A reservoir safety monitoring and early warning system and its use method

Abstract

The invention relates to the field of reservoir safety warning, and in particular to a reservoir safety monitoring and early warning system and a method for using the same. The reservoir safety monitoring and early warning system comprises: a data monitoring module, which is used to determine the category of each target area and the range setting strategy according to the reference range fluctuation, and obtain the monitoring data of each target area; a range analysis module, which is used to determine whether to periodically detect the associated early warning parameters, and determine whether to perform key analysis on the monitoring range according to the associated early warning parameters; a key analysis module, which is used to set the key monitoring coefficient according to the geological parameters and the development parameters, and determine whether to perform secondary adjustment on the key monitoring coefficient; a range setting module, which is used to set the monitoring range according to the key monitoring coefficient; a safety early warning module, which is used to determine the early warning analysis method according to the activity cycle proportion and the number of active personnel, and send early warning information to users. The invention improves the timeliness of personnel safety early warning.

Description

Technical Field

[0001] The invention relates to the field of reservoir safety early warning, and in particular to a reservoir safety monitoring early warning system and a use method thereof. Background Art

[0002] Due to the frequent human activities around reservoirs, there are risks to personnel safety during the flood season or other periods of rising reservoir water levels. In addition, the current monitoring and early warning systems for reservoir safety often do not consider the impact of the geological and development conditions in different areas in actual scenarios on the probability of dangerous situations. As a result, the data integrity obtained by using only a fixed monitoring range for some data is poor, and it is impossible to promptly warn users about the safety of surrounding personnel. Therefore, how to flexibly select the setting method of the monitoring area according to the conditions of different areas and data in actual scenarios to ensure the integrity of the acquired monitoring data is an urgent problem to be solved by technical personnel in this field.

[0003] Chinese patent publication number CN117475591A discloses a reservoir dam safety monitoring system based on video and data integration and its early warning and positioning method. The system includes a dam safety monitoring sensor, a camera, a communication unit, a dam partition host, a storage unit, a central host and a central server, and an early warning module is arranged in the central host; the system can realize early warning alarm of dam safety, rapid positioning of abnormal conditions, and can realize the superposition of video and data; when an early warning occurs, the text color changes and there is a corresponding early warning symbol, which can be sent to relevant personnel for positioning. The picture and data are combined to make the data easier to save and retrieve intuitively. However, the above scheme has the following problems: the monitoring range of different areas cannot be set in a targeted manner according to the geological conditions, development conditions and personnel activities of the scenes that actually need to be monitored, resulting in low integrity of the monitoring data obtained by the user, and thus the timeliness of the personnel safety early warning cannot be guaranteed. Summary of the invention

[0004] To this end, the present invention provides a reservoir safety monitoring and early warning system to overcome the problem in the prior art that the monitoring range of different areas is not set in a targeted manner according to the geological conditions, development conditions and personnel activities of the scenes that actually need to be monitored, resulting in low integrity of the monitoring data obtained by the user, and further leading to the inability to ensure the timeliness of personnel safety warnings.

[0005] To achieve the above object, the present invention provides a reservoir safety monitoring and early warning system, comprising:

[0006] A data monitoring module is used to determine the category and range setting strategy of each target area according to the reference range fluctuation, and obtain monitoring data for each target area;

[0007] An information collection module is used to collect various monitoring information of each target monitoring reservoir to determine whether each target monitoring reservoir is an abnormal reservoir;

[0008] A range analysis module, which is connected to the data monitoring module and the information acquisition module respectively, and is used to respond to the analysis conditions to determine whether to periodically detect the associated warning parameters of each target area, and determine whether to perform a focused analysis on the monitoring range according to the associated warning parameters;

[0009] A key analysis module, which is connected to the range analysis module, is used to set the key monitoring coefficient for the key monitoring area according to the geological parameters and the development parameters, and to determine whether to perform secondary adjustment on the key monitoring coefficient for the key monitoring area in response to the personnel activity frequency corresponding to the secondary setting conditions;

[0010] A range setting module, which is connected to the key analysis module and is used to set the monitoring range of the corresponding key monitoring area according to the key monitoring coefficient of each key monitoring area;

[0011] The safety warning module is connected to the data monitoring module and the range setting module, and is used to determine the corresponding warning analysis method according to the proportion of activity cycles and the number of active personnel, so as to determine the setting method of the first warning analysis unit and the second warning analysis unit for the warning coefficient, and send warning information to the user.

[0012] Further, the data monitoring module responds to the reference range fluctuation of the setting conditions to determine the category of each target area and the range setting strategy;

[0013] For any target area,

[0014] If the setting condition responded by the data monitoring module is that the fluctuation degree of the reference range is greater than the fluctuation degree of the preset range, it is determined that the monitoring range of the target area is set in a dynamic update manner, and the target area is determined to be a key monitoring area, and the monitoring data corresponding to the target area is the key analysis data;

[0015] The setting condition responded by the data monitoring module is that the reference range fluctuation is less than or equal to the preset range fluctuation, then it is determined that the monitoring range of the target area is set using the target analysis method, and the target area is determined to be a conventional monitoring area, and the monitoring data corresponding to the target area is conventional analysis data.

[0016] Further, for any target area, the range analysis module responds to the analysis conditions and determines to periodically detect the associated warning parameters of the key monitoring area;

[0017] If the update condition of the range analysis module response is that the associated warning parameter is greater than the preset associated warning parameter, it is determined that the monitoring range of the key monitoring area in the next range analysis cycle is to be focused on analysis;

[0018] The analysis condition is that the target area analyzed by the range analysis module is determined to be a key monitoring area.

[0019] Further, the key analysis module responds to the key analysis condition, and determines to set the key monitoring coefficient for the key monitoring area according to the geological parameters and development parameters of the corresponding key monitoring area;

[0020] The key monitoring coefficients are positively correlated with the geological parameters and the development parameters respectively;

[0021] The key analysis condition is that the range analysis module determines to perform key analysis on the monitoring range of the key monitoring area in the next range analysis cycle.

[0022] Further, if the personnel activity frequency of the key analysis module in response to the secondary setting condition is greater than the preset personnel activity frequency, it is determined to increase the key monitoring coefficient of the corresponding key monitoring area according to the reference personnel activity coefficient;

[0023] The increase value of the key monitoring coefficient is positively correlated with the reference personnel activity coefficient.

[0024] Further, the range setting module responds to the range setting condition and sets the monitoring range for the corresponding key monitoring area according to the key monitoring coefficient of each key monitoring area;

[0025] According to the key monitoring coefficient, the number of fixed monitoring devices activated in the key monitoring area and the monitoring area length of the mobile monitoring device are set;

[0026] The number of activated fixed monitoring devices is positively correlated with the key monitoring coefficient;

[0027] The monitoring area length of the flow monitoring device is positively correlated with the key monitoring coefficient;

[0028] The range setting condition is that the key monitoring coefficients of each key monitoring area are set.

[0029] Furthermore, the range setting module responds to the activation analysis condition and sets the activation priority coefficient for each fixed monitoring device in the corresponding key monitoring area;

[0030] For any fixed monitoring device, the activation priority coefficient is determined according to the correlation between the edge distance and the monitoring area;

[0031] The activation priority coefficient is negatively correlated with the edge distance and the monitoring area correlation respectively;

[0032] The enabling analysis condition is that the range setting module completes the setting of the enabling quantity of the fixed monitoring devices.

[0033] Further, the safety warning module responds to the activity cycle ratio and the number of active personnel of the warning analysis condition to determine the corresponding warning analysis method;

[0034] The key analysis data collected from the monitoring range of any key monitoring area within a single data monitoring cycle,

[0035] The warning analysis condition responded by the safety warning module is that the activity cycle ratio is greater than the preset activity cycle ratio or the number of active personnel is greater than the preset number of active personnel, then it is determined that the first warning analysis unit performs detection on the cycle reference repetition coefficient;

[0036] If the warning analysis condition responded by the security warning module is that the activity cycle proportion is less than or equal to the preset activity cycle proportion and the number of active personnel is less than or equal to the preset number of active personnel, it is determined that the second warning analysis unit performs detection on the distribution status at the critical moment.

[0037] Further, the first early warning analysis unit responds to the first analysis condition, and then determines that the first early warning analysis unit determines the early warning coefficient setting mode of the corresponding key analysis data according to the periodic reference repetition coefficient;

[0038] The first analysis condition is that the safety warning module determines that the first warning analysis unit detects the periodic reference repetition coefficient;

[0039] The second early warning analysis unit responds to the second analysis condition, and then determines that the second analysis unit determines the early warning coefficient setting mode of the corresponding key analysis data according to the distribution state of the personnel activity segment;

[0040] The second analysis condition is that the safety warning module determines that the second warning analysis unit detects the distribution state of the personnel activity section.

[0041] The present invention also provides a method for using the reservoir safety monitoring and early warning system, comprising:

[0042] Determine the category and range setting strategy of each target area according to the reference range fluctuation of each target area;

[0043] For key analysis data, periodically detect the associated warning parameters of each target area, and determine whether to conduct key analysis on the monitoring range based on the associated warning parameters;

[0044] Under the key analysis conditions, the key monitoring coefficient of the key monitoring area is set according to the geological parameters and development parameters of the key monitoring area, and whether to make a secondary adjustment to the key monitoring coefficient of the corresponding key monitoring area is determined according to the frequency of personnel activities;

[0045] The monitoring range of the corresponding key monitoring area is set according to the key monitoring coefficient of each target area, and the monitoring data of each key monitoring area is collected according to the updated monitoring range;

[0046] Determine the warning analysis method based on the activity cycle proportion and the number of active personnel. The warning analysis method is to determine the setting method of the warning coefficient of the key analysis data in the corresponding data monitoring cycle based on the cycle reference repetition coefficient or the distribution status of the key moment;

[0047] Based on the set warning coefficient, warning information is transmitted to users.

[0048] Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical scheme of the present invention, a targeted range setting method is adopted for target areas of different categories, a dynamic update method is adopted for setting the monitoring range for key analysis data, and the key monitoring coefficient is set by detecting the geological parameters and development parameters of each key monitoring area to determine the monitoring range, thereby avoiding incomplete monitoring range coverage due to unexpected situations in the target area. The present invention improves the integrity of the monitoring data obtained by the user, thereby improving the timeliness of personnel safety warnings.

[0049] Furthermore, in the present invention, the category and range setting strategy of the corresponding target area are determined according to the reference range fluctuation of each target area. The reference range fluctuation can characterize the situation where the monitoring range of the target area fails due to the abnormal state of the reservoir, and then determine whether it is necessary to set the monitoring range for each target area by adopting a dynamic update method, which can effectively ensure the validity of the set monitoring range, and then ensure the integrity of the monitoring data obtained by the user.

[0050] Furthermore, in the present invention, key monitoring coefficients of target areas are set according to geological parameters and development parameters of the target areas, and whether to perform secondary adjustments to the key monitoring coefficients of the corresponding target areas is determined according to the frequency of personnel activities. The probability of dangerous situations occurring in each target area is represented by the geological parameters and development parameters of each target area, thereby representing the demand for monitoring coverage. In addition, when the frequency of personnel activities is high, the key monitoring coefficients are adjusted to ensure that the set key monitoring coefficients are more in line with actual scenarios. The present invention improves the integrity of monitoring data obtained by users.

[0051] Furthermore, the present invention determines the warning analysis method according to the proportion of activity cycles and the number of active personnel. If the proportion of activity cycles is greater than the preset proportion of activity cycles or the number of active personnel is greater than the preset number of active personnel, the setting method of the warning coefficient of the key analysis data in the corresponding data monitoring period is determined according to the cycle reference repetition coefficient. When the cycle reference repetition coefficient is small, the warning coefficient is set according to the geological conditions and personnel activities in different regions. When the cycle reference repetition coefficient is large, the corresponding data in the data monitoring period where personnel activities are repeatedly present will be set with a larger warning coefficient. While improving the analysis efficiency, the effectiveness of the warning coefficient setting results is guaranteed.

[0052] Furthermore, in the present invention, when the proportion of activity cycles is less than or equal to the preset proportion of activity cycles and the number of active personnel is less than or equal to the preset number of active personnel, the distribution status at the critical moment is detected, and the setting method of the warning coefficient of the key analysis data in the corresponding data monitoring period is determined according to the distribution status at the critical moment. For the critical moment in the dense state, the key analysis data of the corresponding part of the dense cycle is extracted to set the warning coefficient; and for the critical moment in the dispersed state, the warning coefficient is set according to the positional danger factor of the personnel, so that the setting method of the warning coefficient is more in line with the actual scenario. While improving the analysis efficiency, the effectiveness of the warning coefficient setting result is guaranteed. The present invention improves the timeliness of personnel safety warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a module connection diagram of the reservoir safety monitoring and early warning system of the present invention;

[0054] Figure 2 It is a module structure block diagram of the safety warning module of the present invention;

[0055] Figure 3 A flow chart showing that the security warning module of the present invention responds to the activity cycle ratio and the number of active personnel of the warning analysis conditions to determine the corresponding warning analysis method;

[0056] Figure 4 It is a schematic diagram of the use method of the reservoir safety monitoring and early warning system of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0059] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0060] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] See also Figures 1 to 3 As shown, the present invention provides a reservoir safety monitoring and early warning system, comprising:

[0062] A data monitoring module is used to determine the category and range setting strategy of each target area according to the reference range fluctuation, and obtain monitoring data for each target area;

[0063] An information collection module is used to collect various monitoring information of each target monitoring reservoir to determine whether each target monitoring reservoir is an abnormal reservoir;

[0064] A range analysis module, which is connected to the data monitoring module and the information acquisition module respectively, and is used to respond to the analysis conditions to determine whether to periodically detect the associated warning parameters of each target area, and determine whether to perform a focused analysis on the monitoring range according to the associated warning parameters;

[0065] A key analysis module, which is connected to the range analysis module, is used to set the key monitoring coefficient for the target area according to the geological parameters and the development parameters, and to determine whether to perform secondary adjustment on the key monitoring coefficient for the target area in response to the personnel activity frequency corresponding to the secondary setting conditions;

[0066] A range setting module, which is connected to the key analysis module and is used to set the monitoring range of the corresponding target area according to the key monitoring coefficient of each target area;

[0067] The safety warning module is connected to the data monitoring module and the range setting module, and is used to determine the corresponding warning analysis method according to the proportion of activity cycles and the number of active personnel, so as to determine the setting method of the first warning analysis unit and the second warning analysis unit for the warning coefficient, and send warning information to the user.

[0068] Among them, the application scenario of the present invention is reservoir safety monitoring, and early warning information is sent to users. The reservoir river channel that needs to be monitored for personnel safety is divided to obtain several target areas of the same area. Any target area contains the edge line of the river channel under any circumstances, and the monitoring data is the collected video information; a data monitoring cycle is applied in the present invention, and the user can set the duration of the data monitoring cycle according to the actual working scenario. The higher the user's requirements for the timeliness of personnel safety warnings, the shorter the duration of the data monitoring cycle. A data monitoring cycle duration is provided, and the duration of the data monitoring cycle is 15 minutes. At the end of each data monitoring cycle, the associated early warning parameters of each target area are detected;

[0069] The target monitoring reservoir is a reservoir where users need to collect monitoring information and determine whether it has abnormalities. The categories of monitoring information include but are not limited to: rainfall, water level and seepage pressure. Each item of monitoring information is set with a corresponding warning value, and the relationship between the value of the actually collected monitoring information and the warning value is used to determine whether the monitoring information has abnormalities. The value of the warning value corresponding to each item of monitoring information can be adaptively set by the user according to the actual working scenario. For example, if one item of monitoring information is rainfall, and the value of the collected rainfall is greater than its corresponding warning value, then the monitoring information is determined to be abnormal monitoring information. For any target monitoring reservoir, if each item of the target monitoring reservoir If there is abnormal monitoring information in the monitoring information, the target monitoring reservoir is determined to be an abnormal reservoir; an information collection cycle is applied in the present invention, and the user can set the duration of the information collection cycle according to the actual working scenario. The higher the user's requirements for the timeliness of personnel safety warnings, the shorter the duration of the information collection cycle. A duration of an information collection cycle is provided, and the duration of the information collection cycle is 15 minutes. At the end of each information collection cycle, various monitoring information of each target monitoring reservoir is collected, and it is determined whether each target monitoring reservoir is an abnormal reservoir; the information collection module in the present invention also has an early warning display unit for highlighting various monitoring information of each target monitoring reservoir;

[0070] The present invention applies several historical monitoring records, and any one of the historical monitoring records records at least one reference range fluctuation, water level difference value, associated warning parameters, personnel activity frequency, number of active personnel, activity cycle proportion, interval time between abnormal moments, cycle reference repetition coefficient, number of personnel activity sections, and number of monitoring range updates in the monitoring record for each target area, and each historical monitoring record corresponds to a qualified mark, which records whether the requirements for the integrity of the acquired monitoring data, the timeliness of the personnel safety warning, and the effectiveness of the personnel safety warning meet user needs.

[0071] Specifically, the data monitoring module responds to the reference range fluctuation of the setting conditions to determine the category of each target area and the range setting strategy;

[0072] For any target area,

[0073] If the setting condition responded by the data monitoring module is that the fluctuation degree of the reference range is greater than the fluctuation degree of the preset range, it is determined that the monitoring range of the target area is set in a dynamic update manner, and the target area is determined to be a key monitoring area, and the monitoring data corresponding to the target area is the key analysis data;

[0074] The setting condition responded by the data monitoring module is that the reference range fluctuation is less than or equal to the preset range fluctuation, then it is determined that the monitoring range of the target area is set using the target analysis method, and the target area is determined to be a conventional monitoring area, and the monitoring data corresponding to the target area is conventional analysis data.

[0075] Wherein, for any target monitoring data, the reference range fluctuation is the number of times the corresponding monitoring range is updated in the historical monitoring records. The value of the preset range fluctuation can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical monitoring records. The higher the user's requirements for the integrity of the acquired monitoring data, the greater the value of the preset range fluctuation. A method for setting the value of the preset range fluctuation is provided, and the minimum value of the reference range fluctuation of each key monitoring area in the historical monitoring records that meets the user's requirements for the integrity of the acquired monitoring data is recorded as the preset range fluctuation;

[0076] If the reference range fluctuation is greater than the preset range fluctuation, the monitoring range of the target area is set by dynamic update, that is, the monitoring range of the target area is periodically updated; if the reference range fluctuation is greater than the preset range fluctuation, the monitoring range of the target area is set by target analysis, that is, only the monitoring data of the target area is collected according to a fixed monitoring range, and the monitoring range is not updated; the monitoring range coverage is set according to the frequency of personnel activities, and the monitoring range coverage is positively correlated with the frequency of personnel activities, and the monitoring range coverage = the area of ​​the monitoring range / the area of ​​the target area.

[0077] Specifically, for any target area, the range analysis module responds to the analysis conditions and determines to periodically detect the associated warning parameters of the key monitoring area;

[0078] If the update condition of the range analysis module response is that the associated warning parameter is greater than the preset associated warning parameter, it is determined that the monitoring range of the key monitoring area in the next range analysis cycle is to be focused on analysis;

[0079] The analysis condition is that the target area analyzed by the range analysis module is determined to be a key monitoring area.

[0080] Among them, the present invention applies a continuous cycle of range analysis cycle, and the user can set the duration of the range analysis cycle according to the actual working scenario. The higher the user's requirements for the integrity of the acquired monitoring data, the shorter the duration of the range analysis cycle. A range analysis cycle duration is provided, and the duration of the range analysis cycle is 1h. At the end of each range analysis cycle, the associated warning parameters of each target area are detected; the next range analysis cycle refers to the range analysis cycle after the current moment and with the shortest interval with the current moment;

[0081] For any target area, the associated warning parameter is the number of abnormal associated reservoirs, and the abnormal associated reservoirs are abnormal reservoirs with an associated relationship. If a reservoir is a reservoir with a river connecting it to the target area, it is determined that the reservoir has an associated relationship with the target area. The value of the preset associated warning parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to historical monitoring records. The higher the user's requirements for the timeliness of personnel safety warnings, the smaller the value of the preset associated warning parameter. A method for setting the value of the preset associated warning parameter is provided, and the historical monitoring records that focus on the monitoring range of the key monitoring area are recorded as associated reference records, and the minimum value of each associated warning parameter in the associated reference records that meets the user's requirements for the timeliness of personnel safety warnings is recorded as the preset associated warning parameter.

[0082] Specifically, the key analysis module responds to the key analysis condition, and determines to set the key monitoring coefficient for the key monitoring area according to the geological parameters and development parameters of the corresponding key monitoring area;

[0083] The key monitoring coefficients are positively correlated with the geological parameters and the development parameters respectively;

[0084] The key analysis condition is that the range analysis module determines to perform key analysis on the monitoring range of the key monitoring area in the next range analysis cycle.

[0085] Among them, the abnormal probability parameter is determined according to the geological parameters and development parameters of the key monitoring area, and the key monitoring coefficient of the key monitoring area is set according to the abnormal probability parameter. The key monitoring coefficient is positively correlated with the abnormal probability parameter, and the abnormal probability parameter is the sum of the geological parameters and the development parameters; the geological parameter is the sum of the product of the sandy soil ratio and the river channel curvature and the corresponding geological influence coefficient, the sandy soil ratio is the mass ratio of sandy soil in the rock and soil in the key monitoring area, the river channel curvature is the reference curvature radius of the river channel edge in the key monitoring area, the reference curvature radius is the average value of the curvature radius detected at each reference detection point, and the reference detection point is a number of randomly acquired positions on the edge of the river channel in the key monitoring area. Users can obtain reference detection points according to actual work needs. The number is set, and a value of the number of reference detection points is provided, and the value of the number of reference detection points is 5; if there is no artificial development activity in the key monitoring area, the development parameter is recorded as 0, if there is artificial development activity in the key monitoring area, the development parameter is determined according to the duration of development, and the value of the development parameter is positively correlated with the duration of development, and the duration of development is the maximum value of the duration of each artificial development activity in the key monitoring area. Artificial development activities include but are not limited to sand mining and crop planting. The present invention provides a detection method for the proportion of sand and soil, randomly excavating several portions of rock and soil in the key monitoring area, screening the obtained rock and soil to obtain sandy soil, and the proportion of sand and soil = the sum of the mass of sandy soil in the several portions of rock and soil obtained / the sum of the mass of the several portions of rock and soil obtained.

[0086] Specifically, if the personnel activity frequency of the key analysis module in response to the secondary setting condition is greater than the preset personnel activity frequency, it is determined that the key monitoring coefficient of the corresponding key monitoring area is increased according to the reference personnel activity coefficient;

[0087] The increase value of the key monitoring coefficient is positively correlated with the reference personnel activity coefficient.

[0088] Among them, for a single target area, the personnel activity frequency = the number of data monitoring periods in which there are personnel activities in the target area in the historical monitoring records / the number of data monitoring periods in the historical monitoring records. The value of the preset personnel activity frequency can be determined by the user according to the actual work scenario. For example, the user can set it according to the historical monitoring records. The higher the user's requirement for the integrity of the acquired monitoring data, the smaller the value of the preset personnel activity frequency. A method for setting the value of the preset personnel activity frequency is provided, and the historical monitoring records for secondary adjustment of the key monitoring coefficient of the key monitoring area are recorded as personnel frequency reference records, and the minimum value of each personnel activity frequency in the personnel frequency reference records that meets the user's requirement for the integrity of the acquired monitoring data is recorded as the preset personnel activity frequency; the reference personnel activity coefficient is the average value of the number of active personnel detected in each personnel activity period in the historical monitoring records, and the personnel activity period is the data monitoring period in which there are personnel activities in the historical monitoring records.

[0089] Specifically, the range setting module responds to the range setting condition and sets the monitoring range for the corresponding key monitoring area according to the key monitoring coefficient of each key monitoring area;

[0090] According to the key monitoring coefficient, the number of fixed monitoring devices activated in the key monitoring area and the monitoring area length of the mobile monitoring device are set;

[0091] The number of activated fixed monitoring devices is positively correlated with the key monitoring coefficient;

[0092] The monitoring area length of the flow monitoring device is positively correlated with the key monitoring coefficient;

[0093] The range setting condition is that the key monitoring coefficients of each key monitoring area are set.

[0094] Among them, there are several fixed monitoring devices in the present invention to obtain corresponding target monitoring data, and can cover all areas that need to be monitored. The enabled number is the number of fixed monitoring devices that perform the task of monitoring the target monitoring data. There are also several mobile monitoring devices in the present invention. For any mobile monitoring device, its monitoring area is a circular area with the corresponding key point as the center and the monitoring area length as the radius. The key point is the center point of the edge line away from the river side in the key monitoring area where the mobile monitoring device collects monitoring data. The mobile monitoring device performs patrol monitoring according to its corresponding monitoring area. The present invention does not make specific settings for the models of the fixed monitoring devices and mobile monitoring devices used, and users can make adaptive settings according to actual working scenarios.

[0095] Specifically, the range setting module responds to the activation analysis condition and sets the activation priority coefficient of each fixed monitoring device in the corresponding key monitoring area;

[0096] For any fixed monitoring device, the activation priority coefficient is determined according to the correlation between the edge distance and the monitoring area;

[0097] The activation priority coefficient is negatively correlated with the edge distance and the monitoring area correlation respectively;

[0098] The enabling analysis condition is that the range setting module completes the setting of the enabling quantity of the fixed monitoring devices.

[0099] Among them, for any fixed monitoring device, the edge distance is the shortest distance between the location of the fixed monitoring device and the edge of the river channel to which it belongs in the key monitoring area, the monitoring area correlation = the sum of the areas of the related devices of the fixed monitoring device and its overlapping coverage area / the area of ​​the monitoring coverage area of ​​the fixed monitoring device, each fixed monitoring device has a corresponding monitoring coverage area, the monitoring coverage area is a set of areas where the fixed monitoring device can obtain monitoring data, the related devices are fixed monitoring devices that overlap with the monitoring coverage area of ​​the fixed monitoring device, and the common monitoring coverage area of ​​the two fixed monitoring devices is recorded as the overlapping coverage area, the device criticality = 1 / (edge ​​distance + monitoring area correlation), the activation priority coefficient is positively correlated with the device criticality, for areas closer to the river channel edge in the key monitoring area, more complete monitoring data needs to be collected, so the activation priority coefficient is negatively correlated with the edge distance, and fixed monitoring devices with smaller monitoring area correlation are given priority, which can avoid redundancy of fixed monitoring devices while ensuring the integrity of the collected monitoring data.

[0100] Specifically, the security warning module responds to the activity cycle ratio and the number of active personnel of the warning analysis condition to determine the corresponding warning analysis method;

[0101] The key analysis data collected from the monitoring range of any key monitoring area within a single data monitoring cycle,

[0102] The warning analysis condition responded by the safety warning module is that the activity cycle ratio is greater than the preset activity cycle ratio or the number of active personnel is greater than the preset number of active personnel, then it is determined that the first warning analysis unit performs detection on the cycle reference repetition coefficient;

[0103] If the warning analysis condition responded by the security warning module is that the activity cycle proportion is less than or equal to the preset activity cycle proportion and the number of active personnel is less than or equal to the preset number of active personnel, it is determined that the second warning analysis unit performs detection on the distribution status at the critical moment.

[0104] Among them, for the monitoring data collected within the monitoring range of any target area within a single data monitoring cycle, the activity cycle proportion = the sum of the duration of each personnel activity segment / the duration of the data monitoring cycle, the personnel activity segment is a video segment with active personnel, the number of active personnel is the number of different active personnel appearing within the data monitoring cycle, and the active personnel are personnel appearing within the monitoring range of the target area. The present invention does not specifically limit how to extract active personnel and video segments with active personnel, which is easy to understand for those skilled in the art and will not be repeated here. The values ​​of the preset activity cycle proportion and the preset number of active personnel can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical monitoring records. A method for determining the value of the preset activity cycle proportion is provided. The historical monitoring records detected by the first warning analysis unit for the period reference repetition coefficient are recorded as warning reference records. The minimum value of the activity cycle proportion in the warning reference record that meets the user's requirements for the effectiveness of the personnel safety warning is recorded as the preset activity cycle proportion. A method for determining the value of the preset number of active personnel is provided. The minimum value of the number of active personnel in the warning reference record that meets the user's requirements for the effectiveness of the personnel safety warning is recorded as the preset number of active personnel.

[0105] Specifically, the first early warning analysis unit responds to the first analysis condition, and then determines that the first early warning analysis unit determines the early warning coefficient setting mode of the corresponding key analysis data according to the periodic reference repetition coefficient;

[0106] The first analysis condition is that the safety warning module determines that the first warning analysis unit detects the periodic reference repetition coefficient;

[0107] The second early warning analysis unit responds to the second analysis condition, and then determines that the second analysis unit determines the early warning coefficient setting mode of the corresponding key analysis data according to the distribution state of the personnel activity segment;

[0108] The second analysis condition is that the safety warning module determines that the second warning analysis unit detects the distribution state of the personnel activity section.

[0109] Wherein, if the first setting condition responded by the first early warning analysis unit is that the period reference repetition coefficient is greater than the preset repetition coefficient, it is determined that the first early warning analysis unit determines the early warning coefficient of the key analysis data of the corresponding data monitoring period part according to the period reference repetition coefficient, and marks the key analysis data of this part;

[0110] The first setting condition responded by the first early warning analysis unit is that the period reference repetition coefficient is less than or equal to the preset repetition coefficient, then it is determined that the first early warning analysis unit determines the early warning coefficient of the key analysis data of the corresponding data monitoring period part according to the number of active personnel, and marks the key analysis data of this part;

[0111] For an abnormal activity cycle, the cycle reference repetition coefficient is the number of relevant historical abnormal moments in the historical monitoring records, the relevant historical abnormal moments are historical abnormal moments whose interval time with the abnormal moments of the abnormal activity cycle is less than the preset interval time, the abnormal moment is the starting time of the corresponding abnormal activity cycle, the historical abnormal moment is the abnormal moment of each abnormal activity cycle in the historical monitoring records, the abnormal activity cycle is a data monitoring cycle in which the activity cycle ratio is greater than the preset activity cycle ratio or the number of active personnel is greater than the preset number of active personnel, the value of the preset interval time can be determined by the user according to the actual work scenario, for example, the user can set it according to the historical monitoring records, the higher the user's requirements for the effectiveness of personnel safety warnings, the smaller the value of the preset interval time, and a method for determining the value of the preset interval time is provided, and the average value of the interval time between each relevant historical abnormal moment and the corresponding abnormal moment in the historical monitoring records that meets the user's requirements for the effectiveness of personnel safety warnings is recorded as the preset interval time;

[0112] The value of the preset repetition coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to historical monitoring records. A method for determining the value of the preset repetition coefficient is provided. The historical monitoring record for determining the warning coefficient of the key analysis data in the corresponding data monitoring cycle part according to the periodic reference repetition coefficient is recorded as the repetition coefficient reference record, and the minimum value of each periodic reference repetition coefficient in the repetition coefficient reference record that meets the user's requirements for the effectiveness of personnel safety warnings is recorded as the preset repetition coefficient; if the periodic reference repetition coefficient is greater than the preset repetition coefficient, the first warning analysis unit determines the warning coefficient of the key analysis data of the corresponding data monitoring cycle part, and the warning coefficient is positively correlated with the periodic reference repetition coefficient; if the periodic reference repetition coefficient is less than or equal to the preset repetition coefficient, the warning coefficient of the key analysis data of the corresponding data monitoring cycle part is determined according to the number of active personnel, and the warning coefficient is positively correlated with the number of active personnel.

[0113] The second setting condition responded by the second early warning analysis unit is that the distribution state of the personnel activity segments is dense, then the early warning coefficient of the key analysis data of the corresponding part is set according to the number of personnel activity segments in the dense period;

[0114] The second setting condition responded by the second early warning analysis unit is that the distribution state at the critical moment is a dispersed state, and the early warning coefficient of the key analysis data corresponding to the personnel activity segment is determined according to the position risk coefficient of each active person corresponding to the personnel activity segment for setting;

[0115] For any personnel activity section, its distribution state is determined according to the number of personnel activity sections within its preset distribution period. If the number of personnel activity sections within its preset distribution period is greater than the preset number of sections, the distribution state of the personnel activity section is determined to be a dense state. If the number of personnel activity sections within its preset distribution period is less than or equal to the preset number of sections, the distribution state of the personnel activity section is determined to be a dispersed state. The duration of the preset distribution period and the value of the preset number of sections can be determined by the user according to the actual work scenario. For example, the user can set it according to the historical monitoring records. The higher the user's requirements for the effectiveness of the personnel safety warning, the longer the duration of the preset distribution period is, providing a kind of prediction Assume that the value of the distribution period is 30% of the duration of the data monitoring period, provide a method for determining the value of the preset number of sections, determine the warning coefficient of the key analysis data corresponding to the personnel activity section according to the positional hazard coefficient of each active person corresponding to the personnel activity section, and record the historical monitoring record as the distribution reference record, and record the minimum value of the number of personnel activity sections within the preset distribution period of each densely populated personnel activity section in the distribution reference record that meets the user's requirements for the effectiveness of the personnel safety warning as the preset number of sections; for a single dense period, any of the personnel activity sections is at least within the preset distribution period of a densely populated personnel activity section;

[0116] When setting the warning coefficient of the key analysis data of the corresponding part according to the number of personnel activity sections in the intensive period, the warning coefficient of the key analysis data of the corresponding part of the intensive period is positively correlated with the number of personnel activity sections; when setting the warning coefficient of the key analysis data corresponding to the personnel activity section according to the position danger coefficient of each active person corresponding to the personnel activity section, for an active person, the position danger coefficient is determined according to the river channel interval distance of the active person and the associated warning parameters of the target area where the active person is located, the position danger coefficient = ln (associated warning parameters / river channel interval distance), the river channel interval distance is the shortest distance between the position of the active person and the edge of the river channel in the target area, the warning coefficient is positively correlated with the reference position danger coefficient, the reference position danger coefficient is the average value of the position danger coefficients of each active person corresponding to the critical moment, and the warning coefficient of the key analysis data corresponding to the part other than the personnel activity section is recorded as 0.

[0117] See also Figure 4As shown, it is a schematic diagram of a method for using the reservoir safety monitoring and early warning system of the present invention. The present invention provides a method for using the reservoir safety monitoring and early warning system, comprising:

[0118] Determine the category and range setting strategy of each target area according to the reference range fluctuation of each target area;

[0119] For key analysis data, periodically detect the associated warning parameters of each target area, and determine whether to conduct key analysis on the monitoring range based on the associated warning parameters;

[0120] Under the key analysis conditions, the key monitoring coefficient of the key monitoring area is set according to the geological parameters and development parameters of the key monitoring area, and whether to make a secondary adjustment to the key monitoring coefficient of the corresponding key monitoring area is determined according to the frequency of personnel activities;

[0121] The monitoring range of the corresponding key monitoring area is set according to the key monitoring coefficient of each target area, and the monitoring data of each key monitoring area is collected according to the updated monitoring range;

[0122] Determine the warning analysis method based on the activity cycle proportion and the number of active personnel. The warning analysis method is to determine the setting method of the warning coefficient of the key analysis data in the corresponding data monitoring cycle based on the cycle reference repetition coefficient or the distribution status of the key moment;

[0123] Based on the set warning coefficient, warning information is transmitted to users.

[0124] When the warning information is transmitted to the user, the warning coefficient is transmitted together with the corresponding part of the monitoring data, so that the user can clearly know the warning coefficient of each part of the monitoring data for further analysis.

[0125] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0126] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A reservoir safety monitoring and early warning system, characterized in that: include: A data monitoring module is used to determine the category and range setting strategy of each target area according to the reference range fluctuation, and obtain monitoring data for each target area; An information collection module is used to collect various monitoring information of each target monitoring reservoir to determine whether each target monitoring reservoir is an abnormal reservoir; A range analysis module, which is connected to the data monitoring module and the information acquisition module respectively, and is used to respond to the analysis conditions to determine whether to periodically detect the associated warning parameters of each target area, and determine whether to perform a focused analysis on the monitoring range according to the associated warning parameters; A key analysis module, which is connected to the range analysis module, is used to set the key monitoring coefficient for the key monitoring area according to the geological parameters and the development parameters, and to determine whether to perform secondary adjustment on the key monitoring coefficient for the key monitoring area in response to the personnel activity frequency corresponding to the secondary setting conditions; A range setting module, which is connected to the key analysis module and is used to set the monitoring range of the corresponding key monitoring area according to the key monitoring coefficient of each key monitoring area; A safety warning module, which is connected to the data monitoring module and the range setting module, is used to determine the corresponding warning analysis method according to the activity cycle proportion and the number of active personnel, so as to determine the setting method of the first warning analysis unit and the second warning analysis unit for the warning coefficient, and send warning information to the user; The first early warning analysis unit determines the early warning coefficient of the key analysis data of the corresponding data monitoring period part according to the period reference repetition coefficient or the number of active personnel, and marks the key analysis data of this part; The second setting condition responded by the second early warning analysis unit is that the distribution state of the personnel activity segments is dense, then the early warning coefficient of the key analysis data of the corresponding part is set according to the number of personnel activity segments in the dense period; The second setting condition responded by the second early warning analysis unit is that the distribution state at the critical moment is a dispersed state, and the early warning coefficient of the key analysis data corresponding to the personnel activity segment is determined according to the position risk coefficient of each active person corresponding to the personnel activity segment for setting; For any target monitoring data, the reference range fluctuation is the number of times the corresponding monitoring range is updated in the historical monitoring records; For any target area, the associated warning parameter is the number of abnormal associated reservoirs, and the abnormal associated reservoirs are abnormal reservoirs with associated relationships; Determine the abnormal probability parameter according to the geological parameters and development parameters of the key monitoring area, and set the key monitoring coefficient for the key monitoring area according to the abnormal probability parameter. The key monitoring coefficient is positively correlated with the abnormal probability parameter, and the abnormal probability parameter is the sum of the geological parameters and the development parameters. The activity cycle proportion=the sum of the duration of each personnel activity segment / the duration of the data monitoring cycle, and the personnel activity segment is the video segment with active personnel.

2. The reservoir safety monitoring and early warning system according to claim 1 is characterized in that: The data monitoring module responds to the reference range fluctuation of the setting conditions to determine the category of each target area and the range setting strategy; For any target area, If the setting condition responded by the data monitoring module is that the fluctuation degree of the reference range is greater than the fluctuation degree of the preset range, it is determined that the monitoring range of the target area is set in a dynamic update manner, and the target area is determined to be a key monitoring area, and the monitoring data corresponding to the target area is the key analysis data; The setting condition responded by the data monitoring module is that the reference range fluctuation is less than or equal to the preset range fluctuation, then it is determined that the monitoring range of the target area is set using the target analysis method, and the target area is determined to be a conventional monitoring area, and the monitoring data corresponding to the target area is conventional analysis data.

3. The reservoir safety monitoring and early warning system according to claim 2 is characterized in that: For any target area, the range analysis module responds to the analysis conditions and determines to periodically detect the associated warning parameters of the key monitoring area; If the update condition of the range analysis module response is that the associated warning parameter is greater than the preset associated warning parameter, it is determined that the monitoring range of the key monitoring area in the next range analysis cycle is to be focused on analysis; The analysis condition is that the target area analyzed by the range analysis module is determined to be a key monitoring area.

4. The reservoir safety monitoring and early warning system according to claim 3 is characterized in that: The key analysis module responds to the key analysis condition and determines to set the key monitoring coefficient for the key monitoring area according to the geological parameters and development parameters of the corresponding key monitoring area; The key monitoring coefficients are positively correlated with the geological parameters and the development parameters respectively; The key analysis condition is that the range analysis module determines to perform key analysis on the monitoring range of the key monitoring area in the next range analysis cycle.

5. The reservoir safety monitoring and early warning system according to claim 4 is characterized in that: If the personnel activity frequency of the key analysis module in response to the secondary setting condition is greater than the preset personnel activity frequency, it is determined that the key monitoring coefficient of the corresponding key monitoring area is increased according to the reference personnel activity coefficient; The increase value of the key monitoring coefficient is positively correlated with the reference personnel activity coefficient.

6. The reservoir safety monitoring and early warning system according to claim 5 is characterized in that: The range setting module responds to the range setting condition and sets the monitoring range of the corresponding key monitoring area according to the key monitoring coefficient of each key monitoring area; According to the key monitoring coefficient, the number of fixed monitoring devices activated in the key monitoring area and the monitoring area length of the mobile monitoring device are set; The number of activated fixed monitoring devices is positively correlated with the key monitoring coefficient; The monitoring area length of the flow monitoring device is positively correlated with the key monitoring coefficient; The range setting condition is that the key monitoring coefficients of each key monitoring area are set.

7. The reservoir safety monitoring and early warning system according to claim 6 is characterized in that: The range setting module responds to the activation analysis condition and sets the activation priority coefficient of each fixed monitoring device in the corresponding key monitoring area; For any fixed monitoring device, the activation priority coefficient is determined according to the correlation between the edge distance and the monitoring area; The activation priority coefficient is negatively correlated with the edge distance and the monitoring area correlation respectively; The activation analysis condition is that the range setting module completes the setting of the activation quantity of the fixed monitoring device.

8. The reservoir safety monitoring and early warning system according to claim 7 is characterized in that: The security warning module responds to the activity cycle ratio and the number of active personnel of the warning analysis conditions to determine the corresponding warning analysis method; The key analysis data collected from the monitoring range of any key monitoring area within a single data monitoring cycle, The warning analysis condition responded by the safety warning module is that the activity cycle ratio is greater than the preset activity cycle ratio or the number of active personnel is greater than the preset number of active personnel, then it is determined that the first warning analysis unit performs detection on the cycle reference repetition coefficient; If the warning analysis condition responded by the security warning module is that the activity cycle ratio is less than or equal to the preset activity cycle ratio and the number of active personnel is less than or equal to the preset number of active personnel, it is determined that the second warning analysis unit performs detection on the distribution state at the critical moment; For an abnormal activity cycle, the cycle reference repetition coefficient is the number of relevant historical abnormal moments in the historical monitoring records, the relevant historical abnormal moments are historical abnormal moments whose interval time with the abnormal moments of the abnormal activity cycle is less than the preset interval time, the abnormal moment is the starting time of the corresponding abnormal activity cycle, the historical abnormal moment is the abnormal moment of each abnormal activity cycle in the historical monitoring records, and the abnormal activity cycle is a data monitoring period in which the proportion of activity cycles is greater than the preset proportion of activity cycles or the number of active personnel is greater than the preset number of active personnel.

9. The reservoir safety monitoring and early warning system according to claim 8 is characterized in that: The first early warning analysis unit responds to the first analysis condition, and then determines the early warning coefficient setting mode of the corresponding key analysis data determined by the first early warning analysis unit according to the periodic reference repetition coefficient; The first analysis condition is that the safety warning module determines that the first warning analysis unit detects the periodic reference repetition coefficient; The second early warning analysis unit responds to the second analysis condition, and then determines that the second analysis unit determines the early warning coefficient setting mode of the corresponding key analysis data according to the distribution state of the personnel activity segment; The second analysis condition is that the security warning module determines that the second warning analysis unit detects the distribution state of the personnel activity segment, and the personnel activity segment is a video segment with active personnel.

10. A method for using the reservoir safety monitoring and early warning system according to any one of claims 1 to 9, characterized in that: include: Determine the category and range setting strategy of each target area according to the reference range fluctuation of each target area; For key analysis data, periodically detect the associated warning parameters of each target area, and determine whether to conduct key analysis on the monitoring range based on the associated warning parameters; Under the key analysis conditions, the key monitoring coefficient of the key monitoring area is set according to the geological parameters and development parameters of the key monitoring area, and whether to make a secondary adjustment to the key monitoring coefficient of the corresponding key monitoring area is determined according to the frequency of personnel activities; The monitoring range of the corresponding key monitoring area is set according to the key monitoring coefficient of each target area, and the monitoring data of each key monitoring area is collected according to the updated monitoring range; Determine the warning analysis method based on the activity cycle proportion and the number of active personnel. The warning analysis method is to determine the setting method of the warning coefficient of the key analysis data in the corresponding data monitoring cycle based on the cycle reference repetition coefficient or the distribution status of the key moment; Based on the set warning coefficient, warning information is transmitted to users.

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