Intelligent monitoring and early warning system for power distribution cabinet

Abstract

The invention relates to the technical field of power distribution cabinet monitoring, in particular to an intelligent monitoring and early warning system for a power distribution cabinet, which comprises a database, an infrastructure monitoring unit, a power distribution cabinet monitoring unit and a power distribution cabinet monitoring unit, the integration module and the early warning module are used for integrating monitoring results and performing early warning, the safety space identification unit is used for monitoring a safety operation space range required by the power distribution cabinet, and the maintenance statistics unit is used for performing statistics on maintenance data of the power distribution cabinet. According to the invention, external factor monitoring is carried out on the power distribution cabinet, so that defects in the monitoring process of the power distribution cabinet can be reduced, abnormal conditions of operation risks of the power distribution cabinet caused by external factors can be timely perceived, targeted inspection and protection can be timely carried out, potential safety hazards in the operation process of the power distribution cabinet can be reduced, and the safety of the power distribution cabinet is improved. And safe operation of the power distribution cabinet is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution cabinet monitoring, and in particular to an intelligent monitoring and early warning system for a power distribution cabinet. Background Art

[0002] The distribution cabinet is an important part of the power system. It undertakes important functions such as control, protection, and dispatch of the power system. In order to ensure the safe and efficient operation of the distribution cabinet, it is necessary to conduct real-time monitoring and risk warning of the distribution cabinet to ensure the safety and reliability of the equipment.

[0003] The existing distribution cabinet monitoring methods are mostly to monitor the current and voltage of the distribution cabinet, determine the operating status of the distribution cabinet based on the monitoring results, and issue corresponding warnings. Among them, there is insufficient monitoring for the problem of operating risks of the distribution cabinet caused by external factors, which leads to certain safety hazards in the operation of the distribution cabinet. To this end, we propose an intelligent monitoring and early warning system for distribution cabinets. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent monitoring and early warning system for a power distribution cabinet to solve the problems raised by the above-mentioned background technology.

[0005] The object of the present invention can be achieved by the following technical solutions: an intelligent monitoring and early warning system for a power distribution cabinet, comprising a database, an infrastructure monitoring unit, an integration module and an early warning module, and also comprising a safe space identification unit and a maintenance statistics unit;

[0006] A space safety identification unit is used to scan and identify the safety passages and workspaces around the power distribution cabinet. If no foreign objects are identified in the scanned safety passages and workspaces, a first identification index is generated. If foreign objects are identified in the scanned safety passages and workspaces, a second identification index is generated. The space safety factors required by the power distribution cabinet are extracted to form a reference space safety index. The first identification index or the second identification index is matched with the reference space safety index. The identification index that successfully matches is selected as the space safety normal index. Otherwise, the identification index that fails to match is set as the space safety abnormal index and transmitted to the integration module.

[0007] A maintenance statistics unit is used to obtain statistics on the number of times the distribution cabinet is inspected and maintained and the corresponding duration data within a limited time period to form a maintenance statistics index, set thresholds for the number of times the distribution cabinet is inspected and maintained and the corresponding duration parameters within the limited time period to form a reference maintenance statistics index, and compare the obtained maintenance statistics index with the reference maintenance statistics index;

[0008] If the maintenance statistical index of the power distribution cabinet does not reach the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet lacks regular inspection and maintenance. If the maintenance statistical index of the power distribution cabinet is greater than the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet has frequent failures, and a maintenance statistical abnormality index is generated. On the contrary, if the maintenance statistical index of the power distribution cabinet matches the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet is under normal maintenance and operation, and a maintenance statistical normal index is generated and transmitted to the integration module.

[0009] The integration module is used to integrate the received abnormal indexes, generate warning indexes of different levels, generate corresponding warning report information according to the warning index, and at the same time, based on the warning index, the warning module issues a warning signal of the corresponding level, and transmits the warning report information together with the warning signal to the mobile terminal of the manager.

[0010] As a further improvement of the present invention, the infrastructure monitoring unit is used to monitor the status of the power distribution cabinet infrastructure under normal operation, and the specific analysis is as follows:

[0011] The temperature and humidity of the environment where the power distribution cabinet infrastructure is located are scanned by the temperature and humidity scanning monitoring equipment to obtain the basic temperature and humidity parameters of the environment. At the same time, the operating temperature of the power distribution cabinet infrastructure is scanned to obtain the infrastructure operating temperature parameters. The temperature difference is obtained according to the difference between the basic temperature of the environment and the operating temperature of the infrastructure.

[0012] The ambient temperature and humidity parameters obtained by scanning monitoring are set as W and S respectively, and the infrastructure operation temperature parameter is set as YW. Substitute into the formula WC = |YW-W| to obtain the temperature difference WC;

[0013] By setting the ambient temperature and operating temperature of the power distribution cabinet infrastructure as a reference, a reference temperature difference is obtained according to the set difference between the ambient base temperature and the operating temperature, and the maximum to minimum values ​​of the reference temperature difference are set as the reference temperature difference interval. At the same time, a humidity reference value is set, and the maximum to minimum values ​​of the humidity reference value are set as the reference humidity interval;

[0014] The reference ambient temperature and the operating temperature are respectively set as W' and YW', and the reference temperature difference WC' is obtained by substituting into the formula WC'=|YW'-W'|. The fluctuation range of the reference temperature difference is set as B, and the maximum to minimum values ​​of the reference temperature difference are obtained by substituting into the formula WCA=WC'+B, WCI=WC'-B, and the reference temperature difference interval (WCA, WC', WCI) is formed. The humidity reference value is set as S', and the fluctuation range of the humidity reference value is set as D. The maximum to minimum values ​​of the humidity reference value are obtained by substituting into the formula SA=S'+D, SI=S'-D, and the reference humidity interval (SA, S', SI) is formed.

[0015] Match the temperature difference with the reference temperature difference interval, and the humidity value with the reference humidity interval. If the temperature difference is within the reference temperature difference interval, and the humidity value is within the reference humidity interval, it indicates that the operation status of the power distribution cabinet infrastructure is normal, and a normal operation index is obtained. If the temperature difference is outside the reference temperature difference interval, it indicates that the operation status of the power distribution cabinet infrastructure is abnormal, and an abnormal operation index is obtained.

[0016] Match the temperature difference with the reference temperature difference interval, and match the humidity value with the reference humidity interval. If it is (WCA, WC, WC', WCI), (SA, S, S', SI), it indicates that the operation status of the distribution cabinet infrastructure is normal, and the normal operation index YX1 is obtained. If it is WC, (WCA, WC', WCI), it indicates that the operation status of the distribution cabinet infrastructure is abnormal, and the abnormal operation index YX2 is obtained.

[0017] As a further improvement of the present invention, the corresponding identification index is generated based on scanning and identifying the safety passages and workspaces around the power distribution cabinet. The specific analysis is as follows:

[0018] The location of the power distribution cabinet is set as the center point and the corresponding safety space range is set. The safety space range is scanned and identified according to the center point by the intelligent monitoring equipment and the radar scanning equipment. If the foreign object is not identified in the safety space range, a first identification index is generated. If the foreign object is identified in the safety space range, a second identification index is generated, and the radar scanning equipment locates the location of the foreign object. The intelligent monitoring equipment uses image acquisition to obtain specific information of the foreign object, which includes sundries, flammable, explosive, corrosive items...;

[0019] The location of the power distribution cabinet is set as the center point and the safety space range is set according to the extension path of the safety passage and the workspace. The foreign objects in the safety space range are marked as T. If the foreign objects are not identified in the safety space range, T < 1, and the first identification index P1 is obtained. If the foreign objects are identified in the safety space range, T > 1, and the second identification index P2 is obtained. The foreign objects are located by radar scanning, and the intelligent monitoring equipment obtains the specific information of the foreign objects, and the foreign object location and specific information are compressed into the second identification index P2.

[0020] A plurality of spatial security factors are set to form a reference spatial security index, the first recognition index or the second recognition index is matched with the reference spatial security index, and the recognition index with successful matching is selected as the normal spatial security index, and conversely, the recognition index with failed matching is set as the abnormal spatial security index;

[0021] Several space safety factors are set, such as the absence of foreign matter, etc., to form a reference space safety index K. If K=P1, the normal space safety index KP1 is obtained. If K≠P1, the abnormal space safety index KP2 is obtained.

[0022] As a further improvement of the present invention, based on the maintenance statistical index acquisition, the specific analysis is as follows:

[0023] By setting a limited time period, the number of times the distribution cabinet is inspected and maintained and the corresponding duration data within the limited time period are counted, and classified punching is performed during inspection and maintenance. The number of inspection and maintenance of the distribution cabinet is counted by the number of punching times, and the start punching is performed at the beginning of the inspection and maintenance, and the end punching is performed at the end. The time difference between the start punching and the end punching is counted to obtain the corresponding duration data, and the inspection and maintenance times and the corresponding duration data are summed up to form a maintenance statistical index;

[0024] The single inspection and maintenance times and the single corresponding duration data of the distribution cabinet are set as JC, WH, HC1..., HW1..., respectively, and the total inspection times JCi and the total maintenance times WHi are obtained by substituting into the formula JCi=JC×i, WHi=WH×i, i is represented as the punch-in statistics times, the total inspection duration HCi is obtained by the formula HCi=HC1+HC2+......, the total maintenance duration HWi is obtained by the formula HWi=HW1+HW2+......, the total inspection and maintenance times and the total inspection and maintenance duration are substituted into the formula WH=JCi×β1+WHi×β2+HCi×β3+HWi×β4 to obtain the maintenance statistical index WH, β1, β2, β3, β4 are represented as the set weight factors;

[0025] Thresholds are set for the total inspection and maintenance times and the total inspection and maintenance duration of the power distribution cabinet to obtain JCi', WHi', HCi', HWi', and substitute into the formula WH'=JCi'×β1+WHi'×β2+HCi'×β3+HWi'×β4 to obtain the reference maintenance statistical index WH';

[0026] The maintenance statistical index WH is compared with the reference maintenance statistical index WH'. If WH<WH', it indicates that the distribution cabinet lacks regular inspection and maintenance. If WH>WH', it indicates that the distribution cabinet has frequent failures, and the maintenance statistical abnormality index WH2 is obtained. If WH=WH', it indicates that the distribution cabinet is maintained and operated normally, and the maintenance statistical normal index WH1 is obtained.

[0027] As a further improvement of the present invention, based on integrating the received abnormal indexes, the specific analysis is as follows:

[0028] Substitute each received index into the formula and calculate the sum to obtain the early warning index. The early warning index generates the corresponding early warning level according to the proportion of abnormal indexes. The early warning module sends out the corresponding early warning signal based on the early warning level and generates the corresponding early warning report information based on the early warning index. The early warning signal and the early warning report information are transmitted to the mobile terminal of the manager to complete the early warning.

[0029] Substitute into the formula The warning index YJ is obtained, δ1, δ2, and δ3 are expressed as the set proportional coefficient factors, and the zero-level warning index YJ0 is obtained by substituting into the formula YJ0=YX1×δ1+KP1×δ2+WH1×δ3, then the zero-level warning level is generated, indicating that the distribution cabinet operates normally;

[0030] Substitute into the formula Get the first-level warning index YJ1, then generate the first-level warning level, substitute it into the formula The second-level warning index YJ2 is obtained, and the second-level warning level is generated. Substituting it into the formula YJ3=YX2×δ1+KP2×δ2+WH2×δ3, the third-level warning index YJ3 is obtained. The corresponding warning level is generated through the warning indexes at each level to control the warning module for warning;

[0031] When the early warning module issues a corresponding early warning according to the early warning level, it will simultaneously generate an early warning signal of the corresponding level, and generate corresponding early warning report information based on the early warning index. By screening the composition of the abnormal index in the early warning index, the abnormal condition information matching the abnormal index is obtained, including the factors causing the early warning. The early warning signal and the early warning report information are transmitted together to the mobile terminal of the manager to complete the early warning, and the manager arranges professional personnel to inspect and repair the power distribution cabinet.

[0032] Several abnormal indexes are set as screening key indexes, such as YX2, KP2, and WH2, and the component indexes of the warning index are matched with the screening key indexes. For example, the component indexes of the first-level warning index YJ1 are YX2, KP1, and WH1, among which YX2 in the component index matches the screening key index YX2. The successfully matched component index is the abnormal index, and the abnormal condition information is obtained through the monitoring information corresponding to the abnormal index, and the abnormal condition information constitutes the warning report information.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The present invention monitors the safe space range required by the power distribution cabinet to monitor whether there are foreign objects in the safe space range, obtains different identification indexes according to the monitoring results, analyzes the space safety based on the identification indexes and determines its safety, and timely warns of risks, which is conducive to ensuring the safety of the location of the power distribution cabinet;

[0035] The present invention monitors and counts the inspection and maintenance times and the corresponding duration of the power distribution cabinet, obtains different maintenance indexes according to the statistical results, analyzes the power distribution cabinet based on the maintenance index to determine the maintenance status of the power distribution cabinet, and promptly issues early warnings for abnormal maintenance status. At the same time, the operating status of the power distribution cabinet infrastructure is monitored, thereby further monitoring and analyzing the overall status of the power distribution cabinet, which is conducive to reducing the risk of hidden dangers in the operation of the power distribution cabinet;

[0036] The present invention helps to reduce deficiencies in the monitoring process of the distribution cabinet by monitoring external factors of the distribution cabinet, so as to timely detect abnormal conditions that cause operating risks of the distribution cabinet due to external factors, and then carry out targeted inspections in a timely manner, which helps to reduce safety hazards in the operation of the distribution cabinet and ensure the safe operation of the distribution cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0038] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0040] Example 1

[0041] See also Figure 1 As shown, an intelligent monitoring and early warning system for a power distribution cabinet includes a database, an infrastructure monitoring unit, an integration module, an early warning module, a full-space identification unit, and a maintenance statistics unit;

[0042] The database is used to store the basic data required for the corresponding monitoring of the distribution cabinet, including reference temperature difference, humidity value and corresponding interval range parameters, corresponding data of the safety space range and statistical data of inspection and maintenance.

[0043] The infrastructure monitoring unit is used to monitor the status of the power distribution cabinet infrastructure under normal operation. The specific analysis is as follows:

[0044] The temperature and humidity of the environment where the power distribution cabinet infrastructure is located are scanned by the temperature and humidity scanning monitoring equipment to obtain the basic temperature and humidity parameters of the environment. At the same time, the operating temperature of the power distribution cabinet infrastructure is scanned to obtain the infrastructure operating temperature parameters. The temperature difference is obtained according to the difference between the basic temperature of the environment and the operating temperature of the infrastructure.

[0045] The ambient temperature and humidity parameters obtained by scanning monitoring are set as W and S respectively, and the infrastructure operation temperature parameter is set as YW. Substitute into the formula WC = |YW-W| to obtain the temperature difference WC;

[0046] By setting the ambient temperature and operating temperature of the power distribution cabinet infrastructure as a reference, a reference temperature difference is obtained according to the set difference between the ambient base temperature and the operating temperature, and the maximum to minimum values ​​of the reference temperature difference are set as the reference temperature difference interval. At the same time, a humidity reference value is set, and the maximum to minimum values ​​of the humidity reference value are set as the reference humidity interval;

[0047] The reference ambient temperature and the operating temperature are respectively set as W' and YW', and the reference temperature difference WC' is obtained by substituting into the formula WC'=|YW'-W'|. The fluctuation range of the reference temperature difference is set as B, and the maximum to minimum values ​​of the reference temperature difference are obtained by substituting into the formula WCA=WC'+B, WCI=WC'-B, and the reference temperature difference interval (WCA, WC', WCI) is formed. The humidity reference value is set as S', and the fluctuation range of the humidity reference value is set as D. The maximum to minimum values ​​of the humidity reference value are obtained by substituting into the formula SA=S'+D, SI=S'-D, and the reference humidity interval (SA, S', SI) is formed.

[0048] Match the temperature difference with the reference temperature difference interval, and the humidity value with the reference humidity interval. If the temperature difference is within the reference temperature difference interval, and the humidity value is within the reference humidity interval, it indicates that the operation status of the power distribution cabinet infrastructure is normal, and a normal operation index is obtained. If the temperature difference is outside the reference temperature difference interval, it indicates that the operation status of the power distribution cabinet infrastructure is abnormal, and an abnormal operation index is obtained.

[0049] Match the temperature difference with the reference temperature difference interval, and match the humidity value with the reference humidity interval. If it is (WCA, WC, WC', WCI), (SA, S, S', SI), it indicates that the operation status of the distribution cabinet infrastructure is normal, and the normal operation index YX1 is obtained. If it is WC, (WCA, WC', WCI), it indicates that the operation status of the distribution cabinet infrastructure is abnormal, and the abnormal operation index YX2 is obtained.

[0050] The space safety identification unit is used to scan and identify the safety passages and working spaces around the power distribution cabinet. If no foreign objects are identified in the scanned safety passages and working space range, a first identification index is generated. If foreign objects are identified in the scanned safety passages and working space range, a second identification index is generated. The space safety factors required by the power distribution cabinet are extracted to form a reference space safety index. The first identification index or the second identification index is matched with the reference space safety index. The identification index that successfully matches is selected as the space safety normal index. Otherwise, the identification index that fails to match is set as the space safety abnormal index and transmitted to the integration module.

[0051] Based on scanning and identifying the safety passages and workspaces around the power distribution cabinet, the corresponding identification index is generated. The specific analysis is as follows:

[0052] The location of the power distribution cabinet is set as the center point and the corresponding safety space range is set. The safety space range is scanned and identified according to the center point by the intelligent monitoring equipment and the radar scanning equipment. If the foreign object is not identified in the safety space range, a first identification index is generated. If the foreign object is identified in the safety space range, a second identification index is generated, and the radar scanning equipment locates the location of the foreign object. The intelligent monitoring equipment uses image acquisition to obtain specific information of the foreign object, which includes sundries, flammable, explosive, corrosive items...;

[0053] The location of the power distribution cabinet is set as the center point and the safety space range is set according to the extension path of the safety passage and the workspace. The foreign objects in the safety space range are marked as T. If the foreign objects are not identified in the safety space range, T < 1, and the first identification index P1 is obtained. If the foreign objects are identified in the safety space range, T > 1, and the second identification index P2 is obtained. The foreign objects are located by radar scanning, and the intelligent monitoring equipment obtains the specific information of the foreign objects, and the foreign object location and specific information are compressed into the second identification index P2.

[0054] A plurality of spatial security factors are set to form a reference spatial security index, the first recognition index or the second recognition index is matched with the reference spatial security index, and the recognition index with successful matching is selected as the normal spatial security index, and conversely, the recognition index with failed matching is set as the abnormal spatial security index;

[0055] Several space safety factors are set, such as the absence of foreign matter, etc., to form a reference space safety index K. If K=P1, the normal space safety index KP1 is obtained. If K≠P1, the abnormal space safety index KP2 is obtained.

[0056] The maintenance statistics unit is used to obtain the statistics of the inspection and maintenance times and the corresponding duration data of the distribution cabinet within a limited time period, to form a maintenance statistics index, to set thresholds for the inspection and maintenance times and the corresponding duration parameters of the distribution cabinet within a limited time period, to form a reference maintenance statistics index, and to compare the obtained maintenance statistics index with the reference maintenance statistics index;

[0057] If the maintenance statistical index of the power distribution cabinet does not reach the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet lacks regular inspection and maintenance. If the maintenance statistical index of the power distribution cabinet is greater than the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet has frequent failures, and a maintenance statistical abnormality index is generated. On the contrary, if the maintenance statistical index of the power distribution cabinet matches the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet is under normal maintenance and operation, and a maintenance statistical normal index is generated and transmitted to the integration module.

[0058] Based on the maintenance statistical index acquisition, the specific analysis is as follows:

[0059] By setting a limited time period, the number of times the distribution cabinet is inspected and maintained and the corresponding duration data within the limited time period are counted, and classified punching is performed during inspection and maintenance. The number of inspection and maintenance of the distribution cabinet is counted by the number of punching times, and the start punching is performed at the beginning of the inspection and maintenance, and the end punching is performed at the end. The time difference between the start punching and the end punching is counted to obtain the corresponding duration data, and the inspection and maintenance times and the corresponding duration data are summed up to form a maintenance statistical index;

[0060] The single inspection and maintenance times and the single corresponding duration data of the distribution cabinet are set as JC, WH, HC1..., HW1..., respectively, and the total inspection times JCi and the total maintenance times WHi are obtained by substituting into the formula JCi=JC×i, WHi=WH×i, i is represented as the punch-in statistics times, the total inspection duration HCi is obtained by the formula HCi=HC1+HC2+......, the total maintenance duration HWi is obtained by the formula HWi=HW1+HW2+......, the total inspection and maintenance times and the total inspection and maintenance duration are substituted into the formula WH=JCi×β1+WHi×β2+HCi×β3+HWi×β4 to obtain the maintenance statistical index WH, β1, β2, β3, β4 are represented as the set weight factors;

[0061] Thresholds are set for the total inspection and maintenance times and the total inspection and maintenance duration of the power distribution cabinet to obtain JCi', WHi', HCi', HWi', and substitute into the formula WH'=JCi'×β1+WHi'×β2+HCi'×β3+HWi'×β4 to obtain the reference maintenance statistical index WH';

[0062] The maintenance statistical index WH is compared with the reference maintenance statistical index WH'. If WH<WH', it indicates that the distribution cabinet lacks regular inspection and maintenance. If WH>WH', it indicates that the distribution cabinet has frequent failures, and the maintenance statistical abnormality index WH2 is obtained. If WH=WH', it indicates that the distribution cabinet is maintained and operated normally, and the maintenance statistical normal index WH1 is obtained.

[0063] The integration module is used to integrate the received abnormal indexes, generate warning indexes of different levels, generate corresponding warning report information according to the warning index, and issue warning signals of corresponding levels based on the warning index warning module, and transmit the warning report information together with the warning signal to the mobile terminal of the manager;

[0064] Based on the integration of the received abnormal indexes, the specific analysis is as follows:

[0065] Substitute each received index into the formula and calculate the sum to obtain the early warning index. The early warning index generates the corresponding early warning level according to the proportion of abnormal indexes. The early warning module sends out the corresponding early warning signal based on the early warning level and generates the corresponding early warning report information based on the early warning index. The early warning signal and the early warning report information are transmitted to the mobile terminal of the manager to complete the early warning.

[0066] Substitute into the formula The warning index YJ is obtained, δ1, δ2, and δ3 are expressed as the set proportional coefficient factors, and the zero-level warning index YJ0 is obtained by substituting into the formula YJ0=YX1×δ1+KP1×δ2+WH1×δ3, then the zero-level warning level is generated, indicating that the distribution cabinet operates normally;

[0067] Substitute into the formula Get the first-level warning index YJ1, then generate the first-level warning level, substitute it into the formula The second-level warning index YJ2 is obtained, and the second-level warning level is generated. Substituting it into the formula YJ3=YX2×δ1+KP2×δ2+WH2×δ3, the third-level warning index YJ3 is obtained. The corresponding warning level is generated through the warning indexes at each level to control the warning module for warning;

[0068] When the early warning module issues a corresponding early warning according to the early warning level, it will simultaneously generate an early warning signal of the corresponding level, and generate corresponding early warning report information based on the early warning index. By screening the composition of the abnormal index in the early warning index, the abnormal condition information matching the abnormal index is obtained, including the factors causing the early warning. The early warning signal and the early warning report information are transmitted together to the mobile terminal of the manager to complete the early warning, and the manager arranges professional personnel to inspect and repair the power distribution cabinet.

[0069] Several abnormal indexes are set as screening key indexes, such as YX2, KP2, and WH2, and the component indexes of the warning index are matched with the screening key indexes. For example, the component indexes of the first-level warning index YJ1 are YX2, KP1, and WH1, among which YX2 in the component index matches the screening key index YX2. The successfully matched component index is the abnormal index, and the abnormal condition information is obtained through the monitoring information corresponding to the abnormal index, and the abnormal condition information constitutes the warning report information.

[0070] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring and early warning system for a power distribution cabinet, comprising a database, an infrastructure monitoring unit, an integration module and an early warning module, characterized in that: It also includes a safe space identification unit and a maintenance statistics unit; The space safety identification unit is used to scan and identify the safety passages and working spaces around the power distribution cabinet. If no foreign objects are identified in the scanned safety passages and working space range, a first identification index is generated. If foreign objects are identified in the scanned safety passages and working space range, a second identification index is generated. The space safety factors required by the power distribution cabinet are extracted to form a reference space safety index. The first identification index or the second identification index is matched with the reference space safety index. The identification index that successfully matches is selected as the space safety normal index. Otherwise, the identification index that fails to match is set as the space safety abnormal index and transmitted to the integration module. The maintenance statistics unit is used to obtain the statistics of the inspection and maintenance times and the corresponding duration data of the distribution cabinet within a limited time period, to form a maintenance statistics index, to set thresholds for the inspection and maintenance times and the corresponding duration parameters of the distribution cabinet within a limited time period, to form a reference maintenance statistics index, and to compare the obtained maintenance statistics index with the reference maintenance statistics index; If the maintenance statistical index of the power distribution cabinet does not reach the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet lacks regular inspection and maintenance. If the maintenance statistical index of the power distribution cabinet is greater than the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet has frequent failures, and a maintenance statistical abnormality index is generated. On the contrary, if the maintenance statistical index of the power distribution cabinet matches the parameter threshold set by the reference maintenance statistical index, it indicates that the power distribution cabinet is under normal maintenance and operation, and a maintenance statistical normal index is generated and transmitted to the integration module. The integration module is used to integrate the received abnormal indexes, generate warning indexes of different levels, generate corresponding warning report information according to the warning index, and at the same time, based on the warning index, the warning module issues a warning signal of the corresponding level, and transmits the warning report information together with the warning signal to the mobile terminal of the manager.

2. According to claim 1, the intelligent monitoring and early warning system for power distribution cabinets is characterized in that: The infrastructure monitoring unit is used to monitor the status of the power distribution cabinet infrastructure under normal operation. The specific analysis is as follows: The temperature and humidity of the environment where the power distribution cabinet infrastructure is located are scanned by the temperature and humidity scanning monitoring equipment to obtain the basic temperature and humidity parameters of the environment. At the same time, the operating temperature of the power distribution cabinet infrastructure is scanned to obtain the infrastructure operating temperature parameters. The temperature difference is obtained according to the difference between the basic temperature of the environment and the operating temperature of the infrastructure. By setting the ambient temperature and operating temperature of the power distribution cabinet infrastructure as a reference, a reference temperature difference is obtained according to the set difference between the ambient base temperature and the operating temperature, and the maximum to minimum values ​​of the reference temperature difference are set as the reference temperature difference interval. At the same time, a humidity reference value is set, and the maximum to minimum values ​​of the humidity reference value are set as the reference humidity interval; Match the temperature difference with the reference temperature difference interval, and match the humidity value with the reference humidity interval. If the temperature difference is within the reference temperature difference interval and the humidity value is within the reference humidity interval, it indicates that the operation status of the distribution cabinet infrastructure is normal, and the normal operation index is obtained. If the temperature difference is outside the reference temperature difference interval, it indicates that the operation status of the distribution cabinet infrastructure is abnormal, and the abnormal operation index is obtained.

3. The intelligent monitoring and early warning system for power distribution cabinet according to claim 1 is characterized in that: Based on scanning and identifying the safety passages and workspaces around the power distribution cabinet, the corresponding identification index is generated. The specific analysis is as follows: The location of the power distribution cabinet is set as the center point and the corresponding safety space range is set. The safety space range is scanned and identified according to the center point by the intelligent monitoring device and the radar scanning device. If the foreign object is not identified in the safety space range, a first identification index is generated. If the foreign object is identified in the safety space range, a second identification index is generated, and the radar scanning device locates the location of the foreign object. The intelligent monitoring device uses image capture to obtain specific information about the foreign object. A number of spatial security factors are set to form a reference spatial security index, and the first recognition index or the second recognition index is matched with the reference spatial security index. The recognition index with successful matching is selected as the normal spatial security index, and conversely, the recognition index with failed matching is set as the abnormal spatial security index.

4. The intelligent monitoring and early warning system for power distribution cabinet according to claim 1 is characterized in that: Based on the maintenance statistical index acquisition, the specific analysis is as follows: By setting a limited time period, the number of times the distribution cabinet is inspected and maintained within the limited time period and the corresponding duration data are counted, and classified punching is performed during inspection and maintenance. The number of punching times is used to count the number of inspections and maintenance of the distribution cabinet, and a starting punching is performed at the beginning of the inspection and maintenance, and a closing punching is performed at the end. The time difference between the starting punching and the closing punching is counted to obtain the corresponding duration data, and the number of inspections and maintenance times and the corresponding duration data are summed up to form a maintenance statistical index.

5. The intelligent monitoring and early warning system for power distribution cabinet according to claim 1 is characterized in that: Based on the integration of the received abnormal indexes, the specific analysis is as follows: The received indexes are substituted into the formula for summation to obtain the warning index. The warning index generates the corresponding warning level through the proportion of the abnormal index. The warning module sends out the corresponding warning signal based on the warning level, and generates the corresponding warning report information based on the warning index. The warning signal and the warning report information are transmitted together to the mobile terminal of the manager to complete the warning.

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