Construction method, system, device and equipment of underground optical cable environment model and medium

Abstract

The embodiment of the invention discloses an underground optical cable environment model construction method, system, device and equipment and a medium, and the method comprises the steps: receiving sonar information sent by each sonar point, each sonar point is attached to an optical cable, each sonar point is arranged from one end of the optical cable to the other end of the optical cable according to a preset distance relation, and the sonar information is sent by each sonar point; a plurality of sonar points are uniformly distributed around the optical cable at the same position of the optical cable, and sonar information comprises transmitting data and receiving data of sound waves; for each sonar point, determining a target mapping relationship between the transmitted data and the received data; determining a target material image corresponding to each target mapping relationship according to a pre-stored corresponding relationship between the material image and the mapping relationship; and constructing a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the space regions corresponding to the sonar points. According to the embodiment of the invention, the construction of the underground optical cable environment model is realized.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of data processing technology, and in particular to a method, system, device, equipment and medium for constructing an underground optical cable environment model. Background Art

[0002] There are two main ways to lay underground optical cables: direct burial and pipeline. The advantage is that it is directly buried underground, which greatly reduces the risk of human damage. However, due to municipal engineering and other reasons, roads are often broken and ground drilling construction is often carried out. If prevention is not timely, underground optical cables are often damaged, which is an immeasurable loss for important relay optical cables and trunk optical cables.

[0003] Therefore, in order to avoid significant losses caused by optical cable interruption, it is necessary to construct an environmental model of underground optical cables. Summary of the invention

[0004] The embodiments of the present application provide a method, system, device, equipment and medium for constructing an underground optical cable environment model, which can realize the construction of an underground optical cable environment model and avoid losses caused by optical cable interruption.

[0005] In order to solve the above problems, in a first aspect, an embodiment of the present application provides a method for constructing an optical cable environment model, comprising:

[0006] Receiving sonar information sent by each sonar point, each of which is attached to an optical cable, each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves;

[0007] For each of the sonar points, determining a target mapping relationship between the transmitted data and the received data;

[0008] Determine the target material images corresponding to the target mapping relationships respectively according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material;

[0009] According to the target material image and the spatial regions corresponding to the sonar points, a three-dimensional environment model corresponding to each sonar point is constructed around the three-dimensional model of the optical cable.

[0010] In a second aspect, an embodiment of the present application provides a system for constructing an underground optical cable environment model, including:

[0011] A plurality of sonar points, each of which is attached to the optical cable, each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, for transmitting sound waves and receiving sound waves reflected by the environment, and sending sonar information including transmission data of the sound waves and reception data to a computer;

[0012] An information conveyor belt, used for transmitting the sonar information sent by each sonar point to the computer, and transmitting the control information sent by the computer to each sonar point;

[0013] An electronic device is used to execute the method for constructing an underground optical cable environment model as described in the first aspect.

[0014] In a third aspect, an embodiment of the present application provides a device for constructing an underground optical cable environment model, comprising:

[0015] An information receiving module, used for receiving sonar information sent by each sonar point, each of which is attached to an optical cable, each of which is arranged from one end to the other end of the optical cable according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves;

[0016] A mapping relationship determination module, used to determine, for each of the sonar points, a target mapping relationship between the transmitted data and the received data;

[0017] A material determination module, used to determine the target material images corresponding to the target mapping relationships according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material;

[0018] The environment model construction module is used to construct a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the spatial areas corresponding to each sonar point.

[0019] In a fourth aspect, an embodiment of the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the method for constructing the underground optical cable environment model described in the embodiment of the present application is implemented.

[0020] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the method for constructing an underground optical cable environment model disclosed in the embodiment of the present application.

[0021] The method, system, device, equipment and medium for constructing an underground optical cable environment model provided in the embodiment of the present application receive sonar information sent by each sonar point, the sonar information includes transmission data and reception data, each sonar point is arranged according to a preset distance relationship from one end of the optical cable to the other end, and multiple sonar points are arranged around the optical cable at the same position of the optical cable, and the target mapping relationship between the transmission data and the reception data is determined for each sonar point, and the target material image corresponding to each target mapping relationship is determined according to the correspondence between the pre-stored material image and the mapping relationship, and the three-dimensional environment model corresponding to each sonar point is constructed around the three-dimensional model of the optical cable according to the target material image and the spatial area corresponding to each sonar point. Because different environmental materials reflect sound waves differently, the mapping relationship between the reception data and the transmission data is different. Based on the target mapping relationship and the correspondence between the pre-stored material image and the mapping relationship, the target material image corresponding to each sonar point can be determined, and then the three-dimensional environment model corresponding to the optical cable is constructed, so as to realize the construction of the underground optical cable environment model and avoid the loss caused by the interruption of the optical cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0023] Figure 1 It is a flow chart of a method for constructing an underground optical cable environment model provided in an embodiment of the present application;

[0024] Figure 2 is a flowchart of constructing a correspondence between a material image and a mapping relationship in an embodiment of the present application;

[0025] Figure 3 It is a flow chart of a method for constructing an underground optical cable environment model provided in an embodiment of the present application;

[0026] Figure 4a is a schematic diagram of a bisector dividing sonar points in the same sonar ring in an embodiment of the present application;

[0027] Figure 4b is a schematic diagram of the bisectors of adjacent sonar rings in an embodiment of the present application;

[0028] Figure 5 is a cross-sectional view of the information conveyor belt and sonar point in an embodiment of the present application;

[0029] Figure 6It is a structural schematic diagram of a system for constructing an underground optical cable environment model provided in an embodiment of the present application;

[0030] Figure 7 It is a structural schematic diagram of a device for constructing an underground optical cable environment model provided in an embodiment of the present application;

[0031] Figure 8 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0033] Figure 1 is a flow chart of a method for constructing an underground optical cable environment model provided in an embodiment of the present application, such as Figure 1 As shown, the method includes: step 110 to step 140.

[0034] Step 110, receiving sonar information sent by each sonar point, each of which is attached to an optical cable, and each of which is arranged from one end to the other end of the optical cable according to a preset distance relationship. A plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves.

[0035] The sonar point is also called a sonar transceiver point, which includes a sonar device for transmitting sound waves into the surrounding environment and receiving sound waves reflected from the surrounding environment, and sending the transmission data of the sound waves and the reception data of the reflected sound waves as sonar information to an electronic device that executes the method for constructing an underground optical cable environment model. Each sonar point is attached to the outside of the optical cable or the outer layer of the optical cable, and its power supply method is mainly the power supply of the machine room. The sonar device of each sonar point has a transceiver function.

[0036] The sonar information sent by each sonar point to the electronic device is transmitted through an information conveyor belt. The information conveyor belt is attached to the outside of the optical cable or the outer layer of the optical cable, and its power supply is mainly the power supply of the machine room. The information conveyor belt is used to transmit the control information sent by electronic devices such as computers to each sonar point, and to transmit the sonar information sent by the sonar point to the electronic device.

[0037] The sonar points are arranged from one end of the optical cable to the other end according to the preset distance relationship, and are marked with information such as numbers step by step, or each sonar point contains a MAC address, and the number or MAC address is used to distinguish different sonar points. Generally, the distances between adjacent sonar points are equal or form a certain mathematical relationship (such as a linear relationship); these sonar points are used to send sound waves of specified frequencies according to the control instructions of the electronic equipment, and receive sound wave information reflected from the surrounding area.

[0038] Sonar points can exist in the form of 360-degree surrounding the location of the optical cable. The sonar points arranged at the same location of the optical cable form a sonar ring, the purpose of which is to comprehensively collect sound waves and detect environmental materials and frequency information in all directions.

[0039] The sonar point number can be set as S (LMN), where L is the optical cable number (the first, second, etc.), M is the sonar ring number on the optical cable (the default is in a certain direction, the first ring, the second ring, etc.), and N is the sonar point number on the sonar ring (the default is the first point, the second point, etc. at a certain starting position).

[0040] The sonar information sent by each sonar point includes transmission data and reception data, and also includes identification information of the corresponding sonar point, which is used to distinguish different sonar points. The identification information of the sonar point may include the number and / or MAC address of the sonar point.

[0041] Step 120: for each of the sonar points, determine a target mapping relationship between the transmitted data and the received data.

[0042] The transmitted data and received data may be any one of frequency information, volume, sound wave waveform, etc. For each sonar point, there will be a certain mapping relationship between the same type of transmitted data and received data.

[0043] For each sonar point, the relationship between the transmitted data and the received data in the multiple sonar information of the sonar point is fitted to obtain a target mapping relationship between the transmitted data and the received data.

[0044] In an exemplary embodiment, the transmission data includes a transmission frequency, the reception data includes a reception frequency, and the mapping relationship between the reception frequency and the transmission frequency is a linear relationship.

[0045] Step 130, determining the target material images corresponding to the target mapping relationships respectively according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material.

[0046] The material images and mapping relationships corresponding to each environmental material can be stored in advance. In each environmental material, the mapping relationship between the received data and the transmitted data for the sound waves emitted by the sonar point can be tested in advance. Among them, a single environmental material refers to a single environmental material, such as yellow mud, cement or sand and gravel, rather than a mixed material of multiple materials.

[0047] Figure 2 is a flowchart of constructing a correspondence between a material image and a mapping relationship in an embodiment of the present application. In an exemplary embodiment, Figure 2 As shown, the step of pre-constructing the correspondence between the material image and the mapping relationship may include steps 21 to 26.

[0048] Step 21, pre-collecting information on various environmental materials of common buried optical cables.

[0049] In advance, information about common environmental materials of direct buried optical cables is collected, such as yellow mud, cement, sand and gravel.

[0050] Step 22, use sonar to test the propagation of different frequencies on different environmental materials.

[0051] Taking the transmission data and the reception data as frequency information as an example, according to the material information collected above, select a certain environmental material m t , bury the sonar instrument with transceiver function in the environmental material, and use the transmission frequency f t The sound waves of the emission frequency are emitted into the surrounding environment, and the frequency F of the sound waves emitted by the environmental material is collected in real time. t , as the receiving frequency.

[0052] Step 23, select multiple frequencies to perform repeated tests, and establish a mapping relationship between the receiving frequency and the transmitting frequency.

[0053] The mapping relationship between the receiving frequency and the transmitting frequency may also be referred to as a frequency offset function or a frequency shift function.

[0054] With the transmission frequency f t With receiving frequency F t Take the following linear relationship as an example:

[0055] F t =kf t +b

[0056] Among them, k represents the slope in the linear relationship, and b represents the intercept in the linear relationship.

[0057] For each environmental material, perform n groups of tests and find the mean of the transmitting frequency and the mean of the receiving frequency in the n groups of data:

[0058]

[0059] in, represents the mean value of the emission frequency, represents the mean of the receiving frequency, n represents the number of data groups, that is, the number of test groups, fti represents the transmitting frequency in the i-th group of data, and Fti represents the receiving frequency in the i-th group of data.

[0060] According to the mean of the transmitting frequency and the mean of the receiving frequency, the slope and intercept in the linear relationship are determined according to the following formula:

[0061]

[0062] in, represents the slope, represents the intercept.

[0063] Substituting the slope and intercept into the linear relationship expression, we can get the receiving frequency F. t With the transmission frequency f t The functional relationship of .

[0064] Step 24, repeatedly perform tests of various frequencies and various environmental materials.

[0065] For common yellow mud m1, cement m2, sand and gravel m3...m k Environmental materials and other materials are tested using the above method.

[0066] Step 25, establish the linear relationship between various environmental materials.

[0067] To establish a linear relationship between the received and emitted frequencies in multiple environment materials:

[0068] F = k i f+b i

[0069] Among them, i=1, 2....k (i represents the code of different environmental materials).

[0070] Step 26, establishing a mapping relationship table of various materials and an image correspondence table.

[0071] According to the frequency shift function obtained from the above test (ie, the mapping relationship between the received data and the transmitted data) and the test environment material information, a one-to-one correspondence table is established, as shown in Table 1.

[0072] Table 1 Mapping relationship of various materials and image correspondence table

[0073] Serial number Material Name Material No. Mapping Material Image 1 Yellow mud m1 <![CDATA[F=k1f+b1]]> Yellow mud image 2 cement m2 <![CDATA[F=k2f+b2]]> Cement Image 3 Sand and gravel m3 <![CDATA[F=k3f+b3]]> Sandstone Image …

[0074] After establishing the mapping relationship of various materials and the image correspondence table, save the correspondence table.

[0075] In an exemplary embodiment, each target mapping relationship is matched with a mapping relationship in a pre-stored corresponding relationship. According to the matching result, if a target mapping relationship matches a mapping relationship in the corresponding relationship, the material image corresponding to the mapping relationship is determined as the target material image corresponding to the target mapping relationship.

[0076] Step 140 , constructing a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the spatial regions corresponding to each sonar point.

[0077] According to the location information of the optical cable, a three-dimensional model of the optical cable is constructed. According to the location information of each sonar point and the positional relationship between each adjacent sonar point, the spatial area corresponding to each sonar point is determined. Based on the target material image corresponding to each sonar point, the information of the target material image corresponding to the sonar point is filled in the spatial area corresponding to each sonar point around the three-dimensional model of the optical cable. After the information of the target material image corresponding to the sonar point is filled in the spatial area of ​​each sonar point, the three-dimensional environment model corresponding to the sonar point is obtained. After the corresponding three-dimensional environment model is constructed for each sonar point, the three-dimensional environment model corresponding to the entire optical cable is obtained.

[0078] When constructing the three-dimensional environmental model of the optical cable, it can be constructed on a GIS (Geographic Information System) map to obtain a three-dimensional environmental model based on the GIS map; or, after the three-dimensional environmental model of the optical cable is constructed, based on the location information of the optical cable and the location information of each sonar point, the three-dimensional environmental model of the optical cable is combined with the GIS map to obtain a three-dimensional environmental model based on the GIS map.

[0079] Based on the construction method of the underground optical cable environment model provided by the embodiment of the present application, a three-dimensional environment model of the optical cable can be constructed in real time. When there is construction around the optical cable, it will cause vibration to the environment around the optical cable, which will cause the frequency of the reflected sound waves received after the sonar point emits sound waves to change, thereby causing the target mapping relationship to change. The corresponding target material image cannot be matched from the pre-stored corresponding relationship, and it can be determined that there is a source of damage around, so that prevention and control can be carried out in advance to avoid damage to the optical cable.

[0080] The method for constructing an underground optical cable environment model provided in the embodiment of the present application receives sonar information sent by each sonar point, the sonar information includes transmission data and reception data, each sonar point is arranged according to a preset distance relationship from one end of the optical cable to the other end, and multiple sonar points are arranged around the optical cable at the same position of the optical cable, and the target mapping relationship between the transmission data and the reception data is determined for each sonar point, and the target material image corresponding to each target mapping relationship is determined according to the correspondence between the pre-stored material image and the mapping relationship, and the three-dimensional environment model corresponding to each sonar point is constructed around the three-dimensional model of the optical cable according to the target material image and the spatial area corresponding to each sonar point. Since different environmental materials reflect sound waves differently, the mapping relationship between the reception data and the transmission data is different. Based on the target mapping relationship and the correspondence between the pre-stored material image and the mapping relationship, the target material image corresponding to each sonar point can be determined, and then the three-dimensional environment model corresponding to the optical cable is constructed, so as to realize the construction of the underground optical cable environment model and avoid the loss caused by the interruption of the optical cable.

[0081] Figure 3 1 is a flow chart of a method for constructing an underground optical cable environment model provided by an embodiment of the present application. This embodiment is described by taking the sonar information as the transmitting frequency and the receiving frequency, and the mapping relationship between the receiving frequency and the transmitting frequency as a linear relationship. Figure 3 As shown, the method includes: step 310 to step 360.

[0082] Step 310, receiving sonar information sent by each sonar point, each of which is attached to an optical cable, and each of which is arranged from one end to the other end of the optical cable according to a preset distance relationship, and multiple sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves.

[0083] When burying the optical cable, the construction workers lay the optical cable in a pre-dug trench, and then bury the soil, sand and gravel on the optical cable to complete the burying construction of the optical cable.

[0084] In order to detect the linear relationship between the receiving frequency and the transmitting frequency and determine the environmental information around each sonar point, each sonar transceiver point on the optical cable transmits sound waves according to its own transmitting frequency. The surrounding environmental materials such as soil, sand and gravel reflect the sound waves emitted by the sonar point, and the reflected sound waves are fed back to the sonar point or a nearby sonar point. Each sonar point determines the frequency of the received sound wave as the receiving frequency. Each sonar point obtains sonar information by integrating the receiving frequency, the transmitting frequency and the identification information, and feeds the sonar information back to the method for constructing the underground optical cable environment model or the cloud platform through an information conveyor belt.

[0085] Step 320: for each of the sonar points, determine a first mean value of the transmitting frequency and a second mean value of the receiving frequency in the multiple sets of sonar information of the sonar point according to the multiple sets of sonar information.

[0086] A sonar point will correspond to multiple sets of sonar information, each set of sonar information includes the transmitting frequency of the sonar transmitted sound wave and the receiving frequency of the received reflected sound wave. For each sonar point, the mean of the transmitting frequency in the multiple sets of sonar information is calculated as the first mean, and the mean of the receiving frequency in the multiple sets of sonar information is calculated as the second mean.

[0087] Step 330: Determine the target slope and the target intercept in the linear relationship according to the first mean and the second mean, and obtain the target mapping relationship corresponding to the sonar point.

[0088] According to the slope and intercept determination formula in the above embodiment, the first mean and the second mean are substituted into the slope determination formula to obtain the target slope, and the first mean and the second mean are substituted into the intercept determination formula to obtain the target intercept, and the linear relationship determined by the target slope and the target intercept is determined as the target mapping relationship of the corresponding sonar point.

[0089] Step 340: For each of the target mapping relationships, determine a material image corresponding to a linear relationship matching the target mapping relationship among the plurality of linear relationships as the target material image.

[0090] For each target mapping relationship, the target mapping relationship is matched with each linear relationship in a plurality of pre-stored linear relationships, and a material image corresponding to a linear relationship in the plurality of linear relationships that matches the target mapping relationship is determined as a target material image corresponding to the target mapping relationship.

[0091] By conducting a comprehensive comparison of big data, each sonar point is used as the location point to determine the respective target mapping relationship: F=ki(LMN)f+bi(LMN), where i=1, 2.... (i is the number of different materials), L, M, and N are the optical cable number, sonar ring number, and sonar point number, respectively.

[0092] According to the target mapping relationship, the corresponding environment material and material image are matched to determine the target material image corresponding to each sonar point, as shown in Table 2.

[0093] Table 2 Correspondence between the material and image of each sonar point

[0094]

[0095] Step 350: If multiple linear relationships do not match the target mapping relationship, determine two control parameters adjacent to the target control parameter and a mixing ratio based on the target control parameter in the target mapping relationship and the control parameters of each linear relationship, and mix the material images corresponding to the two control parameters according to the mixing ratio to obtain the target material image, where the control parameters include a slope or an intercept.

[0096] If the target mapping relationship of a sonar point does not match all pre-stored linear relationships, it means that the environmental material around the sonar point may be a mixed material. At this time, based on the target control parameters in the target mapping relationship and the control parameters of the pre-stored linear relationships, two control parameters adjacent to the target control parameter in the pre-stored linear relationships can be determined, and then based on the distance between the two adjacent control parameters and the target control parameter, the mixing ratio of the environmental materials corresponding to the two adjacent control parameters can be determined, and the material images corresponding to the two control parameters can be mixed according to the mixing ratio to obtain the target material image. Exemplarily, in the process of mixing material images, each material image can be broken up according to a certain preset size (that is, the entire image can be split into small images of preset sizes) and combined together according to the mixing ratio to obtain the target material image.

[0097] In one embodiment of the present application, determining two control parameters adjacent to the target control parameter and a mixing ratio according to the target control parameter in the target mapping relationship and the control parameters of each of the linear relationships includes:

[0098] Determine a target sub-interval where a target control parameter in the target mapping relationship is located from a plurality of sub-intervals; the sub-interval is obtained by dividing an interval consisting of a maximum control parameter and a minimum control parameter in a plurality of the linear relationships, and each of the sub-intervals includes at most one control parameter in the linear relationship;

[0099] Determining a first control parameter and a second control parameter adjacent to the target control parameter from the plurality of linear relationships;

[0100] Determine a first sub-interval in which the first control parameter is located, and a second sub-interval in which the second control parameter is located;

[0101] determining a first distance between the target subinterval and the first subinterval, and a second distance between the target subinterval and the second subinterval;

[0102] The ratio of the first distance to the second distance is used as a mixing ratio between the texture image corresponding to the first control parameter and the texture image corresponding to the second control parameter.

[0103] Each sub-interval includes at most one control parameter in a pre-stored linear relationship, that is, control parameters of different linear relationships are located in different sub-intervals, and some sub-intervals may not include control parameters of pre-stored linear relationships.

[0104] The first control parameter may be smaller than the target control parameter, and the second control parameter may be larger than the target control parameter. The subinterval where the first control parameter is located is determined from the multiple subintervals as the first subinterval; the subinterval where the second control parameter is located is determined from the multiple subintervals as the second subinterval; and the subinterval where the target control parameter is located is determined from the multiple subintervals as the target subinterval.

[0105] The first distance between the target subinterval and the first subinterval is calculated. The first distance is the product of the number of subintervals and the width of the subinterval. Calculating the first distance is to calculate the number of subintervals between the target subinterval and the first subinterval as the number of first subintervals. The second distance between the target subinterval and the second subinterval is calculated. The second distance is the product of the number of subintervals and the width of the subinterval. Calculating the second distance is to calculate the number of subintervals between the target subinterval and the second subinterval as the number of second subintervals.

[0106] The ratio of the first distance to the second distance, that is, the ratio of the number of first subintervals to the number of second subintervals, is determined. The ratio is the mixing ratio between the material image corresponding to the first control parameter and the material image corresponding to the second control parameter.

[0107] By dividing the interval consisting of the maximum control parameter and the minimum control parameter into multiple sub-intervals, and each sub-interval includes at most one control parameter in a linear relationship, the mixing ratio of the two control parameters can be determined based on the distance between the target control parameter and the two adjacent control parameters, thereby improving the accuracy of determining the mixing ratio and thus improving the accuracy of environmental model construction.

[0108] In one embodiment of the present application, before determining the target sub-interval where the target control parameter in the target mapping relationship is located from the multiple sub-intervals, the method further includes:

[0109] Sorting the control parameters in the plurality of pre-stored linear relationships;

[0110] For the sorted control parameters, determining the difference between two adjacent control parameters;

[0111] determining the range between the maximum difference and the minimum difference among the differences;

[0112] One of the preset values ​​of the range is determined as the interval division reference value, wherein the preset value is the product of the number of environmental materials and a set value, and the set value is a positive integer;

[0113] According to the interval division reference value, a control parameter interval consisting of a maximum control parameter and a minimum control parameter among the multiple control parameters is divided into a plurality of sub-intervals, and a width of each of the sub-intervals is the interval division reference value.

[0114] The number of environment materials is the total number of pre-stored environment materials.

[0115] The above control parameter can be a slope K or an intercept b. Taking the slope K as an example (the control parameter b is determined in the same way), the K values ​​can be sorted from large to small according to the K values ​​in the pre-stored linear relationships, and the difference △K between adjacent K values ​​can be calculated. i-j (△K 0-1 , △K 1-2 , △K 2-3 ……), let the total number be n, that is, the number of environmental materials is n.

[0116] Furthermore, the difference △K i-j Sort them in descending order, and put max(△K i-j )-min(△K i-j )=R(range). Note: max and min here are the maximum difference and minimum difference in the difference set, respectively.

[0117] Further, the interval division reference value △R=R / (n*set value) is set, such as the set value is 10.

[0118] The purpose of the above steps is to calculate the interval division reference value △R of the minimum offset interval (sub-interval) of K.

[0119] According to the interval division reference value △R, the slope interval composed of the maximum slope and the minimum slope is divided into multiple sub-intervals, and the multiple sub-intervals are [min(K), min(K)+△R), [min(K)+△R, min(K)+2△R), [min(K)+2△R, min(K)+3△R)… until the interval contains max(K).

[0120] Calculate the K or b value in the target mapping relationship of each sonar point. Continuing with K as an example, determine the slope K in the target mapping relationship NEW The subinterval where it is located can be expressed as [min(k)+N△R,min(k)+(N+1)△R).

[0121] According to the known adjacent slope K i,K j In the subinterval, let K NEW The distance between the sub-intervals K i , K j If they are x△R and y△R respectively, then determine their effect on K i ,K j The mixing ratio of the corresponding material is x / y, and based on the mixing ratio, the material images corresponding to the two slopes are mixed to obtain the target material image.

[0122] According to the above mixing ratio and the spatial area corresponding to the sonar point, the mixed material image is filled in the spatial area.

[0123] Step 360 , constructing a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the spatial regions corresponding to each sonar point.

[0124] The method for constructing an underground optical cable environment model provided in an embodiment of the present application determines the target slope and intercept in the linear relationship according to the transmitting frequency and receiving frequency of each sonar point to obtain the target mapping relationship of each sonar point, and then matches the target mapping relationship with the pre-stored linear relationships to determine the target material image corresponding to each sonar point, and then fills the spatial area corresponding to each sonar point around the three-dimensional model of the optical cable based on the target material image to obtain the three-dimensional environment model of the optical cable. The environmental material around the sonar point can be accurately identified through the frequency information of the sound wave, thereby improving the accuracy of the constructed three-dimensional environment model.

[0125] On the basis of the above technical solution, before constructing the three-dimensional environmental information corresponding to each sonar point around the optical cable according to the target material image and the spatial area corresponding to each sonar point, it also includes: determining the spatial area corresponding to each sonar point according to the position information of each sonar point, wherein the position information includes longitude and latitude information and altitude information.

[0126] The position information of each sonar point may be obtained and stored during testing when the optical cable is buried, or may be obtained through real-time positioning based on a locator at the sonar point.

[0127] Determine the comprehensive location information P(S(LMN)) of each sonar point, such as longitude, latitude and altitude. Here, the P function is used to represent the comprehensive location information such as longitude, latitude and altitude. At the same time, the spatial information of the optical cable is constructed based on multiple P(S(LMN)) location information. Generally, the outside of the optical cable is a straight line connecting the closest sonar points on two adjacent sonar rings.

[0128] According to the position information of each sonar point, the three-dimensional space area around the optical cable is divided to obtain the space area corresponding to each sonar point.

[0129] In one embodiment of the present application, determining the spatial areas corresponding to the respective sonar points according to the position information of the respective sonar points includes:

[0130] Determine a first bisector between two adjacent sonar points in the same sonar ring according to the position information of each sonar point, wherein the sonar ring is a ring-shaped structure composed of a plurality of sonar points surrounding the optical cable at the same position, and the first bisector is used to divide the two adjacent sonar points in the same sonar ring;

[0131] Determine a second bisecting plane between adjacent sonar rings according to the position information of each sonar point, wherein the vertical plane is used to divide the adjacent sonar rings;

[0132] The spatial area between two adjacent first bisectors and two adjacent second bisectors is determined as the spatial area corresponding to the sonar point located in the space, the upper limit of the height of the spatial area is the road surface height, and the lower limit of the height of the spatial area is a preset distance below the sonar point.

[0133] Figure 4a Schematic diagram of the bisectors of the sonar points in the same sonar ring in the embodiment of the present application. Figure 4a As shown in the figure, in the same ring plane, the center of each sonar point in the same sonar ring is the ring center, the ring center is the center point, the circumference of each sonar point is the edge, the midpoint between the arcs of adjacent sonar points is the bisector, and the line connecting the ring center and the bisector is the bisector between the two sonar points. The bisector can distinguish the plane interval of the environmental material image sensed by each sonar point. The bisector of the sonar point and the line connecting the center points of the adjacent sonar rings form the first bisector plane of the sonar point in the same ring.

[0134] Figure 4b Schematic diagram of the bisector of adjacent sonar rings in the embodiment of the present application. Figure 4b As shown, with the midpoint of the line connecting the center points of adjacent sonar rings as the center, a plane perpendicular to the line is made parallel to one of the rings to obtain a second bisector between the adjacent sonar rings. Figure 4b When viewed from a direction perpendicular to the optical cable, the second bisector appears as a bisector.

[0135] The first bisector intersects with the second bisector, excluding the spatial portion of the optical cable, and the spatial area is divided into the spatial areas of each sonar point.

[0136] The height of the road surface (which can be obtained by testing the horizontal height on site or obtaining the horizontal height information on the map) is the upper limit of the height of each sonar point space area. The lower limit of the height of each sonar point space area can be set to a certain distance, such as 10 meters below the height of the sonar point.

[0137] By dividing each sonar ring into an accurate spatial area based on the first bisecting plane in the same sonar ring and the second bisecting plane between adjacent sonar rings.

[0138] On the basis of the above embodiment, before determining the spatial areas corresponding to each sonar point according to the position information of each sonar point, the method further includes: determining the position information of each sonar point according to the position information sent by each locator, and the locator is arranged at the position of some or all of the sonar points among the sonar points.

[0139] In an exemplary embodiment, when burying the optical cable, the construction workers lay the optical cable in a trench dug in advance. Figure 5 is a cross-sectional view of the information conveyor belt and the sonar point in the embodiment of the present application, such as Figure 5 As shown, the optical cable is provided with a locator 2 such as GPS or Beidou, which can be arranged at each sonar point, or arranged at some sonar points according to a certain rule (such as arranging a locator every certain number of sonar points), and the locator 2 can correspond to the number of the sonar point 1 at the same position one by one, and collect the information such as the longitude and latitude of each position to the cloud platform or the electronic device that executes the method for constructing the underground optical cable environment model, that is, the electronic device that executes the method for constructing the underground optical cable environment model can receive the position information of the sonar point where the GPS or Beidou locator signal on the optical cable is normal. The height information of the sonar point can be determined based on the height of the mask optical cable and the radius of the optical cable cross section.

[0140] For sonar points at other locations that cannot receive locator signals such as GPS or Beidou, their location information can be obtained based on the relative position relationship of the circle radius (optical cable radius) and the relative position relationship of adjacent sonar points.

[0141] In one embodiment of the present application, determining the position information of each sonar point based on the position information sent by each locator includes: for each locator, determining the position information sent by the locator as the position information of the sonar point at the same position as the locator; for the sonar point that has not received the position information sent by the locator, determining the position information of the sonar point based on the positional relationship between the sonar point and the adjacent sonar points.

[0142] For a sonar point that has not received the location information sent by the locator, the location information of the adjacent sonar points of the sonar point can be obtained, and the location information of the sonar point can be determined based on the positional relationship between the sonar point and the adjacent sonar points (such as the distance between the two).

[0143] The position information of each sonar point can be obtained in real time based on the position of some or all of the sonar points arranged at the locators, thereby improving the accuracy of determining the spatial area of ​​each sonar point, and further improving the accuracy of constructing the three-dimensional environment model of the optical cable.

[0144] Figure 6 is a structural diagram of a system for constructing an underground optical cable environment model provided in an embodiment of the present application, such as Figure 6 As shown, the construction system of the underground optical cable environment model includes:

[0145] A plurality of sonar points 610, each of which is attached to the optical cable, and each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship. A plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, for transmitting sound waves and receiving sound waves reflected by the environment, and sending sonar information including transmission data of the sound waves and reception data to a computer;

[0146] An information conveyor 620, used for transmitting the sonar information sent by each sonar point to the computer, and transmitting the control information sent by the computer to each sonar point;

[0147] The electronic device 630 is used to execute the method for constructing the underground optical cable environment model described in the above embodiment.

[0148] One end of the information conveyor belt is connected to the electronic device 630, and the electronic device 630 can also be connected to other electronic devices or cloud platforms for communication, so as to transmit the sonar information sent by the sonar point to other electronic devices or cloud platforms.

[0149] The introduction of the sonar points and the information conveyor belt can refer to the above embodiments, which will not be repeated here. The electronic device can be, for example, a computer, a mobile phone, a tablet computer, a server, etc.

[0150] Optionally, the system further includes:

[0151] A plurality of locators 640 are arranged at the positions of some or all of the sonar points, and are used to send position information to the electronic device.

[0152] The locator is a location information collection point attached to the outside of the optical cable or the outer layer of the optical cable. Its power supply is mainly the power supply of the machine room. It can be placed at the same location as the sonar point, or at a certain interval. It mainly collects the longitude, latitude, altitude and other information of the corresponding sonar point when the optical cable is laid and before the optical cable is buried.

[0153] Optionally, the system further includes:

[0154] The cloud platform 650 is used to collect the sonar information, time and location information of each sonar point, and collect the three-dimensional environment model of the optical cable.

[0155] For example, the cloud platform is mainly used to collect and summarize the transmission frequency, receiving frequency, time, MAC identifier, GPS or Beidou locator location point information of each sonar point. At the same time, the big data modeling optical cable environment information is collected and managed.

[0156] The GIS map is responsible for establishing a three-dimensional map of the optical cable and the environment, and pushing the corresponding location point information to the user.

[0157] The construction system of the underground optical cable environment model includes information conveyor belts, sonar points, cloud platforms, GIS maps, etc. The frequency function (linear relationship function between receiving frequency and transmitting frequency) is constructed based on the information conveyor belts and sonar points attached to the optical cable, and the geographical environment information map around the corresponding sonar points is deduced by association, thus providing big data basis for underground optical cable regulation, migration, etc.

[0158] In the prior art, the construction of underground environment three-dimensional maps is mainly constructed by geographic image detection. For underground communication optical cables and communication lines, the location information of each section cannot be accurately obtained, so there is a lack of detection and modeling data of underground optical cable environment big data, and thus a lack of more accurate data for the migration, modification and improvement of communication lines and optical cables. The embodiment of the present application determines the mapping relationship between the received data and the transmitted data of each sonar point based on the information such as the information conveyor belt attached to the optical cable, the longitude and latitude detected by the locator in the sonar point and the feedback of the optical cable detector, and then deduces the geographic environment information map around the corresponding sonar point, thereby providing a big data basis for the improvement and migration of underground communication lines and optical cables, and providing a big data basis for the identification of the source of damage to the optical cable, thereby ensuring that high-quality network service quality is provided to users.

[0159] The embodiment of the present application achieves precise big data modeling by matching big data to establish the relationship between sonar frequency and the environmental material of the buried line. It can automate modeling, saving manpower and material resources required for underground environmental detection and mapping. Compared with traditional methods, it is automatic and time-saving.

[0160] Figure 7 is a schematic diagram of the structure of a device for constructing an underground optical cable environment model provided in an embodiment of the present application, such as Figure 7 As shown, the construction device of the underground optical cable environment model includes:

[0161] An information receiving module 710 is used to receive sonar information sent by each sonar point, each of which is attached to an optical cable, each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship, and multiple sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves;

[0162] A mapping relationship determination module 720, configured to determine, for each of the sonar points, a target mapping relationship between the transmitted data and the received data;

[0163] The material determination module 730 is used to determine the target material images corresponding to the target mapping relationships according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material;

[0164] The environment model building module 740 is used to build a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the spatial areas corresponding to each sonar point.

[0165] Optionally, the transmitted data includes a transmitting frequency, the received data includes a receiving frequency, and the mapping relationship between the receiving frequency and the transmitting frequency is a linear relationship.

[0166] Optionally, the mapping relationship determination module includes:

[0167] a mean value determining unit, configured to determine, for each of the sonar points, a first mean value of the transmitting frequency and a second mean value of the receiving frequency in the multiple sets of sonar information according to the multiple sets of sonar information of the sonar point;

[0168] A mapping relationship determination unit is used to determine the target slope and the target intercept in the linear relationship according to the first mean and the second mean, so as to obtain the target mapping relationship corresponding to the sonar point.

[0169] Optionally, the material determination module includes:

[0170] A first determining unit is used to determine, for each of the target mapping relationships, a material image corresponding to a linear relationship matching the target mapping relationship among the plurality of linear relationships as the target material image;

[0171] The second determination unit is used to determine two control parameters adjacent to the target control parameter and a mixing ratio based on the target control parameter in the target mapping relationship and the control parameters of each linear relationship if none of the multiple linear relationships match the target mapping relationship, and to mix the material images corresponding to the two control parameters according to the mixing ratio to obtain the target material image, wherein the control parameters include a slope or an intercept.

[0172] Optionally, the second determining unit includes:

[0173] a target sub-interval determination sub-unit, used to determine a target sub-interval where a target control parameter in the target mapping relationship is located from a plurality of sub-intervals; the sub-interval is obtained by dividing an interval consisting of a maximum control parameter and a minimum control parameter in a plurality of the linear relationships, and each of the sub-intervals includes at most one control parameter in the linear relationship;

[0174] an adjacent parameter determination subunit, configured to determine a first control parameter and a second control parameter adjacent to the target control parameter from the plurality of linear relationships;

[0175] an adjacent parameter interval determination subunit, configured to determine a first subinterval in which the first control parameter is located, and a second subinterval in which the second control parameter is located;

[0176] a distance determination subunit, configured to determine a first distance between the target subinterval and the first subinterval, and a second distance between the target subinterval and the second subinterval;

[0177] The mixing ratio determination subunit is used to use the ratio of the first distance to the second distance as the mixing ratio between the material image corresponding to the first control parameter and the material image corresponding to the second control parameter.

[0178] Optionally, the device further comprises:

[0179] A parameter sorting module, used for sorting the control parameters in the plurality of pre-stored linear relationships;

[0180] An adjacent search and determination module is used to determine the difference between two adjacent control parameters for the sorted control parameters;

[0181] A difference range determination module is used to determine the range between the maximum difference and the minimum difference among the differences;

[0182] A reference value determination module, used to determine one of the preset values ​​of the range as an interval division reference value, wherein the preset value is the product of the number of environmental materials and a set value, and the set value is a positive integer;

[0183] The interval division module is used to divide the control parameter interval consisting of the maximum control parameter and the minimum control parameter among the multiple control parameters into multiple sub-intervals according to the interval division reference value, and the width of each sub-interval is the interval division reference value.

[0184] Optionally, the device further comprises:

[0185] The spatial region determination module is used to determine the spatial region corresponding to each sonar point according to the position information of each sonar point, wherein the position information includes latitude and longitude information and altitude information.

[0186] Optionally, the spatial region determination module is specifically used to:

[0187] Determine a first bisector between two adjacent sonar points in the same sonar ring according to the position information of each sonar point, wherein the sonar ring is a ring-shaped structure composed of a plurality of sonar points surrounding the optical cable at the same position, and the first bisector is used to divide the two adjacent sonar points in the same sonar ring;

[0188] Determine a second bisecting plane between adjacent sonar rings according to the position information of each sonar point, wherein the vertical plane is used to divide the adjacent sonar rings;

[0189] The spatial area between two adjacent first bisectors and two adjacent second bisectors is determined as the spatial area corresponding to the sonar point located in the space, the upper limit of the height of the spatial area is the road surface height, and the lower limit of the height of the spatial area is a preset distance below the sonar point.

[0190] Optionally, the device further comprises:

[0191] The position determination module is used to determine the position information of each sonar point according to the position information sent by each locator, and the locator is arranged at the position of some or all of the sonar points among the sonar points.

[0192] Optionally, the location determination module is specifically used for:

[0193] For each locator, determining the position information sent by the locator as the position information of the sonar point at the same position as the locator;

[0194] For a sonar point that has not received position information sent by a locator, the position information of the sonar point is determined according to the positional relationship between the sonar point and adjacent sonar points.

[0195] The device for constructing an underground optical cable environment model provided in the embodiment of the present application is used to implement the various steps of the method for constructing an underground optical cable environment model described in the embodiment of the present application. The specific implementation methods of each module of the device refer to the corresponding steps and will not be repeated here.

[0196] The construction device of the underground optical cable environment model provided by the embodiment of the present application receives the sonar information sent by each sonar point, and the sonar information includes the transmission data and the reception data. Each sonar point is arranged according to the preset distance relationship from one end of the optical cable to the other end, and multiple sonar points are arranged around the optical cable at the same position of the optical cable. The target mapping relationship between the transmission data and the reception data is determined for each sonar point, and the target material image corresponding to each target mapping relationship is determined according to the correspondence between the pre-stored material image and the mapping relationship. According to the target material image and the spatial area corresponding to each sonar point, the three-dimensional environment model corresponding to each sonar point is constructed around the three-dimensional model of the optical cable. Since different environmental materials reflect sound waves differently, the mapping relationship between the reception data and the transmission data is different. Based on the target mapping relationship and the correspondence between the pre-stored material image and the mapping relationship, the target material image corresponding to each sonar point can be determined, and then the three-dimensional environment model corresponding to the optical cable can be constructed, so as to realize the construction of the underground optical cable environment model and avoid the loss caused by the interruption of the optical cable.

[0197] Figure 8 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 8 As shown, the electronic device 800 may include one or more processors 810 and one or more memories 820 connected to the processor 810. The electronic device 800 may also include an input interface 830 and an output interface 840 for communicating with another device or system. The program code executed by the processor 810 may be stored in the memory 820.

[0198] The processor 810 in the electronic device 800 calls the program code stored in the memory 820 to execute the method for constructing the underground optical cable environment model in the above embodiment.

[0199] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the method for constructing an underground optical cable environment model as described in the embodiment of the present application are implemented.

[0200] The embodiment of the present application also provides a computer program product, which, when executed by a processor, implements the steps of the method for constructing an underground optical cable environment model as described in the embodiment of the present application.

[0201] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0202] The above is a detailed introduction to a method, system, device, equipment and medium for constructing an underground optical cable environment model provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for a person skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation method and scope of application. In summary, the content of this specification should not be understood as a limitation on the present application.

[0203] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

Claims

1. A method for constructing an underground optical cable environment model, characterized in that: include: Receiving sonar information sent by each sonar point, each of which is attached to an optical cable, each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves; For each of the sonar points, determining a target mapping relationship between the transmitted data and the received data; Determine the target material images corresponding to the target mapping relationships respectively according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material; According to the target material image and the spatial regions corresponding to the sonar points, a three-dimensional environment model corresponding to each sonar point is constructed around the three-dimensional model of the optical cable.

2. The method according to claim 1, characterized in that The transmission data includes a transmission frequency, the reception data includes a reception frequency, and a mapping relationship between the reception frequency and the transmission frequency is a linear relationship.

3. The method according to claim 2, characterized in that The step of determining, for each of the sonar points, a target mapping relationship between the transmitted data and the received data includes: For each of the sonar points, determining a first mean value of the transmitting frequency and a second mean value of the receiving frequency in the multiple sets of sonar information of the sonar point according to the multiple sets of sonar information; According to the first mean and the second mean, a target slope and a target intercept in the linear relationship are determined to obtain a target mapping relationship corresponding to the sonar point.

4. The method according to claim 2, characterized in that: The step of determining the target material images corresponding to the target mapping relationships respectively according to the correspondence between the pre-stored material images and the mapping relationships comprises: For each of the target mapping relationships, determining a material image corresponding to a linear relationship among the plurality of linear relationships that matches the target mapping relationship as the target material image; If multiple linear relationships do not match the target mapping relationship, two control parameters adjacent to the target control parameter and a mixing ratio are determined according to the target control parameter in the target mapping relationship and the control parameters of each linear relationship, and the material images corresponding to the two control parameters are mixed according to the mixing ratio to obtain the target material image, where the control parameters include a slope or an intercept.

5. The method according to claim 4, characterized in that The step of determining two control parameters adjacent to the target control parameter and a mixing ratio according to the target control parameter in the target mapping relationship and the control parameters of each of the linear relationships includes: Determine a target sub-interval where a target control parameter in the target mapping relationship is located from a plurality of sub-intervals; the sub-interval is obtained by dividing an interval consisting of a maximum control parameter and a minimum control parameter in a plurality of the linear relationships, and each of the sub-intervals includes at most one control parameter in the linear relationship; Determining a first control parameter and a second control parameter adjacent to the target control parameter from the plurality of linear relationships; Determine a first sub-interval in which the first control parameter is located, and a second sub-interval in which the second control parameter is located; determining a first distance between the target subinterval and the first subinterval, and a second distance between the target subinterval and the second subinterval; The ratio of the first distance to the second distance is used as a mixing ratio between the texture image corresponding to the first control parameter and the texture image corresponding to the second control parameter.

6. The method according to claim 5, characterized in that Before determining the target sub-interval where the target control parameter in the target mapping relationship is located from the multiple sub-intervals, the method further includes: Sorting the control parameters in the plurality of pre-stored linear relationships; For the sorted control parameters, determining the difference between two adjacent control parameters; determining the range between the maximum difference and the minimum difference among the differences; One of the preset values ​​of the range is determined as the interval division reference value, wherein the preset value is the product of the number of environmental materials and a set value, and the set value is a positive integer; According to the interval division reference value, a control parameter interval consisting of a maximum control parameter and a minimum control parameter among the multiple control parameters is divided into a plurality of sub-intervals, and a width of each of the sub-intervals is the interval division reference value.

7. The method according to any one of claims 1 to 6, characterized in that: Before constructing three-dimensional environmental information corresponding to each sonar point around the optical cable according to the target material image and the spatial areas corresponding to each sonar point, the method further includes: The spatial areas corresponding to the respective sonar points are determined according to the position information of the respective sonar points, wherein the position information includes latitude and longitude information and altitude information.

8. The method according to claim 7, characterized in that Determining the spatial areas corresponding to the respective sonar points according to the position information of the respective sonar points includes: Determine a first bisector between two adjacent sonar points in the same sonar ring according to the position information of each sonar point, wherein the sonar ring is a ring-shaped structure composed of a plurality of sonar points surrounding the optical cable at the same position, and the first bisector is used to divide the two adjacent sonar points in the same sonar ring; Determine a second bisecting plane between adjacent sonar rings according to the position information of each sonar point, wherein the vertical plane is used to divide the adjacent sonar rings; The spatial area between two adjacent first bisectors and two adjacent second bisectors is determined as the spatial area corresponding to the sonar point located in the space, the upper limit of the height of the spatial area is the road surface height, and the lower limit of the height of the spatial area is a preset distance below the sonar point.

9. The method according to claim 7, characterized in that: Before determining the spatial areas corresponding to the respective sonar points according to the position information of the respective sonar points, the method further includes: The position information of each sonar point is determined according to the position information sent by each locator, and the locator is arranged at the position of some or all of the sonar points among the sonar points.

10. The method according to claim 9, characterized in that Determining the position information of each sonar point according to the position information sent by each locator includes: For each locator, determining the position information sent by the locator as the position information of the sonar point at the same position as the locator; For a sonar point that has not received position information sent by a locator, the position information of the sonar point is determined according to the positional relationship between the sonar point and adjacent sonar points.

11. A system for constructing an underground optical cable environment model, characterized in that: include: A plurality of sonar points, each of which is attached to the optical cable, each of which is arranged from one end of the optical cable to the other end according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, for transmitting sound waves and receiving sound waves reflected by the environment, and sending sonar information including transmission data of the sound waves and reception data to a computer; An information conveyor belt, used for transmitting the sonar information sent by each sonar point to the computer, and transmitting the control information sent by the computer to each sonar point; An electronic device, used for executing the method for constructing an underground optical cable environment model as described in any one of claims 1 to 10.

12. The system according to claim 11, characterized in that Also includes: A plurality of locators are arranged at the positions of some or all of the sonar points, and are used to send position information to the electronic device.

13. The system according to claim 11, characterized in that Also includes: The cloud platform is used to collect the sonar information, time and location information of each sonar point, and collect the three-dimensional environmental model of the optical cable.

14. A device for constructing an underground optical cable environment model, characterized in that: include: An information receiving module, used for receiving sonar information sent by each sonar point, each of which is attached to an optical cable, each of which is arranged from one end to the other end of the optical cable according to a preset distance relationship, and a plurality of sonar points are evenly arranged around the optical cable at the same position of the optical cable, and the sonar information includes transmission data and reception data of sound waves; A mapping relationship determination module, used to determine, for each of the sonar points, a target mapping relationship between the transmitted data and the received data; A material determination module, used to determine the target material images corresponding to the target mapping relationships according to the pre-stored correspondence between the material images and the mapping relationships, wherein the correspondence is the material image and the mapping relationship of a single environment material; The environment model construction module is used to construct a three-dimensional environment model corresponding to each sonar point around the three-dimensional model of the optical cable according to the target material image and the spatial areas corresponding to each sonar point.

15. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for constructing the underground optical cable environment model according to any one of claims 1 to 10 is implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method for constructing an underground optical cable environment model according to any one of claims 1 to 10 are implemented.

Images