Normal-pressure sealed air-insulated switch cabinet and control method thereof

Abstract

The invention relates to the technical field of switch cabinets, and provides a normal-pressure sealed air-insulated switch cabinet and a control method thereof, and the switch cabinet comprises a first data feature extraction module which is used for obtaining basic data and extracting basic data feature values; the first grade obtaining module is used for performing state grade division on the operation state of the electrical unit of the switch cabinet; the second data feature extraction module is used for acquiring instruction data and extracting instruction data feature values and instruction objects in the instruction data; the second grade obtaining module is used for obtaining the instruction grade of the potential operator; and the control module is used for controlling the operation state of the switch cabinet electrical unit. According to the invention, the operating state of the electrical unit of the switch cabinet is controlled by combining the state level of the operating state of the electrical unit of the switch cabinet, the instruction level of the potential operator and the instruction object, so that the overall intelligent degree is greatly improved.

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] The switch cabinet is an electrical equipment. The external line of the switch cabinet first enters the main control switch inside the cabinet, and then enters the sub-control switch. Each branch is set according to its needs, such as instruments, automatic control, motor magnetic switches, AC contactors, etc. Some also have high-voltage room, low-voltage room switch cabinets and high-voltage busbars (such as power plants, etc.). The main function of the switch cabinet is to open and close, control and protect electrical equipment during the power generation, transmission, distribution and energy conversion process of the power system. The components in the switch cabinet are mainly composed of circuit breakers, disconnectors, load switches, operating mechanisms, mutual inductors and various protection 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 of atmospheric pressure sealed air insulated switchgear requires relevant operators to stand in front of the switchgear to complete the control of the operating status of the corresponding electrical units of the switchgear. It is impossible to complete the control of the operating status of the corresponding electrical units according to the content of their instructions when the operator approaches 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 command level of the potential operator and the command 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 switch cabinet 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, used for classifying 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 the instruction data of potential operators within a preset radius of the switch cabinet, and extract instruction data feature values ​​and instruction objects in the instruction data;

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

[0011] a control module, configured 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 state level, so that the operating state of the switch cabinet 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 pressure sealed air insulated switchgear 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 command level of the potential operator and the command object, so that the operating status of the target switchgear electrical unit can be matched with the command 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 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.

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

[0015] A prediction data calculation unit, used to calculate the prediction data characteristic value of the next preset time period according to the historical data characteristic value;

[0016] An early warning coefficient calculation unit, used to calculate the early warning coefficient according to the real-time data characteristic value, the early warning data characteristic threshold value and the predicted data characteristic value;

[0017] A level classification unit, used for classifying the operating status of the electrical unit of the switch cabinet 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 acquisition unit, used for acquiring the authority coefficient of the potential operator according to the characteristic value of the instruction data;

[0021] An instruction weight coefficient acquisition unit, used 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 normal pressure sealed air insulated switch cabinet control method, which comprises the following steps:

[0024] Acquire basic data related to the operating status of the switch cabinet electrical unit, and extract 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] Acquire the instruction level of the potential operator according to the instruction data characteristic value;

[0028] Controlling the operating state of the switch cabinet 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 switch cabinet 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 for 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 according to 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 comprises the following steps:

[0036] Acquire 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 for obtaining the instruction weight coefficient according to the instruction data characteristic value comprises the following steps:

[0040] Acquire the 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 command data characteristic value 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 comprises 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 the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0048] Figure 1 It is a schematic diagram of the overall process of a control method of a normal pressure sealed air insulated switch cabinet in one embodiment of the present invention;

[0049] Figure 2 is a flowchart of a specific method for classifying the operating status of the electrical unit of the switch cabinet in one 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 is a flowchart 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 5The overall structure of a normal pressure sealed air insulated switch cabinet in one embodiment of the present invention is shown in FIG. Figure 1 ;

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

[0054] Figure numerals: 1, outer shell; 2, top cover; 3, base. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution 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 implementation methods described herein are only used to explain the present invention and do not limit the protection scope 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 on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[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] Embodiment 1:

[0059] In the prior art, with the development of intelligent technology, switch cabinet control systems are constantly integrated with intelligent technology, and various intelligent switch cabinet control systems and methods have gradually emerged, which can realize the control of the operating status of electrical units such as circuit breakers, relays, lighting equipment, contactors and disconnectors inside the switch cabinet by acquiring and analyzing corresponding information data such as operator identity and / or operation ticket content. One of the existing control methods for atmospheric sealed air insulated switch cabinets identifies the operator identity information, then identifies the operation ticket content or the instructions input 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 electrical unit of the switchgear. 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 a certain amount of time for an operator to walk from a certain distance away from the switch cabinet to the switch cabinet. For example, when the switch cabinet is set on the second floor, it takes a certain amount of time for an operator to walk from the first floor to the second floor. As a result, for some electrical units that need to urgently control their operating status, the existing control method of the atmospheric sealed air insulated switch cabinet cannot quickly respond to the operator's operating instructions, which reduces the response speed of the switch cabinet to the operator's instructions, and its overall intelligence level needs to be improved.

[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 affects or is related to the operating status of the switchgear electrical units include but are not limited to current, voltage, vibration, environmental parameters, and soundprints. 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, excessively 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 malfunctions. Vibration may affect the mechanical properties of electrical components such as circuit breakers and disconnectors, making it impossible to accurately open and close the switch. 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 unit and extracting basic data characteristic values ​​in 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 basic data characteristic values, the real-time operating status of various electrical components in the switch cabinet and the predicted operating status that will appear next can be analyzed, and the operating status of the electrical unit of the switch cabinet can be judged, that is, its status level can be divided into normal operating status, early warning status and alarm status. For the alarm status, it can be further divided into three levels of low, medium and high alarms according to 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, the data characteristic value function curve can be obtained by curve fitting the historical data characteristic values, and then the predicted data characteristic value of the next preset time period can be obtained according to the data characteristic function curve. Preferably, based on big data technology, a neural network model for obtaining the predicted data characteristic value of the next preset time period is constructed, the neural network model is trained by the basic data characteristic values ​​of the basic data related to the operating status of the switch cabinet electrical unit, and the trained neural network model is used to obtain the predicted data characteristic value of 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 calculates the warning coefficient, sets the corresponding warning proportional factor for the real-time data characteristic value RDC and the predicted data characteristic value PDC, and the warning coefficient is associated with the real-time data characteristic value and the predicted data characteristic value, so as to obtain a more objective and accurate warning coefficient.

[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 electrical unit of the switch cabinet 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 coefficient with the warning coefficient threshold and the alarm coefficient threshold, the warning coefficient corresponding to each type of basic data characteristic value is compared with the corresponding warning coefficient threshold and the alarm coefficient threshold. If they are all less than the warning coefficient threshold, it is judged that the switch cabinet is in a normal operating state. If it is greater than or equal to the warning coefficient threshold and less than the alarm coefficient threshold, it is judged that the switch cabinet is in a warning state. Otherwise, it is judged that the switch cabinet is 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, the facial image of the target object can be obtained by visual recognition technology, 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; or 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 instruction data includes but is not limited to body movement instructions and voice instructions. The method for extracting the instruction object in the instruction data is to extract the instruction data feature value in the instruction data, and extract the instruction object according to the instruction data feature value. Specifically, different instruction data feature values ​​can be preset for different instruction objects, and the instruction object is extracted by comparing the instruction data feature value extracted from the instruction data with the preset instruction data feature value.

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

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

[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 such as facial image features and / or voiceprint features that can characterize the identity of the potential operator are extracted from the instruction data feature values, 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, information data characterizing the identity of potential operators and the authority coefficient of each potential operator are pre-stored in the control system. The authority coefficient can be set by a technician or the highest-level manager of the switch cabinet.

[0086] S42, obtaining a command weight coefficient according to the command data characteristic value. Extract key information that can characterize the command weight coefficient from the command data characteristic value, including but not limited to keywords in the voice command and specific body postures in the body movement command. Here, it is also possible to assign corresponding command weight coefficients to different key information used to characterize the 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, obtaining the instruction level of the potential operator according to the authority coefficient and the instruction weight coefficient. Instruction level = authority coefficient * a3 + instruction weight coefficient * a4. a3 and a4 are weight adjustment proportional factors set by the technician.

[0089] The instruction level of the potential operator is obtained through the authority coefficient and instruction weight coefficient of the potential operator, 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 switch cabinet 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 switch cabinet 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 for the switch cabinet electrical unit to be operated. The instruction level is together with the status level, and controls the operating status of the switch cabinet electrical unit corresponding to the instruction object. It comprehensively considers the authority of potential operators, the instruction level and the actual operating status of the switch cabinet electrical unit, so that the control of the operating status of the electrical unit is more in line with reality, avoids misoperation, and improves the overall intelligence level.

[0093] In summary, the normal pressure sealed air insulated switchgear control method controls the operating state of the corresponding switchgear electrical unit by combining the state level of the operating state of the switchgear electrical unit, the command level of the potential operator and the command object. The operating state of the target switchgear electrical unit can be matched with the command level and the state level. On the one hand, the actual operating state of the switchgear is taken into account, so that the control of the operating state 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 state of the relevant electrical units of the switchgear, which greatly improves the overall intelligence level.

[0094] Embodiment 2:

[0095] This embodiment provides a control method for a normal pressure sealed air insulated switch cabinet, such as 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 affects or is related to the operating status of the switchgear electrical units include but are not limited to current, voltage, vibration, environmental parameters, and soundprints. 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, excessively 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 malfunctions. Vibration may affect the mechanical properties of electrical components such as circuit breakers and disconnectors, making it impossible to accurately open and close the switch. 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 unit and extracting basic data characteristic values ​​in 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 basic data characteristic values, the real-time operating status of various electrical components in the switch cabinet and the predicted operating status that will appear next can be analyzed, and the operating status of the switch cabinet can be judged, that is, its status level can be divided into normal operating status, early warning status and alarm status. For the alarm status, it can be further divided into three levels of low, medium and high alarms according to 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, the data characteristic value function curve can be obtained by curve fitting the historical data characteristic values, and then the predicted data characteristic value of the next preset time period can be obtained according to the data characteristic function curve. Preferably, based on big data technology, a neural network model for obtaining the predicted data characteristic value of the next preset time period is constructed, the neural network model is trained by the basic data characteristic values ​​of the basic data related to the operating status of the switch cabinet electrical unit, and the trained neural network model is used to obtain the predicted data characteristic value of 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 calculates the warning coefficient, sets the corresponding warning proportional factor for the real-time data characteristic value RDC and the predicted data characteristic value PDC, and the warning coefficient is associated with the real-time data characteristic value and the predicted data characteristic value, so as to obtain a more objective and accurate warning coefficient.

[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 electrical unit of the switch cabinet 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 coefficient with the warning coefficient threshold and the alarm coefficient threshold, the warning coefficient corresponding to each type of basic data characteristic value is compared with the corresponding warning coefficient threshold and the alarm coefficient threshold. If they are all less than the warning coefficient threshold, it is judged that the switch cabinet is in a normal operating state. If it is greater than or equal to the warning coefficient threshold and less than the alarm coefficient threshold, it is judged that the switch cabinet is in a warning state. Otherwise, it is judged that the switch cabinet is 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, the facial image of the target object can be obtained by visual recognition technology, 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; or 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 instruction data includes but is not limited to body movement instructions and voice instructions. The method for extracting the instruction object in the instruction data is to extract the instruction data feature value in the instruction data, and extract the instruction object according to the instruction data feature value. Specifically, different instruction data feature values ​​can be preset for different instruction objects, and the instruction object is extracted by comparing the instruction data feature value extracted from the instruction data with the preset instruction data feature value.

[0113] The instruction object includes but is not limited to electrical units in the switch cabinet, such as circuit breakers, contactors, and disconnectors, etc. More specifically, if the instruction data is a voice instruction, the key words in the voice instruction can be extracted as the instruction data feature value, and the specific instruction object can be extracted according to the key words.

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

[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 such as facial image features and / or voiceprint features that can characterize the identity of the potential operator are extracted from the instruction data feature values, 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, information data characterizing the identity of potential operators and the authority coefficient of each potential operator are pre-stored in the control system. The authority coefficient can be set by a technician or the highest-level manager of the switch cabinet.

[0120] S42, obtaining 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 the voice instruction and specific body postures in the body movement instruction. Here, it is also possible to assign corresponding instruction weight coefficients to different key information used to characterize the instruction weight coefficient.

[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, obtaining the instruction level of the potential operator according to the authority coefficient and the instruction weight coefficient. Instruction level = authority coefficient * a3 + instruction weight coefficient * a4. a3 and a4 are weight adjustment proportional factors set by the technician.

[0124] The instruction level of the potential operator is obtained through the authority coefficient and instruction weight coefficient of the potential operator, 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 switch cabinet 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 switch cabinet 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 for the switch cabinet electrical unit to be operated. The instruction level is together with the status level, and controls the operating status of the switch cabinet electrical unit corresponding to the instruction object. It comprehensively considers the authority of potential operators, the instruction level and the actual operating status of the switch cabinet, so that the control of the operating status of the electrical unit is more in line with reality, avoids misoperation, and improves the overall intelligence level.

[0128] In summary, the normal pressure sealed air insulated switchgear control method controls the operating state of the corresponding switchgear electrical unit by combining the state level of the operating state of the switchgear electrical unit, the command level of the potential operator and the command object. The operating state of the target switchgear electrical unit can be matched with the command level and the state level. On the one hand, the actual operating state of the switchgear is taken into account, so that the control of the operating state 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 state 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 pressure sealed air insulated switchgear is installed in an outdoor box, and the outdoor box includes a housing 1, a top cover 2, and a base 3. The housing 1, the top cover 2, and the base 3 enclose a space for installing the atmospheric pressure sealed air insulated switchgear, and the atmospheric pressure sealed air insulated switchgear 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 according to 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 state level, so that the operating state of the switch cabinet electrical unit corresponding to the instruction object matches the instruction level and the state 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 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 preferentially selected 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 switch cabinet 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 switch cabinet electrical unit corresponding to the instruction object. Exemplarily, 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 switch cabinet electrical unit in the normal operating state, such as the opening and closing of circuit breakers, disconnectors, etc., level B corresponds to the state switching of the switch cabinet electrical unit in the early warning state, such as from closing to opening, level C corresponds to the state switching of the electrical unit in the early warning state, such as opening to closing, etc., and level D corresponds to the opening and closing of the electrical unit in the alarm state... According to the instruction level of the potential operator and the state level of the electrical unit, the switching of the operating state of the switch cabinet 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 according to the instruction data characteristic value; the instruction weight coefficient acquisition unit is used to obtain the instruction weight coefficient according to the instruction data characteristic value; the instruction level acquisition unit is used to obtain the instruction level of the potential operator according to the authority coefficient and the instruction weight coefficient.

[0143] The atmospheric pressure sealed air insulated switchgear 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 command level of the potential operator and the command object, so that the operating status of the target switchgear electrical unit can be matched with the command 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 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.

[0144] This embodiment also provides a normal-pressure sealed air-insulated switch cabinet 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 switch cabinet control method.

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

[0146] Embodiment three:

[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, obtaining 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. 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, obtaining the instruction direction degree f of the potential operator.

[0152] The instruction pointing degree is obtained by obtaining the key information in the instruction data characteristic value. That is to say, the key information in different instruction data characteristic values ​​corresponds to different instruction pointing degrees. The instruction pointing degree is mainly used to indicate the degree to which the instruction data issued by the potential operator is directed to the target switch cabinet, and to judge whether the instruction data obtained by the potential operator is mainly directed to the target switch cabinet, intending to control the operating state of the switch cabinet electrical components, or is just issued unintentionally without the intention of manipulating the electrical components. By obtaining the instruction pointing degree, the instruction weight coefficient can be associated with the control switching of the operating state of the electrical components of the target switch cabinet, thereby improving the accuracy of the control of the operating state of the electrical components.

[0153] S423, obtaining a correlation degree r between the command data characteristic value and the switch cabinet.

[0154] For the correlation, the specific method for obtaining it includes: presetting multiple key data feature values ​​for switching the operating state of electrical components (such as keywords "open", "close", "stop", "start", etc.), and assigning different correlation values ​​to the key data feature values ​​under different operating states, and then judging the actual operating state of the current electrical component, extracting the key data feature values ​​in the command data feature values, respectively calculating the correlation values ​​of the command data feature 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. The significance of the correlation is to associate the actual operating state of the electrical component with the operator's command data, improve the recognition accuracy of the operator's command data, and avoid the problem of command operations that do not conform to the actual operating state 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, δ are corresponding adjustment coefficients, which 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-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described 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-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A normal pressure sealed air insulated switchgear, characterized in that: The atmospheric pressure sealed air insulated switch cabinet 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, used for classifying 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 the instruction data of potential operators within a preset radius of the switch cabinet, and extract instruction data feature values ​​and instruction objects in the instruction data; A second level acquisition module, used for acquiring the instruction level of the potential operator according to the instruction data characteristic value; a control module, configured 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 state level, so that the operating state of the switch cabinet electrical unit corresponding to the instruction object matches the instruction level and the state level; The instruction data includes instruction data characteristic values ​​and instruction objects.

2. The atmospheric pressure sealed air insulated switchgear according to claim 1, characterized in that: The first level acquisition module includes: A prediction data calculation unit, used to calculate the prediction data characteristic value of the next preset time period according to the historical data characteristic value; An early warning coefficient calculation unit, used to calculate the early warning coefficient according to the real-time data characteristic value, the early warning data characteristic threshold value and the predicted data characteristic value; A level classification unit, used for 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.

3. The atmospheric pressure sealed air insulated switchgear according to claim 2, characterized in that: The second level acquisition modules include: an authority coefficient acquisition unit, used for acquiring the authority coefficient of the potential operator according to the characteristic value of the instruction data; An instruction weight coefficient acquisition unit, used 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.

4. A control method for a normal pressure sealed air insulated switch cabinet, characterized in that: The control method of the atmospheric pressure sealed air insulated switch cabinet comprises the following steps: Acquire basic data related to the operating status of the switch cabinet electrical unit, and extract 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; Acquire the instruction level of the potential operator according to the instruction data characteristic value; Controlling the operating state of the switch cabinet 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 switch cabinet electrical unit corresponding to the instruction object matches the instruction level and the state level; The instruction data includes instruction data characteristic values ​​and instruction objects.

5. The control method of the atmospheric pressure sealed air insulated switch cabinet according to claim 4, characterized in that: 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; Calculate the warning coefficient according to the real-time data characteristic value, the warning data characteristic threshold value and the predicted data characteristic value; 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.

6. The control method of the atmospheric pressure sealed air insulated switch cabinet according to claim 5, 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: Acquire 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.

7. The control method of the atmospheric pressure sealed air insulated switch cabinet according to claim 6, characterized in that: The specific method for obtaining the instruction weight coefficient according to the instruction data characteristic value comprises the following steps: Acquire the spatial distance between the potential operator and the switch cabinet; Obtaining the instruction direction degree of the potential operator; Obtaining a correlation between the command data characteristic value and the switch cabinet; The instruction weight coefficient is calculated according to the spatial distance, the instruction pointing degree and the correlation degree.

8. The control method of the atmospheric pressure sealed air insulated switch cabinet according to claim 7, characterized in that: The specific method for obtaining the authority coefficient of the potential operator according to the characteristic value of the instruction data comprises 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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