CN107045325B - Control method and device based on object characteristic value - Google Patents
Control method and device based on object characteristic value Download PDFInfo
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- CN107045325B CN107045325B CN201710407909.2A CN201710407909A CN107045325B CN 107045325 B CN107045325 B CN 107045325B CN 201710407909 A CN201710407909 A CN 201710407909A CN 107045325 B CN107045325 B CN 107045325B
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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Abstract
The embodiment of the invention provides a control method and device based on object characteristic values, which are applied to a control system. The control system stores a characteristic value database of a controlled object, wherein the characteristic value database includes object characteristic value data corresponding to a state. Firstly acquiring a collected signal, processing the collected signal to obtain a collected signal characteristic value, then obtaining corresponding object characteristic value data in a characteristic value database according to the state corresponding to the collected signal characteristic value, and finally comparing the collected signal characteristic value with the object characteristic value data to identify the rationality and effectiveness of the collected signal so as to obtain a diagnosis result and adjust a control strategy, thereby avoiding the situation of control error or failure caused by abnormity of the collected signal.
Description
Technical Field
The invention relates to the field of industrial automation control, in particular to a control method and device based on object characteristic values.
Background
With the development of automatic control technology and the improvement of automation level, industrial automation controllers show diversified trends, such as: DCS, PLC, single chip microcomputer, embedded industrial computer, industrial computer and the like. The current industrial control technology is the process control of the same kind of non-difference curing program which is implemented on the basis of establishing a uniform mathematical model for a controlled object.
However, the current control method has many disadvantages. For example, the current control mode is based on preset target parameters and a solidified control flow, and only simple diagnosis is performed in the control process, and the premise is that a signal source is accurate and a signal is accurate. The switching value signal is only judged whether the input channel has a fault or not, whether the analog value is in a limited range or not and the like, and the extreme states of the signal cannot be judged whether the signal is in other conditions (for example, measurement inaccuracy caused by jumping, abnormal on-off, sensor temperature or time drift occurring in signal fault), so that the conditions of control error, failure, operation quitting and the like are caused.
Disclosure of Invention
In view of the above, an object of a preferred embodiment of the present invention is to provide an object feature value-based control method for identifying reasonability and validity of a collected signal, which is applied to a control system that stores a feature value database of a controlled object, wherein the feature value database includes object feature value data corresponding to states, the method including:
acquiring an acquisition signal, and processing the acquisition signal to obtain an acquisition signal characteristic value;
searching corresponding object characteristic value data from the characteristic value database according to the state corresponding to the acquired signal characteristic value;
and comparing the acquired signal characteristic value with the object characteristic value data, and obtaining a corresponding diagnosis result according to a comparison result.
Another preferred embodiment of the present invention further provides an object feature value-based control apparatus applied to a control system in which a feature value database of a controlled object is stored, wherein the feature value database includes object feature value data corresponding to states, the apparatus including:
the acquisition module is used for acquiring an acquisition signal and processing the acquisition signal to obtain an acquisition signal characteristic value;
the first searching module is used for searching corresponding object characteristic value data from the characteristic value database according to the state corresponding to the acquired signal characteristic value;
and the comparison diagnosis module is used for comparing the acquired signal characteristic value with the object characteristic value data and obtaining a corresponding diagnosis result according to the comparison result.
Compared with the prior art, the control method and device based on the object characteristic value provided by the embodiment of the invention have the following beneficial effects:
and searching corresponding object characteristic value data in a characteristic value database of a controlled object prestored in the control system by acquiring the state corresponding to the signal characteristic value, wherein the characteristic value database comprises object characteristic value data corresponding to the state. And comparing the searched object characteristic value data with the acquired signal characteristic value, and obtaining a corresponding diagnosis result according to the comparison result. Therefore, the reasonability and the effectiveness of the acquired signals are identified, so that the situation of control error or failure caused by the abnormal acquired signals is avoided, and meanwhile, the common configuration method of the sensor of three-out-of-two or five-out-of-three, which has to be adopted by the conventional automatic control system to improve the reliability of the acquired signals, can be avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of a control system according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of a control method based on an object feature value according to an embodiment of the present invention.
Fig. 3 is a second flowchart of a control method based on object feature values according to an embodiment of the present invention. .
Fig. 4 is a third schematic flowchart of a control method based on an object feature value according to an embodiment of the present invention.
Fig. 5 is a fourth flowchart illustrating a control method based on object feature values according to an embodiment of the present invention.
Fig. 6 is a fifth flowchart illustrating a control method based on object feature values according to an embodiment of the present invention.
Fig. 7 is a flowchart illustrating the sub-steps included in step S101 in fig. 6.
Fig. 8 is a functional block diagram of a control device based on object feature values according to an embodiment of the present invention.
Fig. 9 is another functional block diagram of a control device based on an object feature value according to an embodiment of the present invention.
Icon: 100-a control system; 110-a memory; 120-a memory controller; 130-a processor; 200-a control device; 201-creation module; 210-an obtaining module; 220-a first lookup module; 230-alignment diagnostic module; 231-a second lookup module; 232-a control module; 240-obtaining a module; 250-a first judgment module; 251-a first processing module; 260-a detection module; 270-a second judgment module; 271-a second processing module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a block diagram of a control system 100 according to an embodiment of the present invention. The control system 100 includes: control device 200, memory 110, memory controller 120, and processor 130.
The elements of the memory 110, the memory controller 120 and the processor 130 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 110 stores therein a control device 200, and the control device 200 includes at least one software functional module that can be stored in the memory 110 in the form of software or firmware (firmware). The processor 130 executes various functional applications and data processing, that is, implements the object feature value-based control method in the embodiment of the present invention, by executing software programs and modules stored in the memory 110, such as the control device 200 in the embodiment of the present invention.
The Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 110 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction. Access to the memory 110 by the processor 130 and possibly other components may be under the control of the memory controller 120.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It is to be understood that the configuration shown in fig. 1 is merely a schematic diagram of the configuration of the control system 100, and that the control system 100 may include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Referring to fig. 2, fig. 2 is a flowchart illustrating a control method based on object feature values according to an embodiment of the present invention. The method is applied to a control system 100, and the control system 100 stores a characteristic value database of a controlled object, wherein the characteristic value database contains object characteristic value data corresponding to a state. A detailed description will be given below of a specific flow of the object feature value-based control method.
Step S110, acquiring a collected signal, and processing the collected signal to obtain a collected signal characteristic value.
In this embodiment, the collected signal characteristic value includes, but is not limited to, the input quantity and the physical quantity characteristic exhibited by the controlled object when the controlled object operates. The physical quantity characteristic refers to inherent physical characteristic data of the controlled object (such as the rotating speed, the pressure, the rising and falling time of the object physical quantity of the liquid level, the process characteristic and the like). Therefore, the current situation that the control mode or the logic relation of the existing automatic control system does not depend on the parameter characteristics of the main physical quantity of the controlled object is changed, and the controlled object can be a single device or a certain functional hardware unit in the single device.
And step S120, searching corresponding object characteristic value data from the characteristic value database according to the state corresponding to the acquired signal characteristic value.
In this embodiment, the variation process of the characteristic value expression of the collected signal is different in different states. The corresponding object characteristic value data can be searched from the characteristic value database through the corresponding state, wherein the object characteristic value data can comprise the maximum value, the minimum value, the average value of the change of the acquired signal and the maximum value, the minimum value and the average value of the change rate, and the state includes, but is not limited to, the working condition, the running time and the like.
And step S130, comparing the acquired signal characteristic value with the object characteristic value data, and obtaining a corresponding diagnosis result according to the comparison result.
Referring to fig. 3, fig. 3 is a second schematic flowchart of a control method based on object feature values according to an embodiment of the present invention. The method further comprises the following steps:
step S131, searching a corresponding control strategy according to the diagnosis result.
In this embodiment, the control system 100 may further store a control policy, where the control policy corresponds to the diagnosis result, and the control policy includes the object to be controlled and an operation performed on the object to be controlled. The control strategy can be control experience obtained by experienced workers according to long-term working experience, for example, when one collected data exceeds a normal range, the output power or the rotating speed of the power equipment can be regulated and controlled.
In this embodiment, the control strategy may be stored in the control system 100 in advance, or may be updated periodically or aperiodically.
And step S132, controlling the object to be controlled to execute corresponding operation according to the control strategy so as to realize diagnosis control based on object characteristic value data.
According to the control strategy, the control system 100 generates a control command to enable the object to be controlled to execute corresponding operations, so as to readjust the acquired data to be within a normal range.
In other embodiments of this embodiment, the control strategy may be video or audio for guiding a field person to perform adjustment, and the field person performs adjustment of the device to be controlled according to the video or audio, so as to reduce the requirement on the working experience of the field person.
Referring to fig. 4, fig. 4 is a third schematic flowchart of a control method based on object feature values according to an embodiment of the present invention. The characteristic value database includes object characteristic value data corresponding to a control command, and the method further includes the following steps.
Step S140, sending a control instruction, and obtaining controlled parameter information based on the control instruction.
In this embodiment, the control system 100 sends a control command to the actuator according to the collected signal, and when the actuator executes the control command, a controlled parameter in the control command changes. The control system 100 obtains information about the controlled parameter, such as the change of the controlled parameter and the range of the change rate, in real time.
Step S150, determining whether the variation range of the controlled parameter and the variation rate range of the controlled parameter are within a first preset target characteristic value data range.
In the embodiment of the present embodiment, the maximum value, the minimum value, the average value, and the maximum value, the minimum value, and the average value of the variation of the controlled parameter are compared with the first preset target characteristic value data stored in the control system 100 in advance to obtain the determination result.
If the variation range of the controlled parameter and the variation rate range of the controlled parameter are within the first preset target characteristic value data range, which indicates that the control is reasonable and reliable, step S151 is executed.
And step S151, performing an operation according to the control instruction.
If the variation range of the controlled parameter and the variation rate range of the controlled parameter are not within the first preset target characteristic value data range, which indicates that the control is not reasonable and reliable, step S152 is performed.
In step S152, the control instruction is processed in an abnormal condition.
In the control process, the physical process of the controlled parameter is detected and is operated, compared, diagnosed and controlled with the characteristic value data in the characteristic value data base, so that control errors (such as misoperation) caused by signal acquisition and output execution faults, faults of the control system 100 and the like are avoided. Through the judgment of the collected signals and the output execution faults, the faults and defects of an automatic monitoring element (such as a sensor) and an automatic execution element (such as an actuator) can be effectively judged, and the diagnosis function of the input and output elements is realized.
By integrating the actuator and the control system 100, the output of the actuator is the input of the control system 100, and the output of the control system 100 is the input of the actuator, which are restricted, coordinated and checked with each other, so that the reliability of either one is reduced, and the system structure and the program structure are simplified.
Referring to fig. 5, fig. 5 is a fourth flowchart illustrating a control method based on object feature values according to an embodiment of the present invention. The method further comprises the following steps.
In step S160, the variation range of the parameter related to the control target and the variation rate range of the parameter related thereto are detected.
The control system 100 is connected with other systems to perform corresponding functions. As other systems change, parameters associated with the other systems in the control system 100 may also change. When other systems connected to the control system 100 change, the control system 100 obtains the range of change and the range of the rate of change of the relevant parameters. The variation range of the related parameter may include a maximum value, a minimum value, and an average value of the variation of the related parameter, and the variation rate range of the related parameter may include a maximum value, a minimum value, and an average value of the variation rate of the related parameter.
Step S170, determining whether the variation range of the related parameter and the variation rate range of the related parameter are within a second preset target characteristic value data range.
In the embodiment of the present embodiment, the maximum value, the minimum value, the average value, and the maximum value, the minimum value, and the average value of the variation of the related parameter are compared with the second preset target characteristic value data stored in the control system 100 in advance to obtain the determination result.
If the variation range of the relevant parameter and the variation rate range of the relevant parameter are within the second preset object feature value data range, which indicates that the relevant parameter is reasonable and can participate in the control of the control system 100, step S171 is executed next.
In step S171, it is judged that the relevant parameter is reasonable.
If the variation range of the relevant parameter and the variation rate range of the relevant parameter are not within the second preset target feature value data range, step S172 is executed.
In step S172, no information is collected about the relevant parameters.
Referring to fig. 6, fig. 6 is a fifth flowchart illustrating a control method based on object feature values according to an embodiment of the present invention. The method further comprises a step S101 of creating a characteristic value database.
Referring to fig. 7, fig. 7 is a flowchart illustrating sub-steps included in step S101 in fig. 6. The step S101 includes a sub-step S1011 and a sub-step S1012.
In the sub-step S1011, a corresponding relationship between the state and the object feature value data is established.
And recording the characteristic values of the collected signals in different states and in different states when the system normally operates.
In the substep S1012, the characteristic value data of the object in a preset time period is collected, and the collected characteristic value data of the object is processed to obtain the characteristic value database.
When the system is in normal operation, besides recording the collected signal characteristic value, the control instruction and the corresponding controlled parameter sent by the control system 100 according to the collected signal characteristic value are also recorded to obtain the object characteristic value data, and an object characteristic value database is established.
Referring to fig. 8, fig. 8 is a functional block diagram of a control apparatus 200 based on object feature values according to an embodiment of the present invention. The control device 200 is applied to a control system 100, and a characteristic value database of a controlled object is stored in the control system 100, wherein the characteristic value database includes object characteristic value data corresponding to a state. The control device 200 includes an obtaining module 210, a first searching module 220, and a comparing and diagnosing module 230.
The obtaining module 210 is configured to obtain a collected signal, and process the collected signal to obtain a collected signal characteristic value.
In the present embodiment, the obtaining module 210 is configured to execute step S110 in fig. 2, and the detailed description about the obtaining module 210 may refer to the description of step S110.
The first searching module 220 is configured to search, according to the state corresponding to the acquired signal feature value, corresponding object feature value data from the feature value database.
In this embodiment, the first lookup module 220 is configured to perform step S120 in fig. 2, and the detailed description about the first lookup module 220 may refer to the description about step S120.
The comparison diagnosis module 230 is configured to compare the acquired signal characteristic value with the object characteristic value data, and obtain a corresponding diagnosis result according to the comparison result.
In this embodiment, the comparison diagnosis module 230 is configured to execute step S130 in fig. 2, and the detailed description about the comparison diagnosis module 230 may refer to the description of step S130.
In this embodiment, the control system 100 further stores a control policy corresponding to the diagnosis result, where the control policy includes the object to be controlled and the operation performed on the object to be controlled, and the control device 200 further includes:
and a second searching module 231, configured to search for a corresponding control policy according to the diagnosis result.
In this embodiment, the second lookup module 231 is configured to perform step S131 in fig. 3, and the detailed description about the second lookup module 231 may refer to the description of step S131.
And the control module 232 is configured to control the object to be controlled to perform a corresponding operation according to the control policy, so as to implement diagnostic control based on object characteristic data.
In the present embodiment, the control module 232 is configured to execute step S132 in fig. 3, and the detailed description about the control module 232 may refer to the description of step S132.
Referring to fig. 9, fig. 9 is another functional block diagram of a control apparatus 200 based on object feature values according to an embodiment of the present invention. The characteristic value database includes object characteristic value data corresponding to the control command. The control device 200 further includes: an obtaining module 240, a first determining module 250, and a first processing module 251.
An obtaining module 240, configured to send a control instruction, and obtain controlled parameter information based on the control instruction, where the controlled parameter information includes a change range of a controlled parameter and a change rate range of the controlled parameter.
In the present embodiment, the obtaining module 240 is configured to execute step S140 in fig. 4, and the detailed description about the obtaining module 240 may refer to the description of step S140.
And the first judging module 250 is used for comparing the change range of the controlled parameter and the change rate range of the controlled parameter with the object characteristic value data corresponding to the state.
In the present embodiment, the first determining module 250 is configured to execute step S150 in fig. 4, and the detailed description about the first determining module 250 may refer to the description of step S150.
When the variation range of the controlled parameter and the variation rate range of the controlled parameter are within a first preset object characteristic value data range, the first processing module 251 operates according to the control instruction.
In this embodiment, the first processing module 251 is configured to execute step S151 in fig. 4, and the detailed description about the first processing module 251 may refer to the description of step S151.
When the variation range of the controlled parameter and the variation rate range of the controlled parameter are not within the first preset target characteristic value data range, the first processing module 251 processes the control command in an abnormal condition.
In this embodiment, the first processing module 251 is configured to execute step S152 in fig. 4, and the detailed description about the first processing module 251 may refer to the description about step S152.
Referring to fig. 9 again, the control device 200 further includes: a detection module 260, a second determination module 270, and a second processing module 271.
The detecting module 260 is configured to detect a variation range of a parameter related to the control object and a variation rate range of the related parameter.
In the present embodiment, the detecting module 260 is configured to perform step S160 in fig. 5, and the detailed description about the detecting module 260 may refer to the description of step S160.
A second determining module 270, configured to compare the variation range of the related parameter and the variation rate range of the related parameter with the target characteristic value data.
In this embodiment, the second determining module 270 is configured to execute step S170 in fig. 5, and the detailed description about the second determining module 270 may refer to the description about step S170.
The second processing module 271 determines that the relevant parameter is reasonable when the variation range of the relevant parameter and the variation rate range of the relevant parameter are within a second preset target feature value data range.
In the present embodiment, the second processing module 271 is configured to execute step S171 in fig. 5, and the detailed description about the second processing module 271 may refer to the description of step S171.
The second processing module 271 determines that no credit is received for the relevant parameter when the change range of the relevant parameter and the change rate range of the relevant parameter are not within a second preset target feature value data range.
In the present embodiment, the second processing module 271 is configured to execute step S172 in fig. 5, and the detailed description about the second processing module 271 may refer to the description of step S172.
Referring to fig. 9 again, the control apparatus 200 may further include a creation module 201. A creating module 201 for creating a characteristic value database.
In this embodiment, the manner of creating the characteristic value database by the creating module 201 includes:
establishing a corresponding relation between the state and the object characteristic value data;
and collecting object characteristic value data in a preset time period, and processing the collected object characteristic value data to obtain the characteristic value database.
In this embodiment, the second creating module 201 is configured to execute step S101 in fig. 6, and the detailed description about the creating module 201 may refer to the description of step S101.
In summary, in the control method and device based on the object characteristic value provided by the embodiment of the present invention, the characteristic value of the collected signal is obtained by obtaining the collected signal and processing the collected signal; searching corresponding object characteristic value data from a characteristic value database of a controlled object according to the state corresponding to the acquired signal characteristic value; and comparing the acquired signal characteristic value with the object characteristic value data, and obtaining a corresponding diagnosis result according to a comparison result. The operation efficiency, stability and variation trend of the executing mechanism and the system thereof can be obtained by calculating and comparing the data acquired in real time with the data in the characteristic database, so that fault diagnosis, state analysis and repair are performed. Therefore, the system replaces the current operation and maintenance personnel to carry out the itinerant inspection on the equipment and the preventive test for detecting the defects and hidden dangers of the equipment and the system, and realizes the maintenance-free operation of the equipment system.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A control method based on object characteristic values is applied to a control system, the control system stores a characteristic value database of a controlled object, wherein the characteristic value database comprises object characteristic value data corresponding to states and object characteristic value data corresponding to control commands, and the method comprises the following steps:
acquiring an acquisition signal, and processing the acquisition signal to obtain an acquisition signal characteristic value;
searching corresponding object characteristic value data from the characteristic value database according to the state corresponding to the acquired signal characteristic value;
comparing the acquired signal characteristic value with the object characteristic value data, and obtaining a corresponding diagnosis result according to a comparison result, wherein the diagnosis result comprises the normal acquired signal and the abnormal acquired signal;
detecting a variation range of a parameter related to a control object and a variation rate range of the related parameter;
comparing the variation range of the related parameter and the variation rate range of the related parameter with the target characteristic value data;
if the variation range of the related parameters and the variation rate range of the related parameters are within a second preset object characteristic value data range, the related parameters are reasonable;
if the variation range of the related parameters and the variation rate range of the related parameters are not in a second preset object characteristic value data range, no credit is collected on the related parameters;
sending a control instruction for a normal acquired signal characteristic value and/or a reasonable related parameter of an acquired signal according to the diagnosis result to obtain controlled parameter information based on the control instruction, wherein the controlled parameter information comprises a variation range of a controlled parameter and a variation rate range of the controlled parameter;
comparing the change range of the controlled parameter and the change rate range of the controlled parameter with the object characteristic value data corresponding to the state;
if the change range of the controlled parameter and the change rate range of the controlled parameter are in a first preset object characteristic value data range, operating according to the control instruction;
and if the change range of the controlled parameter and the change rate range of the controlled parameter are not in a first preset target characteristic value data range, processing the control command in an abnormal condition.
2. The control method according to claim 1, the control system further storing a control policy corresponding to a diagnosis result, wherein the control policy includes an object to be controlled and an operation to be performed on the object to be controlled, and the method further includes:
searching a corresponding control strategy according to the diagnosis result;
and controlling the object to be controlled to execute corresponding operation according to the control strategy so as to realize diagnosis control based on object characteristic value data.
3. The control method according to claim 1, characterized in that the method further comprises: creating a characteristic value database;
the step of creating a characteristic value database includes:
establishing a corresponding relation between the state and the object characteristic value data;
and collecting object characteristic value data in a preset time period, and processing the collected object characteristic value data to obtain the characteristic value database.
4. A control apparatus based on an object feature value, applied to a control system storing a feature value database of a controlled object, the feature value database including object feature value data corresponding to a state and object feature value data corresponding to a control command, the apparatus comprising:
the acquisition module is used for acquiring an acquisition signal and processing the acquisition signal to obtain an acquisition signal characteristic value;
the first searching module is used for searching corresponding object characteristic value data from the characteristic value database according to the state corresponding to the acquired signal characteristic value;
the comparison diagnosis module is used for comparing the acquired signal characteristic value with the object characteristic value data and obtaining a corresponding diagnosis result according to the comparison result, wherein the diagnosis result comprises the normal acquired signal and the abnormal acquired signal;
the detection module is used for detecting the change range of the parameters related to the control object and the change rate range of the related parameters;
a second judgment module for comparing the variation range of the related parameter and the variation rate range of the related parameter with the target characteristic value data;
the second processing module is used for judging that the related parameters are reasonable when the variation range of the related parameters and the variation rate range of the related parameters are within a second preset object characteristic value data range;
the second processing module is also used for judging that no credit is adopted for the related parameters when the variation range of the related parameters and/or the variation rate range of the related parameters are not in a second preset object characteristic value data range;
the acquisition module is used for sending a control instruction for a normal acquired signal characteristic value and reasonable related parameters of an acquired signal according to the diagnosis result to acquire controlled parameter information based on the control instruction, wherein the controlled parameter information comprises a variation range of a controlled parameter and a variation rate range of the controlled parameter;
the first judgment module is used for comparing the change range of the controlled parameter and the change rate range of the controlled parameter with the object characteristic value data corresponding to the state;
the first processing module is used for operating according to the control instruction when the change range of the controlled parameter and the change rate range of the controlled parameter are in a first preset object characteristic value data range;
and the first processing module is also used for processing the control command in an abnormal condition when the change range of the controlled parameter and the change rate range of the controlled parameter are not in a first preset target characteristic value data range.
5. The control apparatus according to claim 4, wherein the control system further stores a control policy corresponding to a diagnosis result, wherein the control policy includes an object to be controlled and an operation to be performed on the object to be controlled, the apparatus further comprising:
the second searching module is used for searching a corresponding control strategy according to the diagnosis result;
and the control module is used for controlling the object to be controlled to execute corresponding operation according to the control strategy so as to realize diagnosis control based on object characteristic value data.
6. The control device of claim 4, wherein the device further comprises:
the creating module is used for creating a characteristic value database;
the mode of the creation module for creating the characteristic value database comprises the following steps:
establishing a corresponding relation between the state and the object characteristic value data;
and collecting object characteristic value data in a preset time period, and processing the collected object characteristic value data to obtain the characteristic value database.
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