A normal pressure sealed air insulated switch cabinet and its control method

Abstract

The present invention relates to the field of switchgear technology and provides a normal-pressure sealed air-insulated switchgear and a control method thereof. The switchgear comprises: a first data feature extraction module for acquiring basic data and extracting basic data feature values; a first level acquisition module for classifying the operating status of the switchgear electrical units into different levels; a second data feature extraction module for acquiring instruction data and extracting instruction data feature values ​​and instruction objects from the instruction data; a second level acquisition module for acquiring the instruction level of a potential operator; and a control module for controlling the operating status of the switchgear electrical units. The present invention combines the state level of the operating status of the switchgear electrical units, the instruction level of a potential operator, and the instruction object to control the operating status of the switchgear electrical units, thereby significantly improving the overall intelligence level.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinets, and in particular to a normal pressure sealed air insulated switch cabinet and a control method thereof. Background Art

[0002] A switchgear is a type of electrical equipment. External wiring in the switchgear first enters the main control switch inside the cabinet, then flows to the sub-control switches. Each branch is configured as needed, such as instruments, automatic controls, motor magnetic switches, AC contactors, and so on. Some systems also have high-voltage and low-voltage switchgear compartments, as well as high-voltage busbars (such as in power plants). The primary function of a switchgear is to open and close, control, and protect electrical equipment during the power generation, transmission, distribution, and energy conversion processes of a power system. The components within the switchgear primarily consist of circuit breakers, disconnectors, load switches, operating mechanisms, transformers, and various protective devices.

[0003] In the existing control method of atmospheric pressure sealed air insulated switchgear, the operator's identity information is generally identified through visual recognition technology, and then the content of the operation ticket or the instructions entered by the operator are identified, and then the operating status of the corresponding internal electrical unit is controlled.

[0004] However, the existing control method for atmospheric-pressure sealed air-insulated switchgear requires the relevant operator to stand in front of the switchgear to complete the control of the operating status of the corresponding switchgear electrical unit. It is unable to complete the control of the operating status of the corresponding electrical unit according to the content of the operator's instructions when the operator is close to the switchgear, and the overall intelligence level needs to be improved. Summary of the Invention

[0005] In order to solve the problems existing in the above-mentioned existing normal-pressure sealed air-insulated switchgear control method, the present application provides a normal-pressure sealed air-insulated switchgear and a control method thereof, which combines the status level of the operating status of the switchgear electrical unit, the instruction level of the potential operator and the instruction object to control the operating status of the switchgear electrical unit. There is no need for the operator to stand in front of the switchgear to control the operating status of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0006] The atmospheric pressure sealed air insulated switchgear comprises:

[0007] A first data feature extraction module is used to obtain basic data related to the operating status of the switch cabinet electrical unit and extract basic data feature values ​​from the basic data;

[0008] A first level acquisition module is used to classify the operating status of the switch cabinet electrical unit according to the basic data characteristic value;

[0009] A second data feature extraction module is used to obtain command data of potential operators within a preset radius of the switch cabinet, and extract command data feature values ​​and command objects from the command data;

[0010] A second level acquisition module is used to acquire the instruction level of the potential operator according to the characteristic value of the instruction data;

[0011] a control module, configured to control an operating state of a switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object, and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level;

[0012] The instruction data includes instruction data characteristic values ​​and instruction objects.

[0013] The atmospheric sealed air insulated switchgear controls the operating status of the corresponding switchgear electrical units by combining the status level of the operating status of the switchgear electrical units, the instruction level of the potential operator and the instruction object, so as to match the operating status of the target switchgear electrical units with the instruction level and the status level. On the one hand, the actual operating status of the switchgear is taken into consideration, so that the control of the operating status of the electrical units is more in line with the actual situation. On the other hand, there is no need for the operator to stand in front of the switchgear to control the operating status of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0014] Preferably, the first level acquisition module includes:

[0015] A prediction data calculation unit, configured to calculate a prediction data characteristic value for the next preset time period based on the historical data characteristic value;

[0016] An early warning coefficient calculation unit, configured to calculate an early warning coefficient based on a real-time data characteristic value, an early warning data characteristic threshold, and the predicted data characteristic value;

[0017] A grading unit, configured to grade the operating status of the switch cabinet electrical unit according to the warning coefficient;

[0018] The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values.

[0019] Preferably, the second level acquisition module includes:

[0020] an authority coefficient obtaining unit, configured to obtain the authority coefficient of the potential operator according to the characteristic value of the instruction data;

[0021] An instruction weight coefficient acquisition unit, configured to acquire an instruction weight coefficient according to the instruction data characteristic value;

[0022] An instruction level acquisition unit is used to acquire the instruction level of the potential operator according to the authority coefficient and the instruction weight coefficient.

[0023] The present invention also provides a method for controlling a normal pressure sealed air insulated switchgear, which comprises the following steps:

[0024] Acquiring basic data related to the operating status of the switch cabinet electrical unit, and extracting basic data feature values ​​from the basic data;

[0025] Classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value;

[0026] Acquire command data of potential operators within a preset radius of the switch cabinet, and extract command data feature values ​​and command objects from the command data;

[0027] Obtaining the instruction level of the potential operator according to the instruction data characteristic value;

[0028] controlling the operating state of the switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object, and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level;

[0029] The instruction data includes instruction data characteristic values ​​and instruction objects.

[0030] Preferably, the specific method of classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value comprises the following steps:

[0031] Calculate the predicted data characteristic value for the next preset time period based on the historical data characteristic value;

[0032] Calculate the warning coefficient based on the real-time data characteristic value, the warning data characteristic threshold value and the predicted data characteristic value;

[0033] Classifying the operating status of the electrical unit of the switch cabinet according to the warning coefficient;

[0034] The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values.

[0035] Preferably, the specific method of obtaining the instruction level of the potential operator according to the instruction data characteristic value includes the following steps:

[0036] Obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data;

[0037] Obtaining an instruction weight coefficient according to the instruction data characteristic value;

[0038] The instruction level of the potential operator is obtained according to the authority coefficient and the instruction weight coefficient.

[0039] Preferably, the specific method of obtaining the instruction weight coefficient according to the instruction data characteristic value includes the following steps:

[0040] Obtaining a spatial distance between the potential operator and the switch cabinet;

[0041] Obtaining the instruction direction degree of the potential operator;

[0042] Obtaining a correlation between the characteristic value of the instruction data and the switch cabinet;

[0043] The instruction weight coefficient is calculated according to the spatial distance, the instruction pointing degree and the correlation degree.

[0044] Preferably, the specific method of obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data includes the following steps:

[0045] extracting identity information representing the identity of the potential operator from the instruction data feature value;

[0046] The authority coefficient of the potential operator is obtained according to the identity information. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but rather the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0048] Figure 1 This is a schematic diagram of the overall process of a control method for a normal pressure sealed air insulated switchgear according to one embodiment of the present invention;

[0049] Figure 2 1 is a flow chart of a specific method for classifying the operating status of the electrical unit of the switch cabinet according to an embodiment of the present invention;

[0050] Figure 3 is a flowchart of a specific method for obtaining the instruction level of the potential operator in one embodiment of the present invention;

[0051] Figure 4 1 is a flow chart of a specific method for obtaining an instruction weight coefficient according to the instruction data characteristic value in one embodiment of the present invention;

[0052] Figure 5This is a schematic diagram of the overall structure of a normal pressure sealed air insulated switchgear in one embodiment of the present invention. Figure 1 ;

[0053] Figure 6 1 is an outline diagram of an outdoor box in one embodiment of the present invention.

[0054] Reference numerals: 1. housing; 2. top cover; 3. base. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and do not limit the scope of protection of the present invention.

[0056] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly attached to the other element or there may be an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only implementation methods.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0058] Example 1:

[0059] With the development of intelligent technology, switchgear control systems are increasingly integrated with these technologies, leading to the emergence of various intelligent switchgear control systems and methods. These control systems and methods can control the operating status of electrical units within the switchgear, such as circuit breakers, relays, lighting equipment, contactors, and disconnectors, by acquiring and analyzing relevant information data, such as operator identity and / or operation ticket content. One existing control method for atmospheric-sealed air-insulated switchgear identifies the operator's identity information, then identifies the operation ticket content or instructions entered by the operator, and then controls the operating status of the corresponding internal electrical units.

[0060] However, the above-mentioned normal pressure sealed air insulated switchgear control method requires the relevant operator to stand in front of the switchgear to complete the control of the operating status of the corresponding switchgear electrical unit. It is impossible to complete the control of the operating status of the corresponding electrical unit according to the content of the instruction when the operator is close to the switchgear and at a certain distance (that is, not standing in front of the switchgear).

[0061] It often takes time for operators to reach the switchgear from a certain distance. For example, if the switchgear is located on the second floor, it takes a considerable amount of time for operators to get there. Consequently, for certain electrical units requiring urgent operational control, existing control methods for atmospheric sealed air-insulated switchgear cannot quickly respond to operator commands, slowing the switchgear's response speed and leaving room for improvement in its overall intelligence.

[0062] One of the purposes of this embodiment is to solve the problems existing in the above-mentioned prior art and provide a control method for a normal pressure sealed air insulated switch cabinet, such as Figure 1 As shown, it includes the following steps:

[0063] S1, acquiring basic data related to the operating status of the electrical unit of the switch cabinet, and extracting basic data feature values ​​from the basic data.

[0064] The basic data that affect or are related to the operating status of the switchgear electrical units include but are not limited to current, voltage, vibration, environmental parameters, and sound patterns. Environmental parameters include ambient temperature and humidity, ambient noise, etc., which will affect the operating status of each electrical unit in the switchgear. For example, too high ambient temperature and humidity may cause partial discharge or short circuit in some electrical components. Environmental noise, especially high-frequency noise, may interfere with the normal operation of the electrical units, resulting in unstable signal transmission and even failures. Vibration may affect the mechanical properties of electrical components such as circuit breakers and disconnectors, resulting in inaccurate opening and closing of the switches. As for data such as current and voltage, they can more directly and clearly characterize the operating status of the electrical units.

[0065] By acquiring basic data related to the operating status of the switch cabinet electrical units and extracting basic data characteristic values ​​from the basic data, the basic data characteristic values ​​can be used to analyze the real-time operating status of various electrical components in the switch cabinet and the predicted operating status that will appear next.

[0066] S2, classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value.

[0067] By analyzing the characteristic values ​​of these basic data, the real-time operating status of various electrical components within the switchgear and their predicted upcoming operating status can be determined. This allows the operating status of the switchgear's electrical units to be determined, and their status levels can be classified into normal operating status, early warning status, and alarm status. Alarm status can be further categorized into three levels: low, medium, and high, depending on the needs.

[0068] As a preferred technical solution, Figure 2As shown, in step S2, the specific method of classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value includes the following steps:

[0069] S21, calculating the predicted data characteristic value for the next preset time period based on the historical data characteristic value.

[0070] Here, a data characteristic value function curve can be obtained by curve fitting the historical data characteristic values, and then the predicted data characteristic values ​​for the next preset time period can be obtained based on the data characteristic function curve. Preferably, based on big data technology, a neural network model for obtaining the predicted data characteristic values ​​for the next preset time period is constructed, the neural network model is trained using the basic data characteristic values ​​of basic data related to the operating status of the switchgear electrical unit, and the trained neural network model is used to obtain the predicted data characteristic values ​​for the next preset time period.

[0071] S22, based on the real-time data characteristic value RDC and the warning data characteristic threshold PDC TH And the predicted data characteristic value PDC calculates the warning coefficient. Specifically, the warning coefficient Among them, a1 and a2 represent the warning proportional factors corresponding to the real-time data characteristic value and the predicted data characteristic value, respectively, which can be adjusted and set by technical personnel, and e represents a natural constant.

[0072] Combined with real-time data characteristic value RDC and warning data characteristic threshold PDC TH And the predicted data characteristic value PDC is used to calculate the warning coefficient, and corresponding warning proportional factors are set for the real-time data characteristic value RDC and the predicted data characteristic value PDC. The warning coefficient is associated with the real-time data characteristic value and the predicted data characteristic value, so that a more objective and accurate warning coefficient can be obtained.

[0073] S23, classifying the operating status of the electrical unit of the switch cabinet according to the warning coefficient.

[0074] The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values.

[0075] A warning coefficient threshold and an alarm coefficient threshold are set, and the operating status of the switch cabinet electrical unit is divided into status levels by comparing the warning coefficient with the warning coefficient threshold and the alarm coefficient threshold.

[0076] It should be noted that each type of basic data characteristic value corresponds to a warning coefficient and an alarm coefficient threshold. The warning coefficients corresponding to different types of basic data characteristic values ​​are not necessarily the same. When comparing the warning coefficients with the warning coefficient thresholds and the alarm coefficient thresholds, the warning coefficient corresponding to each type of basic data characteristic value is compared with the corresponding warning coefficient thresholds and the alarm coefficient thresholds. If all are less than the warning coefficient thresholds, the switchgear is judged to be in normal operation. If they are greater than or equal to the warning coefficient thresholds and less than the alarm coefficient thresholds, the switchgear is judged to be in a warning state. Otherwise, the switchgear is judged to be in an alarm state.

[0077] S3, obtaining instruction data of potential operators within a preset radius of the switch cabinet, and extracting instruction data feature values ​​and instruction objects from the instruction data.

[0078] The so-called potential operator refers to a target object that enters the preset radius of the switch cabinet and may operate the switch cabinet. It can be determined whether the target object is a potential operator by obtaining information that can characterize the identity information of the target object. For example, visual recognition technology can be used to obtain the facial image of the target object, and its identity information can be identified by recognizing the facial image and compared with the pre-stored operator identity information to determine whether the target object is a potential operator. Alternatively, its voiceprint feature information can be obtained and based on the voiceprint feature information, it can be determined whether the target object is a potential operator.

[0079] The command data includes, but is not limited to, body movement commands and voice commands. The method for extracting the command object from the command data is to extract the command data feature value from the command data and extract the command object based on the command data feature value. Specifically, different command data feature values ​​can be preset for different command objects, and the command object can be extracted by comparing the command data feature value extracted from the command data with the preset command data feature value to determine the degree of match.

[0080] The command objects include but are not limited to electrical units in the switch cabinet, such as circuit breakers, contactors, and disconnectors. More specifically, if the command data is a voice command, keywords in the voice command can be extracted as command data feature values, and specific command objects can be extracted based on the keywords.

[0081] S4, obtaining the instruction level of the potential operator according to the characteristic value of the instruction data.

[0082] Preferably, if Figure 3 As shown, in step S4, the specific method of obtaining the instruction level of the potential operator according to the instruction data characteristic value includes the following steps:

[0083] S41, obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data.

[0084] Information data that can characterize the identity of the potential operator, such as facial image features and / or voiceprint features, is extracted from the characteristic values ​​of the instruction data, and the authority coefficient of the potential operator is obtained based on the information data that characterizes the identity of the potential operator.

[0085] Specifically, the control system stores information about potential operators and their authority coefficients, which can be set by technicians or the highest-level switchgear manager.

[0086] S42: Obtaining a command weight coefficient based on the command data characteristic value. Extracting key information that can characterize the command weight coefficient from the command data characteristic value includes, but is not limited to, keywords in voice commands and specific body postures in body movement commands. Alternatively, different key information used to characterize the command weight coefficient may be assigned a corresponding command weight coefficient.

[0087] As for how to extract information data representing the identity of potential operators and key information representing instruction weight coefficients, it belongs to conventional technical means in this field and will not be elaborated here.

[0088] S43: Obtain the command level of the potential operator based on the authority coefficient and the command weight coefficient. Command level = authority coefficient * a3 + command weight coefficient * a4. a3 and a4 are weight adjustment proportional factors set by technicians.

[0089] The instruction level of the potential operator is obtained through the potential operator's authority coefficient and instruction weight coefficient, which takes into account both the identity information of the potential operator and the weight of the instruction actually issued by the potential operator, and can obtain an instruction level that is more in line with the actual switchgear operation rules.

[0090] S5, controlling the operating state of the switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level.

[0091] The instruction data includes instruction data characteristic values ​​and instruction objects.

[0092] The instruction object is specifically targeted at the switchgear electrical unit to be operated. The instruction level is combined with the status level to control the operating status of the switchgear electrical unit corresponding to the instruction object. The authority of the potential operator, the instruction level and the actual operating status of the switchgear electrical unit are comprehensively considered, making the control of the operating status of the electrical unit more practical, avoiding misoperation and improving the overall intelligence level.

[0093] In summary, the atmospheric sealed air insulated switchgear control method controls the operating status of the corresponding switchgear electrical unit by combining the status level of the operating status of the switchgear electrical unit, the instruction level of the potential operator and the instruction object. The operating status of the target switchgear electrical unit can be matched with the instruction level and the status level. On the one hand, the actual operating status of the switchgear is taken into account, so that the control of the operating status of the electrical unit is more in line with the actual situation. On the other hand, there is no need for the operator to stand in front of the switchgear to control the operating status of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0094] Example 2:

[0095] This embodiment provides a method for controlling a normal pressure sealed air insulated switch cabinet. Figure 1 As shown, it includes the following steps:

[0096] S1, acquiring basic data related to the operating status of the electrical unit of the switch cabinet, and extracting basic data feature values ​​from the basic data.

[0097] The basic data that affect or are related to the operating status of the switchgear electrical units include but are not limited to current, voltage, vibration, environmental parameters, and sound patterns. Environmental parameters include ambient temperature and humidity, ambient noise, etc., which will affect the operating status of each electrical unit in the switchgear. For example, too high ambient temperature and humidity may cause partial discharge or short circuit in some electrical components. Environmental noise, especially high-frequency noise, may interfere with the normal operation of the electrical units, resulting in unstable signal transmission and even failures. Vibration may affect the mechanical properties of electrical components such as circuit breakers and disconnectors, resulting in inaccurate opening and closing of the switches. As for data such as current and voltage, they can more directly and clearly characterize the operating status of the electrical units.

[0098] By acquiring basic data related to the operating status of the switch cabinet electrical units and extracting basic data characteristic values ​​from the basic data, the basic data characteristic values ​​can be used to analyze the real-time operating status of various electrical components in the switch cabinet and the predicted operating status that will appear next.

[0099] S2, classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value.

[0100] By analyzing the characteristic values ​​of these basic data, the real-time operating status of various electrical components within the switchgear and their predicted upcoming operating status can be determined. This allows the switchgear's operating status to be determined, and its status can be classified into normal operating status, warning status, and alarm status. The alarm status can be further classified into three levels: low, medium, and high, depending on the needs.

[0101] As a preferred technical solution, Figure 2 As shown, in step S2, the specific method of classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value includes the following steps:

[0102] S21, calculating the predicted data characteristic value for the next preset time period based on the historical data characteristic value.

[0103] Here, a data characteristic value function curve can be obtained by curve fitting the historical data characteristic values, and then the predicted data characteristic values ​​for the next preset time period can be obtained based on the data characteristic function curve. Preferably, based on big data technology, a neural network model for obtaining the predicted data characteristic values ​​for the next preset time period is constructed, the neural network model is trained using the basic data characteristic values ​​of basic data related to the operating status of the switchgear electrical unit, and the trained neural network model is used to obtain the predicted data characteristic values ​​for the next preset time period.

[0104] S22, based on the real-time data characteristic value RDC and the warning data characteristic threshold PDC TH And the predicted data characteristic value PDC calculates the warning coefficient. Specifically, the warning coefficient Among them, a1 and a2 represent the warning proportional factors corresponding to the real-time data characteristic value and the predicted data characteristic value, respectively, which can be adjusted and set by technical personnel, and e represents a natural constant.

[0105] Combined with real-time data characteristic value RDC and warning data characteristic threshold PDC TH And the predicted data characteristic value PDC is used to calculate the warning coefficient, and corresponding warning proportional factors are set for the real-time data characteristic value RDC and the predicted data characteristic value PDC. The warning coefficient is associated with the real-time data characteristic value and the predicted data characteristic value, so that a more objective and accurate warning coefficient can be obtained.

[0106] S23, classifying the operating status of the electrical unit of the switch cabinet according to the warning coefficient.

[0107] The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values.

[0108] A warning coefficient threshold and an alarm coefficient threshold are set, and the operating status of the switch cabinet electrical unit is divided into status levels by comparing the warning coefficient with the warning coefficient threshold and the alarm coefficient threshold.

[0109] It should be noted that each type of basic data characteristic value corresponds to a warning coefficient and an alarm coefficient threshold. The warning coefficients corresponding to different types of basic data characteristic values ​​are not necessarily the same. When comparing the warning coefficients with the warning coefficient thresholds and the alarm coefficient thresholds, the warning coefficient corresponding to each type of basic data characteristic value is compared with the corresponding warning coefficient thresholds and the alarm coefficient thresholds. If all are less than the warning coefficient thresholds, the switchgear is judged to be in normal operation. If they are greater than or equal to the warning coefficient thresholds and less than the alarm coefficient thresholds, the switchgear is judged to be in a warning state. Otherwise, the switchgear is judged to be in an alarm state.

[0110] S3, obtaining instruction data of potential operators within a preset radius of the switch cabinet, and extracting instruction data feature values ​​and instruction objects from the instruction data.

[0111] The so-called potential operator refers to a target object that enters the preset radius of the switch cabinet and may operate the switch cabinet. It can be determined whether the target object is a potential operator by obtaining information that can characterize the identity information of the target object. For example, visual recognition technology can be used to obtain the facial image of the target object, and its identity information can be identified by recognizing the facial image and compared with the pre-stored operator identity information to determine whether the target object is a potential operator. Alternatively, its voiceprint feature information can be obtained and based on the voiceprint feature information, it can be determined whether the target object is a potential operator.

[0112] The command data includes, but is not limited to, body movement commands and voice commands. The method for extracting the command object from the command data is to extract the command data feature value from the command data and extract the command object based on the command data feature value. Specifically, different command data feature values ​​can be preset for different command objects, and the command object can be extracted by comparing the command data feature value extracted from the command data with the preset command data feature value to determine the degree of match.

[0113] The command objects include but are not limited to electrical units within the switchgear, such as circuit breakers, contactors, and disconnectors. More specifically, if the command data is a voice command, keywords in the voice command can be extracted as command data feature values, and specific command objects can be extracted based on the keywords.

[0114] S4, obtaining the instruction level of the potential operator according to the characteristic value of the instruction data.

[0115] Preferably, if Figure 3 As shown, in step S4, the specific method of obtaining the instruction level of the potential operator according to the instruction data characteristic value includes the following steps:

[0116] S41, obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data.

[0117] Preferably, the specific method for obtaining the authority coefficient of the potential operator based on the characteristic value of the instruction data includes the following steps: extracting identity information representing the identity of the potential operator from the characteristic value of the instruction data; and obtaining the authority coefficient of the potential operator based on the identity information.

[0118] Information data that can characterize the identity of the potential operator, such as facial image features and / or voiceprint features, is extracted from the characteristic values ​​of the instruction data, and the authority coefficient of the potential operator is obtained based on the information data that characterizes the identity of the potential operator.

[0119] Specifically, the control system stores information about potential operators and their authority coefficients, which can be set by technicians or the highest-level switchgear manager.

[0120] S42: Obtain an instruction weight coefficient according to the instruction data characteristic value.

[0121] As a preferred technical solution, key information that can characterize the instruction weight coefficient is extracted from the instruction data feature value, including but not limited to keywords in voice instructions and specific body postures in body movement instructions. Here, different key information used to characterize the instruction weight coefficient can also be assigned corresponding instruction weight coefficients.

[0122] As for how to extract information data representing the identity of potential operators and key information representing instruction weight coefficients, it belongs to conventional technical means in this field and will not be elaborated here.

[0123] S43: Obtain the command level of the potential operator based on the authority coefficient and the command weight coefficient. Command level = authority coefficient * a3 + command weight coefficient * a4. a3 and a4 are weight adjustment proportional factors set by technicians.

[0124] The instruction level of the potential operator is obtained through the potential operator's authority coefficient and instruction weight coefficient, which takes into account both the identity information of the potential operator and the weight of the instruction actually issued by the potential operator, and can obtain an instruction level that is more in line with the actual switchgear operation rules.

[0125] S5, controlling the operating state of the switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level.

[0126] The instruction data includes instruction data characteristic values ​​and instruction objects.

[0127] The instruction object is specifically targeted at the switchgear electrical unit to be operated. The instruction level is combined with the status level to control the operating status of the switchgear electrical unit corresponding to the instruction object. The authority of the potential operator, the instruction level and the actual operating status of the switchgear are comprehensively considered, making the control of the operating status of the electrical unit more practical, avoiding misoperation and improving the overall intelligence level.

[0128] In summary, the atmospheric sealed air insulated switchgear control method controls the operating status of the corresponding switchgear electrical unit by combining the status level of the operating status of the switchgear electrical unit, the instruction level of the potential operator and the instruction object. The operating status of the target switchgear electrical unit can be matched with the instruction level and the status level. On the one hand, the actual operating status of the switchgear is taken into account, so that the control of the operating status of the electrical unit is more in line with the actual situation. On the other hand, there is no need for the operator to stand in front of the switchgear to control the operating status of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0129] This embodiment also provides a normal pressure sealed air insulated switch cabinet, such as Figure 5 As shown, it includes a first data feature extraction module, a first level acquisition module, a second data feature extraction module, a second level acquisition module and a control module.

[0130] like Figure 6 As shown, the atmospheric-sealed air-insulated switchgear is installed in an outdoor box, which includes a housing 1, a top cover 2, and a base 3. The housing 1, top cover 2, and base 3 enclose a space for installing the atmospheric-sealed air-insulated switchgear, which includes at least one switchgear electrical unit.

[0131] The first data feature extraction module, the first level acquisition module, the second data feature extraction module, the second level acquisition module and the control module are installed in the housing 1 .

[0132] The first data feature extraction module is used to obtain basic data related to the operating status of the switch cabinet electrical unit and extract basic data feature values ​​from the basic data; the first level acquisition module is used to classify the operating status of the switch cabinet electrical unit according to the basic data feature values.

[0133] The second data feature extraction module is used to obtain the instruction data of potential operators within a preset radius of the switch cabinet, and extract the instruction data feature value and instruction object in the instruction data; the second level acquisition module is used to obtain the instruction level of the potential operator based on the instruction data feature value.

[0134] The control module is used to control the operating state of the switch cabinet electrical unit corresponding to the instruction object according to the instruction level, the instruction object and the status level, so that the operating state of the switch cabinet electrical unit corresponding to the instruction object matches the instruction level and the status level.

[0135] The switch cabinet electrical units include but are not limited to circuit breakers, relays, lighting equipment, contactors and disconnectors. Since the installation method and specific structure of switch cabinet electrical units such as circuit breakers and relays in the switch cabinet belong to conventional technical means in the field, they will not be described in detail here.

[0136] For the same instruction object, if instruction data of multiple potential operators appear at the same time, the instruction level of the highest potential operator is selected first to realize the control of the operating state of the switch cabinet electrical unit corresponding to the instruction object.

[0137] Making the operating state of the switchgear electrical unit corresponding to the instruction object match the instruction level and the state level means that: based on the state level of the electrical unit, the instruction level of the potential operator conforms to the switching of the operating state of the switchgear electrical unit corresponding to the instruction object. For example, if the instruction level of the potential operator is divided into multiple levels such as A, B, C, D, etc. from low to high, level A corresponds to the state switching of the switchgear electrical unit in the normal operating state, such as the opening and closing of a circuit breaker or disconnector, level B corresponds to the state switching of the switchgear electrical unit in the warning state, such as from closing to opening, level C corresponds to the state switching of the electrical unit in the warning state, such as from opening to closing, etc., level D corresponds to the opening and closing of the electrical unit in the alarm state... Based on the instruction level of the potential operator and the state level of the electrical unit, the switching of the operating state of the switchgear electrical unit corresponding to the instruction object is controlled.

[0138] The instruction data includes instruction data characteristic values ​​and instruction objects.

[0139] Preferably, the first level acquisition module includes a prediction data calculation unit, a warning coefficient calculation unit and a level classification unit.

[0140] The prediction data calculation unit is used to calculate the prediction data characteristic value of the next preset time period based on the historical data characteristic value; the warning coefficient calculation unit is used to calculate the warning coefficient based on the real-time data characteristic value, the warning data characteristic threshold and the prediction data characteristic value; the level classification unit is used to classify the operating status of the switch cabinet electrical unit according to the warning coefficient.

[0141] The second level acquisition module includes an authority coefficient acquisition unit, an instruction weight coefficient acquisition unit and an instruction level acquisition unit.

[0142] The authority coefficient acquisition unit is used to obtain the authority coefficient of the potential operator based on the characteristic value of the instruction data; the instruction weight coefficient acquisition unit is used to obtain the instruction weight coefficient based on the characteristic value of the instruction data; and the instruction level acquisition unit is used to obtain the instruction level of the potential operator based on the authority coefficient and the instruction weight coefficient.

[0143] The atmospheric sealed air insulated switchgear controls the operating status of the corresponding switchgear electrical units by combining the status level of the operating status of the switchgear electrical units, the instruction level of the potential operator and the instruction object, so as to match the operating status of the target switchgear electrical units with the instruction level and the status level. On the one hand, the actual operating status of the switchgear is taken into consideration, so that the control of the operating status of the electrical units is more in line with the actual situation. On the other hand, there is no need for the operator to stand in front of the switchgear to control the operating status of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0144] This embodiment also provides a normal-pressure sealed air-insulated switchgear control device, which includes: a controller; a memory storing executable instructions; wherein the executable instructions can be run on the controller and implement the normal-pressure sealed air-insulated switchgear control method.

[0145] This embodiment also provides a computer-readable storage medium storing a computer program, which implements the control method of the atmospheric-pressure sealed air-insulated switchgear when executed by a processor.

[0146] Example 3:

[0147] It should be understood that this embodiment at least includes all the technical features of the above embodiments, and is further elaborated on the basis of the above embodiments.

[0148] In this embodiment, if Figure 4 As shown, the specific method of obtaining the instruction weight coefficient according to the instruction data characteristic value in step S42 includes the following steps:

[0149] S421: Obtain a spatial distance d between the potential operator and the switch cabinet.

[0150] The spatial distance can be calculated by obtaining the actual positioning information of the potential operator and the switch cabinet. For example, the coordinates of the switch cabinet are pre-calibrated, and the spatial distance is calculated by combining the actual positioning information of the two through a smart device (smart bracelet, smart phone, etc.) that can obtain the actual positioning information of the potential operator. Of course, multiple monitoring devices such as video surveillance, audio receivers, etc. for detecting the position of potential operators can also be set within the preset radius of the switch cabinet to obtain the potential operator's actual position and the potential operator's instruction data at the same time. Generally speaking, the closer the spatial distance between the potential operator and the switch cabinet, the greater the instruction weight coefficient of the characteristic value of its instruction data, and the more likely it is that it wants to manipulate the operating status of the electrical components of the switch cabinet.

[0151] S422: Obtain the instruction pointing degree f of the potential operator.

[0152] The degree of instruction pointing is obtained by obtaining key information in the characteristic value of the instruction data. That is, the key information in different characteristic values ​​of the instruction data corresponds to different degrees of instruction pointing. The degree of instruction pointing is mainly used to indicate the degree to which the instruction data issued by the potential operator is directed at the target switch cabinet, and to determine whether the instruction data obtained by the potential operator is mainly directed at the target switch cabinet, intending to control the operating status of the electrical components of the switch cabinet, or is just an ordinary unintentional issuance, not intended to manipulate the electrical components. By obtaining the degree of instruction pointing, the instruction weight coefficient can be associated with the control switching of the operating status of the electrical components of the target switch cabinet, thereby improving the accuracy of the control of the operating status of the electrical components.

[0153] S423: Obtain a correlation r between the characteristic value of the command data and the switch cabinet.

[0154] The specific method for obtaining the correlation degree includes: presetting a plurality of key data characteristic values ​​for switching the operating status of electrical components (such as keywords "open", "close", "stop", "start", etc.), and assigning different correlation values ​​to the key data characteristic values ​​under different operating statuses, then judging the actual operating status of the current electrical component, extracting the key data characteristic values ​​from the instruction data characteristic values, respectively calculating the correlation values ​​between the instruction data characteristic values ​​and each electrical component in the switch cabinet, and finally calculating the average value or weighted average value of each correlation value obtained as the correlation degree. The significance of the correlation degree is to associate the actual operating status of the electrical component with the operator's instruction data, improve the recognition accuracy of the operator's instruction data, and avoid the problem of instruction operations that do not conform to the actual operating status of the electrical component.

[0155] S424, calculating the instruction weight coefficient according to the spatial distance, the instruction pointing degree and the correlation degree Among them, α, β, and δ are corresponding adjustment coefficients that can be set by technical personnel, and D represents the preset radius.

[0156] The instruction weight coefficient is calculated by the spatial distance, the instruction directionality and the correlation, which comprehensively considers the distance between the potential operator and the switch cabinet, the directionality of the instruction data issued by the potential operator and the correlation between the instruction data and the actual operating status of the electrical components. The instruction weight coefficient can be obtained more objectively and accurately, thereby improving the accuracy and intelligence of the control of the electrical components of the switch cabinet.

[0157] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A normal pressure sealed air insulated switchgear, characterized in that: The atmospheric pressure sealed air insulated switchgear comprises: A first data feature extraction module is used to obtain basic data related to the operating status of the switch cabinet electrical unit and extract basic data feature values ​​from the basic data; A first level acquisition module is used to classify the operating status of the switch cabinet electrical unit according to the basic data characteristic value; A second data feature extraction module is used to obtain command data of potential operators within a preset radius of the switch cabinet, and extract command data feature values ​​and command objects from the command data; A second level acquisition module is used to acquire the instruction level of the potential operator according to the characteristic value of the instruction data; a control module, configured to control an operating state of a switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object, and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level; Wherein, the instruction data includes instruction data characteristic value and instruction object; The first level acquisition module includes: A prediction data calculation unit, configured to calculate a prediction data characteristic value for the next preset time period based on the historical data characteristic value; The early warning coefficient calculation unit is used to calculate the early warning coefficient according to the real-time data characteristic value RDC and the early warning data characteristic threshold PDC. TH And the predicted data characteristic value PDC calculates the warning coefficient; A grading unit, configured to grade the operating status of the switch cabinet electrical unit according to the warning coefficient; The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values, and the warning coefficient a1 and a2 represent the warning proportional factors corresponding to the real-time data characteristic value and the predicted data characteristic value, respectively, which are adjusted and set by technical personnel, and e represents a natural constant.

2. The atmospheric pressure sealed air insulated switchgear according to claim 1, characterized in that: The second level acquisition modules include: an authority coefficient obtaining unit, configured to obtain the authority coefficient of the potential operator according to the characteristic value of the instruction data; An instruction weight coefficient acquisition unit, configured to acquire an instruction weight coefficient according to the instruction data characteristic value; An instruction level acquisition unit is used to acquire the instruction level of the potential operator according to the authority coefficient and the instruction weight coefficient.

3. A control method for a normal pressure sealed air insulated switchgear, characterized in that: The control method of the atmospheric pressure sealed air insulated switchgear comprises the following steps: Acquiring basic data related to the operating status of the switch cabinet electrical unit, and extracting basic data feature values ​​from the basic data; Classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value; Acquire command data of potential operators within a preset radius of the switch cabinet, and extract command data feature values ​​and command objects from the command data; Obtaining the instruction level of the potential operator according to the instruction data characteristic value; controlling the operating state of the switchgear electrical unit corresponding to the instruction object according to the instruction level, the instruction object, and the state level, so that the operating state of the switchgear electrical unit corresponding to the instruction object matches the instruction level and the state level; Wherein, the instruction data includes instruction data characteristic value and instruction object; The specific method for classifying the operating status of the switch cabinet electrical unit according to the basic data characteristic value comprises the following steps: Calculate the predicted data characteristic value for the next preset time period based on the historical data characteristic value; According to the real-time data characteristic value RDC and the warning data characteristic threshold PDC TH And the predicted data characteristic value PDC calculates the warning coefficient; Classifying the operating status of the electrical unit of the switch cabinet according to the warning coefficient; The basic data characteristic values ​​include historical data characteristic values ​​and real-time data characteristic values, and the warning coefficient a1 and a2 represent the warning proportional factors corresponding to the real-time data characteristic value and the predicted data characteristic value, respectively, which are adjusted and set by technical personnel, and e represents a natural constant.

4. The atmospheric pressure sealed air insulated switchgear control method according to claim 3, characterized in that: The specific method for obtaining the instruction level of the potential operator according to the instruction data characteristic value comprises the following steps: Obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data; Obtaining an instruction weight coefficient according to the instruction data characteristic value; The instruction level of the potential operator is obtained according to the authority coefficient and the instruction weight coefficient.

5. The atmospheric pressure sealed air insulated switchgear control method according to claim 4, characterized in that: The specific method for obtaining the instruction weight coefficient according to the instruction data characteristic value includes the following steps: Obtaining a spatial distance between the potential operator and the switch cabinet; Obtaining the instruction direction degree of the potential operator; Obtaining a correlation between the characteristic value of the instruction data and the switch cabinet; The instruction weight coefficient is calculated according to the spatial distance, the instruction pointing degree and the correlation degree.

6. The atmospheric pressure sealed air insulated switchgear control method according to claim 5, characterized in that: The specific method for obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data includes the following steps: extracting identity information representing the identity of the potential operator from the instruction data feature value; The authority coefficient of the potential operator is obtained according to the identity information.

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