阅读说明：本技术 一种地下水探测监控系统及探测监控方法 (A kind of underground water detection monitoring system and detection monitoring method ) 是由 李岩涛 韩琳 张慧 罗振江 郝杰 袁春鸿 于 2019-07-08 设计创作，主要内容包括：一种地下水探测监控系统及探测监控方法,方法包括在不加入干扰信号数据的预定周期内,分别采集探测参数数据和监控数据；对不加入干扰信号数据时采集的探测参数数据进行处理；在加入干扰信号数据的同一预定周期内,分别采集探测参数数据和监控数据；对加入干扰信号数据时采集的探测参数数据进行处理；比较分析计算得出的异常情况,如果异常情况的偏差符合标准,则进行异常确认,该方法监控全面,并且可以及时的反应监控情况,保证监控环境的稳定。(A kind of underground water detection monitoring system and detection monitoring method, method include acquiring detecting parameter data and monitoring data respectively in the predetermined period for being added without interference signal data；The detecting parameter data acquired when being added without interference signal data are handled；In the same predetermined period that interference signal data are added, detecting parameter data and monitoring data are acquired respectively；The detecting parameter data acquired when interference signal data are added are handled；The abnormal conditions that comparative analysis is calculated carry out abnormal confirmation if the deviation of abnormal conditions complies with standard, and this method monitoring comprehensively, and timely reaction monitoring situation, guarantee can monitor the stabilization of environment.)

1. a kind of underground water detects monitoring method, which is characterized in that sequence includes the following steps:

1) in the predetermined period for being added without interference signal data, detecting parameter data and monitoring data are acquired respectively；

2) the detecting parameter data acquired when being added without interference signal data are handled, comprising:

(2.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；

(2.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:

3) in the same predetermined period that interference signal data are added, detecting parameter data and monitoring data are acquired respectively；

4) the detecting parameter data acquired when interference signal data are added are handled, comprising:

(4.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；

(4.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:

5) comparison step 2) and 3) in analytical calculation obtains respectively abnormal conditions, if the deviation of abnormal conditions complies with standard, Then carry out abnormal confirmation.

2. monitoring method as described in claim 1, it is characterised in that: pass through analysis data acquisition tables in the step (2.2) The abnormal conditions that data acquisition occurs are analyzed, specifically:

2.2.1 the detecting parameter data acquired within a predetermined sampling period) are constituted into data matrix collection, i.e. D=[D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Respectively represent voltage, electric current, electricity, line loss data set, P₁Represent the set of interference signal data；

2.2.2 denoising) is carried out to detecting parameter data, rejects the abnormal data more than the first noise threshold；

2.2.3) respectively to D₁, D₂, D₃, D₄In data carry out average value calculating, obtain corresponding average value d₁, d₂, d₃, d₄, Then by D₁, D₂, D₃, D₄In corresponding data D₁(i), D₂(i), D₃(i), D₄(i) respectively with d₁, d₂, d₃, d₄Subtract each other, obtains pair The deviation Δ d answered₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i)；

2.2.4) according to deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i) multiple deviation ranges are respectively set in size, Deviation is fallen into corresponding D in corresponding deviation range₁, D₂, D₃, D₄In data be divided into one group, i.e. D_j=[a₁..., a_m], Middle j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；

2.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is corresponding group The variance of interior data；

2.2.6) to the calculated value configuration association factor-beta after normalized, the P of corresponding group is calculated by P=∑ β a Value, by judging that it is abnormal that the deviation of P value and reference value judges whether to occur.

3. monitoring method as claimed in claim 2, it is characterised in that: the association factor β is selected according to abnormal conditions Configuration is adjusted according to the actual situation.

4. monitoring method as described in any one of claims 1-3, it is characterised in that: pass through analysis number in the step (4.2) The abnormal conditions occurred are acquired according to acquisition table analysis data, specifically:

4.2.1) reconstitute the data matrix collection of the detecting parameter data acquired in same predetermined period, i.e. D=[D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Respectively represent voltage, electric current, electricity, line loss data set, P herein₁Represent the dry of corresponding addition Disturb signal data set；

4.2.2 denoising) is carried out to the detecting parameter data acquired when interference signal data are added, is rejected more than the second noise The abnormal data of threshold value；

4.2.3) respectively to D₁, D₂, D₃, D₄In data carry out average value calculating, obtain corresponding average value d₁, d₂, d₃, d₄, Then by D₁, D₂, D₃, D₄In corresponding data D₁(i), D₂(i), D₃(i), D₄(i) respectively with d₁, d₂, d₃, d₄Subtract each other, obtains pair The deviation Δ d answered₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i)；

4.2.4) according to deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i) multiple deviation ranges are respectively set in size, Deviation is fallen into corresponding D in corresponding deviation range₁, D₂, D₃, D₄In data be divided into one group, i.e. D_j=[a₁..., a_m], Middle j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；

4.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is corresponding group The variance of interior data；

4.2.6) to the calculated value configuration association factor-beta after normalized, the P of corresponding group is calculated by P=∑ β a Value.

5. monitoring method as claimed in claim 4, it is characterised in that: comparison step 2 in the step (5)) and 3) in respectively The abnormal conditions that analytical calculation obtains carry out abnormal confirmation if the deviation of abnormal conditions complies with standard, specifically: it is logical The calculated result for comparing and interference signal and the P value that interference signal is not added being added is crossed, if deviation complies with standard twice, into The abnormal confirmation of row.

6. a kind of underground water that the detection of the underground water as described in claim any one of 1-5 monitoring method is realized detects monitoring system.

Technical field

The present invention relates to underground water to detect monitoring field, and in particular to a kind of underground water detection monitoring system and detection monitoring Method.

Background technique

Underground water is the important component of water resource, and since water is stablized, water quality is good, is agricultural irrigation, industrial and mineral and city One of the important water source in city.Mainly there are remote sensing technology method, salinity method, radioactive element method, work to underground hydrological detection method now Journey physical logging etc..It needs that many hardware facilities are installed when detection, not only cost but also time-consuming.

Underground water detection device refers to and detects streamflow regime in soil by corresponding mechanical equipment, to carry out water source Whether there is or not detection process, be widely used in underground water detection process and simple and convenient；Existing underground water detection device is main It is detected including the use of devices such as magnetic, ultrasonic waves, also includes the detection mode of direct contact.

Then, now with the development of science and technology, the method for underground water detection starts to become more diversification and intelligence Energyization, such as it is integrated with multi-functional underground water detection system, its own is integrated with the various ways such as communication, detection, processing, and Form certain arrangement scale, also the multi-functional detection system realized of the mode of a variety of new sciences and technologies such as combining Internet of Things.

Summary of the invention

It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of underground water detection monitoring system and detection prisons Prosecutor method, monitoring comprehensively, and timely reaction monitoring situation, guarantee can monitor the stabilization of environment.

The present invention provides a kind of underground water to detect monitoring method, and sequence includes the following steps:

1) in the predetermined period for being added without interference signal data, detecting parameter data and monitoring data are acquired respectively；

2) the detecting parameter data acquired when being added without interference signal data are handled, comprising:

(2.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；

(2.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:

3) in the same predetermined period that interference signal data are added, detecting parameter data and monitoring data are acquired respectively；

4) the detecting parameter data acquired when interference signal data are added are handled, comprising:

(4.1) data acquisition tables will be formed after the detecting parameter data summarization of acquisition；

(4.2) abnormal conditions that the acquisition of table analysis data occurs are acquired by analysis data:

5) comparison step 2) and 3) in analytical calculation obtains respectively abnormal conditions, if the deviation of abnormal conditions meets mark Standard then carries out abnormal confirmation.

In preferred mode, the exception that the acquisition of table analysis data occurs is acquired by analysis data in the step (2.2) Situation, specifically:

2.2.1 the detecting parameter data acquired within a predetermined sampling period) are constituted into data matrix collection, i.e. D=[D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Respectively represent voltage, electric current, electricity, line loss data set, P₁Represent the collection of interference signal data It closes；

2.2.2 denoising) is carried out to detecting parameter data, rejects the abnormal data more than the first noise threshold；

2.2.3) respectively to D₁, D₂, D₃, D₄In data carry out average value calculating, obtain corresponding average value d₁, d₂, d₃, d₄, then by D₁, D₂, D₃, D₄In corresponding data D₁(i), D₂(i), D₃(i), D₄(i) respectively with d₁, d₂, d₃, d₄Subtract each other, obtains To corresponding deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i)；

2.2.4) according to deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i) multiple deviations are respectively set in size Deviation is fallen into corresponding D in corresponding deviation range by range₁, D₂, D₃, D₄In data be divided into one group, i.e. D_j=[a₁..., a_m], wherein j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；

2.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is pair Should data in group variance；

2.2.6) to the calculated value configuration association factor-beta after normalized, corresponding group is calculated by P=∑ β a P value, by judging that it is abnormal that the deviation of P value and reference value judges whether to occur.

In preferred mode, the association factor β carries out option and installment according to abnormal conditions and is adjusted according to the actual situation It is whole.

In preferred mode, the exception that the acquisition of table analysis data occurs is acquired by analysis data in the step (4.2) Situation, specifically:

4.2.1) reconstitute the data matrix collection of the detecting parameter data acquired in same predetermined period, i.e. D= [D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Respectively represent voltage, electric current, electricity, line loss data set, P herein₁Represent corresponding add The interference signal data acquisition system entered；

4.2.2 denoising) is carried out to the detecting parameter data acquired when interference signal data are added, is rejected more than second The abnormal data of noise threshold；

4.2.3) respectively to D₁, D₂, D₃, D₄In data carry out average value calculating, obtain corresponding average value d₁, d₂, d₃, d₄, then by D₁, D₂, D₃, D₄In corresponding data D₁(i), D₂(i), D₃(i), D₄(i) respectively with d₁, d₂, d₃, d₄Subtract each other, obtains To corresponding deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i):

4.2.4) according to deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i) multiple deviations are respectively set in size Deviation is fallen into corresponding D in corresponding deviation range by range₁, D₂, D₃, D₄In data be divided into one group, i.e. D_j=[a₁..., a_m], wherein j=1,2,3,4, m be corresponding packet count, and i is corresponding data number；

4.2.5) after being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is pair Should data in group variance；

4.2.6) to the calculated value configuration association factor-beta after normalized, P value is calculated by P=∑ β a.

In preferred mode, comparison step 2 in the step (5)) and 3) in analytical calculation obtains respectively abnormal conditions, If the deviation of abnormal conditions complies with standard, abnormal confirmation is carried out, specifically: by comparing addition interference signal and do not have The calculated result that the P value of interference signal is added carries out abnormal confirmation if deviation complies with standard twice.

The present invention also provides a kind of underground water realized using the above method to detect monitoring system.

Underground water detection monitoring system and detection monitoring method of the invention, may be implemented:

1) when by being added without and interference signal being added, the comparison of abnormal conditions is complied with standard according to what deviation judged, The further progress determination of abnormal conditions, accuracy are high and in time, avoid the occurrence of mistake；

2) present invention is set as multiple output ports by communication transfer device, while being configured with corresponding transmission strategy, It configures and updates transmission strategy in real time according to acquisition data cases, transmission port is utilized to the greatest extent, so that the biography of data Defeated efficiency significantly improves.

Detailed description of the invention

Fig. 1 is that underground water detects monitoring method flow chart；

Fig. 2 is that underground water detects monitoring system schematic diagram.

Specific embodiment

The following detailed description of specific implementation of the invention, it is necessary to it is indicated herein to be, implement to be only intended to this hair below Bright further explanation, should not be understood as limiting the scope of the invention, and field person skilled in the art is according to above-mentioned Some nonessential modifications and adaptations that summary of the invention makes the present invention, still fall within protection scope of the present invention.

The present invention provides a kind of underground water detection monitoring system and detection monitoring methods, can enable in real time It is lauched the working condition of detection system and the influence variation of ambient enviroment, can note abnormalities at the first time, not influence ground It is lauched the normal operation of detection system.

It is that Fig. 1 detects for underground water detection system data monitoring method flow chart and underground water respectively as shown in attached drawing 1-2 Monitoring system schematic diagram.As shown, including the acquisition of detecting parameter data in the monitor portion for underground water detection system Device and monitoring data collection device.

Wherein detecting parameter data acquisition device is used to be acquired detecting parameter data, such as voltage, electric current, electricity The main purpose of amount, line loss etc., setting is monitored to the working condition of underground water detection system, so as to real-time The working condition for grasping underground water detection system, timely finds the problem.Monitoring data collection device is used to detect underground water The environmental data of system is acquired, and is much happened because having in the environment of underground water detection system, such as abnormal Temperature, humidity variation etc., will cause the security risk of underground water detection system equipment, also for example because of underground water detection system Environment is extremely complex and abnormal, occurs abnormal personnel in the environment and is likely to result in casualties and equipment damage, needs in this way Will the environment to underground water detection system monitored in real time, to effectively grasp ambient conditions, timely find the problem Quickly solve.Specifically, monitoring data collection device may include temperature sensing device, and humidity sensing device, photographic device, Grain sensing device, in preferred mode, particle sensing device may include smoke sensor device.Wherein, detecting parameter refers to underground water The detecting parameter of test when detection system works, specifically refers to the voltage measured at itself test point when its work, electricity The parameters such as stream, electricity, line loss.

For detecting parameter data are acquired, become data acquisition tables after the data summarization of acquisition, by dividing Analysis tables of data is come the case where analyzing data acquisition.During concrete implementation, detecting parameter data acquisition device is mainly used for Collection voltages, electric current, electricity, line loss, on this basis, present invention adds the applications and acquisition for interference signal, with reality Now further verification process.Specifically, the detecting parameter data acquired within certain sampling period are constituted data first Matrix stack, i.e. D=[D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Respectively represent voltage, electric current, electricity, line loss data, P1 representative pair The interference signal data that should be added, it should be noted that the sampling instant in normal data (is added without interference signal data Moment), corresponding P₁It can be 0, be ignored.Secondly, for identical detection environment, collected detecting parameter data meeting It fluctuates in a certain range, therefore in the case where no addition interference signal, after being acquired with detecting parameter data Denoising is carried out, the abnormal data more than the first noise threshold is rejected.Later, respectively to D₁, D₂, D₃, D₄In data carry out The calculating of average value obtains corresponding average value d₁, d₂, d₃, d₄, then by D₁, D₂, D₃, D₄In data D₁(i), D₂(i), D₃ (i), D₄(i) respectively with d₁, d₂, d₃, d₄Subtract each other, obtains corresponding deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i)； According to by deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i) multiple deviation ranges are respectively set in size, by deviation Value falls into the correspondence D in deviation range₁, D₂, D₃, D₄In data be divided into one group, then D₁, D₂, D₃, D₄Each of it is corresponding Data fall into deviation range all in accordance with its deviation and are divided into corresponding group, i.e. D_j=[a₁..., a_m], wherein j=1,2,3,4, m For corresponding packet count, i is corresponding data number, j=1,2,3,4.

After being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is pair Should the variances of data in group can directly be calculated in this way without dimension is considered the problems of.

After being normalized, then P=can be passed through to the calculated value configuration association factor-beta after normalized The P value of corresponding group is calculated in ∑ β a, by judging that it is abnormal that the deviation of P value and reference value judges whether to occur.It should be noted that , association factor β can carry out option and installment according to abnormal conditions, and be adjusted according to the actual situation.

On this basis, present invention adds the applications and acquisition for interference signal, to realize further verifying Process.After processing in the case where having carried out that interference signal is not added, preset interference signal is added, i.e., corresponding P₁No It is 0.So reconstitute the detecting parameter data acquired within certain sampling period and constitutes data matrix collection, i.e. D=[D₁, D₂, D₃, D₄, P₁], wherein D₁-D₄Voltage, electric current, electricity, line loss data are respectively represented, P1 represents the corresponding interference signal being added Data.Secondly, collected detecting parameter data can fluctuate in a certain range for identical detection event, it is dry being added In the case where disturbing signal, detecting parameter Data Data can generate similar data variation, and because interference signal is to realize setting , the rule of data variation is expected.Then, denoising is carried out after being acquired to detecting parameter data, is picked Except the abnormal data more than the second noise threshold.Later, respectively to D₁, D₂, D₃, D₄In data carry out average value calculating, obtain To corresponding average value d₁, d₂, d₃, d₄, then by D₁, D₂, D₃, D₄In data D₁(i), D₂(i), D₃(i), D₄(i) respectively with d₁, d₂, d₃, D₄Subtract each other, obtains corresponding deviation Δ d₁(i), Δ d₂(i), Δ d₃(i), Δ d₄(i)；According to by deviation Δ d₁ (i), Δ d₂(i), Δ d₃(i), Δ d₄(i) size is respectively set multiple deviation ranges, deviation is fallen into deviation range Correspondence D₁, D₂, D₃, D₄In data be divided into one group, then D₁, D₂, D₃, D₄Each of corresponding data all in accordance with its deviation Value falls into deviation range and is divided into corresponding group, i.e. D_j=[a₁..., a_m], wherein j=1,2,3,4, m be corresponding packet count, i For corresponding data number, j=1,2,3,4.

After being grouped, each group of data is normalized, is specifically calculated as follows:

Wherein, corresponding a_mIt (n) is the data in corresponding group,For the average value of the data in corresponding group, σ (a_m) it is pair Should the variances of data in group can directly be calculated in this way without dimension is considered the problems of.

After being normalized, then P=can be passed through to the calculated value configuration association factor-beta after normalized P value is calculated in ∑ β a.At this point, interference signal is added and is different without the P value calculated result of addition interference signal, but It is because interference signal is expected addition, corresponding difference value is the calculating that can be standardized, therefore, will twice Interference signal is added and the P value that interference signal is not added is compared, if deviation complies with standard twice, carries out abnormal true Recognize.

For the acquisition of monitoring data, monitoring data collection device may include temperature sensing device, humidity sensor Device, photographic device, particle sensing device, in preferred mode, particle sensing device may include smoke sensor device.For prison Control the acquisition of data, it usually needs acquired in real time.Moreover, therefore acquisition is a continuous process in real time, largely Data needs be acquired, when data volume load is excessive, it may appear that transmission blocking, i.e. efficiency of transmission decline or lose The case where mistake, occurs.The present invention is by by temperature sensing device, humidity sensing device, photographic device, and particle sensing device is corresponding Acquisition data be grouped, i.e., by temperature sensing device, humidity sensing device, photographic device, particle sensing device is corresponding Acquisition data are handled in a data processor, are grouped corresponding acquisition data according to type and size after processing, Identical group of data are carried out to be packed into data packet, this ensure that each data packet has roughly the same data volume, together When processing module calculate current time communication transfer device available bandwidth, load and time delay numerical value, according to available bandwidth, load Transmission strategy is configured with time delay numerical value, transmission strategy is configured in the inner core of itself and is stored.Then, previous moment is inquired Caching transmit strategy, compare current time transmission strategy and previous moment caching transmission strategy, if transmission rule Match, then still transmit corresponding acquisition data packet according to corresponding output port according to the transmission strategy of previous moment, If transmission rule mismatches, reconfigures new output port and transmitted.Specifically, matching is to count in the following manner Calculate matching degree:

Wherein, c is corresponding data count in data packet, F₁For the number that identical data occurs, L is identical data appearance Maximum value then illustrate successful match when matching degree F (x) meets matching condition.The present invention is arranged by communication transfer device For multiple output ports, while it being configured with corresponding transmission strategy, configures and update transmission in real time according to acquisition data cases Strategy utilizes transmission port, so that the efficiency of transmission of data significantly improves to the greatest extent.

After data pass through packet transaction, transmitted according to transmission strategy to main controller, so that data are with parallel and efficient side Formula is quickly transferred to middle control machine and is monitored.

Although for illustrative purposes, it has been described that exemplary embodiments of the present invention, those skilled in the art Member it will be understood that, can be in form and details in the case where the scope and spirit for not departing from invention disclosed in appended claims On the change that carry out various modifications, add and replace etc., and all these changes all should belong to appended claims of the present invention Protection scope, and each step in the claimed each department of product and method, can in any combination Form is combined.Therefore, to disclosed in this invention the description of embodiment be not intended to limit the scope of the invention, But for describing the present invention.Correspondingly, the scope of the present invention is not limited by embodiment of above, but by claim or Its equivalent is defined.