CN114755960A - Automatically controlled cabinet intelligence management and control system based on data analysis - Google Patents
Automatically controlled cabinet intelligence management and control system based on data analysis Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- 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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- G05B2219/00—Program-control systems
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Abstract
The invention discloses an electric control cabinet intelligent control system based on data analysis, which relates to the technical field of electric control cabinet intelligent control, solves the technical problem that the electric control cabinet cannot be intelligently controlled through data analysis in the prior art, judges whether the operation of the electric control cabinet is influenced by the environment through real-time environment monitoring, thereby improving the working efficiency of the electric control cabinet, monitors the real-time operation of the electric control cabinet so as to be capable of timely rectifying the electric control cabinet, and improves the control efficiency of the electric control cabinet; whether the real-time running state of the analysis object is qualified or not is judged, so that real-time accurate control is carried out on the real-time running efficiency of the corresponding analysis object, the work efficiency of the analysis object is guaranteed, meanwhile, the analysis object is prevented from being incapable of being maintained in time when the running state is abnormal, the running efficiency of the analysis object is reduced, and meanwhile, abnormal running of analysis object equipment is caused, and the service life of the equipment is shortened.
Description
Technical Field
The invention relates to the technical field of intelligent control of electric control cabinets, in particular to an intelligent control system of an electric control cabinet based on data analysis.
Background
The electric control cabinet is a control cabinet (box) which assembles switch equipment, a measuring instrument, protective electrical equipment and auxiliary equipment in a closed or semi-closed metal cabinet or on a screen according to the electric wiring requirement, and the arrangement of the electric control cabinet meets the requirement of normal operation of an electric power system, is convenient to overhaul and does not endanger the safety of people and surrounding equipment; in normal operation, the circuit can be switched on or off by means of a manual or automatic switch. When the fault or abnormal operation occurs, the circuit is cut off or an alarm is given by means of the protective electric appliance. The measuring instrument can display various parameters in operation, and can also adjust certain electrical parameters to prompt or send signals for deviation from normal working state.
However, in the prior art, the electric control cabinet can not carry out intelligent control on the electric control cabinet through data analysis in the operation process, the control efficiency of the electric control cabinet can not be ensured, and the operation life of the electric control cabinet can not be abraded.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an intelligent electric control cabinet management and control system based on data analysis, which judges whether the operation of an electric control cabinet is influenced by the environment or not through real-time environment monitoring, so that the working efficiency of the electric control cabinet is improved, and simultaneously monitors the real-time operation of the electric control cabinet so as to timely rectify the electric control cabinet and improve the management and control efficiency of the electric control cabinet; whether the real-time running state of the analysis object is qualified or not is judged, so that the real-time running efficiency of the corresponding analysis object is accurately controlled in real time, the work efficiency of the analysis object is favorably ensured, and meanwhile, the analysis object is prevented from being incapable of being maintained in time when the running state is abnormal, the running efficiency of the analysis object is reduced, and the abnormal running of the analysis object equipment is reduced, so that the service life of the equipment is shortened.
The purpose of the invention can be realized by the following technical scheme:
an electric control cabinet intelligent management and control system based on data analysis comprises a server, wherein the server is in communication connection with an operation intensity analysis unit, a real-time environment monitoring unit and an operation state analysis unit;
the server manages and controls the electric control cabinets which are put into use, and marks the corresponding electric control cabinets as analysis objects; meanwhile, a real-time environment monitoring signal is generated and sent to the real-time environment monitoring unit, after the real-time environment monitoring unit receives the real-time environment monitoring signal, the real-time environment monitoring unit monitors a real-time running environment corresponding to an analysis object, and whether the running of the electric control cabinet is influenced by the environment or not is judged through real-time environment monitoring; generating an environment monitoring qualified signal or an environment monitoring unqualified signal through real-time running environment monitoring, and sending the environment monitoring qualified signal or the environment monitoring unqualified signal to a server;
the server generates an operation state analysis signal and sends the operation state analysis signal to the operation state analysis unit, and the operation state analysis unit analyzes the real-time operation state of the corresponding analysis object after receiving the operation state analysis signal and judges whether the real-time operation state of the analysis object is qualified or not; generating a state analysis abnormal signal and a state analysis normal signal through real-time running state analysis, and sending the state analysis abnormal signal and the state analysis normal signal to a server;
The server generates an operation intensity analysis signal and sends the operation intensity analysis signal to the operation intensity analysis unit, the operation intensity analysis unit analyzes the operation intensity of a corresponding analysis object after receiving the operation intensity analysis signal, judges whether the real-time operation intensity of the analysis object is normal or not, divides the operation intensity of the analysis object into a low-intensity operation signal and a high-intensity operation through the operation intensity analysis, generates the low-intensity operation signal and the high-intensity operation signal at the same time, and sends the low-intensity operation signal and the high-intensity operation signal to the server.
As a preferred embodiment of the present invention, the operation process of the real-time environment monitoring unit is as follows:
carrying out environmental monitoring on an analysis object to obtain a historical operation time period of the analysis object, and acquiring qualified operation time and non-qualified operation time of the analysis object in the historical operation time period, wherein the qualified operation time is different from the non-qualified operation time in that whether the analysis object has a fault or not; acquiring an operation temperature range of an analysis object according to a historical operation time period of the analysis object, marking the operation temperature range as a preset operation temperature range, marking an operation temperature at a qualified operation time as a preset qualified temperature value, and marking an operation temperature at an unqualified operation time as a preset unqualified temperature value;
Analyzing the preset qualified temperature value, and if the times of the corresponding unqualified operation time to the preset qualified temperature value do not exceed the corresponding times threshold value, marking the corresponding preset qualified temperature value as a selected qualified temperature value; if the times of the non-qualified operation time corresponding to the preset qualified temperature value exceed the corresponding times threshold value, marking the corresponding preset qualified temperature value as a selected non-qualified temperature value;
analyzing the preset unqualified temperature value, and if the frequency of the corresponding preset unqualified temperature value at the qualified running time exceeds the corresponding frequency threshold value, marking the corresponding preset unqualified temperature value as a selected qualified temperature value; if the frequency of the corresponding preset unqualified temperature value at the qualified operation moment does not exceed the corresponding frequency threshold, marking the corresponding preset unqualified temperature value as a selected unqualified temperature value;
and screening the preset operating temperature range according to the corresponding selected qualified temperature value and selected unqualified temperature value of the analysis object, and marking the screened preset operating temperature range as the selected operating temperature range.
As a preferred embodiment of the present invention, the analysis object is subjected to real-time environmental monitoring, a ratio of a frequency of a peripheral environment temperature within an operation temperature range to a frequency of the peripheral environment temperature not within the operation temperature range in an operation process of the analysis object and a number of times corresponding to the peripheral environment temperature not within the operation temperature range are collected, and the ratio of the frequency of the peripheral environment temperature within the operation temperature range to the frequency of the peripheral environment temperature not within the operation temperature range in the operation process of the analysis object and the number of times corresponding to the peripheral environment temperature not within the operation temperature range are respectively compared with a frequency ratio threshold and a number threshold:
If the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range exceeds a frequency ratio threshold value and the frequency of the ambient temperature not in the operating temperature range does not exceed a frequency threshold value in the operating process of the analysis object, judging that the real-time environment monitoring of the corresponding analysis object is qualified, generating an environment monitoring qualified signal and sending the environment monitoring qualified signal to a server; if the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range does not exceed the frequency ratio threshold value or the frequency of the ambient temperature not in the operating temperature range corresponding to the object to be analyzed exceeds the frequency threshold value, determining that the real-time environmental monitoring corresponding to the object to be analyzed is unqualified, generating an unqualified environmental monitoring signal and sending the unqualified environmental monitoring signal to the server; and after receiving the unqualified environment monitoring signal, the server controls the environment temperature of the corresponding analysis object in the operation process, and controls the temperature value within the operation temperature range.
As a preferred embodiment of the present invention, the operation process of the operation state analysis unit is as follows:
Acquiring the temperature rise speed of an analysis object in the operation process and the local discharge amount in the operation process, and respectively marking the temperature rise speed of the analysis object in the operation process and the local discharge amount in the operation process as WSi and JFi; acquiring a hourly transmission electric quantity floating value of an analysis object in the operation process, and marking the hourly transmission electric quantity floating value of the analysis object in the operation process as FDi;
by the formula
Acquiring a real-time running state analysis coefficient Xi of an analysis object, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 1.36;
comparing the real-time running state analysis coefficient Xi of the analysis object with a real-time running state analysis coefficient threshold value: if the real-time running state analysis coefficient Xi of the analysis object exceeds the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is unqualified, generating a state analysis abnormal signal and sending the state analysis abnormal signal to a server; and if the real-time running state analysis coefficient Xi of the analysis object does not exceed the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is qualified, generating a state analysis normal signal and sending the state analysis normal signal to the server.
As a preferred embodiment of the present invention, the operation of the operation intensity analyzing unit is as follows:
acquiring the ratio of the continuous operation time length and the stop and pause time length of an analysis object and the average power distribution quantity of the corresponding analysis object in the operation process, and comparing the ratio of the continuous operation time length and the stop and pause time length of the analysis object and the average power distribution quantity of the corresponding analysis object in the operation process with a time ratio threshold and a power distribution quantity threshold respectively:
if the ratio of the continuous operation time length of the analysis object to the stop and pause time length exceeds a time length ratio threshold value and the average power distribution amount of the corresponding analysis object in the operation process does not exceed a power distribution amount threshold value, marking the operation intensity of the corresponding analysis object as low-intensity operation, generating a low-intensity operation signal and sending the low-intensity operation signal and the number of the corresponding analysis object to a server; if the ratio of the continuous operation time length to the stop and pause time length of the analysis object does not exceed the time length ratio threshold value, or the average distribution volume of the corresponding analysis object in the operation process exceeds the distribution volume threshold value, marking the operation intensity of the corresponding analysis object as high-intensity operation, generating a high-intensity operation signal, and sending the high-intensity operation signal and the number of the corresponding analysis object to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, whether the operation of the electric control cabinet is influenced by the environment is judged through real-time environment monitoring, so that the working efficiency of the electric control cabinet is improved, and meanwhile, the real-time operation of the electric control cabinet is monitored so as to be capable of performing timely rectification on the electric control cabinet, so that the control efficiency of the electric control cabinet is improved; whether the real-time running state of the analysis object is qualified or not is judged, so that real-time accurate control is carried out on the real-time running efficiency of the corresponding analysis object, the working efficiency of the analysis object is favorably ensured, and meanwhile, the analysis object is prevented from being incapable of being maintained in time when the running state is abnormal, the running efficiency of the analysis object is reduced, abnormal running of analysis object equipment is caused, and the service life of the equipment is shortened; whether the real-time operation intensity of the analysis object is normal or not is judged, so that the operation of the analysis object is controlled, the reduction of the working efficiency of the analysis object caused by the overlarge operation intensity is prevented, and the service life of the equipment is shortened.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of an intelligent control system for an electric control cabinet based on data analysis according to the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent control system for an electric control cabinet based on data analysis includes a server, and the server is in communication connection with an operation intensity analyzing unit, a real-time environment monitoring unit and an operation state analyzing unit, wherein the server is in bidirectional communication connection with the operation intensity analyzing unit, the real-time environment monitoring unit and the operation state analyzing unit;
the method comprises the steps that a server manages and controls electric control cabinets which are put into use, marks corresponding electric control cabinets as analysis objects, sets a mark i, wherein the i is a natural number larger than 1, generates real-time environment monitoring signals and sends the real-time environment monitoring signals to a real-time environment monitoring unit, the real-time environment monitoring unit monitors real-time operation environments of the corresponding analysis objects after receiving the real-time environment monitoring signals, and judges whether the operation of the electric control cabinets is influenced by the environment or not through real-time environment monitoring, so that the working efficiency of the electric control cabinets is improved, meanwhile, the real-time operation of the electric control cabinets is monitored so that the electric control cabinets can be immediately leveled, and the management and control efficiency of the electric control cabinets is improved;
Carrying out environmental monitoring on an analysis object to obtain a historical operation time period of the analysis object, and acquiring qualified operation time and non-qualified operation time of the analysis object in the historical operation time period, wherein the qualified operation time is different from the non-qualified operation time in that whether the analysis object has a fault or not; acquiring an operation temperature range of an analysis object according to a historical operation time period of the analysis object, marking the operation temperature range as a preset operation temperature range, marking an operation temperature at a qualified operation time as a preset qualified temperature value, and marking an operation temperature at an unqualified operation time as a preset unqualified temperature value;
analyzing the preset qualified temperature value, and if the times of the corresponding unqualified operation time to the preset qualified temperature value do not exceed the corresponding times threshold value, marking the corresponding preset qualified temperature value as a selected qualified temperature value; if the times of the non-qualified operation time corresponding to the preset qualified temperature value exceed the corresponding times threshold value, marking the corresponding preset qualified temperature value as a selected non-qualified temperature value;
analyzing the preset unqualified temperature value, and if the frequency of the corresponding preset unqualified temperature value at the qualified running time exceeds the corresponding frequency threshold value, marking the corresponding preset unqualified temperature value as a selected qualified temperature value; if the frequency of the corresponding preset unqualified temperature value at the qualified operation moment does not exceed the corresponding frequency threshold, marking the corresponding preset unqualified temperature value as a selected unqualified temperature value;
Screening a preset operation temperature range according to a corresponding selected qualified temperature value and a selected unqualified temperature value of the analysis object, and marking the screened preset operation temperature range as a selected operation temperature range;
carrying out real-time environmental monitoring on an analysis object, acquiring the ratio of the frequency of which the ambient temperature is in the operating temperature range to the frequency of which the ambient temperature is not in the operating temperature range in the operation process of the analysis object and the frequency of which the corresponding ambient temperature is not in the operating temperature range, and respectively comparing the ratio of the frequency of which the ambient temperature is in the operating temperature range to the frequency of which the ambient temperature is not in the operating temperature range in the operation process of the analysis object and the frequency of which the corresponding ambient temperature is not in the operating temperature range with a frequency ratio threshold and a frequency threshold:
if the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range exceeds a frequency ratio threshold value and the frequency of the ambient temperature not in the operating temperature range does not exceed a frequency threshold value in the operating process of the analysis object, judging that the real-time environment monitoring of the corresponding analysis object is qualified, generating an environment monitoring qualified signal and sending the environment monitoring qualified signal to a server; if the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range does not exceed the frequency ratio threshold value or the frequency of the ambient temperature not in the operating temperature range exceeds the frequency threshold value in the operating process of the analysis object, judging that the real-time environment monitoring corresponding to the analysis object is unqualified, generating an unqualified environment monitoring signal and sending the unqualified environment monitoring signal to a server; after receiving an unqualified environment monitoring signal, the server controls the environment temperature of a corresponding analysis object in an operation process, and controls the temperature value within an operation temperature range;
The server generates an operation state analysis signal and sends the operation state analysis signal to the operation state analysis unit, and the operation state analysis unit analyzes the real-time operation state of a corresponding analysis object after receiving the operation state analysis signal, and judges whether the real-time operation state of the analysis object is qualified or not, so that the real-time operation efficiency of the corresponding analysis object is accurately controlled in real time, the work efficiency of the analysis object is ensured, and meanwhile, the analysis object is prevented from being incapable of being maintained in time when the operation state is abnormal, the operation efficiency of the analysis object is reduced, and the abnormal operation of analysis object equipment is caused, and the service life of the equipment is shortened;
acquiring the temperature rise speed of an analysis object in the operation process and the local discharge amount in the operation process, and respectively marking the temperature rise speed of the analysis object in the operation process and the local discharge amount in the operation process as WSi and JFi; acquiring a hourly transmission electric quantity floating value of an analysis object in the operation process, and marking the hourly transmission electric quantity floating value of the analysis object in the operation process as FDi;
by the formula
Acquiring a real-time running state analysis coefficient Xi of an analysis object, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 1.36;
Comparing the real-time running state analysis coefficient Xi of the analysis object with a real-time running state analysis coefficient threshold value:
if the real-time running state analysis coefficient Xi of the analysis object exceeds the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is unqualified, generating a state analysis abnormal signal and sending the state analysis abnormal signal to a server; after receiving the state analysis abnormal signal, the server performs shutdown maintenance on a corresponding analysis object;
if the real-time running state analysis coefficient Xi of the analysis object does not exceed the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is qualified, generating a state analysis normal signal and sending the state analysis normal signal to a server;
the server generates an operation intensity analysis signal and sends the operation intensity analysis signal to the operation intensity analysis unit, and the operation intensity analysis unit analyzes the operation intensity of the corresponding analysis object after receiving the operation intensity analysis signal and judges whether the real-time operation intensity of the analysis object is normal or not, so that the operation of the analysis object is controlled, the reduction of the work efficiency of the analysis object and the reduction of the service life of equipment caused by the overlarge operation intensity are prevented;
Acquiring the ratio of the continuous operation time length and the stop and pause time length of an analysis object and the average power distribution quantity of the corresponding analysis object in the operation process, and comparing the ratio of the continuous operation time length and the stop and pause time length of the analysis object and the average power distribution quantity of the corresponding analysis object in the operation process with a time ratio threshold and a power distribution quantity threshold respectively:
if the ratio of the continuous operation time length of the analysis object to the stop and pause time length exceeds a time length ratio threshold value and the average power distribution amount of the corresponding analysis object in the operation process does not exceed a power distribution amount threshold value, marking the operation intensity of the corresponding analysis object as low-intensity operation, generating a low-intensity operation signal and sending the low-intensity operation signal and the number of the corresponding analysis object to a server; if the ratio of the continuous operation time length of the analysis object to the stop and pause time length does not exceed the time length ratio threshold value, or the average distribution quantity of the corresponding analysis object in the operation process exceeds the distribution quantity threshold value, marking the operation intensity of the corresponding analysis object as high-intensity operation, generating a high-intensity operation signal and sending the high-intensity operation signal and the number of the corresponding analysis object to a server;
And after receiving the high-intensity operating signals and the low-intensity operating signals, the server performs shutdown adjustment on the analysis object of the high-intensity operating signals, and takes the analysis object corresponding to the low-intensity operating signals as the substitute equipment.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the real-time environment monitoring system is used, the server generates a real-time environment monitoring signal and sends the real-time environment monitoring signal to the real-time environment monitoring unit, the real-time environment monitoring unit monitors the real-time operation environment corresponding to an analysis object after receiving the real-time environment monitoring signal, and whether the operation of the electric control cabinet is influenced by the environment is judged through real-time environment monitoring; generating an environment monitoring qualified signal or an environment monitoring unqualified signal through real-time operation environment monitoring, and sending the environment monitoring qualified signal or the environment monitoring unqualified signal to a server; the server generates an operation state analysis signal and sends the operation state analysis signal to the operation state analysis unit, and the operation state analysis unit analyzes the real-time operation state of the corresponding analysis object after receiving the operation state analysis signal and judges whether the real-time operation state of the analysis object is qualified or not; generating a state analysis abnormal signal and a state analysis normal signal through real-time running state analysis, and sending the state analysis abnormal signal and the state analysis normal signal to a server; the server generates an operation intensity analysis signal and sends the operation intensity analysis signal to the operation intensity analysis unit, the operation intensity analysis unit receives the operation intensity analysis signal and then analyzes the operation intensity of a corresponding analysis object to judge whether the real-time operation intensity of the analysis object is normal or not, the operation intensity of the analysis object is divided into a low-intensity operation signal and a high-intensity operation signal through the operation intensity analysis, and the low-intensity operation signal and the high-intensity operation signal are generated and sent to the server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An electric control cabinet intelligent control system based on data analysis is characterized by comprising a server, wherein the server is in communication connection with an operation intensity analysis unit, a real-time environment monitoring unit and an operation state analysis unit;
the server manages and controls the electric control cabinets which are put into use, and marks the corresponding electric control cabinets as analysis objects; meanwhile, a real-time environment monitoring signal is generated and sent to the real-time environment monitoring unit, after the real-time environment monitoring signal is received by the real-time environment monitoring unit, the real-time running environment corresponding to an analysis object is monitored, and whether the running of the electric control cabinet is influenced by the environment or not is judged through real-time environment monitoring; generating an environment monitoring qualified signal or an environment monitoring unqualified signal through real-time operation environment monitoring, and sending the environment monitoring qualified signal or the environment monitoring unqualified signal to a server;
The server generates an operation state analysis signal and sends the operation state analysis signal to the operation state analysis unit, and the operation state analysis unit analyzes the real-time operation state of the corresponding analysis object after receiving the operation state analysis signal and judges whether the real-time operation state of the analysis object is qualified or not; generating a state analysis abnormal signal and a state analysis normal signal through real-time running state analysis, and sending the state analysis abnormal signal and the state analysis normal signal to a server;
the server generates an operation intensity analysis signal and sends the operation intensity analysis signal to the operation intensity analysis unit, the operation intensity analysis unit receives the operation intensity analysis signal and then analyzes the operation intensity of a corresponding analysis object to judge whether the real-time operation intensity of the analysis object is normal or not, the operation intensity of the analysis object is divided into a low-intensity operation signal and a high-intensity operation signal through the operation intensity analysis, and the low-intensity operation signal and the high-intensity operation signal are generated and sent to the server.
2. The intelligent electric control cabinet management and control system based on data analysis according to claim 1, wherein the real-time environment monitoring unit is operated as follows:
carrying out environmental monitoring on an analysis object to obtain a historical operation time period of the analysis object, and acquiring qualified operation time and non-qualified operation time of the analysis object in the historical operation time period, wherein the qualified operation time and the non-qualified operation time are different in whether the analysis object has a fault or not; acquiring an operation temperature range of an analysis object according to a historical operation time period of the analysis object, marking the operation temperature range as a preset operation temperature range, then marking the operation temperature at a qualified operation time as a preset qualified temperature value, and marking the operation temperature at an unqualified operation time as a preset unqualified temperature value;
Analyzing the preset qualified temperature value, and marking the corresponding preset qualified temperature value as a selected qualified temperature value if the times of the corresponding preset qualified temperature value at the non-qualified operation moment do not exceed the corresponding times threshold value; if the times of the corresponding preset qualified temperature values at the non-qualified operation time exceed the corresponding times threshold, marking the corresponding preset qualified temperature values as selected non-qualified temperature values;
analyzing the preset unqualified temperature value, and if the frequency of the corresponding preset unqualified temperature value at the qualified operation time exceeds the corresponding frequency threshold value, marking the corresponding preset unqualified temperature value as a selected qualified temperature value; if the frequency of the preset unqualified temperature value corresponding to the qualified operation moment does not exceed the corresponding frequency threshold value, marking the corresponding preset unqualified temperature value as a selected unqualified temperature value;
and screening the preset operation temperature range according to the corresponding selected qualified temperature value and the selected unqualified temperature value of the analysis object, and marking the screened preset operation temperature range as the selected operation temperature range.
3. The intelligent electric control cabinet management and control system based on data analysis according to claim 2, characterized in that the analysis object is subjected to real-time environmental monitoring, the ratio of the frequency of the ambient temperature within the operating temperature range to the frequency of the ambient temperature not within the operating temperature range in the operation process of the analysis object and the number of times corresponding to the ambient temperature not within the operating temperature range are collected, and the ratio of the frequency of the ambient temperature within the operating temperature range to the frequency of the ambient temperature not within the operating temperature range in the operation process of the analysis object and the number of times corresponding to the ambient temperature not within the operating temperature range are respectively compared with the frequency ratio threshold and the number threshold:
If the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range exceeds a frequency ratio threshold value and the frequency of the ambient temperature not in the operating temperature range does not exceed a frequency threshold value in the operating process of the analysis object, judging that the real-time environment monitoring of the corresponding analysis object is qualified, generating an environment monitoring qualified signal and sending the environment monitoring qualified signal to a server; if the ratio of the frequency of the ambient temperature in the operating temperature range to the frequency of the ambient temperature not in the operating temperature range does not exceed the frequency ratio threshold value or the frequency of the ambient temperature not in the operating temperature range corresponding to the object to be analyzed exceeds the frequency threshold value, determining that the real-time environmental monitoring corresponding to the object to be analyzed is unqualified, generating an unqualified environmental monitoring signal and sending the unqualified environmental monitoring signal to the server; and after receiving the unqualified environment monitoring signal, the server controls the environment temperature of the corresponding analysis object in the operation process, and controls the temperature value within the operation temperature range.
4. The intelligent electric control cabinet management and control system based on data analysis according to claim 1, wherein the operation process of the operation state analysis unit is as follows:
Acquiring the temperature rise speed of an analysis object in the operation process and the local discharge amount in the operation process, and respectively marking the temperature rise speed of the analysis object in the operation process and the local discharge amount in the operation process as WSi and JFi; acquiring a hourly transmission electric quantity floating value of an analysis object in the operation process, and marking the hourly transmission electric quantity floating value of the analysis object in the operation process as FDi;
by the formula
Acquiring a real-time running state analysis coefficient Xi of an analysis object, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and is 1.36;
comparing the real-time running state analysis coefficient Xi of the analysis object with a real-time running state analysis coefficient threshold value: if the real-time running state analysis coefficient Xi of the analysis object exceeds the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is unqualified, generating a state analysis abnormal signal and sending the state analysis abnormal signal to a server; and if the real-time running state analysis coefficient Xi of the analysis object does not exceed the real-time running state analysis coefficient threshold, judging that the real-time running state analysis of the corresponding analysis object is qualified, generating a state analysis normal signal and sending the state analysis normal signal to the server.
5. The intelligent electric control cabinet management and control system based on data analysis according to claim 1, wherein the operation process of the operation intensity analysis unit is as follows:
acquiring the ratio of the continuous operation time length and the shutdown and pause time length of an analysis object and the average distribution amount of the corresponding analysis object in the operation process, and comparing the ratio of the continuous operation time length and the shutdown and pause time length of the analysis object and the average distribution amount of the corresponding analysis object in the operation process with a time length ratio threshold and a distribution amount threshold respectively:
if the ratio of the continuous operation time length of the analysis object to the stop and pause time length exceeds a time length ratio threshold value and the average distribution quantity of the corresponding analysis object in the operation process does not exceed a distribution quantity threshold value, marking the operation intensity of the corresponding analysis object as low-intensity operation, generating a low-intensity operation signal and sending the low-intensity operation signal and the number of the corresponding analysis object to a server; if the ratio of the continuous operation time length of the analysis object to the stop and pause time length does not exceed the time length ratio threshold value, or the average distribution quantity of the corresponding analysis object in the operation process exceeds the distribution quantity threshold value, marking the operation intensity of the corresponding analysis object as high-intensity operation, generating a high-intensity operation signal and sending the high-intensity operation signal and the number of the corresponding analysis object to the server.
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| CN202210550077.0A Pending CN114755960A (en) | 2022-05-20 | 2022-05-20 | Automatically controlled cabinet intelligence management and control system based on data analysis |
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