Omnibearing intelligent monitoring method and system for impregnated fiber sleeve

Abstract

The invention discloses an all-dimensional intelligent monitoring method and system for an impregnated fiber sleeve, and relates to the technical field of fiber sleeve monitoring. Comprising the following steps: basic feature monitoring: setting a monitoring threshold to obtain a monitoring threshold item, and obtaining basic features of a target fiber sleeve based on the monitoring threshold item to obtain a basic feature item; basic feature feedback: outputting alarm feedback data based on the basic feature items; environment characteristic monitoring: environment characteristics of the target fiber sleeve are obtained based on the monitoring threshold item, and environment characteristic items are obtained and comprise a temperature item and a humidity item. According to the invention, the first corresponding threshold value and the second corresponding threshold value are respectively used as the updated monitoring items to replace the monitoring threshold values, and the temperature item and the humidity item in the environment characteristics are respectively obtained, so that the effect of making the best of different environment obtaining intervals is achieved, and different attributes in the environment characteristic items are monitored in a targeted manner. And a free adjustment type monitoring effect on the environment attributes is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of fiber casing monitoring, and in particular to a method and system for all-round intelligent monitoring of glue-impregnated fiber casing. Background Art

[0002] Glue-impregnated fiber bushing is a composite material used for reinforcement and protection. It is usually made of fibers such as glass fiber or carbon fiber impregnated with resin. Its production process usually includes soaking the fibers in resin so that the fibers and resin are fully combined to form a strong composite structure. The reinforcing fibers provide excellent mechanical properties, and the glue-impregnated fiber bushing is usually lighter, which helps to reduce the weight of the overall structure. Since glue-impregnated fiber bushing is widely used in structural materials, especially in the aerospace and automotive industries, monitoring its status can timely detect potential damage or fatigue, thereby preventing accidents and ensuring safety. Real-time monitoring can evaluate the performance changes of the material during use, including strength, rigidity, corrosion resistance, etc., to ensure that it meets the design standards and usage requirements.

[0003] A distributed real-time monitoring system for casing corrosion with patent publication number CN114216840B uses a transmitting loop laid on the ground as the transmitting source to provide a shut-off bipolar step current, and then places a special probe at different positions in the wellbore casing to receive transient responses at different positions. By qualitatively analyzing and processing the responses, the corrosion information of the casing is obtained, thereby realizing real-time corrosion monitoring of the wellbore casing. Based on the principle of electromagnetic induction, the conductivity of the casing decreases after corrosion, thereby causing corresponding changes in the electromagnetic signal. The corrosion situation is judged by the change in the electromagnetic signal with high accuracy. The electromagnetic signal can be transmitted in real time, and the transmitted data can be analyzed and processed in a timely manner to obtain corrosion information, thereby realizing real-time monitoring of the casing.

[0004] In the process of monitoring partial discharge, leakage current, dielectric damage and capacitance of the fiber casing, the above-mentioned and similar technical solutions also need to monitor some auxiliary properties, such as temperature and humidity. Since these auxiliary properties will affect the normal operation of the fiber casing, it is necessary to take into account the monitoring of the auxiliary properties at the same time. When the auxiliary properties are monitored at the same time, it is impossible to perform targeted monitoring of the prominent auxiliary properties. Since one of the auxiliary properties is more obvious in different regions, for example, in Xinjiang, Gansu and other regions, the characteristic of its auxiliary property is that the temperature influence is greater than the humidity influence. At this time, when the temperature and humidity are monitored in the same way, it is impossible to form a targeted monitoring of the prominent auxiliary properties, resulting in poor monitoring effect of the auxiliary properties. Summary of the invention

[0005] The object of the present invention is to provide a comprehensive intelligent monitoring method and system for a rubber-impregnated fiber casing to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a comprehensive intelligent monitoring method for glue-impregnated fiber casing, comprising:

[0007] Basic feature monitoring: setting a monitoring threshold to obtain a monitoring threshold item, obtaining the basic features of the target fiber casing based on the monitoring threshold item, and obtaining a basic feature item;

[0008] Basic feature feedback: Based on the basic feature items, output alarm feedback data;

[0009] Environmental characteristic monitoring: obtaining the environmental characteristics of the target fiber casing based on the monitoring threshold item, and obtaining the environmental characteristic item, which includes the temperature item and the humidity item;

[0010] Environmental monitoring adjustment: divide the environmental characteristics into at least two levels, set environmental characteristic thresholds and cut values ​​corresponding to different levels respectively, judge and process the acquired environmental characteristic items through processing methods, match the corresponding cut value to cut the monitoring threshold items, obtain updated monitoring items, and re-acquire the environmental characteristics of the target fiber casing based on the updated monitoring items, so as to achieve the effect of taking advantage of the strengths and weaknesses of different environmental acquisition intervals and conduct targeted monitoring of environmental characteristic items;

[0011] The processing method comprises:

[0012] Step 1: Level judgment: Based on the environmental feature threshold, the levels of the temperature item and the humidity item are judged, and two target cutting values ​​are obtained respectively, and the cutting temperature value and the cutting humidity value are obtained;

[0013] Step 2: Cutting and allocating, based on the cutting temperature value and the cutting humidity value, the monitoring threshold items are cut respectively to obtain the temperature cutting item and the humidity cutting item;

[0014] Step 3: Threshold update: based on the difference between the monitoring threshold item and the temperature cut item and the humidity cut item, the temperature retention item and the humidity retention item are obtained respectively;

[0015] Step 4: Threshold combination, combine the temperature retention item, humidity cut item, monitoring threshold item and the humidity retention item, temperature cut item, monitoring threshold item to obtain the first corresponding threshold and the second corresponding threshold respectively, and the first corresponding threshold and the second corresponding threshold are used to obtain the updated monitoring item.

[0016] Furthermore, the environmental characteristic threshold includes a temperature threshold, and the level determination method includes:

[0017] S1: first data acquisition, setting a first threshold, acquiring an average temperature of a target fiber casing based on the first threshold, and obtaining an average temperature item;

[0018] S2: First threshold matching, based on the matching result between the average temperature item and the temperature threshold, the corresponding level of the temperature item is obtained, and then the temperature target cutting value is obtained, and then the cutting temperature value is obtained.

[0019] Furthermore, the environmental characteristic threshold includes a humidity threshold, and the level determination method includes:

[0020] M1: second data acquisition, setting a second threshold, acquiring the average humidity of the target fiber sleeve based on the second threshold, and obtaining an average humidity item;

[0021] M2: Second threshold matching, based on the matching result between the average humidity item and the humidity threshold, the corresponding level of the humidity item is obtained, and then the humidity target cut value is obtained, and then the cut humidity value is obtained.

[0022] Furthermore, the cutting allocation method includes: based on the cutting temperature value and the cutting humidity value, multiplying them with the monitoring threshold items respectively, the monitoring threshold items are time ranges, the cutting temperature value and the cutting humidity value are respectively proportional data, and then obtaining the multiplied temperature time range and humidity time range, and marking them as temperature cutting items and humidity cutting items.

[0023] Furthermore, the threshold combination method includes: level analysis, setting the initial level based on the levels of the temperature item and the humidity item, and judging whether the temperature item and the humidity item are at the initial level:

[0024] N1: When the temperature item is at the initial level and the humidity item is not at the initial level, the combination result of the monitoring threshold item and the humidity cut item is the first corresponding threshold, and the humidity retention item is the second corresponding threshold;

[0025] N2: When the temperature item is not at the initial level and the humidity item is at the initial level, the temperature retention item is used as the first corresponding threshold, and the combination of the monitoring threshold item and the temperature cutting item is used as the second corresponding threshold;

[0026] N3: When both the temperature item and the humidity item are not at the initial level, the temperature retention item and the humidity retention item are used as the first corresponding threshold and the second corresponding threshold respectively;

[0027] N4: When the temperature item and the humidity item are both at the initial level, the monitoring threshold items are used as the first corresponding threshold and the second corresponding threshold respectively.

[0028] Furthermore, the basic feature includes leakage current, and the method for obtaining the basic feature item includes: selecting at least two first target devices as first monitoring devices, the first target device is a leakage current testing instrument, and obtaining leakage current data of the target fiber sleeve based on a monitoring threshold.

[0029] Furthermore, the basic characteristics include dielectric damage, and the method for obtaining the basic characteristic items includes: selecting at least two second target devices as second monitoring devices, the second target devices are dielectric loss testers, and obtaining dielectric damage data of the target fiber sleeve based on a monitoring threshold.

[0030] Furthermore, the method for acquiring the environmental characteristic items includes: setting an acquisition threshold, setting at least two third equipment groups as third monitoring equipment, the third equipment group includes at least one temperature sensor and one humidity sensor, and acquiring the average temperature and average humidity of the target fiber sleeve based on the acquisition threshold to obtain the environmental characteristic items.

[0031] Furthermore, the method for classifying the environmental characteristics comprises:

[0032] Z1: Threshold setting, setting the acquisition threshold, based on the acquisition threshold, obtaining the highest temperature, highest humidity, lowest temperature, and lowest humidity data of the target fiber casing, and obtaining the temperature fluctuation item and the humidity fluctuation item;

[0033] Z2: Segment division, based on segment division of the temperature fluctuation item and the humidity fluctuation item, at least two temperature division range items and two humidity division range items are obtained, and then at least two environmental characteristic levels are obtained.

[0034] Furthermore, a comprehensive intelligent monitoring system for glue-impregnated fiber casing uses the comprehensive intelligent monitoring method for glue-impregnated fiber casing described above.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] A comprehensive intelligent monitoring method and system for a rubber-impregnated fiber casing, which determines the level of the acquired environmental characteristics and cuts the set monitoring threshold, combines the cut data with each other to obtain a first corresponding threshold and a second corresponding threshold, and uses the first corresponding threshold and the second corresponding threshold as updated monitoring items to replace the monitoring threshold, respectively, to obtain the temperature item and the humidity item in the environmental characteristics, thereby achieving the effect of taking advantage of the strengths and complementing the weaknesses of different environmental acquisition intervals, performing targeted monitoring on different attributes in the environmental characteristic items, and realizing a freely adjustable monitoring effect on the environmental attributes.

[0037] At the same time, when the impact of a certain environmental factor is smaller and the impact of another environmental factor is larger, the monitoring interval of the environmental factor with a larger impact is shortened, and the shortened monitoring interval is added to the monitoring interval of the environmental factor with a smaller impact. That is, the monitoring interval of the environmental factor with a larger impact is shortened, and the monitoring interval of the environmental factor with a smaller impact is expanded, thereby achieving the effect of time cutting and accumulation, and the monitoring of environmental attributes is more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the relationship among basic feature monitoring, basic feature feedback, environmental feature monitoring and environmental monitoring adjustment of the present invention;

[0039] Figure 2 It is a schematic flow chart of the processing method of the present invention;

[0040] Figure 3 It is a schematic diagram of the humidity cutting item and the humidity retaining item of the present invention;

[0041] Figure 4 A schematic diagram of a combination of a first corresponding threshold value and a second corresponding threshold value of the present invention;

[0042] Figure 5 A schematic diagram of the relationship between the first corresponding threshold value and the second corresponding threshold value of the present invention;

[0043] Figure 6 This is a schematic diagram of the relationship between the second first corresponding threshold value and the second corresponding threshold value of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] When monitoring the fiber casing, different temperatures and humidity will have a certain impact on the properties of the fiber casing. Therefore, the monitoring of environmental factors such as temperature and humidity cannot be ignored. Therefore, when monitoring the fiber casing normally, environmental factors also need to be monitored. However, when monitoring different environmental factors at the same time, it is impossible to carry out targeted monitoring of the environment unique to different regions. In some special environments, the impact of a single environmental factor will be greater than that of another environmental factor. Therefore, it is necessary to carry out more detailed monitoring of environmental factors with greater impact, while environmental factors with smaller impact can be relatively relaxed in monitoring. The technical solution provided by the present application cuts the set monitoring threshold according to the acquired environmental characteristics, and compares the cut data with each other. The first corresponding threshold value and the second corresponding threshold value are combined to obtain the first corresponding threshold value and the second corresponding threshold value, and the first corresponding threshold value and the second corresponding threshold value are used as the updated monitoring items to replace the monitoring threshold, respectively, to obtain the temperature item and the humidity item in the environmental characteristics, so as to achieve the effect of taking advantage of the strengths and weaknesses of different environmental acquisition intervals, and to perform targeted monitoring on different attributes in the environmental characteristic items. When the impact of a certain environmental factor is small and the impact of another environmental factor is large, the monitoring interval of the environmental factor with the larger impact is shortened, and the shortened monitoring interval is added to the monitoring interval of the environmental factor with the smaller impact, that is, the monitoring interval of the environmental factor with the larger impact is shortened, and the monitoring interval of the environmental factor with the smaller impact is expanded, so that the targeted monitoring of the environmental factor with the larger impact is achieved while reducing unnecessary resource consumption.

[0046] like Figure 1-Figure 2As shown, the present invention provides a technical solution: a comprehensive intelligent monitoring method and system for glue-impregnated fiber sleeves, including: basic feature monitoring: setting a monitoring threshold value to obtain a monitoring threshold value item, obtaining the basic features of the target fiber sleeve based on the monitoring threshold value item, and obtaining the basic feature item; basic feature feedback: outputting alarm feedback data based on the basic feature item; environmental feature monitoring: obtaining the environmental features of the target fiber sleeve based on the monitoring threshold value item to obtain the environmental feature item, and the environmental feature item includes a temperature item and a humidity item; environmental monitoring adjustment: dividing the environmental features into at least two levels, respectively setting environmental feature thresholds and cutting values ​​corresponding to different levels, judging and processing the obtained environmental feature items through a processing method, matching the corresponding cutting value to cut the monitoring threshold item, obtaining an updated monitoring item, and re-obtaining the environmental features of the target fiber sleeve based on the updated monitoring item, so as to achieve different The environment acquisition interval takes advantage of the advantages and disadvantages, and conducts targeted monitoring of environmental feature items; the processing method includes: step one: level judgment, based on the environmental feature threshold, judge the level of the temperature item and the humidity item, and obtain two target cutting values ​​respectively, and obtain the cutting temperature value and the cutting humidity value; step two: cutting allocation, based on the cutting temperature value and the cutting humidity value, cut the monitoring threshold item respectively to obtain the temperature cutting item and the humidity cutting item; step three: threshold update, based on the difference between the monitoring threshold item and the temperature cutting item and the humidity cutting item, obtain the temperature retention item and the humidity retention item respectively; step four: threshold combination, combine the temperature retention item, the humidity cutting item, the monitoring threshold item, and the humidity retention item, the temperature cutting item, and the monitoring threshold item, and obtain the first corresponding threshold and the second corresponding threshold respectively, and the first corresponding threshold and the second corresponding threshold obtain updated monitoring items.

[0047] It should be noted that when monitoring the fiber casing, in addition to monitoring the basic properties of the fiber casing, such as local discharge, leakage current, dielectric damage, capacitance and other conventional data, it is also necessary to consider the impact of environmental factors. For example, in high temperature weather, the aging of the material will be accelerated and thermal expansion of the fiber casing may occur. Therefore, it is also necessary to monitor the environmental characteristics. Different basic thresholds are set based on the different basic properties of the fiber casing. When the basic characteristics exceed the basic threshold, the alarm feedback data is output. In this process, environmental factors will also affect the basic properties, so it is necessary to monitor the environmental properties.

[0048] It should be noted that the environmental characteristics are divided into three levels, namely normal, mild and severe, and different environmental characteristic thresholds and cut-off values ​​are set for the three levels, where the cut-off values ​​are 0, 30% and 60%, corresponding to normal, mild and severe respectively. Since the environmental characteristic items include temperature items and humidity items, the levels of the temperature items and the humidity items are judged according to the acquired environmental characteristics, and the cutting temperature value and the cutting humidity value are obtained respectively. The set monitoring threshold is 10 minutes. According to the combination results of the cutting temperature value and the cutting humidity value with the monitoring threshold, and the difference between the monitoring threshold and the combination result, the temperature cutting item, the humidity cutting item, the temperature retention item and the humidity retention item are obtained respectively.

[0049] like Figure 3-Figure 4 As shown, in the specific implementation process, the environmental characteristics of the target fiber sleeve are obtained, the temperature is at a normal level, and the humidity is at a slight level. At this time, according to the set monitoring threshold of 10 minutes, the temperature cut item is 0, the temperature retention item is also 0, and the humidity cut item is 10min*30%=3min, and the humidity retention item is 10min-3min=7min. The temperature retention item, the humidity cut item, the monitoring threshold item, and the humidity retention item, the temperature cut item, and the monitoring threshold item are combined to obtain the first corresponding threshold and the second corresponding threshold, respectively. The first corresponding threshold and the second corresponding threshold obtain updated monitoring items, wherein the combination of the first corresponding threshold includes: temperature retention item, humidity cut item, monitoring threshold item, temperature retention item + humidity cut item, temperature retention item + monitoring threshold item, humidity cut item + monitoring threshold item, and temperature retention item + humidity cut item + monitoring threshold item, a total of seven, and the combination of the second corresponding threshold includes: There are also seven types in total, including humidity retention item, temperature cutting item, monitoring threshold item, humidity retention item + temperature cutting item, humidity retention item + monitoring threshold item, temperature cutting item + monitoring threshold item, and humidity retention item + temperature cutting item + monitoring threshold item. The first corresponding threshold and the second corresponding threshold are used as updated monitoring items to replace the monitoring threshold, respectively, to obtain the temperature item and humidity item in the environmental characteristics, so as to achieve the effect of taking advantage of the strengths and weaknesses of different environmental acquisition intervals, and conduct targeted monitoring of different attributes in the environmental characteristic items. When the impact of a certain environmental factor is smaller and the impact of another environmental factor is larger, the monitoring interval of the environmental factor with the larger impact is shortened, and the shortened monitoring interval is added to the monitoring interval of the environmental factor with the smaller impact, that is, the monitoring interval of the environmental factor with the larger impact is shortened, and the monitoring interval of the environmental factor with the smaller impact is expanded, so as to achieve targeted monitoring of the environmental factor with the larger impact while reducing unnecessary resource consumption.

[0050] The environmental characteristic threshold includes a temperature threshold, and the level judgment method includes: S1: first data acquisition, setting a first threshold, obtaining the average temperature of the target fiber sleeve based on the first threshold, and obtaining the average temperature item; S2: first threshold matching, based on the matching result of the average temperature item and the temperature threshold, obtaining the corresponding level of the temperature item, and then obtaining the temperature target cutting value, and then obtaining the cutting temperature value.

[0051] It should be noted that the first threshold is set to 10 minutes, the average temperature of the target fiber sleeve within 10 minutes is obtained, and the average temperature is matched with the temperature thresholds corresponding to different levels, so as to obtain the temperature item level corresponding to the target fiber sleeve and obtain the cutting temperature value.

[0052] The environmental characteristic threshold includes a humidity threshold, and the level judgment method includes M1: second data acquisition, setting a second threshold, obtaining the average humidity of the target fiber sleeve based on the second threshold, and obtaining the average humidity item; M2: second threshold matching, based on the matching result of the average humidity item and the humidity threshold, obtaining the corresponding level of the humidity item, and then obtaining the humidity target cutting value, and then obtaining the cutting humidity value.

[0053] It should be noted that the second threshold is set to 10 minutes, and the average humidity of the target fiber sleeve within 10 minutes is obtained, and the average humidity is matched with the humidity thresholds corresponding to different levels, so as to obtain the humidity item level corresponding to the target fiber sleeve and obtain the cutting humidity value.

[0054] The cutting allocation method includes: based on the cutting temperature value and the cutting humidity value, multiplying them with the monitoring threshold item respectively, the monitoring threshold item is the time range, the cutting temperature value and the cutting humidity value are respectively proportional data, and then obtaining the multiplied temperature time range and humidity time range, and marking them as temperature cutting item and humidity cutting item.

[0055] The method of threshold combination includes: level analysis, setting the initial level based on the levels of the temperature item and the humidity item, and judging whether the temperature item and the humidity item are at the initial level: N1: When the temperature item is at the initial level and the humidity item is not at the initial level, the combination result of the monitoring threshold item and the humidity cutting item is the first corresponding threshold, and the humidity retention item is the second corresponding threshold; N2: When the temperature item is not at the initial level and the humidity item is at the initial level, the temperature retention item is used as the first corresponding threshold, and the combination of the monitoring threshold item and the temperature cutting item is used as the second corresponding threshold; N3: When both the temperature item and the humidity item are not at the initial level, the temperature retention item and the humidity retention item are used as the first corresponding threshold and the second corresponding threshold respectively; N4: When both the temperature item and the humidity item are at the initial level, the monitoring threshold item is used as the first corresponding threshold and the second corresponding threshold respectively.

[0056] It should be noted that the initial level is set to normal, and it is determined whether the levels of the temperature item and the humidity item are normal levels.

[0057] like Figure 5 As shown, in the specific implementation process, the environmental characteristics of the target fiber sleeve are obtained, the temperature is at a normal level, and the humidity is at a slight level. At this time, according to the set monitoring threshold of 10 minutes, the temperature cut item is 0, the temperature retention item is 10 minutes, and the humidity cut item is 10 minutes*30%=3 minutes, and the humidity retention item is 10 minutes-3 minutes=7 minutes. Since the temperature item is at the initial level and the humidity item is not at the initial level at this time, the combination result of the monitoring threshold item and the humidity cut item is the first corresponding threshold, that is, the first corresponding threshold is 10 minutes+3 minutes=13 minutes, and the humidity retention item is used as the second corresponding threshold, that is, the second corresponding threshold is 7 minutes. Therefore, when obtaining the environmental characteristics of the target fiber sleeve, temperature data is obtained every 13 minutes, and humidity data is obtained every 7 minutes.

[0058] like Figure 6 As shown, in the specific implementation process, the environmental characteristics of the target fiber sleeve are obtained, the temperature is a slight level, and the humidity is a slight level. At this time, according to the set monitoring threshold of 10 minutes, the temperature cutting item is 10min*30%=3min, the temperature retention item is 10min-3min=7min, and the humidity cutting item is 10min*30%=3min, and the humidity retention item is 10min-3min=7min. Because the temperature item and the humidity item are not at the initial level at this time, the temperature retention item and the humidity retention item are respectively used as the first corresponding threshold and the second corresponding threshold, that is, the first corresponding threshold is 7min, and the second corresponding threshold is 7min. Therefore, when obtaining the environmental characteristics of the target fiber sleeve, temperature data is obtained every 7 minutes, and humidity data is obtained every 7 minutes.

[0059] The basic characteristics include leakage current, and the method for obtaining the basic characteristic items includes: selecting at least two first target devices as first monitoring devices, the first target device is a leakage current testing instrument, and obtaining leakage current data of the target fiber sleeve based on a monitoring threshold.

[0060] The basic characteristics include dielectric damage, and the method for obtaining the basic characteristic items includes: selecting at least two second target devices as second monitoring devices, the second target device is a dielectric loss tester, and obtaining dielectric damage data of the target fiber sleeve based on a monitoring threshold.

[0061] The method for acquiring environmental characteristic items includes: setting an acquisition threshold, setting at least two third equipment groups as third monitoring equipment, the third equipment group includes at least one temperature sensor and one humidity sensor, and acquiring the average temperature and average humidity of the target fiber sleeve based on the acquisition threshold to obtain the environmental characteristic items.

[0062] The method for classifying environmental characteristics includes: Z1: threshold setting, setting an acquisition threshold, and based on the acquisition threshold, obtaining the maximum temperature, maximum humidity, minimum temperature, and minimum humidity data of the target fiber sleeve to obtain temperature fluctuation items and humidity fluctuation items; Z2: segmentation, based on segmentation of the temperature fluctuation items and the humidity fluctuation items, obtaining at least two temperature division range items and two humidity division range items, and then obtaining at least two environmental characteristic levels.

[0063] It should be noted that the acquisition threshold is set to one year, and the highest temperature, highest humidity, lowest temperature, and lowest humidity data of the target fiber casing within the acquisition threshold are obtained. Since the temperature data fluctuates between the highest temperature and the lowest temperature, and the humidity data fluctuates between the highest humidity and the lowest humidity, the temperature and humidity are divided into three levels of normal, mild, and severe, and three temperature division ranges and humidity division ranges are obtained, thereby obtaining the environmental characteristic thresholds corresponding to environmental characteristics of different levels.

[0064] During the specific implementation process, it was obtained that the highest temperature of a fiber casing at its location within one year was 35°C, the lowest temperature was 14°C, the highest humidity was 80%, and the lowest humidity was 20%. At this time, the temperature was divided into three levels: normal, mild, and severe. The normal level temperature is 14°C-21°C, the mild level temperature is 21°C-28°C, and the severe level temperature is 28°C-35°C. The humidity was divided into three levels: normal level humidity is 20%-40%, mild level humidity is 40%-60%, and severe level humidity is 60%-80%.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A comprehensive intelligent monitoring method for glue-impregnated fiber casing, characterized in that: include: Basic feature monitoring: setting a monitoring threshold to obtain a monitoring threshold item, obtaining the basic features of the target fiber casing based on the monitoring threshold item, and obtaining a basic feature item; Basic feature feedback: Based on the basic feature items, output alarm feedback data; Environmental characteristic monitoring: obtaining the environmental characteristics of the target fiber casing based on the monitoring threshold item, and obtaining the environmental characteristic item, which includes the temperature item and the humidity item; Environmental monitoring adjustment: divide the environmental characteristics into at least two levels, set environmental characteristic thresholds and cut values ​​corresponding to different levels respectively, judge and process the acquired environmental characteristic items through processing methods, match the corresponding cut value to cut the monitoring threshold items, obtain updated monitoring items, and re-acquire the environmental characteristics of the target fiber casing based on the updated monitoring items, so as to achieve the effect of taking advantage of the strengths and weaknesses of different environmental acquisition intervals and conduct targeted monitoring of environmental characteristic items; The processing method comprises: Step 1: Level judgment: Based on the environmental feature threshold, the levels of the temperature item and the humidity item are judged, and two target cutting values ​​are obtained respectively, and the cutting temperature value and the cutting humidity value are obtained; Step 2: Cutting and allocating, based on the cutting temperature value and the cutting humidity value, the monitoring threshold items are cut respectively to obtain the temperature cutting item and the humidity cutting item; Step 3: Threshold update: based on the difference between the monitoring threshold item and the temperature cut item and the humidity cut item, the temperature retention item and the humidity retention item are obtained respectively; Step 4: Threshold combination, combine the temperature retention item, humidity cut item, monitoring threshold item and the humidity retention item, temperature cut item, monitoring threshold item to obtain the first corresponding threshold and the second corresponding threshold respectively, and the first corresponding threshold and the second corresponding threshold are used to obtain the updated monitoring item.

2. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The environmental characteristic threshold includes a temperature threshold, and the level determination method includes: S1: first data acquisition, setting a first threshold, acquiring an average temperature of a target fiber casing based on the first threshold, and obtaining an average temperature item; S2: First threshold matching, based on the matching result between the average temperature item and the temperature threshold, the corresponding level of the temperature item is obtained, and then the temperature target cutting value is obtained, and then the cutting temperature value is obtained.

3. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1 is characterized in that: The environmental characteristic threshold includes a humidity threshold, and the level determination method includes: M1: second data acquisition, setting a second threshold, acquiring the average humidity of the target fiber sleeve based on the second threshold, and obtaining an average humidity item; M2: Second threshold matching, based on the matching result between the average humidity item and the humidity threshold, the corresponding level of the humidity item is obtained, and then the humidity target cutting value is obtained, and then the cutting humidity value is obtained.

4. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The cutting allocation method includes: based on the cutting temperature value and the cutting humidity value, multiplying them with the monitoring threshold items respectively, the monitoring threshold items are the time range, the cutting temperature value and the cutting humidity value are the proportional data respectively, and then obtaining the multiplied temperature time range and humidity time range, and marking them as temperature cutting items and humidity cutting items.

5. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The threshold combination method includes: level analysis, setting the initial level based on the level of the temperature item and the humidity item, and judging whether the temperature item and the humidity item are at the initial level: N1: When the temperature item is at the initial level and the humidity item is not at the initial level, the combination result of the monitoring threshold item and the humidity cut item is the first corresponding threshold, and the humidity retention item is the second corresponding threshold; N2: When the temperature item is not at the initial level and the humidity item is at the initial level, the temperature retention item is used as the first corresponding threshold, and the combination of the monitoring threshold item and the temperature cutting item is used as the second corresponding threshold; N3: When both the temperature item and the humidity item are not at the initial level, the temperature retention item and the humidity retention item are used as the first corresponding threshold and the second corresponding threshold respectively; N4: When the temperature item and the humidity item are both at the initial level, the monitoring threshold items are used as the first corresponding threshold and the second corresponding threshold respectively.

6. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The basic feature includes leakage current, and the method for obtaining the basic feature item includes: selecting at least two first target devices as first monitoring devices, the first target device is a leakage current testing instrument, and obtaining leakage current data of the target fiber sleeve based on a monitoring threshold.

7. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The basic characteristics include dielectric damage, and the method for obtaining the basic characteristic items includes: selecting at least two second target devices as second monitoring devices, the second target devices are dielectric loss testers, and obtaining dielectric damage data of the target fiber sleeve based on a monitoring threshold.

8. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The method for acquiring environmental characteristic items includes: setting an acquisition threshold, setting at least two third equipment groups as third monitoring equipment, the third equipment group includes at least one temperature sensor and one humidity sensor, acquiring the average temperature and average humidity of the target fiber sleeve based on the acquisition threshold, and obtaining the environmental characteristic items.

9. The all-round intelligent monitoring method for glue-impregnated fiber casing according to claim 1, characterized in that: The method for classifying the environmental characteristics comprises: Z1: Threshold setting, setting the acquisition threshold, based on the acquisition threshold, obtaining the highest temperature, highest humidity, lowest temperature, and lowest humidity data of the target fiber casing, and obtaining the temperature fluctuation item and the humidity fluctuation item; Z2: Segment division, based on segment division of the temperature fluctuation item and the humidity fluctuation item, at least two temperature division range items and two humidity division range items are obtained, and then at least two environmental characteristic levels are obtained.

10. An all-round intelligent monitoring system for glue-impregnated fiber casing, characterized in that: A comprehensive intelligent monitoring method for a glue-impregnated fiber casing as described in any one of claims 1 to 9 is used.

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