CN117728580B - Visual intelligent terminal for electricity consumption monitoring and safety supervision - Google Patents
Visual intelligent terminal for electricity consumption monitoring and safety supervision Download PDFInfo
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- CN117728580B CN117728580B CN202311775390.5A CN202311775390A CN117728580B CN 117728580 B CN117728580 B CN 117728580B CN 202311775390 A CN202311775390 A CN 202311775390A CN 117728580 B CN117728580 B CN 117728580B
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- 230000000007 visual effect Effects 0.000 title claims abstract description 14
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- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 26
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Abstract
The invention relates to the technical field of electricity safety, in particular to an electricity monitoring and safety supervision visual intelligent terminal, which comprises: the data acquisition module is used for acquiring the temperature inside the transformer and generating a temperature change curve; the data judging module is used for calculating a temperature difference value, and marking the temperature difference value as pending data when the temperature difference value is larger than a preset threshold value; judging whether the data is abnormal data or not according to the duration time of the undetermined data; the abnormality analysis module is used for fitting the temperature change curve through a primary function when abnormal data exist, and predicting the time t required by the internal temperature of the transformer to reach the maximum working temperature according to the maximum working temperature of the transformer; and the abnormality processing module determines the grades according to the time t and a preset time threshold value and executes different steps on different grades. The invention can periodically monitor the temperature inside the transformer and reduce the probability of safety accidents caused by overhigh temperature inside the transformer.
Description
Technical Field
The invention relates to the technical field of electricity safety, in particular to an electricity monitoring and safety supervision visual intelligent terminal.
Background
In the prior art, in order to prevent safety accidents caused by overhigh internal temperature of a transformer, such as fire and the like, the internal temperature rise of the transformer is monitored, and the following methods are common: thermal relay method: when the internal temperature of the transformer rises to a certain degree, the thermal relay cuts off the power supply of the transformer so as to protect the transformer from being damaged by overheat; temperature sensor method: the temperature measurement is carried out by using the linear optical temperature sensor by utilizing the optical principle, the temperature can be measured rapidly and with high precision under the condition of not contacting with the measured object, and when the temperature reaches the preset threshold value, the early warning information is sent and the power supply of the transformer is cut off.
However, in actual situations, the two methods can only perform corresponding operations according to a preset safety threshold, periodic monitoring cannot be performed, and when the current of the transformer is cut off according to the preset safety threshold, the situation that the heat in the transformer cannot be dissipated in time may exist, and at this time, the temperature in the transformer is still at a higher level, and safety accidents may still occur. Based on the method, the visual intelligent terminal for electricity consumption monitoring and safety supervision is provided, and the probability of safety accidents caused by overhigh temperature inside the transformer is reduced.
Disclosure of Invention
The invention aims to provide a visual intelligent terminal for electricity consumption monitoring and safety supervision, which solves the technical problems.
The aim of the invention can be achieved by the following technical scheme:
Visual intelligent terminal of power consumption control and safety supervision includes: the data acquisition module acquires the temperature inside the transformer according to a fixed time interval a, generates a curve of temperature change along with time, and defines the curve as a temperature change curve;
The data judging module is used for acquiring the temperature T i at the current time and the temperature T i-1 at the adjacent last time, calculating a temperature difference value of fatter=T i-Ti-1, and marking the current temperature as pending data when the temperature difference value is larger than a preset threshold value;
acquiring the duration time of the undetermined data, and judging the undetermined data as abnormal data when the duration time of the undetermined data is larger than a preset threshold value b, wherein b is an integer multiple of a;
The anomaly analysis module is used for fitting the temperature change curve when anomaly data exist, and the specific fitting process comprises the following steps:
Step one: fitting by using a linear function, and selecting a plurality of points on a temperature change curve at fixed time intervals a, wherein the first point is a point when the time i is the time, and the last point is a point when the time i+b is the time;
step two: the linear function fitting formula is t=kx+c, wherein T represents temperature and x represents time;
Step three: calculating k and c by the existing formula;
Obtaining the maximum working temperature T max in the transformer, and bringing T max into the fitted function to obtain the time T required when the internal temperature of the transformer reaches T max;
the exception handling module is used for grading according to the time t, and the specific grading operation process comprises the following steps:
When t < t1, defining as a first stage, and executing the following steps:
Sending early warning information to a pre-added responsible person, wherein t1 is a preset threshold;
when t is greater than or equal to t1, defining as a second stage, and executing the following steps:
Adjusting the power of air cooling equipment to be the maximum power P max, and acquiring the temperature within t epsilon (t 2-t)/2 at a fixed time interval a to generate a reference temperature array, wherein t2 is a preset time threshold;
When the reference temperature array monotonically increases, sending early warning information to a pre-added responsible person;
When the reference temperature number is monotonically decreased, sending a report to a pre-added responsible person;
when the monotonicity of the reference temperature array does not exist, acquiring a first term and a last term of the reference temperature array, and when the last term is greater than or equal to the first term, sending early warning information to a pre-added responsible person; and when the existence of the final item is smaller than the first item, sending a report to a pre-added responsible person.
As a further scheme of the invention: the process of obtaining the temperature inside the transformer comprises the following steps:
A plurality of temperature sensors are arranged in the transformer, the temperature value of each temperature sensor is read according to a fixed time interval a, the average value of the temperature values is calculated, and the average value is used as the temperature in the transformer.
As a further scheme of the invention: in the data judging module, when the undetermined data does not exist in the preset time span f, the following steps are executed:
acquiring the acquired temperature in a preset time span f, sequencing the temperature according to a time axis sequence, and calculating a pending temperature difference value (T i'=|Tf1-Tfi I), wherein Tf 1 represents the temperature of the first bit in the sequence, and Tf 1 T represents the temperature of the ith bit in the sequence;
and marking Tf i as pending data when the pending temperature difference is greater than or equal to a preset threshold value, and carrying out subsequent steps.
As a further scheme of the invention: and when the undetermined data does not exist in the preset time span f and the undetermined temperature difference value is smaller than the preset threshold value, not processing.
As a further scheme of the invention: in the process of judging whether the data to be determined is abnormal data, when the temperature in the transformer reaches T max -T 'and the duration time still does not reach the preset threshold value b, judging the data to be the abnormal data, and carrying out the subsequent steps, wherein T' is a preset temperature deviation value.
As a further scheme of the invention: in the data judging module, when the temperature difference T is larger than a preset threshold, judging the temperature difference T as abnormal data, taking two points of T i and T i-1 T as points of a fitting function curve in the fitting process, and carrying out subsequent steps.
As a further scheme of the invention: in the process of adjusting the power of the air cooling equipment, when the power of the air cooling equipment before adjustment is the maximum power P max, early warning information is sent to a pre-added responsible person.
As a further scheme of the invention: the process of adding the responsible person comprises the following steps:
establishing a database, acquiring identity information of emergency responsible persons to be added, wherein the identity information comprises a name and a real-name authenticated mobile phone number, and storing the identity information in the database
The invention has the beneficial effects that: in the invention, firstly, the temperature inside the transformer is obtained, and a temperature change curve is generated, which is the basis of subsequent calculation and processing; then, calculating the difference value of adjacent temperatures, when the temperature difference value is larger than a preset threshold value, judging that the data is to be determined, and the reasons of temperature rise in the transformer are more, for example, loop current is larger due to lower power factor, and heating is caused when the current exceeds the rated current capacity of the transformer; judging whether the data is abnormal data or not according to the duration time of the undetermined data; when abnormal data exist, fitting a section of a temperature change curve through a primary function, and predicting the time required for the temperature in the transformer to reach the maximum working temperature by combining the maximum working temperature in the transformer, wherein in the actual situation, the temperature under the abnormal condition is gradually increased along with the increase of the time, so that fitting is performed in a function mode; and classifying the predicted time according to the predicted time and combining with a preset time threshold, wherein different levels correspond to different processing modes, including sending early warning list information to a responsible person and sending a report to the responsible person. The invention can periodically monitor the temperature inside the transformer and reduce the probability of safety accidents caused by overhigh temperature inside the transformer.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of the visualized intelligent terminal for electricity consumption monitoring and safety supervision.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a visual intelligent terminal for monitoring electricity consumption and safety supervision, comprising:
The data acquisition module acquires the temperature inside the transformer according to a fixed time interval a, generates a curve of temperature change along with time, and defines the curve as a temperature change curve;
The data judging module is used for acquiring the temperature T i at the current time and the temperature T i-1 at the adjacent last time, calculating a temperature difference value of fatter=T i-Ti-1, and marking the current temperature as pending data when the temperature difference value is larger than a preset threshold value;
acquiring the duration time of the undetermined data, and judging the undetermined data as abnormal data when the duration time of the undetermined data is larger than a preset threshold value b, wherein b is an integer multiple of a;
The anomaly analysis module is used for fitting the temperature change curve when anomaly data exist, and the specific fitting process comprises the following steps:
Step one: fitting by using a linear function, and selecting a plurality of points on a temperature change curve at fixed time intervals a, wherein the first point is a point when the time i is the time, and the last point is a point when the time i+b is the time;
step two: the linear function fitting formula is t=kx+c, wherein T represents temperature and x represents time;
Step three: calculating k and c by the existing formula;
Obtaining the maximum working temperature T max in the transformer, and bringing T max into the fitted function to obtain the time T required when the internal temperature of the transformer reaches T max;
the exception handling module is used for grading according to the time t, and the specific grading operation process comprises the following steps:
When t < t1, defining as a first stage, and executing the following steps:
Sending early warning information to a pre-added responsible person, wherein t1 is a preset threshold;
when t is greater than or equal to t1, defining as a second stage, and executing the following steps:
Adjusting the power of air cooling equipment to be the maximum power P max, and acquiring the temperature within t epsilon (t 2-t)/2 at a fixed time interval a to generate a reference temperature array, wherein t2 is a preset time threshold;
When the reference temperature array monotonically increases, sending early warning information to a pre-added responsible person;
When the reference temperature number is monotonically decreased, sending a report to a pre-added responsible person;
when the monotonicity of the reference temperature array does not exist, acquiring a first term and a last term of the reference temperature array, and when the last term is greater than or equal to the first term, sending early warning information to a pre-added responsible person; and when the existence of the final item is smaller than the first item, sending a report to a pre-added responsible person.
It should be noted that, firstly, the temperature inside the transformer is obtained, and a temperature change curve is generated, which is the basis of subsequent calculation and processing; then, calculating the difference value of adjacent temperatures, when the temperature difference value is larger than a preset threshold value, judging that the data is to be determined, and the reasons of temperature rise in the transformer are more, for example, the current is larger due to lower power factor, and when the current exceeds the rated current capacity of the transformer, the heating problem is caused; judging whether the data is abnormal data or not according to the duration time of the undetermined data; when abnormal data exist, fitting a section of a temperature change curve through a primary function, and predicting the time required for the temperature in the transformer to reach the maximum working temperature by combining the maximum working temperature in the transformer, wherein in the actual situation, the temperature under the abnormal condition is gradually increased along with the increase of the time, so that fitting is performed in a function mode; and classifying the predicted time according to the predicted time and combining with a preset time threshold, wherein different levels correspond to different processing modes, including sending early warning information to a responsible person and sending a report to the responsible person. The invention can periodically monitor the temperature inside the transformer and reduce the probability of safety accidents caused by overhigh temperature inside the transformer.
In another preferred embodiment of the present invention, the process of obtaining the temperature inside the transformer includes:
A plurality of temperature sensors are arranged in the transformer, the temperature value of each temperature sensor is read according to a fixed time interval a, the average value of the temperature values is calculated, and the average value is used as the temperature in the transformer.
It should be noted that the temperature inside the transformer is not necessarily equal everywhere, because the components such as the cables inside the transformer affect the air flow.
In another preferred embodiment of the present invention, the data determination module performs the following steps when there is no pending data within a preset time span f:
acquiring the acquired temperature in a preset time span f, sequencing the temperature according to a time axis sequence, and calculating a pending temperature difference value (T i'=|Tf1-Tfi I), wherein Tf 1 represents the temperature of the first bit in the sequence, and Tf 1 T represents the temperature of the ith bit in the sequence;
and marking Tf i as pending data when the pending temperature difference is greater than or equal to a preset threshold value, and carrying out subsequent steps.
It will be appreciated that at this point it is stated that the temperature within the transformer is slowly increasing, although not rapidly, but may still rise to a high degree, easily causing a safety hazard.
In a further preferred embodiment of the invention, no processing is performed when there is no pending data within the predetermined time span f and the pending temperature difference is less than the predetermined threshold.
In another preferred implementation of the present invention, in the process of determining whether the pending data is abnormal data, when the temperature inside the transformer reaches T max -T 'and the duration time still does not reach the preset threshold b, it is determined as abnormal data, and a subsequent step is performed, where T' is a preset temperature deviation value.
It should be noted that in this case, it is stated that the temperature has reached a dangerous level, and if the determination is made while the duration reaches the preset threshold b, the internal temperature of the transformer may be too high, resulting in a safety accident.
In another preferred embodiment of the present invention, the data determining module determines that the temperature difference father T is abnormal data when the temperature difference father T is greater than a preset threshold, and uses two points of T i and T i-1 T as points of a fitting function curve in the fitting process, and performs the subsequent steps.
In this case, since the temperature inside the transformer increases rapidly and changes greatly, it is determined as abnormal data and the subsequent steps are performed.
In another preferred implementation of the present invention, in the process of adjusting the power of the air-cooling device, when the power of the air-cooling device before adjustment is the maximum power P max, early warning information is sent to a pre-added responsible person.
It can be understood that in a practical situation, when the power of the air cooling device is the maximum power P max before adjustment, it is indicated that the purpose of reducing the internal temperature of the transformer cannot be achieved by adjusting the power of the air cooling device any more, so that the pre-added responsible person is selected to send the early warning information.
In another preferred implementation of the present invention, the process of adding the responsible person includes:
a database is established, the identity information of the emergency responsible person to be added is obtained, and the identity information comprises the name and the real-name authenticated mobile phone number and is stored in the database.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. Visual intelligent terminal of power consumption control and safety supervision, its characterized in that includes:
The data acquisition module acquires the temperature inside the transformer according to a fixed time interval a, generates a curve of temperature change along with time, and defines the curve as a temperature change curve;
The data judging module is used for acquiring the temperature T i at the current time and the temperature T i-1 at the adjacent last time, calculating a temperature difference value of father T=T i-Ti-1, and marking the current temperature as pending data when the temperature difference value is larger than a first preset threshold value;
when the undetermined data does not exist in the preset time span f, the following steps are executed:
Acquiring the acquired temperature in a preset time span f, sequencing the temperature according to a time axis sequence, and calculating a pending temperature difference value (T i'=|Tf1-Tfi I), wherein Tf 1 represents the temperature of the first bit in the sequence, and Tf i represents the temperature of the ith bit in the sequence;
When the undetermined temperature difference value is larger than a first preset threshold value, marking Tf i as undetermined data, and carrying out subsequent steps;
acquiring the duration time of the undetermined data, and judging the undetermined data as abnormal data when the duration time of the undetermined data is larger than a preset threshold value b, wherein b is an integer multiple of a;
The anomaly analysis module is used for fitting the temperature change curve when anomaly data exist, and the specific fitting process comprises the following steps:
Step one: fitting by using a linear function, and selecting a plurality of points on a temperature change curve at fixed time intervals a, wherein the first point is a point when the time is i, and the last point is a point when the time is i+b;
step two: the linear function fitting formula is t=kx+c, wherein T represents temperature and x represents time;
Step three: calculating k and c;
Obtaining the maximum working temperature T max in the transformer, and bringing T max into the fitted function to obtain the time T required when the internal temperature of the transformer reaches T max;
the exception handling module is used for grading according to the time t, and the specific grading operation process comprises the following steps:
When t < t1, defining as a first stage, and executing the following steps:
Sending early warning information to a pre-added responsible person, wherein t1 is a preset threshold;
when t is greater than or equal to t1, defining as a second stage, and executing the following steps:
Adjusting the power of air cooling equipment to be the maximum power P max, and acquiring the temperature within t epsilon (t 2-t)/2 at a fixed time interval a to generate a reference temperature array, wherein t2 is a preset time threshold;
When the reference temperature array monotonically increases, sending early warning information to a pre-added responsible person;
When the reference temperature number is monotonically decreased, sending a report to a pre-added responsible person;
when the monotonicity of the reference temperature array does not exist, acquiring a first term and a last term of the reference temperature array, and when the last term is greater than or equal to the first term, sending early warning information to a pre-added responsible person; and when the existence of the final item is smaller than the first item, sending a report to a pre-added responsible person.
2. The visual intelligent terminal for electricity consumption monitoring and safety supervision according to claim 1, wherein the process of obtaining the temperature inside the transformer comprises the following steps:
A plurality of temperature sensors are arranged in the transformer, the temperature value of each temperature sensor is read according to a fixed time interval a, the average value of the temperature values is calculated, and the average value is used as the temperature in the transformer.
3. The visual intelligent terminal for power consumption monitoring and safety supervision according to claim 1, wherein when the undetermined data is not present within the preset time span f and the undetermined temperature difference is smaller than the first preset threshold, no processing is performed.
4. The visual intelligent terminal for electricity consumption monitoring and safety supervision according to claim 1, wherein in the process of determining whether the pending data is abnormal data, when the temperature inside the transformer reaches T max -T 'and the duration time still does not reach the preset threshold b, determining the pending data as abnormal data, and performing the subsequent steps, wherein T' is a preset temperature deviation value.
5. The visualized intelligent terminal for electricity consumption monitoring and safety supervision according to claim 1, wherein in the data determination module, when the temperature difference value T is greater than a second preset threshold, the temperature difference value T is determined to be abnormal data, the second preset threshold is greater than a first preset threshold, and in the fitting process, two points of T i and T i-1 are used as points of a fitting function curve, and the subsequent steps are performed.
6. The visual intelligent terminal for electricity consumption monitoring and safety supervision according to claim 1, wherein in the process of adjusting the power of the air cooling device, when the power of the air cooling device before adjustment is the maximum power P max, early warning information is sent to a pre-added responsible person.
7. The visual intelligent terminal for electricity consumption monitoring and safety supervision according to claim 1, wherein the process of adding the responsible person comprises:
a database is established, the identity information of the emergency responsible person to be added is obtained, and the identity information comprises the name and the real-name authenticated mobile phone number and is stored in the database.
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| CN202311775390.5A CN117728580B (en) | 2023-12-22 | 2023-12-22 | Visual intelligent terminal for electricity consumption monitoring and safety supervision |
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| CN202311775390.5A CN117728580B (en) | 2023-12-22 | 2023-12-22 | Visual intelligent terminal for electricity consumption monitoring and safety supervision |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113050523A (en) * | 2021-04-06 | 2021-06-29 | 广州中超合能科技有限公司 | Electric power monitoring system based on big data fusion model |
| CN115952700A (en) * | 2023-03-15 | 2023-04-11 | 江西飞尚科技有限公司 | Temperature-associated data compensation method, system, computer and storage medium |
| CN116505663A (en) * | 2023-06-28 | 2023-07-28 | 佛山市华易科技有限公司 | Farm power consumption safety state monitoring and early warning system |
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| US20080183404A1 (en) * | 2007-01-13 | 2008-07-31 | Arsalan Alan Emami | Monitoring heater condition to predict or detect failure of a heating element |
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| CN113050523A (en) * | 2021-04-06 | 2021-06-29 | 广州中超合能科技有限公司 | Electric power monitoring system based on big data fusion model |
| CN115952700A (en) * | 2023-03-15 | 2023-04-11 | 江西飞尚科技有限公司 | Temperature-associated data compensation method, system, computer and storage medium |
| CN116505663A (en) * | 2023-06-28 | 2023-07-28 | 佛山市华易科技有限公司 | Farm power consumption safety state monitoring and early warning system |
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