A distribution network environment safety monitoring system and method based on visual images

Abstract

The present invention discloses a distribution network environmental safety monitoring system and method based on visual images, which relates to the technical field of environmental safety monitoring, collects distribution network information based on visual images, collects location information corresponding to the distribution network information, formulates sensitive area types based on the distribution network information, formulates monitoring information of the distribution network information based on monitoring items, and judges the operating state of the distribution network information based on the monitoring information, wherein the operating state includes a qualified state and an abnormal state, and warns the abnormal distribution network information in an abnormal state to the management end and synchronously prompts it in the distribution network model. The present invention can collect the distribution network information more comprehensively, facilitate the staff to understand the distribution network information, effectively monitor the operating safety of the distribution network lines and poles, assist the staff to maintain the distribution network in time, and ensure the normal operation of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental safety monitoring, and in particular to a distribution network environmental safety monitoring system and method based on visual images. Background Art

[0002] The development of modern society is inseparable from the support of electricity. The transmission of electricity needs to be distributed through the distribution network as a transmission channel. After the distribution network is built, it needs to be monitored to ensure the normal operation of the daily distribution network. Due to the load capacity of the line, long-term use and environmental impact, it is easy to cause the distribution network line to be disconnected. It is difficult to understand the situation and it is impossible to maintain the distribution network line in advance. In addition, the outdoor pole towers are prone to contact with bird nests or debris in the air, which is easy to affect the use of the pole towers and cannot be better monitored. Summary of the invention

[0003] The purpose of the present invention is to provide a distribution network environment safety monitoring system and method based on visual images to solve the shortcomings of the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a distribution network environment safety monitoring method based on visual images, comprising the following steps:

[0005] Collect distribution network information based on visual images, where the distribution network information includes tower information, line information, and line environment information;

[0006] Collect location information corresponding to the distribution network information, and establish a distribution network model based on the location information;

[0007] Based on the distribution network information, sensitive area types are formulated, corresponding monitoring items are configured for the sensitive area types and built into the distribution network model;

[0008] Formulate monitoring information of distribution network information based on monitoring items, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions;

[0009] The operating status of the distribution network information is judged based on the monitoring information, wherein the operating status includes a qualified status and an abnormal status. The abnormal distribution network information in the abnormal status is warned to the management end and synchronously prompted in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information.

[0010] In a preferred embodiment, the step of collecting distribution network information based on visual images includes:

[0011] Based on the set conditions, a monitoring point is configured on the tower, the monitoring object of the monitoring point is set, and the monitoring point and the monitoring object information are bound as monitoring items;

[0012] Collecting tower information based on visual images of monitoring points, wherein the tower information includes tower positions and tower images;

[0013] Collecting line information, wherein the line information includes line location and line status image;

[0014] Collect the line environment information, and use the tower information, line information and line environment information as distribution network information.

[0015] In a preferred embodiment, the step of collecting location information corresponding to the distribution network information and establishing a distribution network model according to the location information includes:

[0016] Obtaining an electronic map of the range where the distribution network information is located as location information, and constructing the distribution network information in the electronic map;

[0017] Obtain the connection relationship between the tower and the line information, take the line between two adjacent towers as a management section, and number the line identity corresponding to the management section;

[0018] The tower information, line information and line environment information are constructed three-dimensionally in the electronic map according to the location to obtain the distribution network model, and the line identity and monitoring items are marked in the distribution network model.

[0019] In a preferred embodiment, the steps of formulating sensitive area types based on distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model include:

[0020] Obtaining tower information and line information in the distribution network information as the first sensitive area type;

[0021] Selecting the environmental information of the lines that do not meet the preset environmental conditions in the distribution network information as the second sensitive area type;

[0022] Corresponding monitoring items are formulated according to the first sensitive area type and the second sensitive area type, and distribution network information corresponding to the monitoring items is constructed in the distribution network model.

[0023] In a preferred embodiment, the step of collecting distribution network information based on visual images includes:

[0024] Obtaining a pole tower image based on the distribution network information to obtain pole tower standard information, wherein the pole tower standard information is formulated in the following manner: identifying a standard pole tower image to obtain pole tower contour information, and performing key grading based on the pole tower contour information to obtain a grade area;

[0025] Formulate route restriction conditions based on route identity correspondence, wherein the route restriction conditions are formulated in the following manner: collect standard load route shape images based on route status images, predict extreme load route image information based on the standard load route shape images, and use the extreme load route image information as route restriction conditions;

[0026] Acquiring environmental information of the line based on the second sensitive area, and formulating environmental restriction conditions of the line corresponding to the environmental information of the line;

[0027] The tower standard information, line restriction conditions and line environment restriction conditions are used as monitoring information.

[0028] In a preferred embodiment, the steps of identifying the standard tower image to obtain tower outline information, and performing key grading based on the tower outline information to obtain graded areas include:

[0029] Acquire a standard tower image, identify tower assembly lines of the standard tower image, and construct a three-dimensional tower model based on the tower assembly lines as tower contour information;

[0030] Grade information is formulated corresponding to the characteristic conditions, characteristic positions of the three-dimensional model of the tower are collected based on the characteristic conditions, and the characteristic positions are divided into grade areas corresponding to the matching grade information.

[0031] In a preferred embodiment, the step of acquiring a standard load line shape image based on the line state image, predicting extreme load line image information based on the standard load line shape image, and using the extreme load line image information as a line restriction condition comprises:

[0032] Collect reference towers connected by line identities, construct standard load line shape images between reference towers based on the reference towers, and set a number of reference points on the standard load line shape image based on set conditions to obtain a reference load standard image;

[0033] The extreme load corresponding to the line identity is collected, and based on the extreme load, the reference load standard image is predicted to obtain the extreme load line state image as the extreme reference image, and the position information of the reference point corresponding to the reference load standard image and the extreme reference image is obtained to obtain the extreme load line image information, and the extreme load line image information is used as the line restriction condition.

[0034] In a preferred embodiment, the step of judging the operating state of the distribution network information based on the monitoring information, wherein the operating state includes a qualified state and an abnormal state, and providing an early warning prompt of abnormal distribution network information in an abnormal state to the management end and synchronously prompting it in the distribution network model, comprises:

[0035] Collect the current line image corresponding to the line identity, construct the current line image with the corresponding reference tower to obtain the current load image, compare the current load image with the line restriction conditions, and determine the operating state of the current load image that does not meet the safety conditions as an abnormal state;

[0036] Collect the current tower image, identify the current assembly lines of the current tower image in the corresponding grade area, and if the current assembly lines do not conform to the tower assembly lines corresponding to the standard tower image, determine the operation state of the tower as an abnormal state;

[0037] Collecting the current environment information of the line, and determining the operation status of the current environment information that does not meet the environmental restriction conditions of the line as an abnormal state;

[0038] The abnormal distribution network information corresponding to the abnormal state is warned to the management end and synchronously prompted in the distribution network model, wherein the abnormal distribution network information includes the location of the abnormal distribution network and abnormal data information.

[0039] The present invention also provides a distribution network environment safety monitoring system based on visual images, comprising:

[0040] The first acquisition module is used to acquire distribution network information based on visual images, wherein the distribution network information includes tower information, line information and line environment information;

[0041] A second acquisition module, connected to the first acquisition module, is used to collect location information corresponding to the distribution network information and establish a distribution network model according to the location information;

[0042] A formulation module, connected to the second acquisition module, for formulating sensitive area types based on the distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model;

[0043] A setting module, connected to the formulation module, is used to formulate monitoring information of the distribution network information based on the monitoring project, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions;

[0044] The judgment module is connected to the setting module and is used to judge the operating status of the distribution network information based on the monitoring information, wherein the operating status includes a qualified state and an abnormal state, and to warn the abnormal distribution network information in the abnormal state to the management end and synchronously prompt it in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information.

[0045] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0046] The present invention can collect distribution network information more comprehensively, facilitate workers' understanding of distribution network information, effectively monitor the operation safety of distribution network lines and towers, assist workers to maintain the distribution network in time, and ensure the normal operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0048] Figure 1 The figure is a flow chart of the method of the present invention.

[0049] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0051] Example 1, please refer to Figure 1 As shown, the distribution network environment safety monitoring method based on visual images described in this embodiment includes the following steps:

[0052] S1. Collecting distribution network information based on visual images, where the distribution network information includes tower information, line information, and line environment information;

[0053] S2. Collecting location information corresponding to the distribution network information, and establishing a distribution network model according to the location information;

[0054] S3. Based on the distribution network information, sensitive area types are formulated, corresponding monitoring items are configured for the sensitive area types and built into the distribution network model;

[0055] S4. Formulate monitoring information of the distribution network information based on the monitoring project, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions;

[0056] S5. Determine the operating status of the distribution network information based on the monitoring information, wherein the operating status includes a qualified status and an abnormal status, and warn the abnormal distribution network information in the abnormal status to the management end and synchronously prompt it in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information.

[0057] As described in the above steps S1-S24, the development of modern society is inseparable from the support of electricity, wherein the transmission of electricity needs to be distributed through the distribution network as a transmission channel. After the distribution network is built, it needs to be monitored to ensure the normal operation of the daily distribution network. Due to the load capacity of the line, long-term use and environmental impact, it is easy to cause the distribution network line to be disconnected, and it is difficult to understand the situation, and it is impossible to maintain the distribution network line in advance. In addition, the pole towers in the outdoors are easy to contact with bird nests or debris in the air, which is easy to affect the use of the pole towers, and it is impossible to achieve good monitoring. In this application, the distribution network information can be collected more comprehensively, which is convenient for the staff to understand the distribution network information, effectively monitor the operation safety of the distribution network lines and pole towers, and assist the staff to maintain the distribution network in time to ensure the normal operation of the distribution network;

[0058] In one embodiment, the step S1 of collecting distribution network information based on visual images, wherein the distribution network information includes tower information, line information, and line environment information, comprises:

[0059] S11. Based on the set conditions, configure the monitoring point on the tower, set the monitoring object of the monitoring point, and bind the monitoring point and the monitoring object information as the monitoring item;

[0060] S12, collecting tower information based on the visual image of the monitoring point, wherein the tower information includes the tower position and the tower image;

[0061] S13, collecting line information, wherein the line information includes line location and line status image;

[0062] S14, collecting the environmental information of the line, and using the tower information, line information and the environmental information of the line as the distribution network information;

[0063] As described in the above steps S11-S14, set conditions are formulated, wherein the set conditions are set ranges, a pole tower within the set range is selected as the configuration position of the monitoring device as a monitoring point, and the object monitored by the monitoring point is specified, and then the monitoring point and the monitoring object information are bound as monitoring items, the pole tower position and the pole tower image are collected as the pole tower information through visual images, and the line position and the line status image are collected as route information, and then the corresponding environmental information of the pole tower and the line is collected, and then the environmental information of the line is taken as the distribution network information, and the pole tower information, the line information and the environmental information of the line are taken as the distribution network information, so that the distribution network information can be collected more comprehensively, and then the subsequent safety monitoring is performed on them respectively;

[0064] In one embodiment, the step S2 of collecting location information corresponding to the distribution network information and establishing a distribution network model according to the location information includes:

[0065] S21, obtaining an electronic map of the range where the distribution network information is located as location information, and constructing the distribution network information in the electronic map;

[0066] S22, obtaining the connection relationship between the tower and the line information, taking the line between two adjacent towers as a management section, and numbering the line identity corresponding to the management section;

[0067] S23, constructing the tower information, line information and line environment information in three dimensions according to the location in the electronic map to obtain a distribution network model, and marking the line identity and monitoring items in the distribution network model;

[0068] As described in the above steps S21-S23, the corresponding electronic map is obtained as the location information according to the scope involved in the monitored distribution network, and the tower information, line information and the line environment information are constructed in the electronic map according to the position correspondence, and the tower and the line are displayed in a three-dimensional state, and the environment where the line is located is simulated and constructed in the electronic map, so as to obtain the distribution network model, and at the same time, the monitoring items are marked in the distribution network model, so that the monitoring object corresponding to each monitoring point can be intuitively understood, and the division of labor of monitoring identification of the monitoring equipment can be clear, which is convenient for the subsequent location positioning of abnormal situations. The distribution network model can simulate and display the distribution network situation, which is more intuitive, and is used to directly display the problem on the distribution network model in the future, which is more convenient for the staff to understand the distribution network information;

[0069] In one embodiment, the step S3 of formulating sensitive area types based on the distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model includes:

[0070] S31, acquiring tower information and line information in the distribution network information as a first sensitive area type;

[0071] S32, selecting the environmental information of the lines that do not meet the preset environmental conditions in the distribution network information as the second sensitive area type;

[0072] S33, formulating corresponding monitoring items according to the first sensitive area type and the second sensitive area type, and constructing the distribution network information corresponding to the monitoring items in the distribution network model;

[0073] As described in the above steps S31-S33, all tower information and line information in the distribution network information are monitored as the first sensitive area type, which covers all towers and lines of the distribution network, and the environmental information of the lines that meet the environmental preset conditions in the distribution network information is selected as the second sensitive area type, wherein the environmental preset conditions are factors affecting the surrounding of the line, for example, the area where the plants or weather factors around the line (areas where harsh environments are prone to affect the lines) affect the lines as the second sensitive area type, and the second sensitive area type generally does not fully cover the entire distribution network line, but is basically a local device, and can formulate and select the monitoring type of the distribution network according to the time situation, has good targeted response, and has good monitoring effectiveness, and has a good distribution network security management and control function;

[0074] In one embodiment, the step S4 of formulating monitoring information of the distribution network information based on the monitoring project, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions, comprises:

[0075] S41, acquiring a pole tower image based on the distribution network information to obtain pole tower standard information, wherein the pole tower standard information is formulated by: identifying a standard pole tower image to obtain pole tower contour information, and performing key classification based on the pole tower contour information to obtain a grade area;

[0076] S42, formulating line restriction conditions based on line identity correspondence, wherein the line restriction conditions are formulated in the following manner: collecting a standard load line shape image based on the line state image, predicting extreme load line image information based on the standard load line shape image, and using the extreme load line image information as the line restriction conditions;

[0077] S43, obtaining the environmental information of the line based on the second sensitive area, and formulating the environmental restriction conditions of the line corresponding to the environmental information of the line;

[0078] S44, using tower standard information, line restriction conditions and line environment restriction conditions as monitoring information;

[0079] As described in the above steps S41-S44, standard pole tower images are collected for identification to obtain pole tower contour information, wherein the standard pole tower image is an image of a pole tower without any other objects touching it. For example, birds building nests on the pole tower represent an abnormality of the pole tower. Therefore, it is necessary to first collect images of the pole tower in a standard information state. Before setting the monitoring point, it is necessary to remove debris from the pole tower to be monitored and responsible for, so that the monitoring point can collect and form the pole tower standard information. After that, the line restriction conditions are formulated, and the extreme load line state image is obtained according to the current line shape and its extreme load prediction, and the extreme load line state image is used as the line restriction condition. The equipment obtains the environmental information of the line based on the second sensitive area. Since the second sensitive area is generally in a local state, the environmental information of the line is obtained in the corresponding second sensitive area and the environmental restriction conditions of the line are formulated in accordance with the environmental information of the line. The tower standard information, the line restriction conditions and the environmental restriction conditions of the line are used as monitoring information. The distribution network information can be safely monitored, and the use status of the distribution network towers and lines can be controlled. It has a good safety control function, and can perform another aspect of safety monitoring on the line according to the environment where the line is located, which can improve the safety monitoring function of the distribution network.

[0080] In one embodiment, the step S41 of identifying the standard tower image to obtain tower outline information and performing key grading based on the tower outline information to obtain graded areas includes:

[0081] S411, acquiring a standard tower image, identifying tower assembly lines of the standard tower image, and constructing a three-dimensional tower model based on the tower assembly lines as tower contour information;

[0082] S412, formulating grade information corresponding to the characteristic conditions, collecting characteristic positions of the three-dimensional model of the tower based on the characteristic conditions, and dividing the characteristic positions corresponding to the matching grade information to obtain grade areas;

[0083] As described in the above steps S411-S412, according to the collected tower image, the tower assembly lines of the standard tower image are identified and obtained. For example, the tower is a three-dimensional object. According to the shape of the tower, its tower assembly lines are collected, and a three-dimensional tower model is constructed based on the tower assembly lines and used as the tower contour information. Then, feature conditions are formulated according to the tower contour information, and corresponding grade information is divided according to the feature conditions. Then, based on the feature conditions, the position corresponding to the feature conditions in the three-dimensional tower model is collected as the special diagnosis position, wherein the feature condition is the position area composed of the tower assembly lines, and then the grade area is obtained according to the feature position obtained through the feature position. The tower position can be focused on the partition, wherein the feature condition is the area suitable for bird nesting and affecting the safe use of the tower. According to the position of the tower that is easily selected by birds for nesting and the area that affects the safe use of the tower, the grade information is obtained by focusing on the partition, and the corresponding key grade area is monitored for the key position, which is convenient for the subsequent key image monitoring and analysis of the tower based on the grade area, and has good pertinence;

[0084] In one embodiment, the step S42 of acquiring a standard load line shape image based on the line state image, predicting extreme load line image information based on the standard load line shape image, and using the extreme load line image information as the line restriction condition includes:

[0085] S421, collecting reference towers connected by line identities, constructing standard load line shape images between reference towers based on the reference towers, and setting a number of reference points on the standard load line shape image based on set conditions to obtain a reference load standard image;

[0086] S422, collecting the extreme load corresponding to the line identity, predicting the reference load standard image based on the extreme load to obtain an extreme load line state image as the extreme reference image, obtaining the position information of the reference point corresponding to the reference load standard image and the extreme reference image to obtain extreme load line image information, and using the extreme load line image information as the line restriction condition;

[0087] As described in the above steps S421-S422, the pole towers on both sides of the line identity connection are collected as reference pole towers, and the standard load line shape image is constructed between the reference pole towers based on the reference pole towers, which is similar to using the reference pole towers as reference coordinate points on both sides. The line in the standard load line shape image is used as a line to record its position information between the reference pole towers. Then, the length of the line under the limit load is predicted according to the limit load of the line and the line length between the reference pole towers, so that the position information of the line under the limit load predicted between the reference pole towers can be predicted. Since several reference points are set in advance in the standard load line shape image, and the position information of the line under the limit load is obtained by stretching the line in the reference load standard image, the reference point can change position with the stretching, and then the position information between the reference point of the automatic line of the reference load standard image and the reference point in the limit load line image information is recorded. Using the limit load line image information as a line restriction condition can provide subsequent understanding of the actual line load state, can carry out safety warnings, effectively monitor the safety of the distribution network, and assist staff to maintain the distribution network in time to ensure the normal operation of the distribution network;

[0088] In one embodiment, the operation status of the distribution network information is determined based on the monitoring information, wherein the operation status includes a qualified state and an abnormal state, and an abnormal distribution network information in an abnormal state is warned to the management end and synchronously prompted in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information step S5, comprises:

[0089] S51, collecting the current line image corresponding to the line identity, constructing the current line image with the corresponding reference tower to obtain the current load image, comparing the current load image with the line restriction condition, and determining the operation state of the current load image that does not meet the safety condition as an abnormal state;

[0090] S52, collecting the current tower image, identifying the current assembly lines of the current tower image in the corresponding grade area, and if the current assembly lines do not conform to the tower assembly lines corresponding to the standard tower image, determining the operation state of the tower as an abnormal state;

[0091] S53, collecting current environment information of the line, and determining the operation status of the current environment information that does not meet the environmental restriction conditions of the line as an abnormal state;

[0092] S54, warning the abnormal distribution network information corresponding to the abnormal state to the management end and synchronously prompt it in the distribution network model, wherein the abnormal distribution network information includes the location of the abnormal distribution network and abnormal data information;

[0093] As described in the above steps S51-S54, the route, the current environment information and the safety of the pole tower are monitored respectively, wherein the line monitoring is as follows: the current route image is constructed with the corresponding reference pole tower to obtain the current load image, the current load image is compared with the line restriction conditions, and the current load image operation state that does not meet the safety conditions is determined as an abnormal state, wherein the safety condition is the position information distance of the restricted reference point, and the data of the safety condition is lower than the data of the line being stretched in the extreme reference image, and the management end is prompted to perform maintenance before the extreme load state. In addition, the pole tower is monitored as follows: the corresponding grade area identifies the current assembly line of the current pole tower image, and if the current assembly line does not meet the pole corresponding to the standard pole tower image When the tower is forming a line, the operation state of the tower is judged as an abnormal state. Finally, the monitoring of the current environmental information is as follows: the current environmental information of the line is collected, and the operation state of the current environmental information that does not meet the environmental restriction conditions of the line is judged as an abnormal state, wherein the environmental restriction conditions of the line are the distance between the plant and the line in the environment corresponding to the line. When the distance between the plant and the line is less than the environmental restriction conditions, it is judged to be an abnormal state, and then the abnormal distribution network information corresponding to the abnormal state is warned to the management end and synchronously prompted in the distribution network model, which has a good monitoring effect on the distribution network, can achieve timely monitoring, and perform early maintenance on the distribution network to avoid major power transmission failures;

[0094] A distribution network environment safety monitoring system based on visual images, comprising:

[0095] The first acquisition module is used to acquire distribution network information based on visual images, wherein the distribution network information includes tower information, line information and line environment information;

[0096] A second acquisition module, connected to the first acquisition module, is used to collect location information corresponding to the distribution network information and establish a distribution network model according to the location information;

[0097] A formulation module, connected to the second acquisition module, for formulating sensitive area types based on the distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model;

[0098] A setting module, connected to the formulation module, is used to formulate monitoring information of the distribution network information based on the monitoring project, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions;

[0099] The judgment module is connected to the setting module and is used to judge the operating status of the distribution network information based on the monitoring information, wherein the operating status includes a qualified state and an abnormal state, and to warn the abnormal distribution network information in the abnormal state to the management end and synchronously prompt it in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information.

[0100] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A distribution network environment safety monitoring method based on visual images, characterized in that: The following steps are involved: Collect distribution network information based on visual images, where the distribution network information includes tower information, line information, and line environment information; Collect location information corresponding to the distribution network information, and establish a distribution network model based on the location information; Based on the distribution network information, sensitive area types are formulated, corresponding monitoring items are configured for the sensitive area types and built into the distribution network model; Formulate monitoring information of distribution network information based on monitoring items, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions; Based on the monitoring information, the operating status of the distribution network information is judged, wherein the operating status includes a qualified status and an abnormal status, and the abnormal distribution network information in the abnormal status is warned to the management end and synchronously prompted in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information; The steps of formulating sensitive area types based on distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model include: Obtaining tower information and line information in the distribution network information as the first sensitive area type; Selecting the environmental information of the lines that do not meet the preset environmental conditions in the distribution network information as the second sensitive area type; Formulate corresponding monitoring items according to the first sensitive area type and the second sensitive area type, and construct the distribution network information corresponding to the monitoring items in the distribution network model; The step of collecting distribution network information based on visual images includes: Obtaining a pole tower image based on the distribution network information to obtain pole tower standard information, wherein the pole tower standard information is formulated in the following manner: identifying a standard pole tower image to obtain pole tower contour information, and performing key grading based on the pole tower contour information to obtain a grade area; Formulate route restriction conditions based on route identity correspondence, wherein the route restriction conditions are formulated in the following manner: collect standard load route shape images based on route status images, predict extreme load route image information based on the standard load route shape images, and use the extreme load route image information as route restriction conditions; Acquiring environmental information of the line based on the second sensitive area, and formulating environmental restriction conditions of the line corresponding to the environmental information of the line; The tower standard information, line restriction conditions and line environment restriction conditions are used as monitoring information; The steps of identifying the standard tower image to obtain tower outline information, and performing key classification based on the tower outline information to obtain grade areas include: Acquire a standard tower image, identify tower assembly lines of the standard tower image, and construct a three-dimensional tower model based on the tower assembly lines as tower contour information; Formulate grade information corresponding to characteristic conditions, collect characteristic positions of the three-dimensional model of the tower based on the characteristic conditions, and divide the characteristic positions into grade areas corresponding to the matching grade information; The step of collecting a standard load line shape image based on the line state image, predicting extreme load line image information based on the standard load line shape image, and using the extreme load line image information as a line restriction condition comprises: Collect reference towers connected by line identities, construct standard load line shape images between reference towers based on the reference towers, and set a number of reference points on the standard load line shape image based on set conditions to obtain a reference load standard image; The extreme load corresponding to the line identity is collected, and based on the extreme load, the reference load standard image is predicted to obtain the extreme load line state image as the extreme reference image, and the position information of the reference point corresponding to the reference load standard image and the extreme reference image is obtained to obtain the extreme load line image information, and the extreme load line image information is used as the line restriction condition.

2. The method for monitoring the environmental safety of a distribution network based on visual images according to claim 1 is characterized in that: The step of collecting distribution network information based on visual images includes: Based on the set conditions, a monitoring point is configured on the tower, the monitoring object of the monitoring point is set, and the monitoring point and the monitoring object information are bound as monitoring items; Collecting tower information based on visual images of monitoring points, wherein the tower information includes tower positions and tower images; Collecting line information, wherein the line information includes line location and line status image; Collect the line environment information, and use the tower information, line information and line environment information as distribution network information.

3. The method for monitoring the environmental safety of a distribution network based on visual images according to claim 1 is characterized in that: The step of collecting location information corresponding to the distribution network information and establishing a distribution network model according to the location information includes: Obtaining an electronic map of the range where the distribution network information is located as location information, and constructing the distribution network information in the electronic map; Obtain the connection relationship between the tower and the line information, take the line between two adjacent towers as a management section, and number the line identity corresponding to the management section; The tower information, line information and line environment information are constructed three-dimensionally in the electronic map according to the location to obtain the distribution network model, and the line identity and monitoring items are marked in the distribution network model.

4. The method for monitoring the environmental safety of a distribution network based on visual images according to claim 1 is characterized in that: The step of judging the operating state of the distribution network information based on the monitoring information, wherein the operating state includes a qualified state and an abnormal state, and providing an early warning prompt of abnormal distribution network information in an abnormal state to the management end and synchronously prompting it in the distribution network model, comprises: Collect the current line image corresponding to the line identity, construct the current line image with the corresponding reference tower to obtain the current load image, compare the current load image with the line restriction conditions, and determine the operating state of the current load image that does not meet the safety conditions as an abnormal state; Collect the current tower image, identify the current assembly lines of the current tower image in the corresponding grade area, and if the current assembly lines do not conform to the tower assembly lines corresponding to the standard tower image, determine the operation state of the tower as an abnormal state; Collecting the current environment information of the line, and determining the operation status of the current environment information that does not meet the environmental restriction conditions of the line as an abnormal state; The abnormal distribution network information corresponding to the abnormal state is warned to the management end and synchronously prompted in the distribution network model, wherein the abnormal distribution network information includes the location of the abnormal distribution network and abnormal data information.

5. A distribution network environment safety monitoring system based on visual images, used to implement a distribution network environment safety monitoring method based on visual images as described in any one of claims 1 to 4, characterized in that: include: The first acquisition module is used to acquire distribution network information based on visual images, wherein the distribution network information includes tower information, line information and line environment information; A second acquisition module, connected to the first acquisition module, is used to collect location information corresponding to the distribution network information and establish a distribution network model according to the location information; A formulation module, connected to the second acquisition module, for formulating sensitive area types based on the distribution network information, configuring corresponding monitoring items for the sensitive area types and building them into the distribution network model; A setting module, connected to the formulation module, is used to formulate monitoring information of the distribution network information based on the monitoring project, wherein the monitoring information includes tower standard information, line restriction conditions and line environment restriction conditions; The judgment module is connected to the setting module and is used to judge the operating status of the distribution network information based on the monitoring information, wherein the operating status includes a qualified state and an abnormal state, and to warn the abnormal distribution network information in the abnormal state to the management end and synchronously prompt it in the distribution network model, wherein the abnormal distribution network information includes the location of the line and the abnormal information.

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