Temperature warning method for switch cabinet device and switch cabinet device

Abstract

The embodiment of the present invention discloses a temperature warning method for a switch cabinet device and a switch cabinet device, which relate to the field of high-voltage power distribution technology. The temperature warning method for the switch cabinet device includes collecting first temperature information of a target position through a collection module; adjusting the collection frequency of the collection module according to the first temperature information and a preset temperature threshold; collecting second temperature information of the target position through the collection module according to the adjusted collection frequency; and controlling the warning module to warn of temperature anomalies at the target position according to the second temperature information and the preset temperature threshold. The technical solution provided by this embodiment solves the problem that traditional switch cabinet devices cannot predict internal temperatures and have low accuracy in detecting temperature anomalies.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of high-voltage power distribution, and in particular to a temperature warning method for a switch cabinet device and a switch cabinet device. Background Art

[0002] With the rapid development of the power industry, switchgear, as an important part of the power system, its operating status directly affects the safety and stability of the entire system. Traditional switchgear devices usually only have basic switch control and protection functions.

[0003] In the power system, the temperature change inside the switch cabinet is often closely related to the operating status of the equipment. If the temperature inside the switch cabinet is too high, it may lead to serious consequences such as equipment performance degradation, insulation material aging, and even fire. Therefore, real-time monitoring and prediction of the internal temperature of the switch cabinet is of great significance for preventing faults and ensuring the safe operation of the power system.

[0004] Traditional switchgear devices are unable to predict internal temperatures and have low accuracy in detecting temperature anomalies. They can only sound an alarm after the temperature becomes abnormal. This lag may lead to untimely fault handling and increase safety risks in the power system. Summary of the invention

[0005] The embodiment of the present invention provides a temperature warning method for a switch cabinet device and a switch cabinet device, so as to solve the problem that a traditional switch cabinet device cannot predict the internal temperature and has a low accuracy in detecting temperature anomalies.

[0006] In order to achieve the above technical problems, the present invention adopts the following technical solutions:

[0007] An embodiment of the present invention provides a temperature early warning method for a switch cabinet device, comprising:

[0008] Collecting first temperature information of the target position through a collection module;

[0009] According to the first temperature information and a preset temperature threshold, adjusting the acquisition frequency of the acquisition module;

[0010] Collecting the second temperature information of the target position by the collection module according to the adjusted collection frequency;

[0011] According to the second temperature information and a preset temperature threshold, the early warning module is controlled to issue an early warning for temperature anomaly at the target location.

[0012] Optionally, collecting the second temperature information of the target position by the collection module according to the adjusted collection frequency includes:

[0013] Before the adjustment, the acquisition frequency of the acquisition module is the first acquisition frequency; after the adjustment, the acquisition frequency of the acquisition module is the second acquisition frequency; the second acquisition frequency is greater than the first acquisition frequency of the acquisition module;

[0014] The second temperature information of the target position is collected a first preset number of times according to the second collection frequency.

[0015] Optionally, controlling the early warning module to issue an early warning for abnormal temperature at the target location according to the second temperature information and a preset temperature threshold includes:

[0016] When the second temperature information is greater than or equal to a preset temperature threshold, generating an abnormal information instruction;

[0017] Through the early warning module, an early warning is issued for the temperature abnormality at the target location according to the abnormal information instruction.

[0018] Optionally, after the warning module issues a warning for the temperature anomaly at the target location according to the abnormal information instruction, the method further includes:

[0019] Collecting the third temperature information of the target position a second preset number of times by the collection module using the second collection frequency;

[0020] When the third temperature information is within a normal temperature threshold range, the acquisition frequency of the acquisition module is adjusted to return to the first acquisition frequency.

[0021] Optionally, after the first temperature information of the target position is collected by the collection module, the method further includes:

[0022] Predicting the temperature prediction information of the target location by a prediction module according to the historical temperature information collected by the collection module based on a multidimensional Markov chain model; the historical temperature information at least includes the first temperature information;

[0023] When the temperature prediction information is greater than or equal to a preset temperature threshold, the early warning module is controlled to issue an early warning for the predicted abnormal result.

[0024] Optionally, predicting the temperature prediction information of the target location by the prediction module according to the historical temperature information collected by the collection module based on a multidimensional Markov chain model includes:

[0025] By means of a state definition unit, the state of the target position of the switch cabinet is defined as a normal state, a warning state and a fault state according to the characteristics of the historical temperature information;

[0026] By means of a state division unit, according to a preset temperature threshold and the normal temperature threshold range, a temperature range of each state is determined, and the historical temperature information is mapped to the state to form a multidimensional state sequence; the multidimensional state sequence includes a plurality of multidimensional states;

[0027] By means of a transition probability calculation unit, according to the number of times each of the multidimensional states is transferred to other multidimensional states in the multidimensional state sequence, a multidimensional state transition probability is counted;

[0028] By using a model building unit, the multidimensional state transition probability is used as the core of a first-order Markov chain model to build a multidimensional Markov chain model;

[0029] The current multidimensional state is determined according to the first temperature information through the analysis unit; based on the multidimensional Markov chain model, a new state is determined as the temperature prediction information of the target position according to the transition probability of the current multidimensional state.

[0030] Optionally, after determining a new state as the temperature prediction information of the target position based on the multidimensional Markov chain model and according to the transition probability of the current multidimensional state, the method further includes:

[0031] The temperature prediction information is compared with the actual temperature information collected by the collection module through a correction unit, and the temperature prediction information is corrected according to the comparison result; and the state of the temperature prediction information is mapped back to the actual temperature information.

[0032] According to another aspect of the present invention, this embodiment provides a switch cabinet device, including:

[0033] A collection module, used for collecting first temperature information of a target position;

[0034] A control module connected to the acquisition module, the control module being used to adjust the acquisition frequency of the acquisition module according to the first temperature information and a preset temperature threshold;

[0035] The acquisition module is used to acquire the second temperature information of the target position according to the adjusted acquisition frequency;

[0036] An early warning module is connected to the control module, and the control module is used to control the early warning module to issue an early warning for temperature anomaly at the target location according to the second temperature information and a preset temperature threshold.

[0037] Optionally, a collection module is used to collect first temperature information of a target position of the switch cabinet at a first collection frequency;

[0038] The control module is used to adjust the acquisition frequency of the acquisition module to a second acquisition frequency according to the first temperature information and a preset temperature threshold; the second acquisition frequency is greater than the first acquisition frequency;

[0039] The acquisition module is used to collect the second temperature information of the target position for a first preset number of times according to the second acquisition frequency; the control module is used to generate an abnormal information instruction when the second temperature information is greater than or equal to a preset temperature threshold;

[0040] The early warning module is used to warn of temperature anomalies at the target location according to the abnormal information instruction.

[0041] Optionally, the switch cabinet device further includes:

[0042] A prediction module, the prediction module is connected to the acquisition module, and the prediction module is used to predict the temperature prediction information of the target location based on the historical temperature information acquired by the acquisition module and based on a multidimensional Markov chain model;

[0043] The control module is connected to the prediction module, and the control module is also used to control the early warning module to issue an early warning for the predicted abnormal result when the temperature prediction information is greater than or equal to a preset temperature threshold.

[0044] The temperature early warning method of the switch cabinet device provided by the embodiment of the present invention can monitor the temperature changes of the target position inside the switch cabinet in real time and give a timely early warning of possible faults by introducing advanced temperature monitoring and early warning technologies. At the same time, the temperature early warning method of the switch cabinet device also has a variety of alarm modes, which provides a strong guarantee for the safe operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the contents of the embodiments of the present invention and these drawings without paying any creative work.

[0046] Figure 1 is a structural schematic diagram of a switch cabinet device provided by an embodiment of the present invention;

[0047] Figure 2 is a structural schematic diagram of another switch cabinet device provided by an embodiment of the present invention;

[0048] Figure 3 This embodiment of the present invention provides a Figure 2An enlarged schematic diagram of the target position D1 of the switch cabinet in FIG.

[0049] Figure 4 Another embodiment of the present invention provides Figure 2 An enlarged schematic diagram of the target position D1 of the switch cabinet in FIG.

[0050] Figure 5 is a flow chart of a temperature early warning method for a switch cabinet device provided by an embodiment of the present invention;

[0051] Figure 6 is a structural schematic diagram of another switch cabinet device provided by an embodiment of the present invention;

[0052] Figure 7 is a structural schematic diagram of another switch cabinet device provided by an embodiment of the present invention;

[0053] Figure 8 It is a structural schematic diagram of another switch cabinet device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0055] Based on the above technical problems, this embodiment proposes the following solutions:

[0056] Figure 1 It is a structural schematic diagram of a switch cabinet device provided by an embodiment of the present invention. Figure 2 It is a structural schematic diagram of another switch cabinet device provided by an embodiment of the present invention. Figure 3 This embodiment of the present invention provides a Figure 2 An enlarged schematic diagram of the target position D1 of the switch cabinet in FIG. Figure 4 Another embodiment of the present invention provides Figure 2 An enlarged schematic diagram of the target position D1 of the switch cabinet in FIG. Figure 5 1 is a flow chart of a temperature warning method for a switch cabinet device provided by an embodiment of the present invention. Figures 1 to 5 The temperature warning method of the switch cabinet device provided in this embodiment includes:

[0057] S101, collecting first temperature information of a target position through a collection module;

[0058] S102, adjusting the collection frequency of the collection module according to the first temperature information and a preset temperature threshold;

[0059] S103, collecting second temperature information of the target position according to the adjusted collection frequency by the collection module;

[0060] S104: Controlling the early warning module to issue an early warning of temperature abnormality at the target location according to the second temperature information and a preset temperature threshold.

[0061] Specifically, the acquisition module 101 may include a temperature sensor. In order to improve the detection accuracy of the temperature sensor, a high-precision temperature sensor may be used. The acquisition module 101 may be set at the target position D1 of the switch cabinet. The target position D1 may be a key position where the switch cabinet is prone to temperature anomalies. For example, the target position D1 may include the position of the plum blossom contact of the switch cabinet. Since the plum blossom contact is an important part of the main circuit circulation of the switch cabinet. The plum blossom contact includes a moving contact and a static contact. The quality of the moving contact and the static contact will directly affect the reliable operation of the circuit. The temperature of the plum blossom contact is related to the wear resistance. The temperature will affect the mechanical life of the plum blossom contact, thereby affecting whether the switch of the switch cabinet can operate reliably. By setting the acquisition module 101 at the target position D1, subtle changes in temperature can be accurately captured.

[0062] The control module 102 adjusts the acquisition frequency of the acquisition module 101 according to the comparison result between the first temperature information and the preset temperature threshold. Exemplarily, when the first temperature information is greater than or equal to the preset temperature threshold, the acquisition frequency of the control acquisition module 101 is adjusted to a higher frequency.

[0063] The acquisition module 101 acquires the second temperature information of the target position D1 at a higher acquisition frequency. When the second temperature information is greater than or equal to the preset temperature threshold, the control module 102 controls the early warning module 103 to immediately start early warning of the temperature anomaly of the target position D1. The early warning methods of the early warning module 103 include but are not limited to various methods such as sound and light alarms, SMS notifications and / or email reminders to promptly notify relevant personnel for processing. This diversified alarm method ensures the timely transmission of information and reduces the risk of delays in fault handling.

[0064] The temperature early warning method for the switch cabinet device provided in this embodiment can monitor the temperature changes of the target position inside the switch cabinet in real time and give timely early warning of possible faults by introducing advanced temperature monitoring, temperature prediction and early warning technologies. At the same time, the temperature early warning method for the switch cabinet device can also realize diversified alarm modes, providing a strong guarantee for the safe operation of the power system.

[0065] Optionally, based on the above embodiment, adjusting the acquisition frequency of the acquisition module according to the first temperature information and a preset temperature threshold includes:

[0066] According to the first temperature information and a preset temperature threshold, the acquisition frequency of the acquisition module is adjusted to a second acquisition frequency; the second acquisition frequency is greater than the first acquisition frequency of the acquisition module.

[0067] Optionally, based on the above embodiment, collecting the second temperature information of the target position according to the adjusted collection frequency by the collection module includes:

[0068] The second temperature information of the target position is collected a first preset number of times according to the second collection frequency.

[0069] Optionally, based on the above embodiment, controlling the early warning module to issue an early warning for abnormal temperature at the target location according to the second temperature information and a preset temperature threshold includes:

[0070] When the second temperature information is greater than or equal to a preset temperature threshold, generating an abnormal information instruction;

[0071] Through the early warning module, an early warning is issued for the temperature abnormality at the target location according to the abnormal information instruction.

[0072] Optionally, based on the above embodiment, after the warning module issues a warning for the temperature abnormality at the target location according to the abnormal information instruction, the method further includes:

[0073] Collecting the third temperature information of the target position a second preset number of times by the collection module using the second collection frequency;

[0074] When the third temperature information is within a normal temperature threshold range, the acquisition frequency of the acquisition module is adjusted to return to the first acquisition frequency.

[0075] Optionally, based on the above embodiment, after the first temperature information of the target position is collected by the collection module, the method further includes:

[0076] Predicting the temperature prediction information of the target location by a prediction module according to the historical temperature information collected by the collection module based on a multidimensional Markov chain model; the historical temperature information at least includes the first temperature information;

[0077] When the temperature prediction information is greater than or equal to a preset temperature threshold, the early warning module is controlled to issue an early warning for the predicted abnormal result.

[0078] Optionally, based on the above embodiment, the prediction module predicts the temperature prediction information of the target location based on the historical temperature information collected by the collection module and based on a multidimensional Markov chain model, including:

[0079] Through the state definition unit, the state of the target position of the switch cabinet is defined as a normal state, a warning state and a fault state according to the characteristics of the historical temperature information.

[0080] Through the state division unit, according to the preset temperature threshold and the normal temperature threshold range, the temperature range of each state is determined, and the historical temperature information is mapped to the state to form a multidimensional state sequence; the multidimensional state sequence includes multiple multidimensional states.

[0081] The multidimensional state transition probability is counted by a transition probability calculation unit according to the number of times each of the multidimensional states is transferred to other multidimensional states in the multidimensional state sequence.

[0082] Through the model building unit, the multidimensional state transition probability is used as the core of the first-order Markov chain model to build a multidimensional Markov chain model.

[0083] The current multidimensional state is determined according to the first temperature information through the analysis unit; based on the multidimensional Markov chain model, a new state is determined as the temperature prediction information of the target position according to the transition probability of the current multidimensional state.

[0084] Optionally, based on the above embodiment, after determining a new state as the temperature prediction information of the target position based on the multidimensional Markov chain model and according to the transition probability of the current multidimensional state, the method further includes:

[0085] The temperature prediction information is compared with the actual temperature information collected by the collection module through a correction unit, and the temperature prediction information is corrected according to the comparison result; and the state of the temperature prediction information is mapped back to the actual temperature information.

[0086] Continue to combine Figures 1 to 4 The switch cabinet device 100 provided in an embodiment of the present invention includes: a collection module 101, which is used to collect first temperature information of a target position D1; a control module 102, which is connected to the collection module 101, and the control module 102 is used to adjust the collection frequency of the collection module 101 according to the first temperature information and a preset temperature threshold; the collection module 101 is used to collect second temperature information of the target position D1 according to the adjusted collection frequency; an early warning module 103, which is connected to the control module 102, and the control module 102 is used to control the early warning module 103 to issue an early warning for temperature abnormality of the target position D1 according to the second temperature information and a preset temperature threshold.

[0087] The switch cabinet device 100 provided in this embodiment can monitor the temperature change of the target position D1 inside the switch cabinet in real time and give a timely warning of possible faults by introducing advanced temperature monitoring and early warning technology. At the same time, the switch cabinet device 100 also has a variety of alarm modes, which provides a strong guarantee for the safe operation of the power system.

[0088] Optionally, based on the above embodiment, continue to refer to Figure 1 The acquisition module 101 is used to acquire the first temperature information of the target position D1 of the switch cabinet at a first acquisition frequency; the control module 102 is used to adjust the acquisition frequency of the acquisition module 101 to a second acquisition frequency according to the first temperature information and a preset temperature threshold; the second acquisition frequency is greater than the first acquisition frequency; the acquisition module 101 is used to acquire the second temperature information of the target position D1 for a first preset number of times according to the second acquisition frequency; the control module 102 is used to generate an abnormal information instruction when the second temperature information is greater than or equal to the preset temperature threshold; the early warning module 103 is used to warn of the temperature abnormality of the target position D1 according to the abnormal information instruction.

[0089] Specifically, the first collection frequency may be set to collect the first temperature information of the switch cabinet target position D1 once every 10 minutes, for example. The second collection frequency may be set to collect the first temperature information of the switch cabinet target position D1 once every 30 seconds, for example.

[0090] The control module 102 adjusts the acquisition frequency of the acquisition module 101 to the second acquisition frequency according to the comparison result between the first temperature information and the preset temperature threshold. Exemplarily, when the first temperature information is greater than or equal to the preset temperature threshold, the acquisition frequency of the control acquisition module 101 is adjusted to the second acquisition frequency with a higher frequency.

[0091] The first preset number of times may be 3 times, 4 times, 5 times, etc. The acquisition module 101 repeatedly acquires the second temperature information of the target position D1 for the first preset number of times at a second acquisition frequency with a higher acquisition frequency. The control module 102 generates an abnormal information instruction when the second temperature information is greater than or equal to the preset temperature threshold. The preset temperature threshold may be set lower than the fault temperature threshold.

[0092] The early warning module 103 will immediately start warning the temperature anomaly at the target position D1 according to the abnormal information instruction. The early warning methods of the early warning module 103 include but are not limited to various methods such as sound and light alarm, SMS notification and / or email reminder, so as to promptly notify relevant personnel to handle the problem. This diversified alarm method ensures the timely transmission of information and reduces the risk of delay in fault handling.

[0093] Optionally, based on the above embodiment, the acquisition module 101 may include at least two temperature sensors.

[0094] Specifically, high-precision temperature sensors are arranged in the switch cabinet device 100 . These temperature sensors are distributed at key positions of the switch cabinet device 100 and can accurately capture subtle changes in temperature. Figure 1 The case where the acquisition module 101 includes 6 temperature sensors is exemplarily shown, and no limitation is made here. The switch cabinet device 100 provided in this embodiment can support data processing of temperature information collected by multiple temperature sensors, can perform temperature monitoring and early warning on at least two target positions D1 of the switch cabinet device 100, and further improve the accuracy of the switch cabinet device 100 in abnormal monitoring of its internal temperature.

[0095] Optionally, based on the above embodiment, continue to refer to Figure 1 The acquisition module 101 is used to acquire the third temperature information of the target position D1 for a second preset number of times at a second acquisition frequency; the control module 102 is also used to adjust the acquisition frequency of the acquisition module 101 to return to the first acquisition frequency when the third temperature information is within the normal temperature threshold range; the second acquisition frequency is greater than or equal to the first acquisition frequency.

[0096] Specifically, when the third temperature information collected by the collection module 101 at the second collection frequency with a higher collection frequency is within the normal temperature threshold range, the collection is repeated for a second preset number of times, and when the third temperature information is all within the normal temperature threshold range, the control module 102 controls the collection frequency of the collection module 101 to be adjusted to the first collection frequency with a lower collection frequency. This setting can reduce the power consumption of the temperature monitoring of the switch cabinet device 100.

[0097] Optionally, based on the above embodiment, continue to refer to Figure 1 The early warning module 103 includes at least two of the following methods: sound and light alarm, SMS notification, email reminder, and software program reminder.

[0098] Specifically, such a setting can better avoid a single alarm mode. When the switch cabinet device 100 finds that the temperature is abnormal, it alarms by at least two methods of sound and light alarm, SMS notification, email reminder, and software program reminder, which can promptly and effectively notify relevant personnel so that they can handle it in time and avoid malfunctions caused by abnormal temperature.

[0099] Optional, Figure 6 FIG. 1 is a schematic diagram of the structure of another switch cabinet device provided by an embodiment of the present invention. Figure 6The switch cabinet device 100 also includes a prediction module 105, which is connected to the acquisition module 101. The prediction module 105 is used to predict the temperature prediction information of the target position D1 based on the historical temperature information collected by the acquisition module 101 and based on the multidimensional Markov chain model; the control module 102 is connected to the prediction module 105, and the control module 102 is also used to control the early warning module 103 to warn of the predicted abnormal results when the temperature prediction information is greater than or equal to the preset temperature threshold.

[0100] Specifically, the historical temperature information provides the prediction module 105 with initial data for temperature prediction.

[0101] The prediction module 105 predicts the temperature of the target position D1 based on the historical temperature information and the multidimensional Markov chain model, and generates temperature prediction information. When the temperature prediction information is greater than or equal to the preset temperature threshold, the control module 102 controls the early warning module 103 to warn of the predicted abnormal result. The early warning module 103 immediately reminds the operation and maintenance personnel of possible abnormalities through software programs such as Feishu and SMS notifications based on the received prediction result instructions, so that the operation and maintenance personnel can inspect and focus on the temperature abnormal points of the switch cabinet device 100 in advance.

[0102] Compared with the existing switch cabinet, the switch cabinet device 100 provided in this embodiment can predict the temperature abnormality at the next moment or in the future according to the historical temperature information. According to the temperature prediction information, it is possible to provide an early warning before the temperature abnormality occurs, improve the ability to handle the temperature abnormality in a timely manner, and further improve the safety of the power system.

[0103] Optional, Figure 7 FIG. 1 is a schematic diagram of the structure of another switch cabinet device provided by an embodiment of the present invention. Figure 7 The prediction module 105 includes: a state definition unit 401, which is used to define the state of the target position D1 of the switch cabinet as a normal state, a warning state and a fault state according to the characteristics of the historical temperature information; a state division unit 402, which is connected to the state definition unit 401, and the state division unit 402 is used to determine the temperature range of each state according to the preset temperature threshold and the normal temperature threshold range, and map the historical temperature information to the state to form a multidimensional state sequence; the multidimensional state sequence includes multiple multidimensional states. Specifically, the multidimensional state sequence includes three states, namely "normal", "warning" and "fault" states. Each state is further subdivided into three sub-states, namely "lower limit", "medium" and "upper limit", thereby forming a multidimensional state.

[0104] Specifically, the state definition unit 401 defines the state according to the needs of the actual application and the characteristics of the temperature data. For example, the temperature can be divided into three states: "normal", "warning" and "fault". Determine the temperature range of each state. Exemplarily, the temperature range of the normal state can be set to 0-40°C, the temperature range of the warning state can be set to 40-50°C, and the temperature range of the fault state can be set to above 50°C. Each state is further subdivided into three sub-states, namely "lower limit", "medium" and "upper limit". Map the historical temperature information to the normal state, warning state and fault state to form a multi-dimensional state sequence.

[0105] Optionally, based on the above embodiment, continue to refer to Figure 7 The prediction module 105 may further include: a transition probability calculation unit 403, connected to the state division unit 402, the transition probability calculation unit 403 is used to count the multidimensional state transition probability according to the number of times each multidimensional state is transferred to other multidimensional states in the multidimensional state sequence; a model construction unit 404, connected to the transition probability calculation unit 403, the model construction unit 404 is used to use the multidimensional state transition probability as the core of the first-order Markov chain model to construct a multidimensional Markov chain model.

[0106] Specifically, traverse the state sequence and count the number of times each multidimensional state is transferred to other multidimensional states. Construct a multidimensional state transfer matrix, in which each element represents the frequency or probability of transferring from one multidimensional state to another multidimensional state. The conditional probability of the current value under the temperature value at the previous moment is called the transfer probability. Quote the following formula: It indicates the probability that the current state is t given that the previous state was s.

[0107] Since there are three states at each different moment, there are three situations in which the state at the previous moment is transferred to the current state, so all the conditional probabilities will form a 3*3 matrix:

[0108]

[0109] Among them, the first digit 1 of the subscript of P represents the normal state, the first digit 2 represents the warning state, and the first digit 3 represents the fault state; the second digit 1 of the subscript of P represents the normal state, the second digit 2 represents the warning state, and the second digit 3 represents the fault state.

[0110] The model building unit 404 first determines the order of the Markov chain. A first-order Markov chain is used, that is, the next state depends only on the current state.

[0111]

[0112] Among them, n represents the real-time value at the moment.

[0113] The model building unit 404 then builds the model, using multi-dimensional state transition probability as the core of the model. Each state has a fixed probability of transitioning to other states. is the historical temperature value. The range of these variables, that is, the set of all their possible values, is called the "state space". The value of is the state at time n. If the latest predicted temperature value 1 The conditional probability distribution for the past state is only the most recently collected temperature value A function of

[0114]

[0115] Here, x is a single state in the process.

[0116] Optionally, based on the above embodiment, continue to refer to Figure 7 The prediction module 105 also includes: an analysis unit 405, which is connected to the acquisition module 101 and the model building unit 404, and the analysis unit 405 is used to determine the current multidimensional state according to the first temperature information; based on the multidimensional Markov chain model, according to the transition probability of the current multidimensional state, a new state is determined as the temperature prediction information of the target position D1.

[0117] Specifically, the analysis unit 405 can determine the current multidimensional state according to the latest historical temperature information of the six sensors. The analysis unit 405 uses a multidimensional Markov chain model to randomly select a new state as a prediction value according to the state transition probability of the current state, and determines the prediction value as a new state as the temperature prediction information of the target position D1.

[0118] Optionally, based on the above embodiment, continue to refer to Figure 7 The prediction module 105 may further include: a correction unit 406 connected to the analysis unit 405 and the acquisition module 101, the correction unit 406 is used to compare the temperature prediction information with the actual temperature information collected by the acquisition module 101, and to correct the temperature prediction information according to the comparison result; and to map the state of the temperature prediction information back to the actual temperature information.

[0119] Specifically, the correction unit 406 may correct the temperature prediction information according to the comparison result, and map the state of the temperature prediction information back to the actual temperature information, so as to further improve the accuracy of the temperature prediction information generated by the prediction module 105 .

[0120] Optional, Figure 8FIG. 1 is a schematic diagram of the structure of another switch cabinet device provided by an embodiment of the present invention. Figure 8 The switch cabinet device 100 also includes: a preprocessing module 106, which is connected to the acquisition module 101 and the prediction module 105, and the preprocessing module 106 is used to convert the continuous historical temperature information into discrete temperature data, and divide the temperature range of the target position D1 of the switch cabinet into at least two intervals, each interval represents a state.

[0121] Optionally, the switch cabinet device 100 further includes: a storage module 104 connected to the acquisition module 101, and the storage module 104 is used to store historical temperature information acquired by the acquisition module 101, where the historical temperature information includes the first temperature information, the second temperature information and / or the third temperature information.

[0122] Specifically, the storage module 104 may store the first temperature information, the second temperature information, and the third temperature information collected by the collection module 101. The storage module 104 uses the stored first temperature information, the second temperature information, and the third temperature information as historical temperature information.

[0123] Specifically, the preprocessing module 106 converts continuous historical temperature information into discrete temperature data and divides the temperature range of the target position D1 of the switch cabinet into at least two intervals, each of which represents a state, to achieve preprocessing of historical temperature information, further improve the accuracy of the temperature prediction information generated by the prediction module 105, thereby improving the accuracy of the temperature warning of the switch cabinet device 100, further improving the ability to handle temperature anomalies in a timely manner, and further improving the safety of the power system. Provide data support for the maintenance and management of the switch cabinet device 100. At the same time, through the connection with other intelligent devices, the power system can realize centralized monitoring and management of the switch cabinet device 100, thereby improving management efficiency.

[0124] The user can view the historical temperature information and judge the usage of the component at the current target position D1 based on the historical temperature information. The user can also network the switch cabinet device 100 with other switch cabinet devices 100 of the same type to remotely view the temperature conditions of multiple switch cabinet devices 100 in real time.

[0125] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A temperature early warning method for a switch cabinet device, characterized in that: include: Collecting first temperature information of a target position by means of a collection module; the target position includes a plum blossom contact position of a switch cabinet; According to the first temperature information and a preset temperature threshold, adjusting the acquisition frequency of the acquisition module; Collecting the second temperature information of the target position by the collection module according to the adjusted collection frequency; According to the second temperature information and a preset temperature threshold, controlling the early warning module to issue an early warning for temperature abnormality at the target location; The acquisition module adopts a second acquisition frequency to acquire the third temperature information of the target position for a second preset number of times; when the third temperature information is within a normal temperature threshold range, the acquisition frequency of the acquisition module is adjusted to be restored to the first acquisition frequency; before the adjustment, the acquisition frequency of the acquisition module is the first acquisition frequency, and after the adjustment, the acquisition frequency of the acquisition module is the second acquisition frequency; the second acquisition frequency is greater than the first acquisition frequency of the acquisition module; The prediction module predicts the temperature prediction information of the target location based on the historical temperature information collected by the collection module and based on the multidimensional Markov chain model; the historical temperature information at least includes the first temperature information; when the temperature prediction information is greater than or equal to a preset temperature threshold, the early warning module is controlled to issue an early warning for the predicted abnormal result; The predicting module predicts the temperature prediction information of the target location based on the historical temperature information collected by the collection module and based on the multidimensional Markov chain model, including: By means of a state definition unit, the state of the target position of the switch cabinet is defined as a normal state, a warning state and a fault state according to the characteristics of the historical temperature information; By means of a state division unit, according to a preset temperature threshold and the normal temperature threshold range, a temperature range of each state is determined, and the historical temperature information is mapped to the state to form a multidimensional state sequence; the multidimensional state sequence includes a plurality of multidimensional states; By means of a transition probability calculation unit, according to the number of times each of the multidimensional states is transferred to other multidimensional states in the multidimensional state sequence, a multidimensional state transition probability is counted; By using a model building unit, the multidimensional state transition probability is used as the core of a first-order Markov chain model to build a multidimensional Markov chain model; The current multidimensional state is determined according to the first temperature information through the analysis unit; based on the multidimensional Markov chain model, a new state is determined as the temperature prediction information of the target position according to the transition probability of the current multidimensional state.

2. The method according to claim 1, characterized in that The collecting the second temperature information of the target position according to the adjusted collecting frequency by the collecting module includes: The second temperature information of the target position is collected a first preset number of times according to the second collection frequency.

3. The method according to claim 2, characterized in that According to the second temperature information and the preset temperature threshold, controlling the early warning module to issue an early warning for the temperature abnormality at the target location includes: When the second temperature information is greater than or equal to a preset temperature threshold, generating an abnormal information instruction; Through the early warning module, an early warning is issued for the temperature abnormality at the target location according to the abnormal information instruction.

4. The method according to claim 1, characterized in that: After determining a new state as the temperature prediction information of the target position based on the multidimensional Markov chain model and according to the transition probability of the current multidimensional state, the method further includes: The temperature prediction information is compared with the actual temperature information collected by the collection module through a correction unit, and the temperature prediction information is corrected according to the comparison result; and the state of the temperature prediction information is mapped back to the actual temperature information.

5. A switch cabinet device, characterized in that: include: A collection module, used for collecting first temperature information of a target position; The target position includes the plum blossom contact position of the switch cabinet; A control module connected to the acquisition module, the control module being used to adjust the acquisition frequency of the acquisition module according to the first temperature information and a preset temperature threshold; The acquisition module is used to acquire the second temperature information of the target position according to the adjusted acquisition frequency; an early warning module connected to the control module, the control module being used to control the early warning module to issue an early warning for temperature anomaly at the target location according to the second temperature information and a preset temperature threshold; The acquisition module is further used to acquire the third temperature information of the target position a second preset number of times using a second acquisition frequency; The control module is further used to adjust the acquisition frequency of the acquisition module to restore to the first acquisition frequency when the third temperature information is within the normal temperature threshold range; before the adjustment, the acquisition frequency of the acquisition module is the first acquisition frequency, and after the adjustment, the acquisition frequency of the acquisition module is the second acquisition frequency, and the second acquisition frequency is greater than the first acquisition frequency of the acquisition module; A prediction module, the prediction module is connected to the acquisition module, and the prediction module is used to predict the temperature prediction information of the target location based on the historical temperature information acquired by the acquisition module and based on a multidimensional Markov chain model; The control module is connected to the prediction module, and the control module is also used to control the early warning module to issue an early warning for the predicted abnormal result when the temperature prediction information is greater than or equal to a preset temperature threshold; The prediction module includes: a state definition unit, which is used to define the state of the target position of the switch cabinet as a normal state, a warning state and a fault state according to the characteristics of the historical temperature information; a state division unit, which is connected to the state definition unit, and is used to determine the temperature range of each state according to the preset temperature threshold and the normal temperature threshold range, and map the historical temperature information to the state to form a multidimensional state sequence; the multidimensional state sequence includes multiple multidimensional states; a transition probability calculation unit, which is connected to the state division unit, and is used to count the multidimensional state transition probability according to the number of times each multidimensional state is transferred to other multidimensional states in the multidimensional state sequence; a model construction unit, which is connected to the transition probability calculation unit, and is used to construct a multidimensional Markov chain model by taking the multidimensional state transition probability as the core of the first-order Markov chain model; an analysis unit, which is connected to the acquisition module and the model construction unit, and is used to determine the current multidimensional state according to the first temperature information; based on the multidimensional Markov chain model, a new state is determined as the temperature prediction information of the target position according to the transition probability of the current multidimensional state.

6. The switch cabinet device according to claim 5, characterized in that: A collection module, used for collecting first temperature information of a target position of the switch cabinet at a first collection frequency; The control module is used to adjust the acquisition frequency of the acquisition module to a second acquisition frequency according to the first temperature information and a preset temperature threshold; the second acquisition frequency is greater than the first acquisition frequency; The acquisition module is used for acquiring the second temperature information of the target position for a first preset number of times according to the second acquisition frequency; The control module is used to generate an abnormal information instruction when the second temperature information is greater than or equal to a preset temperature threshold; The early warning module is used to warn of temperature anomalies at the target location according to the abnormal information instruction.

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