CN110286698B - Diagnosis control method, system, storage medium and terminal based on water level data association of water collecting well - Google Patents
Diagnosis control method, system, storage medium and terminal based on water level data association of water collecting well Download PDFInfo
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/048—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D9/00—Level control, e.g. controlling quantity of material stored in vessel
- G05D9/12—Level control, e.g. controlling quantity of material stored in vessel characterised by the use of electric means
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a diagnosis control method, a system, a storage medium and a terminal based on water level data association of a water collecting well, wherein the method comprises a water level data association establishment step of the water collecting well and a water level data association processing step of the water collecting well, and the data comprises control data and non-control data; the control data is water level of the water collecting well, the non-control data comprises one or more of water level rising/falling speed, water quantity of the water collecting well, flow rate of the drainage pump, running/stopping time of the drainage pump, current of the motor and voltage of the motor, and the steps comprise: and establishing an incidence relation between the water level and the non-control data, judging the data acquired in real time, and diagnosing and reporting errors of the water level data when a plurality of non-control data do not fall into a limit interval of the corresponding values of the water level data. The invention controls the data only after the data is subjected to correlation diagnosis, and can effectively avoid control failure caused by faults or defects of a sensor and a control system.
Description
Technical Field
The invention relates to the field of automatic control, in particular to a diagnosis control method, a diagnosis control system, a storage medium and a terminal based on water level data association of a water collecting well.
Background
The control object is also called controlled object. In an automatic control system, it generally refers to the controlled equipment or process as the object, such as the control of a reactor or a rectification equipment, or the control of a heat transfer process or a combustion process. From the perspective of quantitative analysis and design, the control object is only a part of factors influencing input and output parameters of the object in the controlled equipment or process, and is not the whole equipment. In an automatic control system, actuators (regulator valves) and measurement transmitting devices other than controllers (regulators) are included as objects of control in a broad sense. As a control target in a narrow sense, there are a controlled parameter, a control parameter, and a disturbance parameter (collectively referred to as a process parameter or process data) as end parameters (input and output), which are linked to each other by the internal state of the sump.
In the prior art, for a control mode, a preset value + fixed flow control is adopted for the control mode of a control object, a complex control system is simplified into a simplified control model based on simple input-based execution output, at the moment, the control model and a controlled object do not have any relation, once an input signal is in error, the control is in error, the usability of the input signal cannot be identified, and only basic automatic control is realized. The same control model is adopted for controlling the same kind of control objects. In one example, the controller only performs corresponding data discrimination on the analog quantity signal (i.e., the process parameter or the process data) received by the controller and sent by the external sensor or other detection unit, and controls the start and stop of the corresponding working device according to the result of the discrimination. But the actual situation is: even if the control objects of the same type are different from one another, the different control objects have different characteristics, and the existing control mode cannot automatically identify the characteristics of each specific control object, and certainly cannot realize differential control according to the characteristics of the specific objects. In the control process, only paying attention to whether the controlled parameter reaches the preset value, but not monitoring the change process of the controlled parameter, and because the change process of the controlled parameter is not paid attention to, the comprehensive self-diagnosis and the predictive control cannot be realized.
In the case of the detection element, since the conventional control method is based on the premise that the detection element works normally, in practice, errors may occur in reliable detection elements. The detection element is only subjected to simple diagnosis and treatment within the detection range, the requirement on the reliability of the detection element is high, and the detection element with high import price is adopted in a large quantity. Even if the fault-tolerant control system is adopted, comprehensive self-diagnosis and processing are not carried out on the fault-tolerant control system, and when the detection elements are abnormally changed or fail, the control system can be mistakenly operated or cannot work, and the fault-tolerant control function is not realized. That is, the prior art performs specific control of a control object only when the process data is in a dangerous condition (or reaches a certain percentage of the threshold). Thus, when a problem occurs in the equipment that generates the process data, the sump well is controlled directly based on the process data, and the entire system is shut down. That is, the prior art cannot perform fault-tolerant control on the water collecting well according to the actual change condition of the process data when a certain device generating the process data is abnormal.
It is also becoming increasingly recognized in engineering practice that the most reliable control systems may not necessarily be assembled by the most reliable sensing elements and actuators, but rather, it is possible to construct a highly reliable control system from less reliable elements, as long as the design, assembly and use are appropriate.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a diagnosis control method, a diagnosis control system, a diagnosis control storage medium and a diagnosis control terminal based on water level data association of a water collecting well, and solves the problem that the prior art cannot perform shutdown control on the water collecting well when a certain device generating process data is abnormal according to the actual change condition of the process data.
The purpose of the invention is realized by the following technical scheme:
in a first aspect of the invention, a diagnosis control method based on water level data association of a water collecting well is provided, which comprises a water level data association establishing step and a water level data association processing step, wherein the water level data association establishing step comprises the following substeps:
establishing an incidence relation of data, wherein the data comprises control data and at least one piece of non-control data; the control data is a water level, and the non-control data is other data associated with the water level, including one or more of a water level rising/falling speed, a water collection well water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage;
setting a limit interval of non-control data when the water level is at a designated value;
the data association processing step comprises the following substeps:
the method for judging the data collected in real time comprises the following steps:
and when the value of certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, the water level and the associated non-control data are considered not to accord with the correlation rule, and the water level data is diagnosed and reported in error.
Further, when the value of a certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, the water level data is judged to be in error and is not taken as the control basis of the water level of the corresponding water collecting well, and the non-control data is taken as the control basis to carry out fault-tolerant control on the water level of the water collecting well, namely the non-control data is taken as the basis to carry out indirect control on the water level of the water collecting well.
Further, in the data association processing step, the method further comprises the following steps of judging the data collected in real time:
when the value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, the water level data and the non-control data related to the water level data are considered to accord with the related relevance rule, and the water level data is judged to be effective and is used as the control basis of the water level of the corresponding water collecting well;
meanwhile, the non-control data which does not fall into the limit interval and the water level data associated with the non-control data are judged not to accord with the correlation rule, the non-control data are further considered as invalid data, the error is reported for the non-control data, and the non-control data are not used as the diagnosis basis of the water level of the water collecting well.
Further, when the value of a certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, and one and/or a plurality of non-control data values do not fall into the limit interval of the value corresponding to the water level data, the non-control data and the associated water level data are diagnosed not to accord with the relevant association rule, and the prediction control is carried out on the water level of the water collecting well in an advance and/or lag mode according to the error reporting condition of the non-control data.
Further, the limit interval of the non-control data when the set water level is at the designated value includes:
the method comprises the steps that a limit working condition of a water collecting well under normal operation is set manually, and a limit interval of the incidence relation between water level data of the water collecting well and non-control data under the limit working condition is obtained, namely the maximum value and the minimum value of the non-control data when the water level is at a specified value when the water collecting well has the limit working condition in normal operation; or:
automatically setting a limit process interval according to water level data and non-control data detected in the operation of the water collecting well, namely obtaining and automatically setting the maximum value and the minimum value of the non-control data when a water level specified value is taken in the operation of the water collecting well; or:
and simulating the maximum value and the minimum value of the non-control data when the water level of the water collecting well is subjected to specified value selection by a software simulation mode to set the limit interval of the non-control data when the water level is subjected to the specified value selection.
Further, the limit interval is replaced by a positive and negative deviation range, and the positive and negative deviation range is acquired in a mode comprising the following steps:
continuously detecting data including water level data and relevant non-control data of the water collecting well in the actual operation of the water collecting well;
acquiring an average value relation curve of corresponding non-control data when the water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve;
and determining the positive and negative deviation range of data association according to the average value relation curve and the standard normal distribution rule curve.
Further, the non-control data further includes other data causing the change of the water level data and other data causing the change of the other data due to the change of the water level data.
In a second aspect of the present invention, a diagnosis control system based on water level data association of a water collecting well is provided, which comprises a water level data association establishing module and a water level data association processing module, wherein the water level data association establishing module comprises:
a data association unit: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for establishing an incidence relation of data, and the data comprises control data and at least one non-control data; the control data is a water level, and the non-control data is other data associated with the water level, including one or more of a water level rising/falling speed, a water collection well water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage;
a limit section setting unit: the limit interval is used for setting the non-control data of the water level when the water level is at the designated value;
the water level data association processing module is used for judging data collected in real time and comprises the following steps:
a control data judgment unit: and when the value of certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, the water level and the associated non-control data are considered not to accord with the correlation rule, and the water level data is diagnosed and reported in error.
Further, in the process of the judgment by the control data judgment unit, when the value of a certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the value corresponding to the water level, it is judged that the water level data is in error and is not used as the control basis of the water level of the corresponding water collection well, and the non-control data is used as the control basis to carry out fault-tolerant control on the water level of the water collection well, that is, the non-control data is used as the basis to carry out indirect control on the water level of the water collection well.
Further, the water level data association processing module further includes:
a non-control data determination unit: the method is used for judging that the water level data is effective and is used as a control basis of the water level of the corresponding water collecting well when the numerical value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, and the water level data and the associated non-control data are considered to accord with the correlation rule;
meanwhile, the non-control data which does not fall into the limit interval and the water level data associated with the non-control data are judged not to accord with the correlation rule, the non-control data are further considered as invalid data, the error is reported for the non-control data, and the non-control data are not used as the diagnosis basis of the water level of the water collecting well.
Further, in the non-control data judgment unit, when the value of a certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data and one and/or a plurality of non-control data does not fall into the limit interval of the value corresponding to the water level data, the non-control data and the associated water level data are diagnosed not to be in accordance with the relevant association rule, and the water level of the water collecting well is subjected to predictive control in an advance and/or delay mode according to the error report condition of the non-control data.
Further, the setting of the limit interval of the non-control data of the water level at the specified value includes:
the method comprises the steps that the limit working condition of a water collecting well in normal operation is artificially set, and the limit interval of the incidence relation between water level data of the water collecting well and non-control data in the limit working condition is obtained, namely the maximum value and the minimum value of the non-control data when the water level is in a designated value when the water collecting well is in the limit working condition in normal operation; or:
automatically setting a limit process interval according to water level data and non-control data detected in the operation of the water collecting well, namely obtaining and automatically setting the maximum value and the minimum value of the non-control data when a water level specified value is obtained and set in the operation of the water collecting well; or:
and simulating the maximum value and the minimum value of the non-control data when the water level of the water collecting well is subjected to specified value taking under the condition that the water level of the water collecting well is subjected to the limit working condition in the operation process by a software simulation mode, so as to set the limit interval of the non-control data when the water level is subjected to the specified value taking.
Further, the limit interval is replaced by a positive deviation range and a negative deviation range;
the limit interval setting unit is replaced by a positive and negative deviation range setting unit, and the positive and negative deviation range setting unit comprises the following subunits: a data acquisition subunit: the system comprises a water level detection module, a water level control module and a control module, wherein the water level detection module is used for continuously detecting data of a water collecting well in the actual operation of the water collecting well, wherein the data comprises water level data and non-control data related to the water level data; a data calculation subunit: the device is used for acquiring an average value relation curve of corresponding non-control data when water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve; a positive and negative deviation range determination subunit: and the positive and negative deviation range of data association is determined according to the average value relation curve and the standard normal distribution rule curve.
Further, the non-control data further includes other data causing the change of the water level data and other data causing the change of the other data due to the change of the water level data.
In a third aspect of the present invention, a storage medium having stored thereon computer instructions operable to perform the steps of the method for diagnostic control based on correlation of water sump level data is provided.
In a fourth aspect of the present invention, a terminal is provided, which includes a memory and a processor, wherein the memory stores computer instructions executable on the processor, and the processor executes the computer instructions to execute the steps of the diagnostic control method based on water collection well water level data association.
The invention has the beneficial effects that:
(1) The invention carries out diagnosis control according to the characteristic of data association, diagnoses when the data of the water collecting well is abnormal, does not directly carry out corresponding control, carries out corresponding diagnosis control only after the relevant data is subjected to association analysis, can effectively avoid control failure caused by faults or defects of a sensor and a control system, and solves the corresponding technical problems. The application of the invention will bring profound influence to the traditional automatic control technology.
(2) On the basis of original basic automatic control, the invention realizes prediction control and fault-tolerant control independently by monitoring the change process of main control parameters and independently learning the characteristics of a water collection well; because of the comprehensive diagnosis and fault-tolerant control functions, the requirement on the reliability of the detection element is reduced, the imported detection element can be replaced by a domestic detection element, and a control system with high reliability can be formed by low-reliability elements as long as the design, the assembly and the use are proper.
(3) In another preferred embodiment of the invention, the self-learning and the autonomous improvement are realized by long-term accumulation and calculation of the dynamic characteristics of the water collecting well and the characteristics of the water collecting well, and the differential control of similar objects is realized.
(4) In the working process of the control system, comprehensive self-diagnosis is realized through the characteristics of the control system, self-control is realized according to the diagnosis result, and the intervention of human beings on the control process is reduced or not relied.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that directions or positional relationships indicated by "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like are directions or positional relationships described based on the drawings, and are only for convenience of description and simplification of description, and do not indicate or imply that the device or element referred to must have a specific orientation, be configured and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
Furthermore, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment provides a diagnosis control method based on water level data association of a water collecting well, which is applied to various automatic control systems, and can report errors instead of halt for the water collecting well when a certain device generating process data is abnormal according to the actual change condition of the process data, so that the influence caused by integral halt is avoided.
Specifically, as shown in fig. 1, the method includes a data association establishing step S1 and a data association processing step S2. The data association establishing step comprises the following substeps:
s11: establishing an incidence relation of data, wherein the data comprises control data and at least one piece of non-control data; the control data is a water level and the non-control data is other data associated with the water level including one or more of a water level rise/fall speed, a water collection well water volume, a drain pump flow rate, a drain pump run/stop time, a motor current, and a motor voltage.
The control data (namely water level) are main monitoring control data and control basis of the water collecting well, and the non-control data (namely one or more of water level rising/falling speed, water quantity of the water collecting well, flow rate of a drainage pump, running/stopping time of a drainage pump, current of a motor and voltage of the motor) are other data related to the control data.
Preferably, in this embodiment, the non-control data further includes other data causing the change of the water level data and other data causing the change of the other data due to the change of the water level data.
In addition, the data includes the process data detection value itself and/or the rate of change of the process data detection value.
In this embodiment, the control object is a water collecting well, and the control data is a water level. And its corresponding non-control data includes one or more of a water level rising/falling speed, a sump water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage.
S12: and setting a limit interval of non-control data of the control data when the control data is at the designated value.
In this embodiment, the step specifically includes the following three cases:
(1) Manually setting various working conditions of the water collecting well under normal operation to obtain a limit interval of data (water level and associated non-control data) of the water collecting well under various working conditions, namely the maximum value and the minimum value of the corresponding non-control data when each value of the water level data of the water collecting well under various working conditions occurs in normal operation; or
(2) Setting a limit interval according to data detected after the water collecting well is put into normal operation, namely obtaining the maximum value and the minimum value of the water level data corresponding to the non-control data when each value is taken in the normal operation process of the water collecting well; or
(3) And simulating the maximum value and the minimum value of the non-control data corresponding to the water level data in each value in the normal operation of the water collecting well in a software simulation mode to set a limit interval.
The setting of the limit interval can be obtained according to the artificial set working condition, can also be set according to the actual running condition, and can also be realized in a simulation mode.
The limit value set in addition can be the actual value or a percentage of the actual value obtained.
That is, in the present embodiment, it is necessary to establish the limit intervals between the water level and one or more of the water level rising/falling speed, the water collection well water amount, the drain pump flow rate, the drain pump operation/stop time, the motor current, and the motor voltage, respectively, at the respective water level values.
After the data association establishing step S1 is completed, the data association processing step S2 is started. Specifically, the data association processing step includes the following sub-steps:
s2: the judgment of the data collected in real time comprises the following steps:
and when the value of certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, the water level and the associated non-control data are considered not to accord with the correlation rule, and the water level data is diagnosed and reported in error.
In this embodiment, that is, when the water level is taken as a value of each water level, the acquired data of the water level rising/falling speed, the water amount of the water collecting well, the flow rate of the water discharging pump, the operation/stop time of the water discharging pump, the current of the motor, and the voltage of the motor are respectively compared with the corresponding limit intervals, and if N of the data exceed the limit intervals, the control data are reported in error.
In a normal situation, in the data establishing step S1, when the process data collected in real time is in a normal situation, the non-control data in the process data certainly falls within the limit interval of the corresponding control data.
If the value of a certain critical non-control data and/or a plurality of non-control data in a certain group of associated data at a certain time point does not fall into the limit interval of the corresponding value of the corresponding water level data, the water level data and the associated non-control data are not in accordance with the correlation rule, at this time, the water level data is judged to be invalid (namely, a sensing device generating the control data or a transmission line has a problem), and the water level data is diagnosed and reported incorrectly.
That is, if the situation in the above steps occurs, there is a high possibility that a problem occurs in the sensor for collecting the water level, and the water level sensor needs to be reported by mistake.
In addition, in the preferred embodiment of this embodiment, when the value of a certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, it is determined that the water level data is in error, and the error is not taken as the control basis of the corresponding water level of the water collection well, but the non-control data is taken as the control basis to perform fault-tolerant control on the water level of the water collection well, that is, the non-control data is taken as the basis to perform indirect control on the water level of the water collection well.
Specifically, in the preferred embodiment herein, the "the water level data should not be used as a basis for controlling the water level of the corresponding water collecting well, and the non-control data should be used as a basis for controlling the water level of the corresponding water collecting well" includes two ways to control:
(1) And respectively setting a threshold value for the non-control data, namely controlling the water collecting well according to the threshold value setting condition of the non-control data. I.e. if the non-control data exceeds the threshold value at this time, the operation of starting the standby actuator or even alarming is carried out, depending on the actual situation.
(2) Setting a threshold value for the control data, reversely deducing the value of the return water level data according to the actual range of a plurality of non-control data (the method needs to collect a large amount of existing data for realization), and comparing the deduced water level data with the threshold value.
At the moment, the fault-tolerant operation of the whole automatic control system is realized, namely when the abnormality occurs between the water level data and the non-control data, the non-control data can be used for controlling the system instead of directly stopping the system.
Often, the above-mentioned conditions occur, typically a reduction in the efficiency or health failure of the equipment of the sump well. Because in general, even if the data is higher or lower in the whole, the non-control data in the data and the water level data conform to the law of correlation, and the numerical value of a certain non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding control data.
Specifically, in some cases, the amount of non-control data may be set in a proportional manner, for example, if more than 33 percent of non-control data does not fall within the limit interval of the corresponding control data, the water level data is considered invalid; in other cases, the setting may also be performed according to the number of specific non-control data, for example, if 2 non-control data do not fall within the limit interval of the value of the corresponding control data, the control data is considered to be invalid. In addition, when a certain non-control data is strongly associated with the water level data or the non-control data is very important, the water level data is directly considered invalid when the non-control data does not fall into the limit interval of the corresponding control data. The above situations need to be determined according to actual situations.
Preferably, in this embodiment, in the step S2 of data association processing, the method further includes determining newly acquired process data:
when the value of a certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, the water level data and the associated non-control data are considered to accord with the correlation rule, and the water level data is judged to be effective and is used as the control basis of the water level of the corresponding water collecting well;
meanwhile, the non-control data which do not fall into the limit interval and the water level data associated with the non-control data are judged not to accord with the correlation rule, the non-control data are further considered as invalid data, the non-control data are reported in error, and the non-control data are not used as a diagnosis basis for the water level of the water collecting well.
Contrary to the above mentioned data association processing step S2, this step is used to determine whether the water level data is normal data, specifically, if most of the non-control data or some critical non-control data falls within the limit interval of the water level data, the water level data is considered as normal data.
At this time, corresponding to such a situation, it is preferable that in the present embodiment, in a case where a value of a certain non-control data and/or a plurality of non-control data falls within a limit interval of corresponding control data, it is determined that the non-control data that does not fall within the limit interval and the water level data associated therewith do not conform to the correlation rule, and further, the non-control data is regarded as invalid data, and an error is reported to the non-control data and is not taken as a control basis for diagnosing the water level of the sump.
And further judging whether the element or the related equipment obtaining the non-control data is abnormal and taking corresponding operation. That is, the non-control data that does not fall into the deviation distribution area at this time is usually abnormal data, and a corresponding judgment operation needs to be performed manually/by a machine.
Meanwhile, in this embodiment, preferably, when a value of a certain critical non-control data and/or a plurality of non-control data falls into a limit interval of a value corresponding to the water level data, and a value of one and/or a plurality of non-control data does not fall into a limit interval of a value corresponding to the water level data, it is diagnosed that the value does not conform to the correlation rule between the critical non-control data and the associated water level data, and according to an error report condition of the non-control data, the water level of the water collecting well is subjected to predictive control in an advance and/or delay manner according to the water level data.
Specifically, when most of the non-control data are in the limit interval of the water level data, the non-control data are not used as the control basis of the water collecting well, but the non-control data exceeding the limit process interval can also indicate that the related content has problems (the acquisition end has problems or the data acquisition has problems), so that the water level of the water collecting well can be controlled in advance and/or in delay according to the error reporting condition of the non-control data.
In this case, when abnormality occurs in the non-control data, predictive control is performed based on the water level data.
In this embodiment, when the water level of the water collecting well is at a certain water level value, the actual values of the water level rising/falling speed, the water amount of the water collecting well, the flow rate of the drain pump, the operation/stop time of the drain pump, the motor current and the motor voltage are respectively compared with the corresponding limit intervals, and if only the water amount of the water collecting well exceeds the corresponding limit intervals, the water amount of the water collecting well is reported in error.
Meanwhile, a predictive control mode is adopted, and when the water quantity of the water collecting well exceeds a corresponding limit interval or under other conditions, the water collecting well is controlled in advance/delay according to the actual condition of the water level.
In any case, when the water level data exceeds the set threshold, the relevant operation is performed on the water collecting well. For predictive control, the threshold is adjusted according to the error of the non-control data, so that the water level data is controlled before reaching the original threshold.
Where the predictive control and fault tolerant control are "and/or" relationships exist.
In addition, based on any implementation of the above, in this embodiment, the limit section is replaced by a positive/negative deviation range, where the positive/negative deviation range is obtained by the following steps:
continuously detecting data including water level data and relevant non-control data of the water collecting well in the actual operation of the water collecting well;
acquiring an average value relation curve of corresponding non-control data when the water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve;
and determining the positive and negative deviation range of data association according to the average value relation curve and the standard normal distribution rule curve.
That is, the present embodiment further provides a diagnostic method, which can replace the limit process interval with the positive and negative deviation range in the data judgment, and report an error to the sump water level and perform the fault-tolerant control and the predictive control in the above preferred scheme when it is judged that the process data including the control data and the non-control data exceeds the positive and negative deviation range and does not meet the requirement of the normal distribution rule.
The manner of setting the positive and negative deviation ranges is the same as the manner of setting the limit process interval, and is not described herein again.
Specifically, in the data association establishing step S1, since a large amount of data is subjected to the standard normal distribution calculation, when newly acquired data is in a normal condition, non-control data in the data certainly falls into a deviation distribution area of corresponding water level data.
Specifically, in this step, the control data in the process data of the water collection well may be used as the abscissa axis x, and the non-control data in the process data of the water collection well may be used as the ordinate axis y, so as to establish the association relationship y = f (x) between the control data and each non-control data, and obtain the average value curve corresponding to the non-control data.
In general, in the case of a smaller amount of data in the previous period, the bias distribution area may be set to sixty percent, and in the case of a larger amount of data in the later period, the bias distribution area may be set to ninety-five percent or even ninety-nine percent.
Example 2
The embodiment provides a diagnosis control system based on water level data association of a water collecting well, the inventive concept of the system is the same as that of the embodiment 1, the system is applied to various automatic control systems, and the system can report errors instead of halt when a certain device generating process data is abnormal according to the actual change condition of the process data, so that the influence caused by integral halt is avoided.
Specifically, as shown in fig. 2, the system includes a water level data association establishing module and a water level data association processing module, where the water level data association establishing module includes:
a data association unit: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for establishing an incidence relation of data, and the data comprises control data and at least one non-control data; the control data is a water level, and the non-control data is other data associated with the water level, including one or more of a water level rising/falling speed, a water collection well water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage;
a limit section setting unit: the limit interval is used for setting the non-control data of the water level when the water level is at the designated value;
the water level data association processing module is used for judging data collected in real time and comprises the following steps:
a control data determination unit: and when the value of certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, the water level and the associated non-control data are considered not to accord with the correlation rule, and the water level data is diagnosed and reported in error.
Preferably, in the embodiment, in the process of determining by the control data determining unit, when a value of a certain critical non-control data and/or a plurality of non-control data does not fall into a limit interval of a corresponding value of the water level, it is determined that the water level data is in error, and the error is not taken as a control basis of the corresponding water level of the water collecting well, but the non-control data is taken as a control basis to perform fault-tolerant control on the water level of the water collecting well, that is, the non-control data is taken as a basis to perform indirect control on the water level of the water collecting well.
Preferably, in this embodiment, the water level data association processing module further includes:
a non-control data judgment unit: the method is used for judging that the water level data is effective and is used as a control basis of the water level of the corresponding water collecting well when the numerical value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, and the water level data and the associated non-control data are considered to accord with the correlation rule;
meanwhile, the non-control data which does not fall into the limit interval and the water level data associated with the non-control data are judged not to accord with the correlation rule, the non-control data are further considered as invalid data, the error is reported for the non-control data, and the non-control data are not used as the diagnosis basis of the water level of the water collecting well.
Preferably, in this embodiment, in the non-control data determining unit, when a value of a certain critical non-control data and/or a plurality of non-control data falls into a limit interval of a value corresponding to the water level data, and when a value of one and/or a plurality of non-control data does not fall into a limit interval of a value corresponding to the water level data, it is diagnosed that the value does not conform to the correlation rule with the associated water level data, and according to an error report condition of the non-control data, predictive control is performed on the water level of the water collecting well in an early and/or late manner according to the water level data.
Preferably, in this embodiment, further, the setting of the limit interval of the non-control data when the water level is at the designated value includes:
the method comprises the steps that the limit working condition of a water collecting well in normal operation is artificially set, and the limit interval of the incidence relation between water level data of the water collecting well and non-control data in the limit working condition is obtained, namely the maximum value and the minimum value of the non-control data when the water level is in a designated value when the water collecting well is in the limit working condition in normal operation; or:
automatically setting a limit process interval according to water level data and non-control data detected in the operation of the water collecting well, namely obtaining and automatically setting the maximum value and the minimum value of the non-control data when a water level specified value is taken in the operation of the water collecting well; or:
and simulating the maximum value and the minimum value of the non-control data when the water level of the water collecting well is subjected to specified value selection by a software simulation mode to set the limit interval of the non-control data when the water level is subjected to the specified value selection.
Preferably, in this embodiment, the limit interval is replaced by a positive and negative deviation range;
the limit interval setting unit is replaced by a positive and negative deviation range setting unit, and the positive and negative deviation range setting unit comprises the following subunits: a data acquisition subunit: the system comprises a water level detection module, a water level control module and a control module, wherein the water level detection module is used for continuously detecting data of a water collecting well in the actual operation of the water collecting well, wherein the data comprises water level data and non-control data related to the water level data; a data calculation subunit: the system is used for acquiring an average value relation curve of corresponding non-control data when the water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve; a positive and negative deviation range determination subunit: and the positive and negative deviation range of data association is determined according to the average value relation curve and the standard normal distribution rule curve.
Preferably, in this embodiment, the non-control data further includes other data causing the change of the water level data and other data causing the change of the other data due to the change of the water level data.
For a description of a relevant part in the diagnosis control system based on water level data association of the water collecting well provided in the embodiment of the present invention, reference is made to a detailed description of a corresponding part in the diagnosis control method based on water level data association of the water collecting well provided in embodiment 1 of the present invention, and details are not repeated herein. In addition, parts of the above technical solutions provided in the embodiments of the present invention that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail, so as to avoid redundant description.
Example 3
Based on the implementation of embodiment 1, the present embodiment further provides a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the diagnostic control method based on the water level data association described in embodiment 1 are executed.
Based on such understanding, the technical solution of the present embodiment or parts of the technical solution may be essentially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Example 4
Based on the implementation of embodiment 1, this embodiment further provides a terminal, which includes a memory and a processor, where the memory stores computer instructions executable on the processor, and the processor executes the computer instructions to perform the steps of the diagnosis control method based on water collection well level data association described in embodiment 1.
The functional units in the embodiments provided by the present invention may be integrated into one processor, or each unit may exist alone physically, or two or more units are integrated into one unit.
It is to be understood that the above-described embodiments are illustrative only and not restrictive of the broad invention, and that various other modifications and changes in light thereof will be suggested to persons skilled in the art based upon the above teachings. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the scope of the invention.
Claims (6)
1. The diagnosis control method based on the water level data association of the water collecting well is characterized in that: the method comprises a water level data association establishing step S1 and a water level data association processing step S2, wherein the water level data association establishing step comprises the following substeps:
s11: establishing an incidence relation of data, wherein the data comprises control data and at least one piece of non-control data; the control data is a water level, and the non-control data is other data associated with the water level, including one or more of a water level rising/falling speed, a water collection well water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage;
s12: the method for setting the limit interval of the non-control data when the water level is at the designated value comprises the following substeps:
the method comprises the steps that the limit working condition of a water collecting well in normal operation is artificially set, and the limit interval of the incidence relation between water level data of the water collecting well and non-control data in the limit working condition is obtained, namely the maximum value and the minimum value of the non-control data when the water level is in a designated value when the water collecting well is in the limit working condition in normal operation; or:
automatically setting a limit process interval according to water level data and non-control data detected in the operation of the water collecting well, namely obtaining and automatically setting the maximum value and the minimum value of the non-control data when a water level specified value is taken in the operation of the water collecting well; or:
simulating the maximum value and the minimum value of the non-control data during the designated value of the water level under the condition that the water level of the water collecting well has the limit working condition during the operation in a software simulation mode to set the limit interval of the non-control data during the designated value of the water level;
the data association processing step comprises the following substeps:
s2: the judgment of the data collected in real time comprises the following steps:
when the value of a certain key non-control data and/or a plurality of non-control data does not fall into the limit interval of the value corresponding to the water level, the water level and the associated non-control data are considered not to accord with the correlation rule, and at the moment, the water level data is judged to be invalid, namely, the sensing equipment generating the control data or the transmission line has a problem, and the water level data is diagnosed and reported in error; at the moment, a sensor for collecting the water level is likely to have problems, and the water level sensor needs to be reported by mistake at the moment;
the data association processing step further comprises one or both of the following two steps:
(1) When the value of certain key non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, judging that the water level data has an error and is not taken as the control basis of the water level of the corresponding water collecting well, and carrying out fault-tolerant control on the water level of the water collecting well by taking the non-control data as the control basis, namely indirectly controlling the water level of the water collecting well by taking the non-control data as the basis; the method comprises two modes for control:
(1-1) respectively setting a threshold value for the non-control data, namely controlling the water collecting well according to the threshold value setting condition of the non-control data; if the non-control data exceeds the threshold value at the moment, starting a standby executing mechanism and even alarming, and determining according to the actual situation;
(1-2) setting a threshold value for the control data, reversely deducing a numerical value which the water level data should have according to the actual range of the plurality of non-control data, and comparing the water level data obtained by deduction with the threshold value;
typically, the above-mentioned conditions occur, typically a reduction in the efficiency or health failure of the equipment of the sump; because in a normal situation, even if the overall data is higher or lower, the non-control data in the data and the water level data conform to a correlation rule, but the numerical value of a certain non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding control data;
setting the quantity of the non-control data in a proportional mode, or setting according to the quantity of the specific non-control data; or when a certain non-control data is in a strong association relation with the water level data or the non-control data is very important, directly considering that the water level data is invalid when the non-control data does not fall into a limit interval of the corresponding control data;
(2) In the data association processing step, the method also comprises the following steps of judging the data collected in real time:
when the value of a certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, the water level data and the associated non-control data are considered to accord with the correlation rule, and the water level data is judged to be effective and is used as the control basis of the water level of the corresponding water collecting well;
meanwhile, judging that the non-control data which does not fall into the limit interval and the water level data associated with the non-control data do not accord with the correlation rule, further considering that the non-control data are invalid data, reporting errors to the non-control data, and not taking the non-control data as a diagnosis basis of the water level of the water collecting well;
when the value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data and one and/or a plurality of non-control data does not fall into the limit interval of the value corresponding to the water level data, the non-control data and the associated water level data are diagnosed not to conform to the correlation rule, and the water level of the water collecting well is subjected to predictive control in an advance and/or delay mode according to the error reporting condition of the non-control data;
the limit interval is replaced by a positive and negative deviation range, and the acquisition mode of the positive and negative deviation range comprises the following steps:
continuously detecting data including water level data and relevant non-control data of the water collecting well in the actual operation of the water collecting well;
acquiring an average value relation curve of corresponding non-control data when the water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve;
determining the positive and negative deviation range of data association according to the average value relation curve and the standard normal distribution rule curve;
in the data association establishing step S1, because a large amount of data is subjected to standard normal distribution calculation, when newly acquired data is in a normal condition, non-control data in the data certainly fall into a deviation distribution area corresponding to water level data;
taking the control data in the process data of the water collecting well as an abscissa axis x and non-control data in the process data of the water collecting well as an ordinate axis y, establishing an incidence relation y = f (x) between the control data and each non-control data, and simultaneously obtaining an average value curve corresponding to the non-control data;
in general, in the case of a smaller amount of data in the previous period, the bias distribution area may be set to sixty percent, and in the case of a larger amount of data in the later period, the bias distribution area may be set to ninety-five percent or even ninety-nine percent.
2. The method of diagnostic control based on water collection well level data correlation of claim 1, wherein: the non-control data further includes other data causing a change in the water level data and other data causing a change in the other data due to a change in the water level data.
3. Diagnosis control system based on sump pit water position data is related which characterized in that: the water level data association establishing module comprises:
a data association unit: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for establishing an incidence relation of data, and the data comprises control data and at least one non-control data; the control data is a water level, and the non-control data is other data associated with the water level, including one or more of a water level rising/falling speed, a water collection well water amount, a drain pump flow rate, a drain pump operation/stop time, a motor current, and a motor voltage;
a limit section setting unit: the limit interval of the non-control data used for setting the water level when the value is appointed comprises the following steps:
the method comprises the steps that the limit working condition of a water collecting well in normal operation is artificially set, and the limit interval of the incidence relation between water level data of the water collecting well and non-control data in the limit working condition is obtained, namely the maximum value and the minimum value of the non-control data when the water level is in a designated value when the water collecting well is in the limit working condition in normal operation; or:
automatically setting a limit process interval according to water level data and non-control data detected in the operation of the water collecting well, namely obtaining and automatically setting the maximum value and the minimum value of the non-control data when a water level specified value is obtained and set in the operation of the water collecting well; or:
simulating the maximum value and the minimum value of the non-control data when the water level of the water collecting well is subjected to specified value taking by a software simulation mode to set the limit interval of the non-control data when the water level is subjected to the specified value taking;
the water level data association processing module is used for judging data collected in real time and comprises the following steps:
a control data determination unit: the method is used for judging that the water level and the associated non-control data do not accord with the correlation rule when the numerical value of certain key non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level, judging that the water level data is invalid, namely, the sensing equipment generating the control data or the transmission line has a problem, and diagnosing and reporting errors on the water level data; at the moment, a sensor for collecting the water level is likely to have problems, and the water level sensor needs to be reported by mistake at the moment;
when the value of certain critical non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding value of the water level in the judging process of the control data judging unit, judging that the water level data is in error and not used as the control basis of the water level of the corresponding water collecting well, and carrying out fault-tolerant control on the water level of the water collecting well by using the non-control data as the control basis, namely indirectly controlling the water level of the water collecting well by using the non-control data as the basis; the method comprises two modes for control:
(1-1) respectively setting a threshold value for the non-control data, namely controlling the water collecting well according to the threshold value setting condition of the non-control data; if the non-control data exceeds the threshold value at the moment, starting a standby executing mechanism and even alarming, and determining according to the actual situation;
(1-2) setting a threshold value for the control data, reversely deducing a numerical value which the water level data should have according to the actual range of the plurality of non-control data, and comparing the water level data obtained by deduction with the threshold value;
typically, the above conditions occur, typically a reduction in the efficiency or health failure of the equipment of the sump; in the general situation, even if the overall data is higher or lower, the non-control data in the data and the water level data conform to the correlation rule, but the numerical value of a certain non-control data and/or a plurality of non-control data does not fall into the limit interval of the corresponding control data;
setting the quantity of the non-control data in a proportional mode, or setting according to the quantity of the specific non-control data; or when a certain non-control data is in a strong association relation with the water level data or the non-control data is very important, directly considering that the water level data is invalid when the non-control data does not fall into the limit interval of the corresponding control data;
and/or:
the water level data association processing module further comprises:
a non-control data judgment unit: the method is used for judging that the water level data is effective and is used as a control basis of the water level of the corresponding water collecting well when the numerical value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data, and the water level data and the associated non-control data are considered to accord with the correlation rule;
meanwhile, judging that the non-control data which does not fall into the limit interval and the water level data associated with the non-control data do not accord with the correlation rule, further considering that the non-control data is invalid data, reporting an error to the non-control data, and not taking the non-control data as a diagnosis basis of the water level of the water collecting well;
in a non-control data judging unit, when the value of certain key non-control data and/or a plurality of non-control data falls into the limit interval of the value corresponding to the water level data and one and/or a plurality of non-control data does not fall into the limit interval of the value corresponding to the water level data, the non-control data and the associated water level data are diagnosed not to conform to the correlation rule, and the water level of the water collecting well is subjected to predictive control in an advance and/or delay mode according to the error reporting condition of the non-control data;
the limit interval is replaced by a positive and negative deviation range, and the acquisition mode of the positive and negative deviation range comprises the following steps:
continuously detecting data including water level data and relevant non-control data of the water collecting well in the actual operation of the water collecting well;
acquiring an average value relation curve of corresponding non-control data when the water level data is subjected to designated value taking, and establishing a standard normal distribution rule curve;
determining the positive and negative deviation range of data association according to the average value relation curve and the standard normal distribution rule curve;
in the data association unit, because a large amount of data is subjected to standard normal distribution calculation, when newly acquired data is in a normal condition, non-control data in the data definitely fall into a deviation distribution area of corresponding water level data;
taking the control data in the process data of the water collecting well as an abscissa axis x and non-control data in the process data of the water collecting well as an ordinate axis y, establishing an incidence relation y = f (x) between the control data and each non-control data, and simultaneously obtaining an average value curve corresponding to the non-control data;
in general, the deviation distribution area may be set to sixty percent in the case where the amount of data in the previous period is small, and may be set to ninety-five percent or even ninety-nine percent in the case where the amount of data in the subsequent period is large.
4. The sump well water level data association based diagnostic control system of claim 3, wherein: the non-control data further includes other data causing a change in the water level data and other data causing a change in the other data due to a change in the water level data.
5. A storage medium having computer instructions stored thereon, characterized in that: the computer instructions when executed perform the steps of the method of diagnostic control based on sump well level data correlation of claim 1 or 2.
6. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the method of diagnostic control based on water collection well level data correlation of claim 1 or 2.
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