CN113113972A

CN113113972A - Monitoring information generation method and device, electronic equipment and computer readable medium

Info

Publication number: CN113113972A
Application number: CN202110658383.1A
Authority: CN
Inventors: 闫剑锋; 戚鑫; 杨琦; 于成洋; 郑旭; 李旭; 李伟义
Original assignee: Beijing Defeng New Journey Technology Co ltd
Current assignee: Beijing Defeng Xinzheng Technology Co.,Ltd.
Priority date: 2021-06-15
Filing date: 2021-06-15
Publication date: 2021-07-13
Anticipated expiration: 2041-06-15
Also published as: CN113113972B

Abstract

The embodiment of the disclosure discloses a monitoring information generation method, a monitoring information generation device, electronic equipment and a computer readable medium. One embodiment of the method comprises: analyzing historical operation information of the target equipment to determine historical safety indexes of the power system; analyzing the real-time operation information of the target equipment, and determining a first real-time safety index of the power system; carrying out power flow analysis on the power system, and determining a second real-time safety index of the power system; analyzing the current operation state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index; and if the power system is in an abnormal state, generating prompt information. The embodiment realizes the monitoring of the power system of a general production enterprise. Through many-sided data analysis, can improve the accuracy of monitoring result, and then promote electric power system's safety and stability.

Description

Monitoring information generation method and device, electronic equipment and computer readable medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a monitoring information generation method, a monitoring information generation device, electronic equipment and a computer readable medium.

Background

With the development of technologies such as the internet of things technology and the industrial internet, more and more enterprises perform upgrading and reconstruction of equipment. This enables the complete monitoring of devices and information that could not be monitored originally. For the safety monitoring of an electric power system, the existing safety evaluation index system mainly aims at a power transmission network and a power distribution network system. Since the operation range of general production enterprises (such as refining enterprises) is different from that of electric power enterprises, the used equipment can be different. Therefore, the prior art is not suitable for safety monitoring of the power system of a general production enterprise, and the monitoring content is lack of pertinence. In addition, the operating characteristics of different devices often differ. The selection of data and the correlation between data also need to be considered in the monitoring.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure propose methods, apparatuses, electronic devices and computer readable media for analyzing power system security to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a monitoring information generating method, including: acquiring historical operation information of target equipment in the power system, analyzing the historical operation information, and determining historical safety indexes of the power system; the method comprises the steps of obtaining real-time operation information of target equipment, analyzing the real-time operation information, and determining a first real-time safety index of the power system; carrying out power flow analysis on the power system, and determining a second real-time safety index of the power system; analyzing the current operation state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index; in response to determining that the power system is in an abnormal state, generating a prompt.

In some embodiments, analyzing the historical operating information to determine historical safety indicators for the power system includes: summarizing and analyzing historical operation information of various devices in target devices, and combining big data to obtain historical safety scores of the various devices; and determining historical safety indexes of the power system according to historical safety scores of various devices in the target device.

In some embodiments, the summary analysis of the historical operating information of various types of devices in the target device includes: for each equipment in each class of equipment, determining the evaluation score of the equipment by adopting a corresponding evaluation formula according to historical operation information, wherein the evaluation score of the transformer class of equipment is related to the rated available years, the used years, the accumulated total fault duration and the accumulated total operation duration; the evaluation score of the motor equipment is related to the maximum operation time of one-time starting, the actual operation time of each starting, the starting times, the total accumulated fault time and the effective warning times.

In some embodiments, analyzing the real-time operational information to determine a first real-time safety indicator of the power system includes: summarizing and analyzing the real-time operation information of various devices in the target device, and combining big data to obtain real-time safety scores of the various devices; and determining a first real-time safety index of the power system according to the real-time safety scores of various devices in the target device.

In some embodiments, the power flow analysis is performed on the power system, including at least one of: single failure safety principle analysis, three-phase current unbalance analysis, three-phase voltage unbalance analysis and power failure analysis.

In some embodiments, analyzing the current operating state of the power system based on the historical safety indicator, the first real-time safety indicator data, and the second real-time safety indicator includes: determining a weighted average of the historical security index, the first real-time security index and the second real-time security index; and comparing the weighted average value with a preset threshold value, and determining whether the power system is in a safe operation state currently according to the comparison result.

In some embodiments, the method further comprises: and in response to determining that the abnormal state is the preset state, starting a standby power supply line in the power system, and/or controlling a first power-off device in the power system to perform power-off operation, wherein the first power-off device is used for controlling the power-on and power-off of the production equipment.

In a second aspect, some embodiments of the present disclosure provide a monitoring information generating apparatus, including: the system comprises a first analysis unit, a second analysis unit and a third analysis unit, wherein the first analysis unit is configured to acquire historical operation information of target equipment in the power system, analyze the historical operation information and determine a historical safety index of the power system; the second analysis unit is configured to acquire real-time operation information of the target equipment, analyze the real-time operation information and determine a first real-time safety index of the power system; the third analysis unit is configured to perform power flow analysis on the power system and determine a second real-time safety index of the power system; a state analysis unit configured to analyze a current operating state of the power system according to the historical safety index, the first real-time safety index, and the second real-time safety index; a generation unit configured to generate a prompt message in response to determining that the power system is in an abnormal state.

In some embodiments, the first analysis unit is further configured to: summarizing and analyzing historical operation information of various devices in target devices, and combining big data to obtain historical safety scores of the various devices; and determining historical safety indexes of the power system according to historical safety scores of various devices in the target device.

In some embodiments, the first analysis unit is further configured to: for each equipment in each class of equipment, determining the evaluation score of the equipment by adopting a corresponding evaluation formula according to historical operation information, wherein the evaluation score of the transformer class of equipment is related to the rated available years, the used years, the accumulated total fault duration and the accumulated total operation duration; the evaluation score of the motor equipment is related to the maximum operation time of one-time starting, the actual operation time of each starting, the starting times, the total accumulated fault time and the effective warning times.

In some embodiments, the second analysis unit is further configured to: summarizing and analyzing the real-time operation information of various devices in the target device, and combining big data to obtain real-time safety scores of the various devices; and determining a first real-time safety index of the power system according to the real-time safety scores of various devices in the target device.

In some embodiments, the state analysis unit is further configured to: determining a weighted average of the historical security index, the first real-time security index and the second real-time security index; and comparing the weighted average value with a preset threshold value, and determining whether the power system is in a safe operation state currently according to the comparison result.

In some embodiments, the apparatus further comprises: and the control unit is configured to respond to the determination that the abnormal state is the preset state, start a standby power supply line in the power system, and/or control a first power-off device in the power system to perform power-off operation, wherein the first power-off device is used for controlling the power-on and power-off of the production equipment.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: the monitoring information generation method of some embodiments of the present disclosure not only analyzes historical operation information and real-time operation information of the device, but also performs power flow analysis of the power system. And then, the current operation state of the power system is analyzed by combining three safety indexes, namely a historical safety index, a first real-time safety index and a second real-time safety index. Through multi-aspect data analysis, the accuracy of the monitoring result can be effectively improved. And when the power system is in an abnormal state, prompt information can be generated. Therefore, the user can take corresponding measures in time so as to improve the safety and stability of the power system and reduce the operation risk. The safety monitoring of the power system rich in pertinence is realized.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

FIG. 1 is an architectural diagram of an exemplary system in which some embodiments of the present disclosure may be applied;

fig. 2 is a flow diagram of some embodiments of a monitoring information generation method according to the present disclosure;

FIG. 3 is a schematic block diagram of some embodiments of a monitoring information generation apparatus according to the present disclosure;

FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates an exemplary system architecture 100 to which the monitoring information generation methods or apparatus of some embodiments of the present disclosure may be applied.

As shown in fig. 1, system architecture 100 may include

terminal devices

101, 102, 103, network 104, database server 105, and server 106. Network 104 may be a medium used to provide communication links between

terminal devices

101, 102, 103, database server 105, and server 106. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 106 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have various client applications installed thereon, such as a power system security monitoring application, a power flow analysis computing application, a web browser, a shopping application, an instant messaging tool, and the like.

Here, the

terminal apparatuses

101, 102, and 103 may be hardware or software. When the

terminal devices

101, 102, 103 are hardware, they may be various electronic devices having a display screen, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the

terminal apparatuses

101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.

The database server 105 may be a server that provides various services, and may be, for example, a server that stores historical operation information, real-time operation information, and power flow data of the power system. The server may also be configured to store monitoring analysis data, such as a historical security index, a first real-time security index, a second real-time security index, and the like.

The server 106 may also be a server that provides various services, and may be, for example, a background server that provides support for applications installed in the

terminal apparatuses

101, 102, 103. The backend server may obtain relevant data from the database server 105 and perform analysis processing when receiving the security monitoring analysis instruction. Meanwhile, the monitoring result (e.g., the generated prompt information) may be fed back to the

terminal apparatuses

101, 102, 103.

Here, the database server 105 and the server 106 may be hardware or software. When database server 105 and server 106 are hardware, they may be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When database server 105 and server 106 are software, they may be implemented as multiple pieces of software or software modules, for example, to provide distributed services, or as a single piece of software or software module. And is not particularly limited herein.

It should be noted that the monitoring information generation method provided by the embodiment of the present disclosure may be executed by the

terminal devices

101, 102, and 103, or may be executed by the server 106. Accordingly, the monitoring information generating device may be provided in the

terminal apparatuses

101, 102, and 103, or may be provided in the server 106. And is not particularly limited herein.

It is to be appreciated that the system architecture 100 may not provide the database server 105 in the case where the server 106 has the respective functionality of the database server 105.

It should be understood that the number of terminal devices, networks, database servers, and servers in fig. 1 are merely illustrative. There may be any number of terminal devices, networks, database servers, and servers, as desired for implementation.

With continued reference to fig. 2, a flow 200 of some embodiments of a monitoring information generation method according to the present disclosure is shown. The method comprises the following steps:

step 201, obtaining historical operation information of target equipment in the power system, analyzing the historical operation information, and determining a historical safety index of the power system.

In some embodiments, an executive (e.g., server 106 shown in fig. 1) of the monitoring information generation method may obtain historical operating information of a target device in the power system from a device (e.g., database server 105 shown in fig. 1) communicatively connected thereto. And the obtained historical operation information can be analyzed, so that the historical safety index of the power system is determined.

The target device may be any device in the power system, for example, a primary device and a secondary device in the power system. Among them, the equipment that directly produces, converts, and transmits electric energy is generally called power system primary equipment; auxiliary equipment for monitoring, measuring, controlling, protecting and adjusting primary equipment is generally called secondary equipment of a power system. It can be understood that the power grid of a general production enterprise is basically directly supplied by an electric power company and has no power generation equipment. In addition, the enterprises mainly take production, and the number of devices driven by the motor is often large. Therefore, compared with the traditional safety analysis of high-voltage power grids and power distribution networks, the target equipment mainly comprises the following components: transformers, switches and breakers, capacitors, lines, motors, etc. The historical operating information may be information used to characterize the historical operating conditions of the device, including (but not limited to): commissioning time, accumulated running time, failure times, warning times, commissioning times and the like.

In some embodiments, the execution subject may perform a summary analysis of historical operational information of various types of devices in the target device. Later, big data analysis can be combined to obtain historical safety scores of various devices. As an example, the score (i.e., the evaluation score) of each device in the same class of devices may be obtained first, and then the historical security score of the class of devices may be determined. For example, devices that are commissioned earlier may score lower; or the equipment with the earlier commissioning time and the shorter accumulated running time has higher score. It will be appreciated that the operating characteristics and manner of operation of different devices will often vary. In order to improve the accuracy of the evaluation result of the device, in some embodiments of the present disclosure, different devices may adopt the following different evaluation formulas.

Scoring for transformer type devices

Comprises the following steps:

；

wherein,

representing the rated available years of the transformer;

the number of the used years of the transformer is represented as the difference between the current year and the service year;

indicating the cumulative total length of time of the fault,

representing the single fault duration;

indicating the cumulative total length of operation.

As an example, a transformer 2015 is put into use, and has been used for 6 years, during which no fault occurs. If it is available for 30 years, the rating of the transformer is 80.

In order to ensure the stability of power supply, the transformer is usually in an operating state after being put into use. Thus, the longer the transformer is used, the more likely it is that problems will occur due to aging. Therefore, the number of used years of the transformer is taken as an important scoring parameter. In addition, the severity of each fault of the transformer is different, and the influence on the power supply is also different. Generally, the more severe the failure, the longer the maintenance time required. The fault duration is used as a scoring parameter to reflect the severity of the fault. The running stability of the transformer can be well measured through the ratio of the used years to the rated available years and the ratio of the accumulated total fault time to the accumulated total running time. Therefore, the scoring result obtained by the formula is beneficial to improving the accuracy of monitoring analysis.

Scoring for switchgear

Comprises the following steps:

；

wherein,

representing a rated maximum opening and closing time;

representing the actual opening and closing times;

indicating the number of failures.

As an example, the rated maximum number of times of opening and closing of a certain switch is 2000 times, the actual number of times of opening and closing during operation is 20 times, and the number of times of failure is 0. The switch then scores 99.

Scoring for motor type devices

Comprises the following steps:

；

wherein,

represents the number of starts;

representing a maximum operation time of one start;

representing the actual running time of each start;

represents coefficient and value range of [0, 1 ]]；

Representing the accumulated total fault time;

representing the accumulated total running time;

the starting times are shown, and if the starting and stopping times of the motor in long-term overload operation are less, the motor is started and stopped

Or the ratio of the accumulated running time length to the maximum running time length of one-time starting can be used for determining;

indicating the number of valid warnings.

It should be noted that most production enterprises produce day and night, and staff work on duty. That is, once the production equipment is started, the production equipment is often in a running state for a long time. For this case, the longer the actual running time of a single start of the motor, the more likely a failure occurs. Particularly approaching or exceeding a start-up maximum operating duration. Therefore, the above coefficients

And

the larger the ratio, the smaller the coefficient. If the ratio is less than 0.8, the coefficient is 1. The ratio is between 0.8 and 0.95, and the coefficient is 0.8. When the ratio is greater than 0.95, the coefficient is 0.6. Therefore, the evaluation result is more reasonable, and the accuracy of the monitoring result is improved. In addition, some detection sensors are usually installed on the production equipment or the motor to warn of problems in operation. The effective warning is typically a warning that if the problem is not addressed in time or as early as possible, a failure of the equipment will result, which may affect production, such as a lack of oil in the motor. The higher the proportion of the effective warning times is, the more reasonable the installation design of the detection sensor on the detection sensor is, the better the reliability is, thereby ensuring the safe and stable operation of the equipment. Therefore, the effective warning times are used as one of important parameters for scoring of the motor equipment, the operation stability of the motor can be determined, and the accuracy of the monitoring result is further improved.

As an example, a certain motor startsTwice. The first actual run was 200 hours long. The second actual run was 150 hours long. During which no faults and no active warnings occur. If the maximum operation time of the motor is 240 hours after one start. When it is scored as

。

Here, the historical security score of the same type of device may be an average or a weighted average of the scores of each device. Or, the equipment with the accumulated running time or the commissioning times reaching the preset value can be screened out firstly. And then, calculating the historical safety score of the similar equipment according to the screened equipment. Therefore, the monitoring and analyzing result obtained by utilizing the effective data has more reference value and more accurate monitoring result.

Further, according to the historical safety scores of various types of equipment in the target equipment, the execution subject can determine the historical safety index of the power system according to the following formula

：

；

Wherein,

、

、

respectively represent a first class, a second class and a first class

Coefficient of similar power system equipment, value range [0, 1%]；

、

、

Respectively represent a first class, a second class and a first class

Historical safety score of power system-like equipment, value range [0, 100]]；

The number of the types of the power system equipment is represented and is a positive integer;

the value range is [0, 100]]。

As an example, the historical safety score for a transformer class (first class) device is 90 with a factor of 0.8. The historical safety score for the motor class (second class) device is 85 with a factor of 1. The historical safety index of the power system at this time is 78.5.

It should be noted that, in general, there are differences in operation modes between different enterprises, and the production facilities used are different. The monitoring emphasis therefore also differs. This can be achieved by adjusting the coefficients of different kinds of devices. In addition, in order to improve the accuracy of the monitoring result, the historical operation information is mostly production data accumulated by the enterprise. And for the enterprises which just put into production, the network data can be referred to in the early stage. And the acquisition period of the historical operation information can be set according to the updating frequency of the historical operation information. If the historical operating information is updated every day (24 hours), the historical operating information may be obtained only at the first analysis during the power system safety analysis of a day. The subsequent analysis can directly refer to the historical safety index obtained by the first analysis. This helps to improve the data processing efficiency of the execution subject.

Step 202, acquiring real-time operation information of the target device, analyzing the real-time operation information, and determining a first real-time safety index of the power system.

In some embodiments, the execution body may also obtain real-time running information of the target device from the device with which it is communicatively connected. The real-time operation information may then be analyzed to determine a first real-time safety indicator of the power system. The real-time operation information may be information for characterizing the real-time operation of the device, including (but not limited to): real-time current, real-time voltage, fault or alarm signals, etc.

In some optional implementations, the execution subject may perform aggregate analysis on real-time operation information of various devices in the target device. And then, the real-time safety scores of various devices can be obtained by combining big data analysis. Here, reference may be made to the related description in step 201, which is not described in detail here. Then, according to the real-time safety scores of various devices in the target device, the executive body can determine a first real-time safety index of the power system

：

；

Wherein,

、

、

respectively represent a first class, a second class and a first class

Coefficient of similar power system equipment, value range [0, 1%]；

、

、

Respectively represent a first class, a second class and a first class

Real-time safety score of power system-like equipment, value range [0, 100%]；

the value range is [0, 100]]。

As an example, the real-time safety score for a transformer class (first class) device is 95 with a factor of 0.8. The real-time safety score for motor class (second class) devices is 90 with a factor of 1. The first real-time safety index of the power system at this time is 83.

And 203, carrying out power flow analysis on the power system, and determining a second real-time safety index of the power system.

In some embodiments, the executive agent may also perform a power flow analysis on the power system to further determine a second real-time safety indicator for the power system

：

；

Wherein,

、

、

respectively represent a first item, a second item and a first item

Coefficient of term power flow analysis, value range [0, 1%]；

、

、

Respectively represent a first item, a second item and a first item

Value of the term trend analysis, value range [0, 100%]；

The number of terms representing the power flow analysis is a positive integer;

the value range is [0, 100]]。

It should be noted that, the user can set the content of the specific power flow analysis calculation according to the actual needs of the user. For example, a general production enterprise generally needs to consider the influence of power supply stability on equipment. Thus, for a manufacturing enterprise, power flow analysis of a power system may include (but is not limited to) at least one of: single failure safety principle (also called N-1 principle) analysis, three-phase current unbalance analysis, three-phase voltage unbalance analysis, electric power interference analysis and the like. And the power distribution network of the power enterprise is complicated and has huge data, so that the collection points are not set too densely. The main purpose of the single fail-safe principle analysis here is to see how much different devices affect the power system as a whole, i.e. the level of importance of the devices.

As an example, the score of the three-phase current imbalance analysis (first power flow analysis) is 92, and the coefficient is 0.95. The value of the interference analysis (second power flow analysis) is 90, and the coefficient is 1. The second real-time safety index for the power system at this time is 88.7.

And 204, analyzing the current operation state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index.

In some embodiments, the execution subject may analyze the current operating state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index obtained in the above three steps. For example, the index with the lowest or highest score value among the three indexes may be used as reference data to determine the current operating state of the power system. Here, the user can divide the operation state in accordance with his/her own needs. As an example, the operating state may include a safe operating state and an abnormal state.

Optionally, the execution subject may determine a weighted average of the historical security index, the first real-time security index, and the second real-time security index

：

；

Wherein,

、

、

are respectively as

、

、

The coefficient of (a);

the value range is [0, 100]]。

As an example, for each of the indices obtained above, the historical security index is 78.5, the first real-time security index is 83, and the second real-time security index is 88.7. If the coefficients of the three indexes are all 1, the weighted average of the three indexes is 83.4.

The executive may then compare the weighted average to a preset threshold. And determining whether the power system is currently in a safe operation state according to the comparison result. For example, the preset threshold value is in a safety non-early warning state within the range of [100, 100 ]; the preset threshold value is in a range of [90, 100) and is in a safe early warning state; the preset threshold value is in a fault state within the range of [60, 90 "); the preset threshold is in the range of 0, 60) to be a breakdown state.

In response to determining that the power system is in an abnormal state, a prompt is generated, step 205.

In some embodiments, when the power system is in a safe operation state (e.g., a safe no-warning state), the execution subject may not perform any operation, so that the power system maintains normal operation. If the power system is in an abnormal state (such as a safety precaution state, a fault state and a breakdown state), the execution main body can also generate prompt information and send the prompt information to the terminal equipment (such as the

terminal equipment

101, 102 and 103 shown in fig. 1) used by the user. The prompt information here is generally information related to an abnormal state. As an example, the execution principal may send early warning information when the system is in a safe and early warning state. Therefore, the user can timely handle the early warning problem, the possibility of the failure of the power system and the equipment is effectively avoided, and the risk of production operation is reduced. When the system is in a fault state, the execution principal may send fault information. So that maintenance personnel can take hold of the time for first-aid repair. That is to say, the user can in time take corresponding measure according to the prompt message, promotes the power consumption safety.

In some optional implementations, if the execution subject determines that the abnormal state of the power system is a preset state, for example, a crash state, a standby power supply line in the power system may also be started. As an example, if the enterprise is provided with a backup power supply device (e.g., an energy storage device), the enforcement agent may send an activation signal to it. As another example, at least two power supply lines are generally provided in an electric power system. At this time, the execution main body may transmit a closing signal to a switch (breaker) provided in the backup power supply line to supply power using the backup power supply line. Further, if the abnormal state is the preset state, the execution main body may also control the first power-off device in the power system to execute the power-off operation. The first power-off equipment is used for controlling the power-on and power-off of the production equipment. That is, when the system is in a crash state, the executive agent may initiate a system emergency plan, thereby ensuring basic power usage of the enterprise. Meanwhile, a user can grasp the emergency repair and recover the power utilization of the plant area in time.

The method provided by some embodiments of the disclosure has more targeted monitoring and analysis content, and can be applied to the safety monitoring of the power system of a general production enterprise. In addition, the method not only analyzes the historical operation information and the real-time operation information of the power system equipment, but also analyzes the power flow of the power system. And analyzing and judging the current operation state of the power system by combining the three analysis results. Therefore, the accuracy of the monitoring result can be effectively improved. Further, when the power system is in an abnormal state, a prompt message may be generated. Therefore, the possibility of system and equipment failure can be avoided or reduced, and the safety and stability of the power system are improved. The production efficiency of enterprises is improved, and meanwhile, the economic loss caused by faults can be reduced.

With further reference to fig. 3, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a monitoring information generating apparatus, which correspond to those shown in fig. 2, and which may be applied in various electronic devices.

As shown in fig. 3, the monitoring information generation apparatus 300 of some embodiments includes: a first analysis unit 301, a second analysis unit 302, a third analysis unit 303, a state analysis unit 304, and a generation unit 305. The first analysis unit 301 is configured to acquire historical operation information of a target device in the power system, analyze the historical operation information, and determine a historical safety index of the power system; the second analysis unit 302 is configured to obtain real-time operation information of the target device, analyze the real-time operation information, and determine a first real-time safety index of the power system; the third analysis unit 303 is configured to perform a power flow analysis on the power system, and determine a second real-time safety index of the power system; the state analysis unit 304 is configured to analyze a current operating state of the power system according to the historical safety indicator, the first real-time safety indicator, and the second real-time safety indicator; the generation unit 305 is configured to generate the prompt information in response to determining that the power system is in the abnormal state.

In an optional implementation manner of some embodiments, the first analysis unit 301 may first perform a summary analysis on historical operation information of various types of devices in the target device. And then combining the big data to obtain historical safety scores of various devices. Then, the first analysis unit 301 may determine the historical safety index of the power system according to the historical safety scores of various types of devices in the target device.

In some embodiments, the second analysis unit 302 may first perform a summary analysis on the real-time operation information of various devices in the target device. And then, combining the big data to obtain the real-time safety scores of various devices. Then, the second analysis unit 302 may determine the first real-time safety index of the power system according to the real-time safety scores of the various devices in the target device.

In some embodiments, the third analysis unit 303 performs power flow analysis on the power system, and may include at least one of the following: single failure safety principle analysis, three-phase current unbalance analysis, three-phase voltage unbalance analysis and power failure analysis.

In an optional implementation manner of some embodiments, the state analysis unit 304 may determine a weighted average of the historical security index obtained by the first analysis unit 301, the first real-time security index obtained by the second analysis unit 302, and the second real-time security index obtained by the third analysis unit 303. Then, the weighted average is compared with a preset threshold. And then according to the comparison result, whether the power system is in a safe operation state at present is determined.

In some embodiments, the apparatus 300 may further comprise a control unit (not shown in fig. 3). When the abnormal state is determined to be the preset state, the control unit may start a standby power supply line in the power system, and/or control a first power-off device in the power system to perform a power-off operation. The first power-off equipment is used for controlling the power-on and power-off of the production equipment.

It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.

Referring now to fig. 4, a schematic diagram of an electronic device (e.g., the server of fig. 1) 400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring historical operation information of target equipment in the power system, analyzing the historical operation information, and determining historical safety indexes of the power system; the method comprises the steps of obtaining real-time operation information of target equipment, analyzing the real-time operation information, and determining a first real-time safety index of the power system; carrying out power flow analysis on the power system, and determining a second real-time safety index of the power system; analyzing the current operation state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index; in response to determining that the power system is in an abnormal state, generating a prompt.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first analyzing unit, a second analyzing unit, a third analyzing unit, a state analyzing unit, and a generating unit. The names of the units do not form a limitation on the units themselves in some cases, for example, the first analysis unit may also be described as a "unit that analyzes historical operation information to determine historical safety indexes of the power system".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A monitoring information generation method comprises the following steps:

acquiring historical operation information of target equipment in an electric power system, analyzing the historical operation information, and determining a historical safety index of the electric power system;

acquiring real-time operation information of the target equipment, analyzing the real-time operation information, and determining a first real-time safety index of the power system;

carrying out power flow analysis on the power system, and determining a second real-time safety index of the power system;

analyzing the current operation state of the power system according to the historical safety index, the first real-time safety index and the second real-time safety index;

in response to determining that the power system is in an abnormal state, generating a prompt.

2. The method of claim 1, wherein the analyzing historical operating information to determine historical safety metrics for the power system comprises:

summarizing and analyzing historical operation information of various devices in the target device, and combining big data to obtain historical safety scores of the various devices;

and determining historical safety indexes of the power system according to historical safety scores of various devices in the target device.

3. The method of claim 2, wherein the summarizing and analyzing historical operating information of various types of devices in the target device comprises:

for each equipment in each class of equipment, determining the evaluation score of the equipment by adopting a corresponding evaluation formula according to historical operation information, wherein,

the evaluation score of the transformer equipment is related to the rated available years, the used years, the accumulated total fault duration and the accumulated total operation duration;

the evaluation score of the motor equipment is related to the maximum operation time of one-time starting, the actual operation time of each starting, the starting times, the total accumulated fault time and the effective warning times.

4. The method of claim 1, wherein the analyzing the real-time operational information to determine a first real-time safety indicator of the power system comprises:

summarizing and analyzing the real-time operation information of various devices in the target device, and combining big data to obtain real-time safety scores of the various devices;

and determining a first real-time safety index of the power system according to the real-time safety scores of various devices in the target device.

5. The method of claim 1, wherein the power flow analysis of the power system comprises at least one of: single failure safety principle analysis, three-phase current unbalance analysis, three-phase voltage unbalance analysis and power failure analysis.

6. The method of claim 1, wherein said analyzing a current operating state of the power system from the historical safety metrics, the first real-time safety metrics, and the second real-time safety metrics comprises:

determining a weighted average of the historical security index, the first real-time security index, and the second real-time security index;

and comparing the weighted average value with a preset threshold value, and determining whether the power system is in a safe operation state currently according to a comparison result.

7. The method according to one of claims 1-6, wherein the method further comprises:

in response to the abnormal state is determined to be a preset state, starting a standby power supply line in the power system, and/or controlling a first power-off device in the power system to execute power-off operation, wherein the first power-off device is used for controlling power-on and power-off of production equipment.

8. A monitoring information generating apparatus comprising:

the system comprises a first analysis unit, a second analysis unit and a control unit, wherein the first analysis unit is configured to acquire historical operation information of target equipment in an electric power system, analyze the historical operation information and determine a historical safety index of the electric power system;

the second analysis unit is configured to acquire real-time operation information of the target equipment, analyze the real-time operation information and determine a first real-time safety index of the power system;

the third analysis unit is configured to perform power flow analysis on the power system and determine a second real-time safety index of the power system;

a state analysis unit configured to analyze a current operating state of the power system according to the historical safety index, the first real-time safety index, and the second real-time safety index;

a generation unit configured to generate a prompt message in response to determining that the power system is in an abnormal state.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.