Cable tunnel intelligent communication transmission system and method based on artificial intelligence

Abstract

The invention discloses a cable tunnel intelligent communication transmission system and method based on artificial intelligence, and relates to the technical field of intelligent communication.The method comprises the steps that S10, an energy information master station is installed at an entrance of a cable tunnel, an optical cable is welded into the energy information master station, one end of the optical cable extends out of an energy information master station case, and the energy information master station case is connected with the optical cable along the cable; laying the integrated optical cable embedded with the wireless access node above an optical cable bridge in the cable tunnel; s20, determining an abnormal position existing in each cable division section; s30, predicting an abnormal coefficient of each cable division section; and S40, intelligently generating a communication transmission optimization strategy of each cable division section. According to the method, the sound intensity value, the abnormal current value and the abnormal voltage value are selected according to the condition that the abnormal position exists in each cable division section, the influence of other interference abnormal values on the prediction result can be eliminated, and the prediction precision is further improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent communication technology, and in particular to an artificial intelligence-based cable tunnel intelligent communication transmission system and method. Background Art

[0002] Cable tunnels are corridors or tunnel structures used to accommodate a large number of cables laid on cable racks. In addition to better protecting the cables, cable tunnels also make it easier for people to inspect and repair the cables.

[0003] The air quality inside the cable tunnel is poor, the light is insufficient, the temperature is high and the humidity is high. Nowadays, the inspection of cable tunnels is still mainly done manually. Faced with the complex tunnel environment, it is difficult for inspectors to accurately detect the damage of the cables, which leads to the uncontrollable communication quality of the cables. In addition, the existing technology has difficulties in monitoring the communication quality of tunnel cables, such as a small monitoring range and limited feedback of monitoring information. Summary of the invention

[0004] The purpose of the present invention is to provide an artificial intelligence-based cable tunnel intelligent communication transmission system and method to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: an artificial intelligence-based intelligent communication transmission method for a cable tunnel, the method comprising: S10: Install the Nengxin master station at the entrance of the cable tunnel. The Nengxin master station is used to supply energy to the wireless access node and to send the data uploaded by the wireless access node to the local server in real time. The optical cable is fused inside the Nengxin master station and one end of the optical cable is extended out of the chassis of the Nengxin master station. Along the cable, the integrated optical cable with the embedded wireless access node is laid above the optical cable bridge inside the cable tunnel; S20: Acquire the communication signals output by each wireless access node, analyze the abnormal communication signals in the acquired communication signals, and determine the abnormal positions existing in each cable segment based on the analysis results; S30: predicting an abnormal coefficient of each cable segment according to the abnormal position of the cable and the abnormal communication signal of the cable segment matched with each wireless access node; S40: Intelligently generate communication transmission optimization strategies for each cable segment.

[0006] Further, the S10 includes: The interval between two adjacent wireless access nodes is equal, and an optoelectronic converter is installed at the other end of the optical cable and at the end of each integrated optical cable away from the main station; The laser installed inside the Nengxin main station continuously generates light energy, which is transmitted along the optical cable and the integrated optical cable. The light output at the end of the optical cable and the integrated optical cable is converted into directly usable electrical energy by the photoelectric converter to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable.

[0007] Further, the S20 includes: S201: A current sensor, a voltage sensor, a sound sensor and a communication sensor are installed at each wireless access node, the current sensor is used to collect the cable current, the voltage sensor is used to collect the cable voltage, the sound sensor is used to collect the sound intensity value generated by the cable, and the communication sensor acquires and transmits the signals collected by the current sensor, the voltage sensor and the sound sensor; The wireless access nodes are numbered in the order of the distance from the wireless access node to the communication master station from small to large, and the numbering result is: i=1,2,…,m; m represents the total number of wireless access nodes, a plane parallel to the tunnel cross section is made through each wireless access node, the cable between two adjacent planes is used as a cable segment, and the cable segment between the plane made by the wireless access node numbered i+1 and the plane made by the wireless access node numbered i is used as the matching cable segment of the wireless access node numbered i+1; S202: comparing the communication signal output by the communication sensor installed at the wireless access node numbered i with the standard communication signal of the cable segment matching the wireless access node numbered i, and taking the inconsistent communication signal as the abnormal communication signal of the cable segment matching the wireless access node numbered i, wherein the communication signal includes a sound signal, a current signal and a voltage signal; S203: Taking the end point of the cable close to the credible master station as the coordinate origin and the direction along the cable as the X-axis direction, a plane rectangular coordinate system is constructed, and the abnormal position existing in the cable segment matching the wireless access node numbered i is determined according to the abnormal sound signal in the abnormal communication signal of the cable segment matching the wireless access node numbered i. The specific determination method is as follows: The time T of the sound signal collected by the sound sensor installed at the wireless access node numbered i and i+1 is respectively i 、T i+1 To obtain; If T i *v+T i+1 *v=L, then the coordinates of the abnormal position in the cable segment matching the wireless access node numbered i are: (i*L+T i*v,0), where v represents the propagation rate of sound in the tunnel, and L represents the distance between two adjacent wireless access nodes; If T i *v+T i+1 *v≠L, it means that there is no abnormal position in the cable segment matching the wireless access node numbered i.

[0008] Further, the S30 includes: S301: According to the abnormal communication signal of the cable segment matching the wireless access node numbered i, the abnormal current value I of the cable segment matching the wireless access node numbered i is calculated. i And abnormal voltage value U i To obtain, according to i*L+T i *v numbers the abnormal positions in the cable segment matching the wireless access node numbered i in ascending order, and the numbering result is: j=1,2,…,g; g represents the total number, and the abnormal current set M in the abnormal communication signal of the cable segment matching the wireless access node numbered i is i and abnormal voltage set N i To obtain the abnormal current set M i The abnormal current values ​​stored in the buffer are summed up, and the abnormal current summation result is combined with the abnormal current set M i The ratio between the total number of abnormal current values ​​stored in is calculated to obtain I i , for abnormal voltage set N i The abnormal voltage values ​​stored in the N are summed up, and the abnormal voltage summation result is compared with the abnormal voltage set N i The ratio between the total number of abnormal voltage values ​​stored in is calculated to obtain U i ; The average value is used as the abnormal current value and abnormal voltage value, which is helpful to ensure that the cable can work normally under the optimized voltage and current; S302: According to The abnormal coefficient of the cable segment matching the wireless access node numbered i is predicted, where A, B, and C all represent proportional coefficients and A+B+C=1, e represents a constant and e>1, and I 1i It represents the standard current value of the cable segment matching the wireless access node numbered i, U 1i Indicates the standard voltage value of the cable segment matching the wireless access node numbered i, g i H represents the total number of abnormal locations in the cable segment matching the wireless access node numbered i. ijIt represents the sound intensity value collected by the sound sensor and generated by the j-th abnormal position in the cable segment matching the wireless access node numbered i.

[0009] Further, the S40 includes: Intelligently generate a communication optimization strategy for the cable segment matching the wireless access node numbered i. The communication optimization strategy is: The cable voltage is adjusted to U by the voltage regulator installed at the starting end of the cable. z , U z =U 1i *(1+maxF i ), where max represents the maximum value symbol; The cable current is adjusted to I by the current limiter installed at the starting end of the cable. z , I z =I 1i *(1+maxF i ).

[0010] An artificial intelligence-based intelligent communication transmission system for a cable tunnel, the system comprising a communication transmission module, a cable abnormal position determination module, an abnormal coefficient prediction module and a communication transmission optimization strategy intelligent generation module; The communication transmission module is used to install the Nengxin master station at the entrance of the cable tunnel, fuse the optical cable inside the Nengxin master station and extend one end of the optical cable out of the Nengxin master station chassis, and lay the integrated optical cable with the embedded wireless access node above the optical cable bridge inside the cable tunnel along the cable; The cable abnormal position determination module is used to determine the abnormal position existing in each cable segment; The abnormal coefficient prediction module is used to predict the abnormal coefficient of each cable segment; The communication transmission optimization strategy intelligent generation module is used to intelligently generate the communication transmission optimization strategy for each cable segment.

[0011] Further, the communication transmission module includes a mounting unit and an energy supply unit; The installation unit installs a photoelectric converter at the other end of the optical cable and at one end of each integrated optical cable away from the communication master station; The energy supply unit continuously generates light energy through the laser installed inside the energy communication master station. The light energy is transmitted along the optical cable and the integrated optical cable. The light output from the ends of the optical cable and the integrated optical cable is converted into directly usable electrical energy by the photoelectric converter to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable.

[0012] Further, the cable abnormal position determination module includes a communication signal acquisition unit, a cable division unit, an abnormal communication signal acquisition unit and an abnormal position determination unit; The communication signal acquisition unit acquires and transmits the signals collected by the current sensor, the voltage sensor and the sound sensor through the communication sensor; The cable division unit makes a plane parallel to the tunnel cross section through each wireless access node, and divides the cables between two adjacent planes into a cable division section; The abnormal communication signal acquisition unit compares the communication signal output by the communication sensor installed at the selected wireless access node with the standard communication signal of the cable segment matching the selected wireless access node, and uses the inconsistent communication signal as the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal position determination unit uses the end point of the cable close to the communication master station as the coordinate origin, takes the direction along the cable as the X-axis direction, constructs a plane rectangular coordinate system, and determines the abnormal position existing in the cable segment matching the selected wireless access node based on the abnormal sound signal in the abnormal communication signal of the cable segment matching the selected wireless access node.

[0013] Further, the abnormal coefficient prediction module includes an abnormal signal acquisition unit and an abnormal coefficient prediction unit; The abnormal signal acquisition unit acquires the abnormal current value and abnormal voltage value of the cable segment matching the selected wireless access node according to the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal coefficient prediction unit predicts the abnormal coefficient of the cable segment matching each wireless access node according to the constructed mathematical model.

[0014] Further, the communication transmission optimization strategy intelligent generation module includes an adjustment unit and a communication transmission strategy intelligent generation unit; The adjustment unit calculates the current and voltage adjustment values ​​at the starting end of the cable according to the prediction result transmitted by the abnormal coefficient prediction unit; The communication transmission strategy intelligent generation unit intelligently generates a communication transmission optimization strategy for the cable according to the calculation result transmitted by the adjustment unit.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention supplies energy to the wireless access nodes with built-in integrated optical cables through the energy-transmitting main station installed inside the cable tunnel, thereby ensuring that the sensors located at each wireless access node are not affected by the humidity of the environment inside the tunnel and thus operate normally, further reducing the difficulty of limited feedback of monitoring information. At the same time, the multiple integrated optical cables laid inside the cable tunnel further narrow the monitoring range of the cable, which is conducive to improving the monitoring accuracy of the cable communication quality.

[0016] 2. The present invention determines the abnormal position existing in each cable segment through sound signals, and predicts the abnormal coefficient of each cable segment in combination with the sound intensity value, abnormal current value and abnormal voltage value monitored by each wireless access node. This process selects the sound intensity value, abnormal current value and abnormal voltage value according to the existence of abnormal positions in each cable segment, which can eliminate the influence of other interfering abnormal values ​​(other interfering abnormal values ​​refer to abnormal signals that do not belong to the corresponding cable segment) on the prediction results, thereby further improving the prediction accuracy.

[0017] 3. The present invention adjusts the voltage and current at the starting end of the input cable based on the abnormal coefficient of each cable segment, and intelligently generates a communication transmission optimization strategy for the cable based on the adjustment result to ensure that the adjusted cable can communicate normally. This process does not require manual processing of the complex environment of the cable tunnel, and there is no need to additionally consider the impact of the complex environment of the cable tunnel on the strategy generation results, which further improves the use effect of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the workflow of an artificial intelligence-based cable tunnel intelligent communication transmission system and method of the present invention; Figure 2 The present invention is a schematic structural diagram of the working principle of an artificial intelligence-based cable tunnel intelligent communication transmission system and method. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example: Figure 1 and Figure 2 As shown, the present invention provides a cable tunnel intelligent communication transmission system and method technical solution based on artificial intelligence, and a cable tunnel intelligent communication transmission method based on artificial intelligence, the method comprising: S10: Install the Nengxin master station at the entrance of the cable tunnel, fuse the optical cable inside the Nengxin master station and extend one end of the optical cable out of the Nengxin master station chassis. Along the cable, lay the integrated optical cable with embedded wireless access node above the optical cable bridge inside the cable tunnel, and embed the other end of the optical cable into the wireless access node. The integrated optical cable is a pure optical link, which uses optical fiber communication technology to transmit sound, image and data signals, and realizes network interconnection through various optical methods. The overall system has an IP68 protection level and can still work normally after being immersed in water, without any safety risk of electrical leakage. S10 includes: The interval between two adjacent wireless access nodes is equal, and an optoelectronic converter is installed at the other end of the optical cable and at the end of each integrated optical cable away from the main station; The laser installed inside the Nengxin master station continuously generates light energy, which is transmitted along the optical cable and the integrated optical cable. The light output from the ends of the optical cable and the integrated optical cable is converted into directly usable electrical energy by the photoelectric converter to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable. S20: Acquire the communication signals output by each wireless access node, analyze the abnormal communication signals in the acquired communication signals, and determine the abnormal positions existing in each cable segment based on the analysis results; The S20 includes: S201: A current sensor, a voltage sensor, a sound sensor and a communication sensor are installed at each wireless access node, and the communication sensor acquires and transmits signals collected by the current sensor, the voltage sensor and the sound sensor; The wireless access nodes are numbered in the order of the distance from the wireless access node to the communication master station from small to large, and the numbering result is: i=1,2,…,m; m represents the total number of wireless access nodes, a plane parallel to the tunnel cross section is made through each wireless access node, the cable between two adjacent planes is used as a cable segment, and the cable segment between the plane made by the wireless access node numbered i+1 and the plane made by the wireless access node numbered i is used as the matching cable segment of the wireless access node numbered i+1; S202: comparing the communication signal output by the communication sensor installed at the wireless access node numbered i with the standard communication signal of the cable segment matching the wireless access node numbered i, and taking the inconsistent communication signal as the abnormal communication signal of the cable segment matching the wireless access node numbered i, wherein the communication signal includes a sound signal, a current signal and a voltage signal, and the standard communication signal refers to the communication signal corresponding to the cable segment under normal operating conditions; S203: Taking the end point of the cable close to the credible master station as the coordinate origin and the direction along the cable as the X-axis direction, a plane rectangular coordinate system is constructed, and the abnormal position existing in the cable segment matching the wireless access node numbered i is determined according to the abnormal sound signal in the abnormal communication signal of the cable segment matching the wireless access node numbered i. The specific determination method is as follows: The time T of the sound signal collected by the sound sensor installed at the wireless access node numbered i and i+1 is respectively i 、T i+1 To obtain; If T i *v+T i+1 *v=L, then the coordinates of the abnormal position in the cable segment matching the wireless access node numbered i are: (i*L+T i *v,0), where v represents the propagation rate of sound in the tunnel, and L represents the distance between two adjacent wireless access nodes; If T i *v+T i+1 *v≠L, it means that there is no abnormal position in the cable segment matching the wireless access node numbered i; S30: predicting an abnormal coefficient of each cable segment according to the abnormal position of the cable and the abnormal communication signal of the cable segment matched with each wireless access node; S30 includes: S301: According to the abnormal communication signal of the cable segment matching the wireless access node numbered i, the abnormal current value I of the cable segment matching the wireless access node numbered i is calculated. i And abnormal voltage value U i To obtain, according to i*L+T i *v numbers the abnormal positions in the cable segment matching the wireless access node numbered i in ascending order, and the numbering result is: j=1,2,…,g; g represents the total number, and the abnormal current set M in the abnormal communication signal of the cable segment matching the wireless access node numbered i is i and abnormal voltage set N i To obtain the abnormal current set M i The abnormal current values ​​stored in the buffer are summed up, and the abnormal current summation result is combined with the abnormal current set M i The ratio between the total number of abnormal current values ​​stored in is calculated to obtain I i , for abnormal voltage set N i The abnormal voltage values ​​stored in the N are summed up, and the abnormal voltage summation result is compared with the abnormal voltage set N iThe ratio between the total number of abnormal voltage values ​​stored in is calculated to obtain U i ; S302: According to The abnormal coefficient of the cable segment matching the wireless access node numbered i is predicted, where A, B, and C all represent proportional coefficients and A+B+C=1, e represents a constant and e>1, and I 1i It represents the standard current value of the cable segment matching the wireless access node numbered i, U 1i It indicates the standard voltage value of the cable segment matching the wireless access node numbered i. The standard voltage value and standard voltage value refer to the current value and voltage value corresponding to the cable segment under normal operating conditions, respectively. i H represents the total number of abnormal locations in the cable segment matching the wireless access node numbered i. ij F represents the sound intensity value generated by the jth abnormal position in the cable segment matching the wireless access node numbered i, which is collected by the sound sensor. i It represents the abnormal coefficient of the cable segment matching the wireless access node numbered i. When the cable is damaged, the transmission power of the cable will decrease, which will lead to I i <I 1i , U i <U 1i ; S40: intelligently generate communication transmission optimization strategies for each cable segment; S40 includes: Intelligently generate a communication optimization strategy for the cable segment matching the wireless access node numbered i. The communication optimization strategy is: The cable voltage is adjusted to U by the voltage regulator installed at the starting end of the cable. z , U z =U 1i *(1+maxF i ), where max represents the maximum value symbol; The cable current is adjusted to I by the current limiter installed at the starting end of the cable. z , I z =I 1i *(1+maxF i ).

[0021] An artificial intelligence-based intelligent communication transmission system for cable tunnels, the system comprising a communication transmission module, a cable abnormal position determination module, an abnormal coefficient prediction module and a communication transmission optimization strategy intelligent generation module; The communication transmission module is used to install the Nengxin master station at the entrance of the cable tunnel, fuse the optical cable inside the Nengxin master station and extend one end of the optical cable out of the Nengxin master station chassis, and lay the integrated optical cable with embedded wireless access node above the optical cable bridge inside the cable tunnel along the cable; The communication transmission module includes a mounting unit and an energy supply unit; The installation unit installs a photoelectric converter at the other end of the optical cable and at the end of each integrated optical cable away from the main station; The energy supply unit continuously generates light energy through the laser installed inside the energy communication master station. The light energy is transmitted along the optical cable and the integrated optical cable. The light output from the ends of the optical cable and the integrated optical cable is converted by the photoelectric converter into directly usable electrical energy to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable. The cable abnormal position determination module is used to determine the abnormal position existing in each cable segment; The cable abnormal position determination module includes a communication signal acquisition unit, a cable division unit, an abnormal communication signal acquisition unit and an abnormal position determination unit; The communication signal acquisition unit acquires and transmits the signals collected by the current sensor, the voltage sensor and the sound sensor through the communication sensor; The cable division unit makes a plane parallel to the tunnel cross section through each wireless access node, and regards the cables between two adjacent planes as a cable division section; The abnormal communication signal acquisition unit compares the communication signal output by the communication sensor installed at the selected wireless access node with the standard communication signal of the cable segment matching the selected wireless access node, and takes the inconsistent communication signal as the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal position determination unit takes the end point of the cable close to the communication master station as the coordinate origin, takes the direction along the cable as the X-axis direction, constructs a plane rectangular coordinate system, and determines the abnormal position existing in the cable segment matching the selected wireless access node according to the abnormal sound signal in the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal coefficient prediction module is used to predict the abnormal coefficient of each cable segment; The abnormal coefficient prediction module includes an abnormal signal acquisition unit and an abnormal coefficient prediction unit; The abnormal signal acquisition unit acquires the abnormal current value and abnormal voltage value of the cable segment matching the selected wireless access node according to the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal coefficient prediction unit predicts the abnormal coefficient of the cable segment matched with each wireless access node according to the constructed mathematical model; The communication transmission optimization strategy intelligent generation module is used to intelligently generate the communication transmission optimization strategy for each cable segment; The communication transmission optimization strategy intelligent generation module includes an adjustment unit and a communication transmission strategy intelligent generation unit; The adjustment unit calculates the current and voltage adjustment values ​​at the starting end of the cable according to the prediction result transmitted by the abnormal coefficient prediction unit; The communication transmission strategy intelligent generation unit intelligently generates the communication transmission optimization strategy of the cable according to the calculation results transmitted by the adjustment unit.

[0022] Embodiment 1: Assume that the standard current value I of the cable segment matching the wireless access node numbered 1 11 = 20 amperes, the standard voltage value U of the cable segment matching the wireless access node numbered 1 11 =220V, maxF i =0.6, then the cable voltage adjustment value U z for: U z =U 11 *(1+maxF i )=220*(1+0.6)=352V; Cable voltage adjustment value I z for: I z =I 11 *(1+maxF i )=20*(1+0.6)=32 amps.

[0023] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A cable tunnel intelligent communication transmission method based on artificial intelligence, characterized in that: The method comprises: S10: Install the Nengxin master station at the entrance of the cable tunnel, fuse the optical cable inside the Nengxin master station and extend one end of the optical cable out of the Nengxin master station chassis, and lay the integrated optical cable with the embedded wireless access node above the optical cable bridge inside the cable tunnel along the cable; S20: Acquire the communication signals output by each wireless access node, analyze the abnormal communication signals in the acquired communication signals, and determine the abnormal positions existing in each cable segment based on the analysis results; S30: predicting an abnormal coefficient of each cable segment according to the abnormal position of the cable and the abnormal communication signal of the cable segment matched with each wireless access node; S40: Intelligently generate communication transmission optimization strategies for each cable segment.

2. According to claim 1, a cable tunnel intelligent communication transmission method based on artificial intelligence is characterized in that: The S10 includes: The interval between two adjacent wireless access nodes is equal, and an optoelectronic converter is installed at the other end of the optical cable and at the end of each integrated optical cable away from the main station; The laser installed inside the Nengxin main station continuously generates light energy, which is transmitted along the optical cable and the integrated optical cable. The light output at the end of the optical cable and the integrated optical cable is converted into directly usable electrical energy by the photoelectric converter to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable.

3. The method for intelligent communication and transmission in a cable tunnel based on artificial intelligence according to claim 2, characterized in that: The S20 includes: S201: A current sensor, a voltage sensor, a sound sensor and a communication sensor are installed at each wireless access node, and the communication sensor acquires and transmits signals collected by the current sensor, the voltage sensor and the sound sensor; The wireless access nodes are numbered in the order of the distance from the wireless access node to the communication master station from small to large, and the numbering result is: i=1,2,…,m; m represents the total number of wireless access nodes, a plane parallel to the tunnel cross section is made through each wireless access node, the cable between two adjacent planes is used as a cable segment, and the cable segment between the plane made by the wireless access node numbered i+1 and the plane made by the wireless access node numbered i is used as the matching cable segment of the wireless access node numbered i+1; S202: comparing the communication signal output by the communication sensor installed at the wireless access node numbered i with the standard communication signal of the cable segment matching the wireless access node numbered i, and taking the inconsistent communication signal as the abnormal communication signal of the cable segment matching the wireless access node numbered i, wherein the communication signal includes a sound signal, a current signal and a voltage signal; S203: Taking the end point of the cable close to the credible master station as the coordinate origin and the direction along the cable as the X-axis direction, a plane rectangular coordinate system is constructed, and the abnormal position existing in the cable segment matching the wireless access node numbered i is determined according to the abnormal sound signal in the abnormal communication signal of the cable segment matching the wireless access node numbered i. The specific determination method is as follows: The time T of the sound signal collected by the sound sensor installed at the wireless access node numbered i and i+1 is respectively i , T i+1 To obtain; If T i *v+T i+1 *v=L, then the coordinates of the abnormal position in the cable segment matching the wireless access node numbered i are: (i*L+T i *v,0), where v represents the propagation rate of sound in the tunnel, and L represents the distance between two adjacent wireless access nodes; If T i *v+T i+1 *v≠L, it means that there is no abnormal position in the cable segment matching the wireless access node numbered i.

4. The method for intelligent communication and transmission in a cable tunnel based on artificial intelligence according to claim 3 is characterized in that: The S30 includes: S301: According to the abnormal communication signal of the cable segment matching the wireless access node numbered i, the abnormal current value I of the cable segment matching the wireless access node numbered i is calculated. i And abnormal voltage value U i To obtain, according to i*L+T i *v numbers the abnormal positions in the cable segment matching the wireless access node numbered i in ascending order, and the numbering result is: j=1,2,…,g; g represents the total number; S302: According to The abnormal coefficient of the cable segment matching the wireless access node numbered i is predicted, where A, B, and C all represent proportional coefficients and A+B+C=1, e represents a constant and e>1, I1i represents the standard current value of the cable segment matching the wireless access node numbered i, U1i represents the standard voltage value of the cable segment matching the wireless access node numbered i, and g i H represents the total number of abnormal locations in the cable segment matching the wireless access node numbered i. ij It represents the sound intensity value collected by the sound sensor and generated by the j-th abnormal position in the cable segment matching the wireless access node numbered i.

5. The method for intelligent communication and transmission in a cable tunnel based on artificial intelligence according to claim 4, characterized in that: The S40 includes: Intelligently generate a communication optimization strategy for the cable segment matching the wireless access node numbered i. The communication optimization strategy is: The cable voltage is adjusted to U by the voltage regulator installed at the starting end of the cable. z , U z =U 1i *(1+maxFi), where max represents the maximum value symbol; The cable current is adjusted to I by the current limiter installed at the starting end of the cable. z , I z =I 1i *(1+maxF i ).

6. An artificial intelligence-based cable tunnel intelligent communication transmission system applied to the artificial intelligence-based cable tunnel intelligent communication transmission method according to any one of claims 1 to 5, characterized in that: The system includes a communication transmission module, a cable abnormal position determination module, an abnormal coefficient prediction module and a communication transmission optimization strategy intelligent generation module; The communication transmission module is used to install the Nengxin master station at the entrance of the cable tunnel, fuse the optical cable inside the Nengxin master station and extend one end of the optical cable out of the Nengxin master station chassis, and lay the integrated optical cable with the embedded wireless access node above the optical cable bridge inside the cable tunnel along the cable; The cable abnormal position determination module is used to determine the abnormal position existing in each cable segment; The abnormal coefficient prediction module is used to predict the abnormal coefficient of each cable segment; The communication transmission optimization strategy intelligent generation module is used to intelligently generate the communication transmission optimization strategy for each cable segment.

7. The cable tunnel intelligent communication transmission system based on artificial intelligence according to claim 6 is characterized by: The communication transmission module includes an installation unit and an energy supply unit; The installation unit installs a photoelectric converter at the other end of the optical cable and at one end of each integrated optical cable away from the communication master station; The energy supply unit continuously generates light energy through the laser installed inside the energy communication master station. The light energy is transmitted along the optical cable and the integrated optical cable. The light output from the ends of the optical cable and the integrated optical cable is converted into directly usable electrical energy by the photoelectric converter to supply energy to the wireless access nodes corresponding to the locations of the ends of the optical cable and the integrated optical cable.

8. The cable tunnel intelligent communication transmission system based on artificial intelligence according to claim 7 is characterized by: The cable abnormal position determination module includes a communication signal acquisition unit, a cable division unit, an abnormal communication signal acquisition unit and an abnormal position determination unit; The communication signal acquisition unit acquires and transmits the signals collected by the current sensor, the voltage sensor and the sound sensor through the communication sensor; The cable division unit makes a plane parallel to the tunnel cross section through each wireless access node, and divides the cables between two adjacent planes into a cable division section; The abnormal communication signal acquisition unit compares the communication signal output by the communication sensor installed at the selected wireless access node with the standard communication signal of the cable segment matching the selected wireless access node, and uses the inconsistent communication signal as the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal position determination unit uses the end point of the cable close to the communication master station as the coordinate origin, takes the direction along the cable as the X-axis direction, constructs a plane rectangular coordinate system, and determines the abnormal position existing in the cable segment matching the selected wireless access node based on the abnormal sound signal in the abnormal communication signal of the cable segment matching the selected wireless access node.

9. The cable tunnel intelligent communication transmission system based on artificial intelligence according to claim 8 is characterized by: The abnormal coefficient prediction module includes an abnormal signal acquisition unit and an abnormal coefficient prediction unit; The abnormal signal acquisition unit acquires the abnormal current value and abnormal voltage value of the cable segment matching the selected wireless access node according to the abnormal communication signal of the cable segment matching the selected wireless access node; The abnormal coefficient prediction unit predicts the abnormal coefficient of the cable segment matching each wireless access node according to the constructed mathematical model.

10. The cable tunnel intelligent communication transmission system based on artificial intelligence according to claim 9, characterized in that: The communication transmission optimization strategy intelligent generation module includes an adjustment unit and a communication transmission strategy intelligent generation unit; The adjustment unit calculates the current and voltage adjustment values ​​at the starting end of the cable according to the prediction result transmitted by the abnormal coefficient prediction unit; The communication transmission strategy intelligent generation unit intelligently generates a communication transmission optimization strategy for the cable according to the calculation result transmitted by the adjustment unit.

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