Fireproof plugging material identification and statistics method for cable

Abstract

The application discloses a kind of cable fireproof plugging material identification and statistics method, it is related to material identification technical field, solve the technical problem that the use of cable fireproof plugging material in prior art cannot be according to sample library record to carry out reasonable consumption statistics, specifically, material use pre-statistical unit carries out pre-statistical analysis to cable material, constructs sample library, and according to the material quantity increase of using cable, it is sent to material management platform together with real-time sample library record type is completed;Material detection identification unit carries out fireproof plugging material identification to use cable, carries out image identification to cable material by image identification technology, obtains the picture of each part of cable according to acquisition image, and is marked as identification detection picture;And identification detection picture is analyzed to identify fireproof plugging material.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of material identification, in particular to a cable fireproof plugging material identification and statistics method. BACKGROUND

[0002] The cable fireproof plugging material, also commonly known as fireproof mortar, is made of synthetic resin as an adhesive, adding fire retardant, filler and the like through grinding and mixing. It has good plasticity and flexibility, can adapt to the plugging of holes of various shapes, is convenient to construct, and can be repeatedly used. At present, the design of cable fireproof plugging in a substation is mostly based on two-dimensional design, and material statistics and collection are often manually counted after the design drawings are completed, and the original material table is manually converted according to a certain proportion.

[0003] However, in the prior art, the use of cable fireproof plugging material cannot be reasonably consumed and counted according to the sample library record, and the sample library material type cannot be improved according to the cable identification, which reduces the cable fireproof plugging efficiency. In addition, the plugging efficiency cannot be evaluated according to the material identification, which reduces the accuracy of material consumption statistics, and cannot maximize the avoidance of material consumption fluctuation.

[0004] In view of the above technical defects, a solution is proposed. SUMMARY

[0005] The purpose of the present application is to solve the problems mentioned above, and a cable fireproof plugging material identification and statistics method is proposed.

[0006] The purpose of the present application can be achieved by the following technical solutions:

[0007] A cable fireproof plugging material identification and statistics method, comprising a material control platform, the material control platform being communicatively connected with a material use pre-statistics unit, a cable consumption position prediction unit, a material detection and identification unit, and a cable plugging efficiency inspection unit;

[0008] The material use pre-statistics unit performs pre-statistical analysis on the cable material, constructs a sample library, and according to the increase of the material quantity of the used cable, the sample library record type is sent to the material control platform in real time;

[0009] The cable consumption position prediction signal predicts the damage position of the currently used cable, divides the currently used cable into a shaped part and a non-shaped part, collects bending toughness data and straight line stress data, divides the material type according to data comparison, and adjusts the sample library according to the division type;

[0010] The material detection and identification unit identifies the fireproof plugging material using the cable, identifies the cable material through image recognition technology, obtains pictures of each part of the cable according to the collected images, and marks the pictures as identification and detection pictures; and analyzes the identification and detection pictures to identify the fireproof plugging material.

[0011] The cable plugging efficiency verification unit verifies the plugging efficiency of the cable material, collects plugging and timely information and plugging stability information, and judges the plugging efficiency according to the information comparison.

[0012] As a preferred embodiment of the present application, the pre-statistical analysis process is as follows:

[0013] According to the current cable material operation parameters, specifically the cable communication speed, the cable surface insulation protection voltage value and the cable transmission surface temperature; and according to the operation parameter range of the operation parameters exceeding the range obtained from the historical operation period of the cable material of different material types, and marking the red line range, and selecting the fireproof plugging material according to the red line range, and marking the fireproof plugging material whose adaptive operation parameter range covers the red line range as the warehouse material, and combining the fireproof plugging material type added in the real-time sample library, the shapeable shape of the fireproof plugging material type in the sample library is recorded, that is, the shape of the fireproof plugging material is constructed according to the gap of the cable to fill the gap.

[0014] As a preferred embodiment of the present application, the bending toughness data and the straight line stress data are respectively the continuous extension distance span of the same gap track after the gap of the shaped part in the cable operation stage of any material, and the wound surface deformation frequency floating deviation value of the wound surface at different time after the gap of the non-shaped part in the cable operation stage of any material.

[0015] As a preferred embodiment of the present application, if the bending toughness data exceeds the extension distance span threshold, it is marked as a high toughness requirement material; if the straight line stress data exceeds the frequency floating threshold, it is marked as a high load requirement material; if the bending toughness data does not exceed the extension distance span threshold, and the straight line stress data does not exceed the frequency floating threshold, it is marked as a low requirement material.

[0016] As a preferred embodiment of the present application, the sample library is recorded according to the real-time cable material type to increase or decrease the fireproof plugging material type, and the toughness grade and the bearing capacity grade are divided according to the national standard or the line standard of each type of fireproof plugging material, and when there is no high toughness requirement material or high bearing requirement material, if the shapeable shape corresponding to the high toughness grade or the high bearing grade is not recorded in the sample library, it is not actively recorded and added; when there is no high toughness requirement material or high bearing requirement material, if the shapeable shape corresponding to the high toughness grade or the high bearing grade is not recorded in the sample library, it is preferentially recorded and added.

[0017] As a preferred embodiment of the present application, the material identification process is as follows:

[0018] Data acquisition is performed on the recognition detection picture through a sensor to obtain cable surface color contrast information in the recognition detection picture, wherein the color contrast information includes brightness contrast number and hue contrast number;According to the cable surface color contrast information collection analysis, the deviation position of the cable surface is obtained, specifically, when any value in the cable surface color contrast information fluctuates, the corresponding position is marked as the deviation position;

[0019] The temperature rising process of the deviation position is obtained in the cable operation stage, that is, the temperature fluctuation interval since the starting operation time, according to the type characteristics of the fireproof plugging material of the deviation position and the gap depth before the deviation position is plugged, the filling depth of the fireproof plugging material of the deviation position is obtained, and the use amount of the fireproof plugging material of the deviation position is obtained in combination with the area of the deviation position.

[0020] As a preferred embodiment of the present application, the use amount of the fireproof plugging material of each deviation position is counted and compared with the expenditure amount of the material calling log in the sample library at each time, if the deviation of any time exceeds the set range, or the deviation of any adjacent time exceeds the floating span threshold, it is concluded that the material statistics deviation, and the consumption amount is self-checked and counted;If the deviation of any time does not exceed the set range, and the deviation of any adjacent time does not exceed the floating span threshold, it is concluded that the material statistics is accurate, and the material calling log of the sample library is used as the standard value, and the use amount statistics is used as the standard verification value.

[0021] As a preferred embodiment of the present application, the plugging timely information and the plugging stable information are respectively the elongated distance value of the gap track before the material plugging time when the cable material appears the gap situation, and the maximum deviation value of the temperature fluctuation span of each position on the surface of the plugging material after the material plugging time when the cable material appears the gap situation.

[0022] As a preferred embodiment of the present application, if the plugging timely information exceeds the elongated distance threshold, or the plugging stable information exceeds the maximum deviation threshold of the temperature span, a low-efficiency plugging signal is generated;If the plugging timely information does not exceed the elongated distance threshold, and the plugging stable information does not exceed the maximum deviation threshold of the temperature span, a high-efficiency plugging signal is generated.

[0023] Compared with the prior art, the present application has the following advantages:

[0024] 1、In the present application, the sample library of the fireproof plugging material suitable for the current cable material is constructed by pre-statistics, different types and different sizes of plugging sample library are established first, the unit use amount of different materials of each sample is completed, and the consumption monitoring of the fireproof plugging material is ensured;

[0025] The current cable is damaged position prediction, and the type of fireproof plugging material is limited according to the predicted damage position, so as to detect the type of the recorded material in the sample library, ensure that the fireproof plugging material in the sample library and the corresponding recorded shape can meet the current cable damage demand, improve the type of fireproof plugging material in the sample library, reduce the risk of cable damage, and accurately perform fireproof plugging material consumption statistics, and according to the low-risk cable damage position, the recorded material type stored in the sample library is screened, and the storage space pressure of the sample library is reduced.

[0026] 2、In the present application, the fireproof plugging material for cable is identified, so as to test the efficiency of the fireproof plugging material for filling the cable gap, improve the use efficiency of the fireproof plugging material, replenish in time when the fireproof plugging material fills the abnormal gap, and at the same time, the fireproof plugging material consumption statistics can be carried out during the use of the cable, and the use progress of the sample library can be verified according to the real-time use test, and the deviation of manual statistics will not appear;

[0027] The plugging efficiency of the cable material is tested, so as to evaluate the plugging efficiency of the cable material, ensure the running stability of the cable, and according to the efficiency test, whether the plugging efficiency meets the current demand is inferred, the type of the fireproof plugging material in the sample library can be replaced in time when the efficiency is abnormal, and the material statistical amount at each moment can be ensured to be accurate when the type does not need to be replaced, so as to avoid the deviation of the current moment statistics caused by plugging abnormality after the statistics is completed. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to facilitate the understanding of those skilled in the art, the present application will be further described below in conjunction with the drawings.

[0029] Figure 1 The principle diagram of the first embodiment of the present application;

[0030] Figure 2 The principle diagram of the second embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to make the person skilled in the art better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely below in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0032] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0033] Example 1

[0034] Please see Figure 1 As shown, a method for identifying and statistically analyzing cable fireproof sealing materials includes a material management platform. The material management platform is communicatively connected to a material usage pre-statistics unit, a cable consumption location prediction unit, a material detection and identification unit, and a cable sealing efficiency verification unit.

[0035] This embodiment identifies and detects cable materials and identifies the fire-stopping materials used in the cables to facilitate the statistical analysis of fire-stopping material consumption.

[0036] As a preferred feasibility example, after the material management platform determines that the cable material is put into use, the material usage pre-statistics unit performs pre-statistical analysis on the cable material. Through pre-statistics, a sample library of fireproof sealing materials suitable for the current cable material is constructed. First, a sample library of sealing materials of different types and sizes is established, and the unit usage of different materials for each sample is completed to ensure the monitoring of the consumption of fireproof sealing materials.

[0037] Based on the current operating parameters of the cable materials, specifically the cable communication speed, cable surface insulation protection voltage, and cable transmission surface temperature, the cable surface insulation protection voltage is represented as the maximum passable voltage under the condition that the cable surface insulation performance meets the requirements. Furthermore, based on the historical operating periods of cable materials of the same material type, operating parameter ranges exceeding the specified limits are obtained and marked as red lines. Fire-stopping materials are then screened according to these red lines, and those fire-stopping materials whose operating parameter ranges cover the red lines are marked as materials to be added to the inventory. In conjunction with the types of fire-stopping materials added to the real-time sample library, the malleable shapes of the fire-stopping material types in the sample library are recorded. This means that the shape of the fire-stopping material is constructed according to the gaps in the cable to fill the gaps. It should be explained that different types of fire-stopping materials, in addition to their applicable operating ranges, have inherent material characteristics such as toughness and variability. The shape is constructed according to different gap conditions to ensure the efficient filling of the fire-stopping material.

[0038] As the quantity of materials used in cables increases, the sample library filing type will be completed in real time and sent to the material control platform.

[0039] As a preferred feasible example, after the sample library is established, the cable consumption position prediction signal predicts the damage position of the currently used cable, and the fireproof sealing material type is limited according to the predicted damage position, so as to detect the type of the sample library, ensure that the fireproof sealing material in the sample library and the corresponding shape can meet the current cable damage demand, and improve the type of the fireproof sealing material in the sample library, which can reduce the risk of cable damage, and can accurately perform fireproof sealing material consumption statistics, and according to the low-risk cable damage position, the type of the sample library is screened, and the storage space pressure of the sample library is reduced;

[0040] The currently used cable is divided into a shaped part and a non-shaped part. It should be noted that the shaped part represents the part of the cable that is spliced or has a curved shape, and the non-shaped part represents the part of the cable that is complete and straight.

[0041] The continuous extension distance span of the same notch trajectory after the shaped part of the cable in the running stage of any material appears a notch is obtained, and the wound deformation frequency floating deviation value of the cable wound at different times after the non-shaped part of the cable in the running stage of any material appears a notch is obtained, and the continuous extension distance span of the same notch trajectory after the shaped part of the cable in the running stage of any material appears a notch and the wound deformation frequency floating deviation value of the cable wound at different times after the non-shaped part of the cable in the running stage of any material appears a notch are marked as curved toughness data and straight stress data respectively, and are compared with the extension distance span threshold and the frequency floating threshold respectively.

[0042] If the continuous extension distance span of the same notch trajectory after the shaped part of the cable in the running stage of any material appears a notch exceeds the extension distance span threshold, it is inferred that the cable material has a relatively high toughness requirement, and is marked as a high toughness requirement material.

[0043] If the wound deformation frequency floating deviation value of the cable wound at different times after the non-shaped part of the cable in the running stage of any material appears a notch exceeds the frequency floating threshold, it is inferred that the cable material has a relatively high bearing capacity requirement in each direction, and is marked as a high bearing requirement material.

[0044] If the continuous extension distance span of the same notch trajectory after the shaped part of the cable in the running stage of any material appears a notch does not exceed the extension distance span threshold, and the wound deformation frequency floating deviation value of the cable wound at different times after the non-shaped part of the cable in the running stage of any material appears a notch does not exceed the frequency floating threshold, it is inferred that the toughness requirement and the bearing capacity requirement of the current cable material are both relatively low, and is marked as a low requirement material.

[0045] According to the real-time cable material type, the sample library is recorded for the fireproof plugging material type, and the toughness grade and bearing capacity grade are divided according to the national standard or industry standard of the fireproof plugging material. When there is no high-toughness demand material or high-bearing demand material, if the corresponding high-toughness grade or high-bearing capacity grade shapeable shape is not recorded in the sample library, it is not actively recorded and added; when there is no high-toughness demand material or high-bearing demand material, if the corresponding high-toughness grade or high-bearing capacity grade shapeable shape is not recorded in the sample library, it is preferentially recorded and added;

[0046] As a preferred feasibility example, the sample library is recorded and updated continuously, and the material detection and identification unit identifies the fireproof plugging material of the cable for use, so as to verify the efficiency of the fireproof plugging material filling the cable gap and improve the use efficiency of the fireproof plugging material. When the fireproof plugging material fills abnormally, it can supplement the material in time, and at the same time, it can perform fireproof plugging material consumption statistics during the use of the cable. According to the real-time use verification, the effect of consumption statistics is achieved, and the use progress of the sample library can be verified, and there is no deviation of manual statistics;

[0047] The cable material is identified by image recognition technology, and the pictures of each part of the cable are obtained according to the collected images, and are marked as identification detection pictures; the identification detection pictures are collected by sensors to obtain the color contrast information of the cable surface in the identification detection pictures, wherein the color contrast information includes brightness contrast number and hue contrast number, wherein the brightness contrast number represents the contrast in brightness, and specifically represents the material of the cable at different use moments; the hue contrast number represents the color difference of the cable material itself, and specifically represents the color difference corresponding to different materials of the cable; the deviation position of the cable surface is obtained according to the cable surface color contrast information collection and analysis, specifically, when any value of the cable surface color contrast information fluctuates, the corresponding position is marked as the deviation position;

[0048] The temperature rising process of the deviation position is obtained in the cable running stage, that is, the temperature fluctuation interval since the initial running moment, according to the characteristics of the fireproof plugging material type of the deviation position and the gap depth before the deviation position is plugged, the fireproof plugging material filling depth of the deviation position is comprehensively obtained, and the fireproof plugging material usage of the deviation position is obtained combined with the area of the deviation position. It needs to be explained that the material usage obtained by combining depth and area is an approximate statistical method, and the usage obtained is an approximate value, which has a deviation from the actual usage, but the deviation value is within the normal setting range;

[0049] The use amount of fireproof blocking material at each deviation position is counted and compared with the consumption amount of the material calling log in the sample library at each time. If the deviation at any time exceeds the set range or the deviation at any adjacent time exceeds the floating span threshold, it is inferred that the material counting deviation, and the consumption amount is self-checked and counted. If the deviation at any time does not exceed the set range, and the deviation at any adjacent time does not exceed the floating span threshold, it is inferred that the material counting is accurate, and the material calling log of the sample library is used as the standard value, and the use amount counting is used as the standard verification value.

[0050] As a preferred feasibility example, after the detection and identification of the fireproof blocking material are completed, the fireproof blocking material of the sample library is continuously monitored and counted, and the cable blocking efficiency testing unit tests the blocking efficiency of the cable material, so as to evaluate the blocking efficiency of the cable material and ensure the stable operation of the cable. According to the efficiency test, it is inferred whether the blocking efficiency meets the current demand. When the efficiency is abnormal, the type of the fireproof blocking material of the sample library can be replaced in time, and when the type does not need to be replaced, the material statistical amount at each time can be ensured to be accurate, avoiding the deviation of the current time statistical value caused by the blocking abnormality after the counting is completed.

[0051] The value of the gap trajectory extension distance before the material blocking time when the cable material has a gap is obtained, and the value of the maximum deviation of the temperature floating span of each position on the surface of the blocking material after the material blocking time when the cable material has a gap is obtained. The value of the gap trajectory extension distance before the material blocking time when the cable material has a gap and the value of the maximum deviation of the temperature floating span of each position on the surface of the blocking material after the material blocking time when the cable material has a gap are respectively marked as blocking timely information and blocking stable information, and are respectively compared with the extension distance threshold and the maximum deviation threshold of the temperature span:

[0052] If the value of the gap trajectory extension distance before the material blocking time when the cable material has a gap exceeds the extension distance threshold, or the value of the maximum deviation of the temperature floating span of each position on the surface of the blocking material after the material blocking time when the cable material has a gap exceeds the maximum deviation threshold of the temperature span, it is inferred that the blocking efficiency of the fireproof blocking material in the cable material is poor, a low-efficiency blocking signal is generated, and the low-efficiency blocking signal is sent to the material control platform. After receiving the low-efficiency blocking signal, the material control platform controls the filling of the fireproof blocking material and analyzes the real-time filling state in the filling stage. If the position floating deviation of the filling position is too large, the filling is supplemented.

[0053] If the elongation distance value of the gap track before the material plugging time under the cable material gap condition does not exceed the elongation distance threshold value, and the temperature floating span maximum deviation value of each position on the surface of the plugging material after the material plugging time under the cable material gap condition does not exceed the temperature span maximum deviation threshold value, it is inferred that the plugging efficiency of the fireproof plugging material in the cable material is good, a high-efficiency plugging signal is generated and sent to the material control platform;

[0054] Embodiment two

[0055] The above embodiment constructs a sample library of cable fireproof plugging material and identifies and counts the actual material consumption. Please refer to Figure 2 The present embodiment performs consumption statistical verification based on the previous embodiment.

[0056] As a preferred feasibility example, the material consumption statistical unit counts the consumption of cable fireproof plugging material. According to real-time consumption statistics, the consumption of the current sample library can be inferred, and the material consumption statistical accuracy can be ensured while monitoring the material use loss rate.

[0057] During the fireproof plugging material consumption stage in the sample library, if there is no quantity fluctuation in the cable deviation position, the material consumption is counted. If the actual consumption exceeds the statistical consumption, and the consumption exceeds the value according to the time floating continues to increase, it is inferred that the fireproof plugging material is not suitable. If the actual consumption does not exceed the statistical consumption, or the consumption exceeds the value according to the time floating does not continue to increase, the fireproof plugging material is suitable.

[0058] If there is quantity fluctuation in the cable deviation position, if the actual consumption exceeds the statistical consumption, and the consumption exceeds the value according to the use frequency increase span growth, it is inferred that the fireproof material use loss rate is abnormal. If the actual consumption does not exceed the statistical consumption, or the consumption exceeds the value according to the use frequency increase does not span growth, it is inferred that the fireproof material use loss rate is normal.

[0059] The application uses a pre-statistical unit to perform pre-statistical analysis on cable materials, constructs a sample library, and according to the increase in the quantity of the used cable materials, sends the sample library record type to the material management platform in real time; a cable consumption position prediction signal predicts the damage position of the current used cable, divides the current used cable into a shaped part and a non-shaped part, collects bending toughness data and straight line stress data, divides the material type according to data comparison, and regulates the sample library according to the divided type; a material detection and recognition unit recognizes the fireproof plugging material of the used cable, performs image recognition on the cable material through image recognition technology, and analyzes the recognized detection picture to recognize the fireproof plugging material; a cable plugging efficiency inspection unit inspects the plugging efficiency of the cable material, collects plugging timely information and plugging stable information, and judges the plugging efficiency according to information comparison.

[0060] The preferred embodiments disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the specification. The specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and use the application. The application is limited by the claims and their entire scope and equivalents.

Claims

1. A method for identifying and statistically analyzing fire-resistant sealing materials for cables, characterized in that, This includes a material management platform, which has communication connections to a material usage pre-statistics unit, a cable consumption location prediction unit, a material detection and identification unit, and a cable sealing efficiency inspection unit. The material pre-statistical unit performs pre-statistical analysis on cable materials, builds a sample library, and sends the sample library filing type to the material management platform in real time as the quantity of cable materials used increases. The cable consumption location prediction unit predicts the location of damage to currently used cables, dividing them into shaped and non-shaped sections. It collects bending toughness data and linear stress data, classifies materials based on data comparison, and adjusts the sample library according to the classification type. The bending toughness data and linear stress data represent the continuous extension distance of the same gap trajectory after a gap appears in the shaped section of a cable of any material during its operation, and the fluctuation deviation value of the cable surface deformation frequency at different times after a gap appears in the non-shaped section of a cable of any material during its operation. If the flexural toughness data exceeds the extension span threshold, it is marked as a high toughness requirement material; if the linear stress data exceeds the frequency fluctuation threshold, it is marked as a high load-bearing requirement material; if the flexural toughness data does not exceed the extension span threshold and the linear stress data does not exceed the frequency fluctuation threshold, it is marked as a low requirement material. The material detection and identification unit identifies the fireproof sealing materials used in the cable. It uses image recognition technology to identify the cable material, obtains images of various parts of the cable based on the acquired images, and marks them as identification and detection images. The images are analyzed to identify fire-resistant sealing materials. The cable plugging efficiency testing unit tests the plugging efficiency of cable materials, collects timely plugging information and plugging stability information, and judges the plugging efficiency based on information comparison.

2. The method for identifying and statistically analyzing cable fire-resistant sealing materials according to claim 1, characterized in that, The preliminary statistical analysis process is as follows: Based on the current operating parameters of the cable materials, specifically the cable communication speed, cable surface insulation protection voltage, and cable transmission surface temperature; and based on the historical operating periods of different cable material types, the operating parameter ranges that exceed the range are obtained and marked as red lines. Fireproof sealing materials are screened based on the red lines, and fireproof sealing materials that fit the operating parameter range and cover the red lines are marked as materials to be added to the inventory. In conjunction with the types of fireproof sealing materials added in the real-time sample library, the configurable shapes of the fireproof sealing materials in the sample library are recorded, that is, the shape of the fireproof sealing material is constructed according to the gap in the cable to fill the gap.

3. The method for identifying and statistically analyzing cable fire-stopping materials according to claim 1, characterized in that, The sample library is registered based on the real-time cable material type, and the types of fireproof sealing materials are added or removed. The toughness and load-bearing capacity are classified according to the national or industry standards for each type of fireproof sealing material. If there are no materials with high toughness or high load-bearing requirements, and if the sample library does not have a corresponding manufacturable shape with a high toughness or high load-bearing capacity, it will not be actively registered or added. In the absence of materials requiring high toughness or high load-bearing capacity, if the sample library does not have a corresponding manufacturable shape with high toughness or high load-bearing capacity registered, priority will be given to registering and adding such materials.

4. The method for identifying and statistically analyzing cable fire-resistant sealing materials according to claim 1, characterized in that, The material identification process is as follows: Data is collected from the identification and detection images using sensors to obtain color contrast information of the cable surface in the identification and detection images. The color contrast information includes the brightness contrast number and the hue contrast number. Based on the collected and analyzed color contrast information of the cable surface, the deviation position of the cable surface is determined. Specifically, when any value in the color contrast information of the cable surface fluctuates, the corresponding position is marked as the deviation position. During the cable operation phase, the temperature rise process at the deviation location is obtained, i.e. the temperature fluctuation interval since the start of operation. Based on the characteristics of the fireproof sealing material at the deviation location and the depth of the gap before sealing, the filling depth of the fireproof sealing material at the deviation location is comprehensively calculated. The amount of fireproof sealing material used at the deviation location is calculated by combining the area of ​​the deviation location.

5. The method for identifying and statistically analyzing cable fire-stopping materials according to claim 4, characterized in that, The usage of fireproof sealing materials at each deviation location is statistically analyzed and compared with the expenditure in the material retrieval log of the sample library at various times. If the deviation at any time exceeds the set range, or the deviation between any two adjacent times exceeds the floating span threshold, then the material statistics are considered to be inaccurate, and a self-check of consumption is performed. If the deviation at any time does not exceed the set range, and the deviation between any two adjacent times does not exceed the floating span threshold, then the material statistics are considered to be accurate, and the material retrieval log of the sample library is used as the standard value, and the usage statistics are used as the standard verification value.

6. The method for identifying and statistically analyzing cable fire-stopping materials according to claim 1, characterized in that, The timely sealing information and the stable sealing information are respectively the extension distance of the gap trajectory before the sealing time when the cable material has a gap, and the maximum deviation of the temperature fluctuation range at various positions on the surface of the sealing material after the sealing time when the cable material has a gap.

7. The method for identifying and statistically analyzing cable fire-stopping materials according to claim 6, characterized in that, If the timely blocking information exceeds the extended distance threshold, or the stable blocking information exceeds the maximum temperature range deviation threshold, an inefficient blocking signal is generated; if the timely blocking information does not exceed the extended distance threshold, and the stable blocking information does not exceed the maximum temperature range deviation threshold, an efficient blocking signal is generated.

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