CN118154158A - Internet of things power detection and early warning system - Google Patents
Internet of things power detection and early warning system Download PDFInfo
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Abstract
The invention provides an electric power detection and early warning system of the Internet of things, which relates to the technical field of the Internet of things, and comprises: the system comprises an Internet of things power detection terminal and an Internet of things server, wherein the Internet of things power detection terminal comprises image acquisition equipment, sound acquisition equipment, current and voltage acquisition equipment and a processor; the processor is used for: receiving an image of a power equipment site, and determining an overall power detection score; determining an electric power running stability score through the actual current, the actual voltage and the actual frequency acquired by the current and voltage acquisition equipment; acquiring an electric short circuit detection score through a detection working sound signal and a warning sound signal acquired by sound acquisition equipment; obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score; and generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server. According to the invention, the comprehensiveness of power detection can be improved.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an electric power detection and early warning system of the Internet of things.
Background
The internet of things provides real-time detection and data acquisition capability for detection and early warning of the power system, so that the running state of the power system can be mastered in time, the state of the power equipment can be detected in real time through connection of the sensor and the power equipment, more accurate data support decision and operation and maintenance are provided, the fault mode and the characteristics of the power equipment can be analyzed, potential faults can be found in advance, occurrence of accidents is avoided, and the reliability and the stability of the power system are improved.
In the related art, CN111884348a discloses an internet of things power detection and early warning system, which can timely acquire detection information through a plurality of field detection devices, determine a leakage state, and then select a corresponding site for emergency treatment; the station equipment and the early warning equipment process the monitoring information at the same time, integrate the existing early warning system with the monitoring system, and provide a redundant control network, so that the efficiency of electric leakage detection and the effectiveness of early warning as well as the timeliness of prompting are improved; after detection information is acquired, the data center distributed in the subway general service center records state information of power supply equipment and circuits, and a work order is generated according to early warning information, so that the generation efficiency of the work order is improved.
CN110690699A discloses a ubiquitous power internet of things-based intelligent detection system of a transformer substation, which comprises the steps of establishing a sensor table and a sensor early warning value table; establishing a sensor cooperation table; when the detection value of the sensor Li exceeds the safety interval, the detection value of the cooperative sensor Li-k of the sensor Li is read according to the sensor cooperation table, whether equipment faults occur or not is judged, and an alarm is sent out if the faults occur. The invention has the following substantial effects: the fault and abnormality existing in the power grid system can be found in time through the sensor early warning value table, and maintenance staff is guided to check and repair; by establishing the equipment state portrait and the equipment fault early warning portrait, the early warning of equipment faults can be provided, the fault times of power grid equipment are reduced, and the fault loss is reduced; by dividing the sub-network and establishing the edge server, the communication expense can be reduced, and the detection efficiency can be improved.
Based on the above related technology, the technical problem of untimely early warning of power detection faults can be solved, however, the related technology only detects the power supply leakage condition of the power equipment, and does not detect other aspects of the power equipment, namely, the comprehensiveness of the detection of the power equipment cannot be guaranteed.
The information disclosed in the background section of the application is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides an Internet of things power detection and early warning system, which can solve the technical problem that the comprehensiveness of power equipment detection cannot be guaranteed.
According to a first aspect of the present invention, there is provided an internet of things power detection and early warning system, comprising:
The system comprises an Internet of things power detection terminal and an Internet of things server, wherein the Internet of things power detection terminal comprises image acquisition equipment, sound acquisition equipment, current and voltage acquisition equipment and a processor;
the image acquisition equipment is used for acquiring an image of the electric power equipment site;
The sound collection equipment is used for collecting sound emitted by specific equipment in the electric equipment site;
The current and voltage acquisition equipment is used for acquiring the operation parameters of the power equipment;
The processor is configured to:
receiving an image of a power equipment site, and determining an overall power detection score according to the image;
The current and voltage acquisition equipment is used for acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments;
determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
obtaining an electric short circuit detection score according to the detection working sound signal and the warning sound signal;
Obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
And generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
According to a second aspect of the present invention, there is provided an internet of things power detection and early warning method, comprising:
receiving an image of a power equipment site, and determining an overall power detection score according to the image;
The current and voltage acquisition equipment is used for acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments;
determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
obtaining an electric short circuit detection score according to the detection working sound signal and the warning sound signal;
Obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
And generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
According to a third aspect of the present invention, there is provided an internet of things power detection and early warning apparatus, comprising: a processor; a memory for storing processor-executable instructions; the processor is configured to call the instructions stored in the memory to execute the power detection and early warning method of the Internet of things.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the internet of things power detection and early warning method.
The technical effects are as follows: according to the invention, the on-site image of the power equipment is acquired through the image acquisition equipment, the elements in the image are identified according to the artificial intelligent model, the integral power detection score is determined, the real-time operation parameters of the power equipment are acquired according to the current and voltage acquisition equipment, the power operation stability score is determined, the sound generated by the short circuit detection equipment is acquired according to the sound acquisition equipment, the power short circuit detection score is determined, the power equipment is comprehensively detected through three aspects of integral power, power operation stability and power short circuit, the comprehensiveness, objectivity and accuracy of detection are improved, the efficiency of power detection is improved, the number of faults of the power equipment is reduced, and the fault loss is reduced. When the integral power detection score is determined, multiple elements in the global image of the power equipment can be detected through the artificial intelligent model, and the integral power detection score is determined according to the detected multiple elements, so that the integral safety of the power equipment is evaluated through multiple aspects, and the accuracy and objectivity of the integral power detection score are improved. When the power running stability score is determined, cosine similarity is calculated according to running state vectors of the power equipment at a plurality of moments and rated running state vectors of the power equipment, and the power running stability score is determined according to the maximum value and the minimum value of the cosine similarity, so that the running stability of the power equipment taking the rated running state as a reference is determined in the operation process, and the accuracy, the scientificity and the objectivity of the power running stability score are improved. When the electric short circuit detection score is determined, the electric short circuit detection score is determined by detecting the frequency and the amplitude of the working sound signal and the frequency and the amplitude of the warning sound signal, and the degree of distinction between the warning sound signal and the working sound signal is reflected according to the difference between the detected working sound signal and the warning sound signal in the sound wave parameters, so that the accuracy, the scientificity and the objectivity of the electric short circuit detection score are improved. When the power detection score is determined, the power detection score is determined according to the overall power detection score, the power operation stability score and the power short circuit detection score, so that the power detection score can reflect the overall condition, the operation stability condition and the safety condition of the power equipment, and the accuracy, the comprehensiveness and the objectivity of the power detection score are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed. Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the solutions of the prior art, the drawings which are necessary for the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments may be obtained from these drawings without inventive effort to a person skilled in the art,
FIG. 1 schematically illustrates a schematic diagram of an Internet of things power detection and early warning system according to an embodiment of the invention;
Fig. 2 schematically illustrates a flow chart of an internet of things power detection and early warning method according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, 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.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 schematically illustrates a schematic diagram of an internet of things power detection and early warning system according to an embodiment of the invention, the system comprising:
The system comprises an Internet of things power detection terminal and an Internet of things server, wherein the Internet of things power detection terminal comprises image acquisition equipment, sound acquisition equipment, current and voltage acquisition equipment and a processor;
the image acquisition equipment is used for acquiring an image of the electric power equipment site;
The sound collection equipment is used for collecting sound emitted by specific equipment in the electric equipment site;
The current and voltage acquisition equipment is used for acquiring the operation parameters of the power equipment;
The processor is configured to:
receiving an image of a power equipment site, and determining an overall power detection score according to the image;
The current and voltage acquisition equipment is used for acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments;
determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
obtaining an electric short circuit detection score according to the detection working sound signal and the warning sound signal;
Obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
And generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
According to the internet of things power detection and early warning system provided by the embodiment of the invention, the field image of the power equipment can be acquired through the image acquisition equipment, the elements in the image are identified according to the artificial intelligent model, the integral power detection score is determined, the real-time operation parameters of the power equipment are acquired according to the current and voltage acquisition equipment, the power operation stability score is determined, the sound generated by the short circuit detection equipment is acquired according to the sound acquisition equipment, the power short circuit detection score is determined, the power equipment is comprehensively detected through three aspects of integral power, power operation stability and power short circuit, the detection comprehensiveness, objectivity and accuracy are improved, the power detection efficiency is improved, the fault times of the power equipment are reduced, and the fault loss is reduced.
According to one embodiment of the invention, the internet of things power detection terminal comprises an image acquisition device, a sound acquisition device, a current and voltage acquisition device and a processor.
For example, the internet of things power detection terminal includes cameras, noise reduction microphones, digital multimeters and a central processing unit of a plurality of angles.
According to one embodiment of the invention, the image acquisition device is used for acquiring images of a power plant site.
For example, images of the connection portion, the protection device portion, and the grounding device portion of the power equipment are acquired by cameras of a plurality of angles.
According to one embodiment of the invention, the sound collection device is used to collect sound emitted by a specific device within the power plant site.
For example, a detection operation sound signal of the short circuit detection device when a short circuit does not occur and a warning sound signal when a short circuit is tested are collected by the noise reduction microphone.
According to one embodiment of the invention, the current voltage acquisition device is used for acquiring the operation parameters of the power equipment.
For example, the voltage, current and frequency of the electrical equipment can be accurately measured by a digital multimeter.
According to one embodiment of the invention, the processor is configured to receive an image of a power plant site and determine an overall power detection score based on the image.
According to one embodiment of the invention, receiving an image of a power plant site and determining an overall power detection score from the image, comprises:
in the image, identifying whether a protection device exists on the electric power equipment site or not through an image detection model, and determining a protection device identification result;
In the image, recognizing whether a dangerous identifier exists on the power equipment site through an image detection model, and determining a dangerous identifier recognition result;
in the image, identifying whether a grounding device exists on the electric equipment site or not through an image detection model, and determining an identification result of the grounding device;
In the image, identifying whether insulation resistance and the condition of the insulation resistance exist on the power equipment site or not through an image detection model, and determining an insulation resistance identification result;
and determining an overall power detection score according to the protection device identification result, the danger identification result, the grounding device identification result and the insulation resistance identification result.
For example, the RCD switch and the safety switch are protection devices for preventing people from getting an electric shock due to an electrical fault, and in the image of the power equipment collected by the camera, whether the RCD switch or the safety switch exists on the site of the power equipment is identified through an image detection model; the dangerous mark is used for reminding other personnel of dangerous electricity at the place, and in the power equipment image acquired by the camera, whether the dangerous mark exists on the power equipment site or not is identified through the image detection model; the grounding device has the function of guiding current to the ground position, the voltage caused by surge or spike can be safely stopped at a certain point, the grounding device plays an important role in preventing personnel or equipment from being damaged or injured due to dangerous electrical conditions, and in the power equipment image acquired by the camera, whether the grounding device exists on the power equipment site or not is identified through the image detection model; the electric wires and the cables need to be properly insulated to ensure that the electric wires and the cables cannot be heated and leaked, so that risks such as electric fire and the like can be prevented, and in the image of the electric equipment collected by the camera, whether insulation resistance exists at the connecting position of the electric equipment or not is identified by an image detection model, and whether the insulation resistance is intact or not is judged; and detecting the image of the power equipment according to the image detection model, judging whether the power equipment has a protection device, a dangerous identifier, a grounding device and an insulation resistor, and determining the overall power detection score according to a judging result.
According to one embodiment of the present invention, determining an overall power detection score from the protection device identification result, the hazard identification result, the grounding device identification result, and the insulation resistance identification result includes: the overall power detection score C is determined according to equation (1),
C＝β1P+β2D+β3G+β4R (1)
Wherein P is the identification result of the protection device, D is the identification result of the dangerous representation, G is the identification result of the grounding device, R is the identification result of the insulation resistance, beta 1、β2、β3、β4 is the preset weight, and
According to one embodiment of the present invention, P is the protection device identification result, if a protection device is present, (e.g., a safety switch, an RCD switch, etc.), the value of P is 1, whereas the safety is reduced, and the value of P is 0; d is a dangerous representation recognition result, if dangerous identification exists, the safety is high, the value of D is 1, otherwise, the safety is reduced, and the value of D is 0; g is the identification result of the grounding device, the grounding device is a grounding wire and the like, the grounding device has high safety, the value of G is 1, otherwise, the safety is reduced, and the value of G is 0; r is an insulation resistance identification result, if the insulation resistance exists and the insulation resistance is not broken, the safety is high, the value of R is 1, if the insulation resistance does not exist or the insulation resistance is broken, the safety is reduced, and the value of R is 0; the value P, D, G, R is multiplied by the preset weights beta 1、β2、β3 and beta 4 respectively, and the weighted values are added to obtain an overall electrical detection score C, wherein the larger the value of C is, the safer the whole electrical detection score C is, and the smaller the value of C is, the more dangerous the whole electrical detection score C is.
In this way, multiple elements in the global image of the power equipment can be detected through the artificial intelligent model, and the overall electrical detection score is determined according to the detected multiple elements, so that the overall safety of the power equipment is evaluated through multiple aspects, and the accuracy and objectivity of the overall electrical detection score are improved.
According to one embodiment of the invention, the current and voltage acquisition device is used for acquiring the actual current, the actual voltage and the actual frequency of the power equipment at a plurality of operation moments.
For example, the actual current, the actual voltage and the actual frequency of the power equipment during operation are collected by a digital multimeter.
According to one embodiment of the invention, an electrical operating stability score is determined from the actual current, the actual voltage and the actual frequency.
According to one embodiment of the invention, determining an electrical power operation stability score from the actual current, the actual voltage and the actual frequency comprises:
Obtaining operation state vectors of the power equipment at a plurality of moments according to the actual current, the actual voltage and the actual frequency of the power equipment at the plurality of operation moments;
Obtaining a rated operation state vector of the power equipment according to the rated operation current, the rated operation voltage and the rated operation frequency of the power equipment;
and determining an electric power operation stability score according to the operation state vector and the rated operation state vector.
According to one embodiment of the invention, determining an electrical power operational stability score from an operational state vector and a nominal operational state vector includes: determining an electric power running stability score B according to formula (2),
Wherein I j is the actual current of the j-th operation time of the power equipment, V j is the actual voltage of the j-th operation time of the power equipment, f j is the actual frequency of the j-th operation time of the power equipment, I T is the rated working current of the power equipment, V T is the rated working voltage of the power equipment, f T is the rated working frequency of the power equipment,For the operational state vector of the j-th operational time of the electrical equipment,/>The method is characterized in that the method is used for setting a rated running state vector of the power equipment, N is the number of running moments, j is less than or equal to N, j and N are positive integers, min is a minimum function, max is a maximum function, and alpha is a preset weight.
In accordance with one embodiment of the present invention,For the cosine similarity of the running state vector of the power equipment at the j-th moment and the rated running state vector of the power equipment, the smaller the cosine similarity is, the larger the difference between the running state of the power equipment and the running state of the power equipment under the standard condition is, the larger the cosine similarity is, and the smaller the difference between the running state of the power equipment and the running state of the power equipment under the standard condition is,/>To take the maximum value of the cosine similarity between the operational state vector of the power equipment at the j-th moment and the rated operational state vector of the power equipment, namely, the condition that the operational state of the power equipment is the smallest in difference with the operational state of the power equipment under the standard condition,/>In order to take the minimum value of the cosine similarity between the running state vector of the power equipment at the j-th moment and the rated running state vector of the power equipment, namely, the condition that the running state of the power equipment is the largest in difference with the running state of the power equipment under the standard condition,The difference between the maximum value of the cosine similarity of the running state vector of the power equipment at the j-th moment and the minimum value of the cosine similarity of the rated running state vector of the power equipment, namely the difference between the condition of the largest running state difference of the power equipment under the standard condition and the condition of the smallest running state difference of the power equipment is smaller, which means that the smaller the difference is based on the rated running state, the smaller the running state fluctuation of the power equipment is, the more stable the running state is, and the electric running stability score B is determined based on the difference, so that the electric running stability score can reflect the running stability state of the power equipment.
In this way, the cosine similarity is calculated according to the running state vectors of the power equipment at a plurality of moments and the rated running state vector of the power equipment, and the electric power running stability score is determined according to the maximum value and the minimum value of the cosine similarity, so that the running stability state of the power equipment taking the rated running state as a reference is determined in the operation process, and the accuracy, the scientificity and the objectivity of the electric power running stability score are improved.
According to one embodiment of the present invention, by the sound collection device, a detection operation sound signal of the short circuit detection device when a short circuit does not occur and a warning sound signal when a short circuit is tested are collected.
According to one embodiment of the present invention, a power short circuit detection score is obtained from the detection operation sound signal and the warning sound signal.
According to an embodiment of the present invention, obtaining a power short circuit detection score from the detection operation sound signal and the warning sound signal includes: determining a power short detection score E according to equation (3),
Wherein f 1 is the frequency of the detection working sound signal, f 2 is the frequency of the warning sound signal, a 1 is the amplitude of the frequency of the detection working sound signal, a 2 is the amplitude of the warning sound signal, and γ 1 and γ 2 are preset weights.
According to one embodiment of the present invention, |f 2-f1 | is the difference between the frequency data of the warning sound signal and the frequency of the detection working sound signal,In order to obtain the ratio of the difference between the frequency data of the warning sound signal and the frequency data of the detection working sound signal to the frequency data of the warning sound signal, when the ratio is smaller, the smaller the frequency difference between the frequency of the detection working sound signal and the frequency of the warning sound signal is, the lower the distinction degree of the detection working sound signal is compared with the warning sound signal, the warning sound signal is difficult to distinguish, the potential safety hazard of the electric power equipment exists, |A 2-A1 | is the difference between the amplitude data of the warning sound signal and the amplitude value of the detection working sound signal,/>In order to obtain the ratio of the difference value between the amplitude data of the warning sound signal and the amplitude data of the detection working sound signal to the frequency data of the warning sound signal, when the ratio is smaller, the smaller the amplitude difference between the detection working sound signal and the warning sound signal is, the lower the discrimination of the detection working sound signal is compared with the warning sound signal, the warning sound signal is difficult to distinguish, the potential safety hazard of the electric power equipment exists, and the following is trueThe values of (a) are multiplied by preset weights gamma 1 and gamma 2 respectively, and the weighted values are added to obtain a power short-circuit detection score E, wherein the larger the value of E is, the larger the distinction between a warning sound signal and a working sound signal is, and the higher the safety of power equipment is.
In this way, the frequency and amplitude of the working sound signal and the frequency and amplitude of the warning sound signal are detected, the electric short circuit detection score is determined, the degree of distinction between the warning sound signal and the working sound signal is reflected according to the difference between the detected working sound signal and the warning sound signal in the sound wave parameters, and the accuracy, the scientificity and the objectivity of the electric short circuit detection score are improved.
According to one embodiment of the present invention, a power detection score is obtained from the overall power detection score, the power running stability score, and the power short circuit detection score.
According to one embodiment of the present invention, obtaining a power detection score from the overall power detection score, the power running stability score, and the power short circuit detection score includes:
determining an overall power detection result according to the overall power detection score;
determining an electric power operation stability result according to the electric power operation stability score;
Determining a power short circuit detection result according to the power short circuit detection score;
Determining a power detection score according to the overall power detection result, the power operation stability result and the power short circuit detection result;
Determining a power detection score F according to equation (4),
F＝C0δ1+B0δ2+E0δ3 (4)
Determining a power detection score F, wherein C 0 is an overall power detection result, B 0 is a power operation stability detection result, E 0 is a power short circuit detection result, delta 1、δ2、δ3 is a preset weight, delta 1、δ2、δ3 is a positive integer and is not proportional, and
According to one embodiment of the invention, C 0 is the overall power detection result, if the overall power detection score is larger than the set threshold value, the overall power detection meets the standard, the value of C 0 is 1, otherwise, the value of C 0 is 0, and the potential safety hazard exists; b 0 is a power running stability detection result, if the power running stability score is larger than a set threshold value, the power equipment running state is stable, the value of B 0 is 1, otherwise, the value of B 0 is 0, the power equipment running state is unstable, and potential safety hazards exist; e 0 is a power short circuit detection result, if the power short circuit detection score is larger than a set threshold value, the degree of distinction between the warning sound signal and the working sound signal is large, the value of E 0 is 1, otherwise, the value of E 0 is 0, the degree of distinction between the warning sound signal and the working sound signal is low, and potential safety hazards exist; the value of C 0、B0、E0 is multiplied by δ 1、δ2 and δ 3, respectively, and the weighted values are added to obtain a power detection score F, the larger the value of F, the better the power detection condition.
In this way, the power detection score is determined according to the overall power detection score, the power operation stability score and the power short circuit detection score, so that the power detection score can reflect the overall condition, the operation stability condition and the safety condition of the power equipment, and the accuracy, the comprehensiveness and the objectivity of the power detection score are improved.
According to one embodiment of the invention, a maintenance work order is generated and sent to the Internet of things server according to the power detection score.
For example, delta 1、δ2、δ3 is 3, 5 and 7 respectively, and when the finally generated power detection score is 15, no power safety hazard exists; when the finally generated power detection score is 12, the overall power detection score is smaller than a set threshold value, and potential safety hazards exist in aspects of a protection device or a grounding device or a dangerous mark or an insulation resistor and the like of the power equipment; when the finally generated power detection score is 10, the power running stability score is smaller than a set threshold value, and the running state of the power equipment is unstable; when the finally generated power detection score is 8, the power short circuit detection score is smaller than a set threshold value, and the power equipment has a circuit short circuit risk; when the finally generated power detection score is 7, the overall power detection score and the power operation stability score are smaller than the set threshold, and potential safety hazards exist in aspects of a protection device or a grounding device or a dangerous sign or an insulation resistance and the operation state of the power equipment is unstable; when the finally generated power detection score is 5, the overall power detection score and the power short circuit detection score are smaller than a set threshold value, and potential safety hazards exist in the aspects of protection devices or grounding devices or dangerous marks or insulation resistances and the power equipment has circuit short circuit risks; when the finally generated power detection score is 3, the power operation stability score and the power short circuit detection score are smaller than the set threshold, the operation state of the power equipment is unstable, and the risk of circuit short circuit exists in the power equipment; and finally, when the generated power detection score is 0, indicating that the overall power detection score, the power operation stability score and the power short circuit detection score are smaller than a set threshold, wherein potential safety hazards exist in aspects of a protection device or a grounding device or a dangerous sign or an insulation resistance and the like, the operation state of the power equipment is unstable and the risk of circuit short circuit exists in the power equipment. And generating a corresponding maintenance work order and sending early warning to the Internet of things server according to the existing hidden danger of the power equipment, and reminding maintenance personnel to carry out maintenance.
According to the internet of things power detection and early warning system, the image acquisition device is used for acquiring the field image of the power equipment, the elements in the image are identified according to the artificial intelligent model, the integral power detection score is determined, the real-time operation parameters of the power equipment are acquired according to the current and voltage acquisition device, the power operation stability score is determined, the sound generated by the short circuit detection device is acquired according to the sound acquisition device, the power short circuit detection score is determined, the power equipment is comprehensively detected through three aspects of integral power, power operation stability and power short circuit, the detection comprehensiveness, objectivity and accuracy are improved, the power detection efficiency is improved, the fault times of the power equipment are reduced, and the fault loss is reduced. When the integral power detection score is determined, multiple elements in the global image of the power equipment can be detected through the artificial intelligent model, and the integral power detection score is determined according to the detected multiple elements, so that the integral safety of the power equipment is evaluated through multiple aspects, and the accuracy and objectivity of the integral power detection score are improved. When the power running stability score is determined, cosine similarity is calculated according to running state vectors of the power equipment at a plurality of moments and rated running state vectors of the power equipment, and the power running stability score is determined according to the maximum value and the minimum value of the cosine similarity, so that the running stability of the power equipment taking the rated running state as a reference is determined in the operation process, and the accuracy, the scientificity and the objectivity of the power running stability score are improved. When the electric short circuit detection score is determined, the electric short circuit detection score is determined by detecting the frequency and the amplitude of the working sound signal and the frequency and the amplitude of the warning sound signal, and the degree of distinction between the warning sound signal and the working sound signal is reflected according to the difference between the detected working sound signal and the warning sound signal in the sound wave parameters, so that the accuracy, the scientificity and the objectivity of the electric short circuit detection score are improved. When the power detection score is determined, the power detection score is determined according to the overall power detection score, the power operation stability score and the power short circuit detection score, so that the power detection score can reflect the overall condition, the operation stability condition and the safety condition of the power equipment, and the accuracy, the comprehensiveness and the objectivity of the power detection score are improved.
Fig. 2 schematically illustrates a flow chart of an internet of things power detection and early warning method according to an embodiment of the invention, the method comprising:
step S101, receiving an image of the electric power equipment site, and determining an overall electric power detection score according to the image;
Step S102, acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments through the current and voltage acquisition equipment;
Step S103, determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Step S104, collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
Step S105, obtaining a power short circuit detection score according to the detection working sound signal and the warning sound signal;
step S106, obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
and step S107, generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
According to an embodiment of the present invention, there is provided an internet of things power detection and early warning apparatus, including: a processor; a memory for storing processor-executable instructions; the processor is configured to call the instructions stored in the memory to execute the power detection and early warning method of the Internet of things.
According to one embodiment of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the internet of things power detection and early warning method.
The present invention may be a method, apparatus, system, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for performing various aspects of the present invention.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from the principles described.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. The utility model provides an thing networking electric power detects and early warning system which characterized in that includes: the system comprises an Internet of things power detection terminal and an Internet of things server, wherein the Internet of things power detection terminal comprises image acquisition equipment, sound acquisition equipment, current and voltage acquisition equipment and a processor;
the image acquisition equipment is used for acquiring an image of the electric power equipment site;
The sound collection equipment is used for collecting sound emitted by specific equipment in the electric equipment site;
The current and voltage acquisition equipment is used for acquiring the operation parameters of the power equipment;
The processor is configured to:
receiving an image of a power equipment site, and determining an overall power detection score according to the image;
The current and voltage acquisition equipment is used for acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments;
determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
obtaining an electric short circuit detection score according to the detection working sound signal and the warning sound signal;
Obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
And generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
2. The internet of things power detection and pre-warning system of claim 1, wherein receiving an image of a power device site and determining an overall power detection score from the image comprises:
in the image, identifying whether a protection device exists on the electric power equipment site or not through an image detection model, and determining a protection device identification result;
In the image, recognizing whether a dangerous identifier exists on the power equipment site through an image detection model, and determining a dangerous identifier recognition result;
in the image, identifying whether a grounding device exists on the electric equipment site or not through an image detection model, and determining an identification result of the grounding device;
In the image, identifying whether insulation resistance and the condition of the insulation resistance exist on the power equipment site or not through an image detection model, and determining an insulation resistance identification result;
and determining an overall power detection score according to the protection device identification result, the danger identification result, the grounding device identification result and the insulation resistance identification result.
3. The internet of things power detection and early warning system of claim 2, wherein determining an overall power detection score based on the protection device identification result, the hazard identification result, the grounding device identification result, and the insulation resistance identification result comprises:
According to the formula
C＝β1P+β2D+β3G+β4R
Determining an overall power detection score C, wherein P is a protective device identification result, D is a danger representation identification result, G is a grounding device identification result, R is an insulation resistance identification result, beta 1、β2、β3、β4 is a preset weight, and
4. The internet of things power detection and early warning system of claim 1, wherein determining a power operation stability score from the actual current, actual voltage, and actual frequency comprises:
Obtaining operation state vectors of the power equipment at a plurality of moments according to the actual current, the actual voltage and the actual frequency of the power equipment at the plurality of operation moments;
Obtaining a rated operation state vector of the power equipment according to the rated operation current, the rated operation voltage and the rated operation frequency of the power equipment;
and determining an electric power operation stability score according to the operation state vector and the rated operation state vector.
5. The internet of things power detection and early warning system of claim 4, wherein determining a power operational stability score from the operational state vector and the rated operational state vector comprises:
According to the formula
Determining an electric power operation stability score B, wherein I j is the actual current of the j-th operation time of the electric power equipment, V j is the actual voltage of the j-th operation time of the electric power equipment, f j is the actual frequency of the j-th operation time of the electric power equipment, I T is the rated working current of the electric power equipment, V T is the rated working voltage of the electric power equipment, f T is the rated working frequency of the electric power equipment,For the operational state vector of the j-th operational time of the electrical equipment,/>The method is characterized in that the method is used for setting a rated running state vector of the power equipment, N is the number of running moments, j is less than or equal to N, j and N are positive integers, min is a minimum function, max is a maximum function, and alpha is a preset weight.
6. The internet of things power detection and early warning system of claim 1, wherein obtaining a power short circuit detection score from the detection working sound signal and the warning sound signal comprises:
According to the formula
Determining a power short circuit detection score E, wherein f 1 is the frequency of a detection working sound signal, f 2 is the frequency of a warning sound signal, A 1 is the amplitude of the frequency of the detection working sound signal, A 2 is the amplitude of the warning sound signal, and gamma 1 and gamma 2 are preset weights.
7. The internet of things power detection and early warning system of claim 1, obtaining a power detection score from the overall power detection score, the power operation stability score, and the power short circuit detection score, comprising:
determining an overall power detection result according to the overall power detection score;
determining an electric power operation stability result according to the electric power operation stability score;
Determining a power short circuit detection result according to the power short circuit detection score;
Determining a power detection score according to the overall power detection result, the power operation stability result and the power short circuit detection result;
According to the formula
F＝C0δ1+B0δ2+E0δ3
Determining a power detection score F, wherein C 0 is an overall power detection result, B 0 is a power operation stability detection result, E 0 is a power short circuit detection result, delta 1、δ2、δ3 is a preset weight, delta 1、δ2、δ3 is a positive integer and is not proportional, and
8. The electric power detection and early warning method for the Internet of things is characterized by comprising the following steps of:
receiving an image of a power equipment site, and determining an overall power detection score according to the image;
The current and voltage acquisition equipment is used for acquiring actual current, actual voltage and actual frequency of the power equipment at a plurality of operation moments;
determining an electric power operation stability score according to the actual current, the actual voltage and the actual frequency;
Collecting a detection working sound signal of the short circuit detection device when no short circuit occurs and a warning sound signal when the short circuit is tested through the sound collecting device;
obtaining an electric short circuit detection score according to the detection working sound signal and the warning sound signal;
Obtaining a power detection score according to the overall power detection score, the power operation stability score and the power short circuit detection score;
And generating a maintenance work order and early warning according to the electric power detection score, and sending the maintenance work order and early warning to the Internet of things server.
9. The utility model provides an thing networking electric power detects and early warning equipment which characterized in that includes: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored in the memory to perform the method of any of claims 8.
10. A computer readable storage medium, having stored thereon computer program instructions which, when executed by a processor, implement the method of any of claims 8.
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