27 | Otis Elevator Company | Vibration monitoring beacon mode detection and transition |
| CN113063450A (en) * | 2021-03-18 | 2021-07-02 | 浙江禾川科技股份有限公司 | Sensor position adjusting method, device, equipment and storage medium in encoder |
| CN113063450B (en) * | 2021-03-18 | 2022-11-04 | 浙江禾川科技股份有限公司 | Method, device and equipment for adjusting position of sensor in encoder and storage medium |
| CN113902068A (en) * | 2021-09-17 | 2022-01-07 | 国能网信科技(北京)有限公司 | Coal mine underground sensor deployment method and device, storage medium and electronic equipment |
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Effective date of registration: 20210513 Address after: No. 6, Jiuhua Road, khuchuang Park, Mianyang, Sichuan Patentee after: Sichuan Jiuzhou Investment Holding Group Co.,Ltd. Address before: No. 6, Jiuhua Road, khuchuang Park, Mianyang, Sichuan Patentee before: SICHUAN JIUZHOU ELECTRIC GROUP Co.,Ltd. |
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