CN101615313A - A kind of operation states of intelligent tanks for dangerous chemical transportation monitoring method - Google Patents
A kind of operation states of intelligent tanks for dangerous chemical transportation monitoring method Download PDFInfo
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Abstract
A kind of operation states of intelligent tanks for dangerous chemical transportation monitoring method belongs to the remote control technology field.A kind of monitoring method that is used for operation states of intelligent tanks for dangerous chemical transportation is disclosed.It is made up of signal pre-processing module and running status judging module.Signal pre-processing module comprises that the filtering of signal and characteristic information extract, and the running status judging module adopts the method for finite state machine that characteristic information is merged, thereby judges the running status of dangerization product.At corresponding signal post-processing mechanism of different state design and alarm mechanism, can realize rapid reaction on this basis to dangerization product peril of transportation situation.
Description
Technical field
The invention belongs to the remote control technology field; a kind of specifically operation states of intelligent tanks for dangerous chemical transportation monitoring method; form by signal pre-processing module and running status judging module, realize the running status of intelligent tanks for dangerous chemical transportation is carried out the real time remote intellectual monitoring.
Background technology
The dangerization conduct is important industry in becoming the Chinese national economy fast development already, is bringing into play more and more important effect in national economy.Because dangerization product industry its own particularity, be the problem of relevant government department, enterprise and R﹠D institution's care to its monitoring and managing method of effectively supervising in the transportation especially, intelligent tanks for dangerous chemical transportation also arises at the historic moment.Electronic installations such as air pressure transmitter, fluid level transmitter, gas transmitter, door switch and GPS positioning system have been installed on this intelligent tanks for dangerous chemical transportation, air pressure, liquid level, gas concentration, door switch, speed and the position signals of these electronic installation collections have been sent to remote monitoring center by gprs system.Remote monitoring center generally adopts the threshold value relative method to judge the precarious position of intelligent tanks for dangerous chemical transportation; it realizes that principle is: rule of thumb data are determined the compare threshold of each physical quantity respectively, and certain electronic installation on intelligent tanks for dangerous chemical transportation is actual to be recorded the setting threshold that data surpass the respective physical amount and then send corresponding danger warning.But; the residing running status complexity of intelligent tanks for dangerous chemical transportation; comprise zero load, fill, be fully loaded with, the discharging state; and under static and the motion conditions also there be than big-difference the signal of some electronic installation; in actual the use, danger warning mechanism and hazard level under different running statuses are all different.For example, the liquid level signal that fluid level transmitter provides in the normal discharge process must surpass alarm threshold value, but should not report to the police this moment; It then may be that leakage accident has taken place that the liquid level signal that fluid level transmitter provides in the transportation surpasses alarm threshold value, must report to the police immediately.In fact, intelligent tanks for dangerous chemical transportation has strict operational management mechanism, so its state conversion has definite operation logic.Operation logic based on intelligent tanks for dangerous chemical transportation self; multiple signals such as the air pressure of associating intelligent tanks for dangerous chemical transportation, liquid level, gas concentration, door switch, speed and position; distinguish the running status of intelligent tanks for dangerous chemical transportation by the method for multi-sensor information fusion; design corresponding alarm mechanism at different running statuses on this basis, could effectively realize real time remote intellectual monitoring the intelligent tanks for dangerous chemical transportation state.
Finite state machine (FSM) is a special digraph, and it comprises the directed arc of some nodes and connected node.All have the condition that enters next node from a node on each bar arc.In view of the dirigibility of finite state machine, therefore can in the monitoring of operation states of intelligent tanks for dangerous chemical transportation, use.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, the characteristics of definite operation logic are arranged, propose a kind of method for monitoring operation states of intelligent tanks according to intelligent tanks for dangerous chemical transportation (being designated hereinafter simply as intelligent tanks).This method is applied in the intelligent tanks remote monitoring center; running status that can real-time intelligent monitoring intelligent jar case; at corresponding signal post-processing mechanism of different state design and alarm mechanism, can realize rapid reaction on this basis to dangerization product peril of transportation situation.
A kind of method for monitoring operation states of intelligent tanks that the present invention proposes comprises signal pre-processing module and running status judging module.Concrete steps are as follows:
Step 1: set up finite state machine according to the operation logic of intelligent tanks in advance, determine node in the finite state machine and the transformational relation between the node.
Step 2: when remote monitoring center receives the characteristic signal of intelligent tanks, during as signals such as air pressure, liquid level, door switch, speed, enter following steps:
(1) signal is at first sent into signal pre-processing module, signal pre-processing module is according to the signal properties difference, various signals are carried out filtering and characteristic information extraction, constitute the proper vector of each signal amplitude of reflection and variation tendency, as the input of running status judging module.
(2) a kind of running status of the corresponding intelligent tanks of each node of running status judging module, the proper vector that is obtained by signal pre-processing module triggers the node conversion of finite state machine, thereby determines the current running status of present located node judgement intelligent tanks:
A, determine the initial state sign: receive the state that the overtime or remote monitoring center of the Data Receiving of existing intelligent tanks in initiate intelligent tanks signal or the remote monitoring center will have intelligent tanks first when remote monitoring center and reset, more than the arbitrary situation of three kinds of situations when taking place, belong to and do not determine the intelligent tanks initial state and enter step B, determine the intelligent tanks initial state and enter step C otherwise belong to.
B, definite intelligent tanks initial state, judge the intelligent tanks initial state: according to the present node of proper vector judgement finite state machine, the residing original state of the corresponding intelligent tanks of this node.Set up the intelligent tanks original state simultaneously and determined sign.
C, definite intelligent tanks initial state, judge the current state of intelligent tanks: according to the proper vector of the node and the current time of previous moment finite state machine, according to the finite state machine node transformational relation of determining in the step 1, obtain the node of current time finite state machine, the running status of the corresponding intelligent tanks current time of this node.
Description of drawings
The invention will be further described below in conjunction with the drawings and specific embodiments.
Fig. 1 is a method for monitoring operation states of intelligent tanks of the present invention, the intelligent tanks state transition graph;
Fig. 2 is definite intelligent tanks initial state process flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing and by example a kind of method for monitoring operation states of intelligent tanks that the present invention proposes is elaborated.In this example, with the LNG intelligent tanks is example, this intelligent tanks has been installed air pressure transmitter, fluid level transmitter, gas transmitter, door switch and five kinds of electronic installations of GPS positioning system, by gprs system air pressure, liquid level, gas concentration, door switch and the rate signal of these electronic installation collections is sent to remote monitoring center.
According to the operation logic of LNG intelligent tanks, the node of the finite state machine of foundation is as follows as shown in Figure 1:
The S1 no load movement;
The S2 zero load is static;
The S3 zero load is checked;
The S4 sacking;
The fully loaded motion of S5;
S6 is fully loaded static;
S7 is fully loaded to be checked;
S8 unloads the liquid process.
Shown in figure one, the node transformational relation of the finite state machine of setting up according to the operation logic of LNG intelligent tanks is as follows:
Present node is the S1 no load movement, when no speed, when door pass condition takes place, is transformed into the unloaded stationary node of S2.
Present node is the S1 no load movement, when no speed, door are opened the condition generation, is transformed into the S3 zero load and checks node.
Present node is that the S2 zero load is static, as speed, when door pass condition takes place, is transformed into S1 no load movement node.
Present node is that the S2 zero load is static, when door is opened the condition generation, is transformed into the S3 zero load and checks node.
Present node is that node is checked in the S3 zero load, when door pass condition takes place, is transformed into the unloaded stationary node of S2.
Present node is that node is checked in the S3 zero load, when the pressure downtrending, when liquid level ascendant trend condition takes place, is transformed into S4 sacking node.
Present node is a S4 sacking node, as speed, when door pass condition takes place, is transformed into the fully loaded movement node of S5.
Present node is a S4 sacking node, when no speed, when door pass condition takes place, is transformed into the fully loaded stationary node of S6.
Present node is the fully loaded movement node of S5, when no speed, when door pass condition takes place, is transformed into the fully loaded stationary node of S6.
Present node is the fully loaded movement node of S5, when no speed, door are opened the condition generation, is transformed into the fully loaded node of checking of S7.
Present node is the fully loaded stationary node of S6, when door is opened the condition generation, is transformed into the fully loaded node of checking of S7.
Present node is the fully loaded stationary node of S6, as speed, when door pass condition takes place, is transformed into the fully loaded movement node of S5.
To be that S7 is fully loaded check node to present node, when door pass condition takes place, is transformed into S6 and is fully loaded with stationary node.
Present node is the fully loaded node of checking of S7, when the pressure ascendant trend, when liquid level downtrending condition takes place, is transformed into S8 and unloads the liquid process node.
Present node is that S8 unloads the liquid process node, as speed, when door pass condition takes place, is transformed into S1 no load movement node.
Present node is that S8 unloads the liquid process node, when no speed, when door pass condition takes place, is transformed into the unloaded stationary node of S2.
Receive the signal such as air pressure, liquid level, door switch, speed of intelligent tanks when remote monitoring center, signal pre-processing module is handled signal, according to the signal properties difference, various signals are carried out filtering and characteristic information extraction, constitute the proper vector of each signal amplitude of reflection and variation tendency.With the door of door switch signal open, door closes a signal and carries out binary conversion treatment (for example 0,1 two value).Rate signal is subject to the influence of environment and means of testing, adopts the method for weighted mean smoothing processing.Liquid level signal is affected by environment bigger, adopts kalman filter method to carry out smoothing processing.Air pressure signal is carried out difference by the time, obtain air pressure change trend.Liquid level signal is carried out difference by the time, obtain liquid level change trend.With treated air pressure signal, liquid level signal, door switch signal, rate signal, air pressure change trend and liquid level change trend constitutive characteristic vector, as the input of running status judging module.
The running status judging module is judged the running status of intelligent tanks according to proper vector.
(I) determine the initial state sign: receive in initiate intelligent tanks signal or the remote monitoring center state that the overtime or remote monitoring center of the Data Receiving of existing intelligent tanks will have intelligent tanks first when remote monitoring center and reset, more than the arbitrary situation of three kinds of situations when taking place, belong to and do not determine the intelligent tanks initial state and enter step (II), determine the intelligent tanks initial state and enter step (III) otherwise belong to.
(II) do not determine the intelligent tanks initial state, judge the intelligent tanks initial state: the present node of judging finite state machine according to proper vector, as shown in Figure 2, wherein S1, S2, S3, S4, S5, S6, S7, S8 corresponding to finite state machine node S1, S2, S3, S4, S5, S6, S7, S8 among Fig. 1.Judge that the intelligent tanks initial state comprises the steps:
T1, according to the speed in the proper vector, if do not have speed then execution in step T2, otherwise execution in step T7.
T2, according to the door switch in the proper vector, if door is opened execution in step T3 then, otherwise execution in step T4.
T3, according to the liquid level change trend in the proper vector, if rise then execution in step T5 of liquid trend, otherwise execution in step T6.
T4, according to the liquid level signal in the proper vector, if unloaded liquid level then the intelligent tanks initial state be unloaded static (S2), otherwise the intelligent tanks initial state is fully loaded static (S6).
T5, according to the liquid level change trend in the proper vector, if rise liquid trend then the intelligent tanks initial state be sacking (S4), otherwise the intelligent tanks initial state is for unloading liquid process (S8).
T6, according to the liquid level signal in the proper vector, if unloaded liquid level then the intelligent tanks initial state be that (S3) checked in zero load, otherwise the intelligent tanks initial state is fully loaded check (S7).
T7, according to the liquid level signal in the proper vector, if unloaded liquid level then the intelligent tanks initial state be no load movement (S1), otherwise the intelligent tanks initial state is fully loaded motion (S5).
Finish above step, set up intelligent tanks " initial state is determined " sign.
(III) determined the intelligent tanks initial state, judge the current state of intelligent tanks: according to the proper vector of the node and the current time of previous moment finite state machine, according to aforesaid finite state machine node transformational relation, obtain the node of current time finite state machine, the running status of the corresponding intelligent tanks current time of this node.
Claims (1)
1. an operation states of intelligent tanks for dangerous chemical transportation monitoring method is characterized in that this method for monitoring operation states of intelligent tanks, comprises signal pre-processing module and running status judging module; Concrete steps are as follows:
Step 1: set up finite state machine according to the operation logic of intelligent tanks in advance, determine node in the finite state machine and the transformational relation between the node;
Step 2: when remote monitoring center receives the characteristic signal of intelligent tanks, enter following steps:
(1) signal is at first sent into signal pre-processing module, signal pre-processing module is according to the signal properties difference, various signals are carried out filtering and characteristic information extraction, constitute the proper vector of each signal amplitude of reflection and variation tendency, as the input of running status judging module;
(2) a kind of running status of the corresponding intelligent tanks of each node of running status judging module, the proper vector that is obtained by signal pre-processing module triggers the node conversion of finite state machine, thereby determines the current running status of present located node judgement intelligent tanks:
A, determine the initial state sign: receive the state that the overtime or remote monitoring center of the Data Receiving of existing intelligent tanks in initiate intelligent tanks signal or the remote monitoring center will have intelligent tanks first when remote monitoring center and reset, more than the arbitrary situation of three kinds of situations when taking place, belong to and do not determine the intelligent tanks initial state and enter step B, determine the intelligent tanks initial state and enter step C otherwise belong to;
B, definite intelligent tanks initial state, judge the intelligent tanks initial state: according to the present node of proper vector judgement finite state machine, the residing original state of the corresponding intelligent tanks of this node; Set up the intelligent tanks original state simultaneously and determined sign;
C, definite intelligent tanks initial state, judge the current state of intelligent tanks: according to the proper vector of the node and the current time of previous moment finite state machine, according to the finite state machine node transformational relation of determining in the step 1, obtain the node of current time finite state machine, the running status of the corresponding intelligent tanks current time of this node.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034134A (en) * | 2011-09-29 | 2013-04-10 | 西门子公司 | Method for setting an operating status |
| CN103049838A (en) * | 2012-12-26 | 2013-04-17 | 华中科技大学 | Finite state machine-based parcel transporting state monitoring method |
| CN103631161A (en) * | 2013-09-17 | 2014-03-12 | 北京理工大学 | Filtering method based on state machine |
| CN111798172A (en) * | 2020-05-26 | 2020-10-20 | 嘉兴亚航信息技术有限公司 | Dangerous chemical transportation method based on idea of horse racing |
| CN112319861A (en) * | 2020-10-26 | 2021-02-05 | 中国运载火箭技术研究院 | Storage box layout method for horizontal take-off and landing spacecraft mass center control |
-
2009
- 2009-07-22 CN CN2009103046576A patent/CN101615313B/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034134A (en) * | 2011-09-29 | 2013-04-10 | 西门子公司 | Method for setting an operating status |
| US9323242B2 (en) | 2011-09-29 | 2016-04-26 | Siemens Aktiengesellschaft | Method for setting an operating status |
| CN103049838A (en) * | 2012-12-26 | 2013-04-17 | 华中科技大学 | Finite state machine-based parcel transporting state monitoring method |
| CN103631161A (en) * | 2013-09-17 | 2014-03-12 | 北京理工大学 | Filtering method based on state machine |
| CN111798172A (en) * | 2020-05-26 | 2020-10-20 | 嘉兴亚航信息技术有限公司 | Dangerous chemical transportation method based on idea of horse racing |
| CN111798172B (en) * | 2020-05-26 | 2023-07-18 | 嘉兴亚航信息技术有限公司 | Dangerous chemical transportation method based on field-contraindicated horse racing concept |
| CN112319861A (en) * | 2020-10-26 | 2021-02-05 | 中国运载火箭技术研究院 | Storage box layout method for horizontal take-off and landing spacecraft mass center control |
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