Infrared temperature measurement observation system and control method thereof

Abstract

The invention relates to the technical field of cable branch boxes, in particular to an infrared temperature measurement observation system and a control method thereof. Comprising the following steps: setting a plurality of observation periods according to an inspection plan, and setting an end time node of each observation period as an observation time node; establishing a plurality of monitoring points according to the branch box equipment parameters, and judging whether each observation time node is corrected or not according to the monitoring data of each monitoring point; the temperature measurement unit obtains an infrared image in the branch box at an observation time node; an operation risk value is generated according to the internal infrared image, and whether a maintenance instruction is generated or not is judged according to the operation risk value; an original cable branch box is improved, a plurality of sensors are arranged in the cable branch box, the internal environment is monitored in real time, and meanwhile, a temperature measuring unit is arranged at an original observation window, so that infrared images in the cable branch box are periodically collected, the monitoring efficiency of the cable branch box is improved, and early warning is carried out on internal fault risks in time.

Description

Technical Field

[0001] The present application relates to the technical field of cable branch boxes, and in particular to an infrared temperature measurement and observation system and a control method thereof. Background Art

[0002] Cable branch boxes are usually installed outdoors. The ambient temperature has a great influence on the performance parameters of the branch boxes, especially in the southern region, which may even cause excessive humidity in the box, condensation, and even rust on the tap terminals. Due to overload and other factors, the heat generated by the equipment in the box cannot be discharged in time, resulting in excessive temperature. Long-term overload operation will leave the box with multiple adverse hidden dangers such as rapid insulation aging and reduced insulation level.

[0003] The monitoring of low-voltage cable branch boxes is traditionally carried out mainly through fixed-period manual inspections or fault repairs, which can easily lead to problems such as insufficient maintenance leading to the spread of faults and excessive maintenance leading to waste of manpower. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides an infrared temperature measurement observation system and a control method thereof, aiming to improve the monitoring efficiency of the branch box and ensure the safe operation of the cable branch box.

[0005] In some embodiments of the present application, the original cable branch box is improved by installing multiple sensors inside to monitor the internal environment in real time. At the same time, a temperature measuring unit is installed at the original observation window to periodically collect infrared images of the inside of the cable branch box, thereby improving the monitoring efficiency of the branch box and providing timely warning of internal fault risks.

[0006] In some embodiments of the present application, by combining the environmental monitoring data inside the branch box with infrared image data, periodic monitoring and early warning of potential failure risks in the branch box are performed to help management personnel make maintenance decisions and reduce overall maintenance costs.

[0007] In some embodiments of the present application, a control method for an infrared temperature measurement observation system is provided, comprising:

[0008] Set multiple observation cycles according to the inspection plan, and set the end time node of each observation cycle as the observation time node;

[0009] Establish multiple monitoring points according to the branch box equipment parameters, and determine whether to correct each observation time node based on the monitoring data of each monitoring point;

[0010] The temperature measurement unit obtains the infrared image inside the branch box at the observation time node.

[0011] Generate an operation risk value based on the internal infrared image, and determine whether to generate a maintenance instruction based on the operation risk value;

[0012] When multiple observation periods are set, it includes:

[0013] Construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

[0014] In some embodiments of the present application, when determining whether to correct each observation time node according to the monitoring data of each monitoring point, it includes:

[0015] Set multiple feedback time nodes within the current observation period;

[0016] Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node;

[0017] Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b;

[0018] Preset a first environmental disturbance value threshold B1;

[0019] If b<B1, no correction instruction is generated at the current feedback time node;

[0020] If b≥B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction.

[0021] In some embodiments of the present application, when generating the environmental disturbance value b of the current feedback time node, it includes:

[0022]

[0023] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

[0024] In some embodiments of the present application, when the temperature measuring unit acquires the infrared image inside the branch box at the observation time node, it includes:

[0025] Get the environmental disturbance value b1 at the current observation time node;

[0026] Set the number of acquisitions m at the current observation time node according to the environmental disturbance value b1;

[0027] Generate an infrared image sequence D of the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image inside the branch box collected at the current observation time node.

[0028] In some embodiments of the present application, when generating an operation risk value according to an internal infrared image, the process includes:

[0029] According to the infrared image sequence D, set di as the target infrared image in sequence;

[0030] Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image;

[0031] Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image;

[0032] Generate the operating risk value f according to the initial risk value sequence K;

[0033] Preset a first operation risk value threshold F1 and a second risk operation value threshold F2;

[0034] If f≤F1, no maintenance instruction is generated at the current observation time node;

[0035] If F1<f≤F2, the current observation time node generates a first-level maintenance instruction;

[0036] If f>F2, a secondary maintenance instruction is generated at the current observation time node.

[0037] In some embodiments of the present application, when generating the operation risk value f according to the initial risk value sequence K, it includes:

[0038]

[0039] f = r * H;

[0040] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

[0041] In some embodiments of the present application, an infrared temperature measurement and observation system is provided, comprising:

[0042] The central control unit is used to set multiple observation cycles according to the inspection plan, and set the end time node of each observation cycle as the observation time node;

[0043] The monitoring unit is also used to establish multiple monitoring points according to branch box equipment parameters;

[0044] A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are arranged at monitoring points and are used to collect monitoring data of the monitoring points;

[0045] The temperature measuring unit is arranged at the observation window of the branch box equipment and is used to collect infrared images inside the branch box;

[0046] The central control unit comprises:

[0047] The first processing module is used to determine whether to correct each observation time node according to the monitoring data of each monitoring point;

[0048] The first control module is used to set the working parameters of the temperature measurement unit at each observation time node;

[0049] A second processing module is used to generate an operation risk value according to the internal infrared image, and determine whether to generate a maintenance instruction according to the operation risk value;

[0050] The third processing module is used to construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

[0051] In some embodiments of the present application, the first processing module is further used to:

[0052] Set multiple feedback time nodes within the current observation period;

[0053] Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node;

[0054] Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b;

[0055] Preset a first environmental disturbance value threshold B1;

[0056] If b<B1, no correction instruction is generated at the current feedback time node;

[0057] If b ≥ B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction;

[0058] Among them, when generating the environmental disturbance value b of the current feedback time node, it includes:

[0059]

[0060] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

[0061] In some embodiments of the present application, the first control module is further used to:

[0062] Get the environmental disturbance value b1 at the current observation time node;

[0063] The number of collection times m at the current observation time node is set according to the environmental disturbance value b1.

[0064] In some embodiments of the present application, the second processing module is further used to:

[0065] Obtain the infrared image sequence D at the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image collected inside the cable branch box at the current observation time node;

[0066] According to the infrared image sequence D, set di as the target infrared image in sequence;

[0067] Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image;

[0068] Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image;

[0069] Generate the operating risk value f according to the initial risk value sequence K;

[0070]

[0071] f = r * H;

[0072] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

[0073] Compared with the prior art, the infrared temperature measurement observation system and control method of the present application embodiment have the following beneficial effects:

[0074] The original cable branch box is improved by installing multiple sensors inside to monitor the internal environment in real time. At the same time, a temperature measurement unit is set at the original observation window to periodically collect infrared images inside the cable branch box, improve the monitoring efficiency of the branch box, and provide timely warning of internal fault risks.

[0075] By combining the environmental monitoring data inside the branch box with infrared image data, periodic monitoring and early warning of potential failure risks in the branch box are carried out to help managers make maintenance decisions and reduce overall maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a flow chart of a control method of an infrared temperature measurement and observation system in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0077] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0078] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0079] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0080] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0081] like Figure 1 As shown, a control method of an infrared temperature measurement observation system in a preferred embodiment of the present application includes:

[0082] S101: setting multiple observation cycles according to the inspection plan, and setting the end time node of each observation cycle as the observation time node;

[0083] S102: Establish multiple monitoring points according to branch box equipment parameters, and determine whether to correct each observation time node according to monitoring data of each monitoring point;

[0084] S103: The temperature measuring unit obtains an infrared image inside the branch box at the observation time node;

[0085] S104: generating an operation risk value according to the internal infrared image, and determining whether to generate a maintenance instruction according to the operation risk value;

[0086] When multiple observation periods are set, it includes:

[0087] Construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

[0088] Specifically, multiple monitoring points are set according to the internal structure and historical parameters of the branch box, and various sensors, such as acoustic sensors, temperature sensors and humidity sensors, are set at the monitoring points to monitor the temperature, humidity, abnormal sound and other parameters inside the branch box in real time.

[0089] It can be understood that in the above embodiment, the original cable branch box is improved, and multiple sensors are set inside to monitor the internal environment in real time. At the same time, a temperature measuring unit is set at the original observation window to periodically collect infrared images inside the cable branch box, thereby improving the monitoring efficiency of the branch box and timely warning of internal fault risks.

[0090] In a preferred embodiment of the present application, when judging whether to correct each observation time node according to the monitoring data of each monitoring point, it includes:

[0091] Set multiple feedback time nodes within the current observation period;

[0092] Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node;

[0093] Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b;

[0094] Preset a first environmental disturbance value threshold B1;

[0095] If b<B1, no correction instruction is generated at the current feedback time node;

[0096] If b≥B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction.

[0097] Specifically, when generating the environmental disturbance value b of the current feedback time node, it includes:

[0098]

[0099] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

[0100] Specifically, by presetting the first fixed coefficient and the second fixed coefficient, all parameters in the model are normalized so that each parameter is within the same value range.

[0101] Specifically, environmental evaluation indicators include but are not limited to temperature, humidity, abnormal noise level and other parameters.

[0102] Specifically, the greater the environmental disturbance value is, the greater the deviation of the current environment inside the branch box from the safe value is, and the greater the possibility of an operational failure is.

[0103] Specifically, the first-level correction instruction is to set the current feedback time node as the observation time node of the current observation cycle, so as to collect real-time infrared images inside the branch box, and end the current observation cycle after the collection is completed. At the same time, the ventilation equipment set in the branch box is turned on to reduce the temperature and humidity parameters inside the cable branch box.

[0104] Specifically, the larger the historical evaluation value is, the greater the deviation between the actual value and the standard value of each environmental evaluation indicator in the branch box is between the start time node of the current observation cycle and the current feedback time node.

[0105] It can be understood that in the above embodiment, the internal environmental parameters of the branch box are periodically monitored and environmental disturbance values ​​are generated, and the observation time nodes are dynamically corrected according to the real-time environmental disturbance values, thereby improving the monitoring efficiency of the branch box.

[0106] In a preferred embodiment of the present application, when the temperature measuring unit acquires the infrared image inside the branch box at the observation time node, it includes:

[0107] Get the environmental disturbance value b1 at the current observation time node;

[0108] Set the number of acquisitions m at the current observation time node according to the environmental disturbance value b1;

[0109] Generate an infrared image sequence D of the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image inside the branch box collected at the current observation time node.

[0110] Specifically, when generating an operational risk value based on internal infrared images, it includes:

[0111] According to the infrared image sequence D, set di as the target infrared image in sequence;

[0112] Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image;

[0113] Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image;

[0114] Generate the operating risk value f according to the initial risk value sequence K;

[0115] Preset a first operation risk value threshold F1 and a second risk operation value threshold F2;

[0116] If f≤F1, no maintenance instruction is generated at the current observation time node;

[0117] If F1<f≤F2, the current observation time node generates a first-level maintenance instruction;

[0118] If f>F2, a secondary maintenance instruction is generated at the current observation time node.

[0119] Specifically, when generating the operating risk value f according to the initial risk value sequence K, it includes:

[0120]

[0121] f = r * H;

[0122] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

[0123] Specifically, abnormal temperature points on a single infrared image are extracted, and all abnormal temperature points are analyzed according to a preset analysis model to generate an initial risk value for a single infrared image. The more abnormal temperature points there are and the larger the abnormal temperature area is, the larger the corresponding initial risk value is.

[0124] Specifically, the first-level maintenance instruction means that there may be abnormal operation in the current branch box, and the corresponding maintenance strategy needs to be formulated in combination with the status parameters of the remaining branch boxes in the same period to improve its maintenance efficiency. The second-level maintenance instruction means that there is abnormal operation in the current branch box, and maintenance is required immediately to avoid operational failures.

[0125] Specifically, by presetting the third fixed coefficient and the fourth fixed coefficient, all parameters in the model are normalized so that each parameter is within the same value range.

[0126] Specifically, the environmental disturbance value b1 indicates that the greater the disturbance caused by the current environmental parameters to the stable operation inside the current branch box, the greater the corresponding compensation coefficient.

[0127] It can be understood that in the above embodiment, by combining the environmental monitoring data inside the branch box with the infrared image data, periodic monitoring and early warning of potential failure risks in the branch box are carried out to help management personnel make maintenance decisions and reduce overall maintenance costs.

[0128] Based on another preferred embodiment of a control method of an infrared temperature measurement observation system in any of the above preferred embodiments, this preferred embodiment provides an infrared temperature measurement observation system, including:

[0129] The central control unit is used to set multiple observation cycles according to the inspection plan, and set the end time node of each observation cycle as the observation time node;

[0130] The monitoring unit is also used to establish multiple monitoring points according to branch box equipment parameters;

[0131] A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are arranged at monitoring points and are used to collect monitoring data of the monitoring points;

[0132] The temperature measuring unit is arranged at the observation window of the branch box equipment and is used to collect infrared images inside the branch box;

[0133] The central control unit includes:

[0134] The first processing module is used to determine whether to correct each observation time node according to the monitoring data of each monitoring point;

[0135] The first control module is used to set the working parameters of the temperature measurement unit at each observation time node;

[0136] A second processing module is used to generate an operation risk value according to the internal infrared image, and determine whether to generate a maintenance instruction according to the operation risk value;

[0137] The third processing module is used to construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

[0138] Specifically, the monitoring submodule is preferably various sensors, such as acoustic wave sensors, temperature sensors and humidity sensors, so as to perform real-time monitoring of parameters such as temperature, humidity, abnormal noise, etc. inside the branch box.

[0139] Specifically, the temperature measuring unit is preferably an infrared thermal imaging device, which is arranged at the observation window of the branch box and can perform infrared imaging of the interior of the branch box.

[0140] The embodiment of the present application is preferably an embodiment, wherein the first processing module is further used for:

[0141] Set multiple feedback time nodes within the current observation period;

[0142] Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node;

[0143] Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b;

[0144] Preset a first environmental disturbance value threshold B1;

[0145] If b<B1, no correction instruction is generated at the current feedback time node;

[0146] If b ≥ B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction;

[0147] Among them, when generating the environmental disturbance value b of the current feedback time node, it includes:

[0148]

[0149] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

[0150] In a preferred embodiment of the present application, the first control module is also used for:

[0151] Get the environmental disturbance value b1 at the current observation time node;

[0152] The number of collection times m at the current observation time node is set according to the environmental disturbance value b1.

[0153] Specifically, the second processing module is further used for:

[0154] Obtain the infrared image sequence D at the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image collected inside the cable branch box at the current observation time node;

[0155] According to the infrared image sequence D, set di as the target infrared image in sequence;

[0156] Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image;

[0157] Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image;

[0158] Generate the operating risk value f according to the initial risk value sequence K;

[0159]

[0160] f = r * H;

[0161] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

[0162] According to the first concept of the present application, the original cable branch box is improved by installing multiple sensors inside to monitor the internal environment in real time. At the same time, a temperature measuring unit is installed at the original observation window to periodically collect infrared images inside the cable branch box, thereby improving the monitoring efficiency of the branch box and providing timely warning of internal fault risks.

[0163] According to the second concept of the present application, by combining the environmental monitoring data inside the branch box with the infrared image data, periodic monitoring and early warning of potential failure risks in the branch box are carried out to help management personnel make maintenance decisions and reduce overall maintenance costs.

[0164] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A control method for an infrared temperature measurement observation system, characterized in that: include: Set multiple observation cycles according to the inspection plan, and set the end time node of each observation cycle as the observation time node; Establish multiple monitoring points according to the branch box equipment parameters, and determine whether to correct each observation time node based on the monitoring data of each monitoring point; The temperature measurement unit obtains the infrared image inside the branch box at the observation time node. Generate an operation risk value based on the internal infrared image, and determine whether to generate a maintenance instruction based on the operation risk value; When multiple observation periods are set, it includes: Construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

2. The control method of the infrared temperature measurement observation system according to claim 1, characterized in that: When judging whether to correct each observation time node based on the monitoring data of each monitoring point, it includes: Set multiple feedback time nodes within the current observation period; Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node; Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b; Preset a first environmental disturbance value threshold B1; If b<B1, no correction instruction is generated at the current feedback time node; If b≥B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction.

3. The control method of the infrared temperature measurement observation system according to claim 2, characterized in that: When generating the environmental disturbance value b of the current feedback time node, it includes: Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

4. The control method of the infrared temperature measurement observation system according to claim 3, characterized in that: When the temperature measurement unit obtains the infrared image inside the branch box at the observation time node, it includes: Get the environmental disturbance value b1 at the current observation time node; Set the number of acquisitions m at the current observation time node according to the environmental disturbance value b1; Generate an infrared image sequence D of the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image inside the branch box collected at the current observation time node.

5. The control method of the infrared temperature measurement observation system according to claim 4, characterized in that: When generating an operational risk value based on internal infrared images, this includes: According to the infrared image sequence D, set di as the target infrared image in sequence; Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image; Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image; Generate the operating risk value f according to the initial risk value sequence K; Preset a first operation risk value threshold F1 and a second risk operation value threshold F2; If f≤F1, no maintenance instruction is generated at the current observation time node; If F1<f≤F2, the current observation time node generates a first-level maintenance instruction; If f>F2, a secondary maintenance instruction is generated at the current observation time node.

6. The control method of the infrared temperature measurement observation system according to claim 5, characterized in that: When generating the operating risk value f according to the initial risk value sequence K, it includes: f = r * H; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

7. An infrared temperature measurement observation system, using the control method of the infrared temperature measurement observation system according to any one of claims 1 to 6, characterized in that: include: The central control unit is used to set multiple observation cycles according to the inspection plan, and set the end time node of each observation cycle as the observation time node; The monitoring unit is also used to establish multiple monitoring points according to branch box equipment parameters; A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are arranged at monitoring points and are used to collect monitoring data of the monitoring points; The temperature measuring unit is arranged at the observation window of the branch box equipment and is used to collect infrared images inside the branch box; The central control unit comprises: The first processing module is used to determine whether to correct each observation time node according to the monitoring data of each monitoring point; The first control module is used to set the working parameters of the temperature measurement unit at each observation time node; A second processing module is used to generate an operation risk value according to the internal infrared image, and determine whether to generate a maintenance instruction according to the operation risk value; The third processing module is used to construct an observation period sequence A, A = (a1, a2...ai...an), where ai is the i-th observation period and n is the number of observation periods.

8. The infrared temperature measurement and observation system according to claim 7, characterized in that: The first processing module is also used for: Set multiple feedback time nodes within the current observation period; Obtain the monitoring data of each monitoring point at the current feedback time node, and generate the environmental disturbance value b at the current feedback time node; Determine whether to generate a correction instruction at the current feedback time node according to the environmental disturbance value b; Preset a first environmental disturbance value threshold B1; If b<B1, no correction instruction is generated at the current feedback time node; If b ≥ B1, the current feedback time node generates a first-level correction instruction, and the current feedback time node is set as the observation time node of the current observation period according to the first-level correction instruction; Among them, when generating the environmental disturbance value b of the current feedback time node, it includes: Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of environmental evaluation indicators; ηi is the influencing factor of the i-th environmental evaluation indicator; ci is the reference value of the i-th environmental evaluation indicator at the current feedback time node; c'i is the standard reference value of the i-th environmental evaluation indicator; U is the historical reference value generated based on the monitoring data between the start time node of the current observation period and the current feedback time node.

9. The infrared temperature measurement and observation system according to claim 8, characterized in that: The first control module is also used for: Get the environmental disturbance value b1 at the current observation time node; The number of collection times m at the current observation time node is set according to the environmental disturbance value b1.

10. The infrared temperature measurement and observation system according to claim 9, characterized in that: The second processing module is also used for: Obtain the infrared image sequence D at the current observation time node, D = (d1, d2...di...dm), where di is the i-th infrared image collected inside the cable branch box at the current observation time node; According to the infrared image sequence D, set di as the target infrared image in sequence; Extract characteristic parameters of the target infrared image according to the preset evaluation model, and generate an initial risk value k of the target infrared image; Generate the initial risk value of each infrared image in turn, and establish the initial risk value sequence K of the current observation time node, K = (k1, k2...ki...km), where ki is the initial risk value of the i-th infrared image; Generate the operating risk value f according to the initial risk value sequence K; f = r * H; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; c' is the preset first threshold; Y(i) is the selection coefficient; if (ci-c')>0, then Y(i)=1 / (ci-c'); if (ci-c')<0, then Y(i)=0; r is the compensation coefficient set based on the environmental disturbance value b1 of the current observation time node.

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