Electric shock prevention early warning method and system based on Internet of Things

Abstract

The invention relates to the technical field of anti-electric shock early warning, and discloses an anti-electric shock early warning method and system based on the Internet of Things, and the method comprises the steps: deploying data detection points on to-be-early-warned equipment, collecting the feature data of the data detection points, and determining a first electric shock influence curve and a second electric shock influence curve; calculating a first ascending section electric shock coefficient and a first descending section electric shock coefficient of the first electric shock influence curve, and calculating a second ascending section electric shock coefficient and a second descending section electric shock coefficient of the second electric shock influence curve; calculating a corresponding first ascending section analysis value, a first descending section analysis value, a second ascending section analysis value and a second descending section analysis value; according to the invention, intelligent electric shock analysis can be carried out on the power plant, early warning reminding can be given in real time, workers can be reminded of timely processing, the safety protection level of the power plant is improved, the occurrence rate of electric shock accidents is reduced, and powerful guarantee is provided for safe and stable operation of the power plant.

Description

Technical Field

[0001] The present invention relates to the field of electric shock prevention warning technology, and in particular to an electric shock prevention warning method and system based on the Internet of Things. Background Art

[0002] Power plants are an important part of the power system, and their safe operation is of great significance to ensuring power supply and social stability. However, in the daily operation of power plants, electric shock accidents occur from time to time due to factors such as complex equipment and harsh environment, posing a serious threat to the life safety of workers. Therefore, how to effectively prevent and reduce the occurrence of electric shock accidents in power plants has become an urgent problem to be solved.

[0003] At present, the anti-electric shock warning methods of power plants mainly include the following: First, by setting up safety warning signs and isolation facilities, remind workers to pay attention to safety; second, using insulating materials and grounding technology to reduce the voltage on the surface of the equipment and reduce the risk of electric shock; third, using infrared sensing, ultrasonic and other technologies to monitor the activities of people around the equipment in real time, and immediately issue an alarm once an abnormal situation is found. However, these methods all have certain limitations. For example, although safety warning signs and isolation facilities can play a certain reminder role, they cannot monitor the safety status of the equipment in real time; although insulating materials and grounding technology can reduce the voltage on the surface of the equipment, they cannot completely eliminate the risk of electric shock; although infrared sensing, ultrasonic and other technologies can monitor the activities of people around the equipment in real time, they are easily interfered by environmental factors, resulting in false alarms or missed alarms. Summary of the invention

[0004] The embodiment of the present invention provides an anti-electric shock warning method and system based on the Internet of Things, which intelligently analyzes the safety status of a power plant. Once an abnormal situation is found, a warning message is immediately issued to remind the staff to deal with it in time. This can not only improve the safety protection level of the power plant, but also reduce the incidence of electric shock accidents, providing a strong guarantee for the safe and stable operation of the power plant.

[0005] In order to achieve the above object, the present invention provides an anti-electric shock warning method based on the Internet of Things, comprising:

[0006] Deploy multiple data detection points on the equipment to be warned, collect characteristic data of each data detection point, and determine a first electric shock influence curve and a second electric shock influence curve according to the characteristic data;

[0007] Performing a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculating a first rising segment electric shock coefficient and a first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating a second rising segment electric shock coefficient and a second falling segment electric shock coefficient of the second electric shock influence curve;

[0008] Perform a second analysis on all first rising segment electric shock coefficients, first falling segment electric shock coefficients, second rising segment electric shock coefficients, and second falling segment electric shock coefficients, and calculate the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results;

[0009] Based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value, it is judged whether the equipment to be warned has an electric shock risk, and if so, an anti-electric shock warning is issued.

[0010] Furthermore, when collecting characteristic data of each data detection point and determining the first electric shock influence curve and the second electric shock influence curve according to the characteristic data, it includes:

[0011] Detecting a first voltage value of a data detection point, and determining whether the first voltage value is within a preset voltage variation range, and if so, deleting the corresponding data detection point;

[0012] If not, the data detection point is voltage-added based on a preset transformer, and a second voltage value of the data detection point is detected within a preset time period;

[0013] Correcting the voltage variation range according to the preset time period and obtaining a corrected voltage variation range;

[0014] determining whether the second voltage value is within the voltage variation range, and if so, deleting the corresponding data detection point;

[0015] If not, an abnormal code is generated for the corresponding data detection point;

[0016] Analyze the remaining data detection points, and perform curve fitting on all the second voltage values ​​to obtain the second electric shock influence curve;

[0017] The first voltage values ​​and the second voltage values ​​corresponding to all deleted data detection points are extracted, and curve fitting is performed on all first voltage values ​​to obtain the first electric shock influence curve.

[0018] Further, when the voltage variation range is corrected according to the preset time period and a corrected voltage variation range is obtained, it includes:

[0019] Extracting the left boundary value and the right boundary value of the voltage variation range;

[0020] The correction factor for the voltage variation range is calculated according to the following formula:

[0021]

[0022] Where h is the correction factor for the voltage variation range, E(e1, e2) 右 is the right boundary value, E(e1, e2) 左 is the left boundary value, T is the preset time period;

[0023] Calculate a first product value of the correction coefficient and the left boundary value and use it as the correction left boundary value;

[0024] Calculate a second product value of the correction coefficient and the right boundary value and use it as the correction right boundary value;

[0025] The corrected voltage variation range is obtained according to the corrected left boundary value and the corrected right boundary value.

[0026] Further, when calculating the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve, it includes:

[0027] Marking the rising segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one rising segment;

[0028] Determine the rising slope of the rising section, and calculate the electric shock coefficient of the first rising section of the rising section according to the following formula:

[0029]

[0030] Wherein, F1 is the electric shock coefficient of the first rising section, k1 is the rising slope of the rising section, n1 is the number of the first voltage value and the second voltage value corresponding to the rising section, n0 is the number of the maximum voltage values ​​among all the first voltage values ​​and the second voltage values ​​corresponding to the rising section, Yi is the i-th voltage value in the rising section, and n is the number of the first voltage value and the second voltage value on the first electric shock influence curve;

[0031] Marking a descending segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one descending segment;

[0032] Determine the descending slope of the descending section, and calculate the electric shock coefficient of the first descending section of the descending section according to the following formula:

[0033]

[0034] Wherein, F2 is the electric shock coefficient of the first descending section, k2 is the descending slope of the descending section, m1 is the number of the first voltage value and the second voltage value corresponding to the descending section, m0 is the number of the minimum voltage value among all the first voltage values ​​and the second voltage values ​​corresponding to the descending section, and Wj is the jth voltage value in the descending section;

[0035] The second electric shock influence curve is marked and calculated to determine the corresponding second rising segment electric shock coefficient and second falling segment electric shock coefficient.

[0036] Further, when a second analysis is performed on all the first rising segment electric shock coefficients, the first falling segment electric shock coefficients, the second rising segment electric shock coefficients, and the second falling segment electric shock coefficients, and the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value are calculated based on the analysis results, it includes:

[0037] Generate a first coefficient set according to all first rising segment electric shock coefficients;

[0038] Performing a first processing on the first coefficient set based on a preset first processing method to obtain a first processing set;

[0039] Comparing the values ​​of the first processing set to determine a maximum processing value and a minimum processing value;

[0040] Calculating a first standard processing value of the first processing set according to the maximum processing value and the minimum processing value;

[0041] Performing a second processing on the second coefficient set based on a preset second processing method to obtain a second processing set;

[0042] Comparing the values ​​of the second processing set to determine a second maximum processing value and a second minimum processing value;

[0043] Calculating a second standard process value of the second process set according to the second maximum process value and the second minimum process value;

[0044] Extract all first rising segment electric shock coefficients greater than the first standard processing value in the first processing set, extract all first rising segment electric shock coefficients greater than the second standard processing value in the second processing set, and extract the first rising segment electric shock coefficients of the intersection;

[0045] The first descending section electric shock coefficient, the second ascending section electric shock coefficient and the second descending section electric shock coefficient are analyzed respectively to obtain the corresponding intersection first descending section electric shock coefficient, intersection second ascending section electric shock coefficient and intersection second descending section electric shock coefficient;

[0046] The first rising segment analysis value, the first descending segment analysis value, the second rising segment analysis value and the second descending segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first descending segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second descending segment electric shock coefficient of the intersection.

[0047] Further, when the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first falling segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second falling segment electric shock coefficient of the intersection, it includes:

[0048] Calculate the coefficient mean of all intersection first rising section electric shock coefficients, and generate an under-mark for all intersection first rising section electric shock coefficients that are less than the coefficient mean;

[0049] Generate equal marks for all the first rising segment electric shock coefficients of the intersection that are equal to the mean value of the coefficients;

[0050] Generate an over-mark for all intersection first rising segment electric shock coefficients greater than the coefficient mean;

[0051] Calculate the first coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the under-mark, and calculate the second coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the over-mark;

[0052] Count the number of under-marking, equal-marking and over-marking;

[0053] Calculate the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks and the number of over-marks;

[0054] The electric shock coefficient of the first descending segment of the intersection, the electric shock coefficient of the second ascending segment of the intersection and the electric shock coefficient of the second descending segment of the intersection are analyzed and calculated to obtain the corresponding first descending segment analysis value, second ascending segment analysis value and second descending segment analysis value.

[0055] Further, when calculating the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks and the number of over-marks, it includes:

[0056] The first rising segment analysis value is calculated according to the following formula:

[0057]

[0058] Among them, W is the analysis value of the first rising segment, q1 is the first calculation weight, R1 is the first coefficient mean, t1 is the number of under-marking, t2 is the number of equal marking, t3 is the number of over-marking, q2 is the second calculation weight, and R2 is the second coefficient mean.

[0059] Further, when judging whether there is an electric shock risk for the device to be warned based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value, it includes:

[0060] Setting an expansion coefficient for the second ascending segment analysis value and the second descending segment analysis value, and determining an expansion of the second ascending segment analysis value and an expansion of the second descending segment analysis value based on the expansion coefficient;

[0061] When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned;

[0062] When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that the device to be warned has an electric shock risk;

[0063] When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned;

[0064] When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that there is no risk of electric shock for the equipment to be warned.

[0065] Furthermore, when setting the expansion coefficient for the second ascending segment analysis value and the second descending segment analysis value, it includes:

[0066] Determine whether the first electric shock influence curve and the second electric shock influence curve have an intersection, and if not, set the expansion coefficient to 1.2;

[0067] If yes, determine the number of intersections. If the number of intersections is one, obtain the intersection slope of the intersection and use it as the expansion coefficient.

[0068] If the number of intersection points is two or more, the cross slope of each intersection point is obtained respectively, and the variance is calculated and used as the expansion coefficient.

[0069] In order to achieve the above object, the present invention also provides an anti-electric shock warning system based on the Internet of Things, comprising:

[0070] The first module is used to deploy multiple data detection points on the equipment to be warned, collect characteristic data of each data detection point, and determine a first electric shock influence curve and a second electric shock influence curve according to the characteristic data;

[0071] A second module is used to perform a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculate the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculate the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve;

[0072] The third module is used to perform a second analysis on all the first rising segment electric shock coefficients, the first falling segment electric shock coefficients, the second rising segment electric shock coefficients, and the second falling segment electric shock coefficients, and calculate the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results;

[0073] The fourth module is used to determine whether there is an electric shock risk in the equipment to be warned based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value. If so, an anti-electric shock warning is issued.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] Deploy data detection points on the equipment to be warned, collect characteristic data of the data detection points, and determine the first electric shock influence curve and the second electric shock influence curve; calculate the electric shock coefficient of the first rising segment and the electric shock coefficient of the first falling segment of the first electric shock influence curve, and calculate the electric shock coefficient of the second rising segment and the electric shock coefficient of the second falling segment of the second electric shock influence curve; calculate the corresponding first rising segment analysis value, first falling segment analysis value, second rising segment analysis value and second falling segment analysis value; determine whether the equipment to be warned has an electric shock risk, and if so, issue an anti-electric shock warning. This can perform intelligent electric shock analysis on the power plant, issue early warning reminders in real time, remind staff to deal with them in time, improve the safety protection level of the power plant, reduce the incidence of electric shock accidents, and provide strong guarantees for the safe and stable operation of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0077] Figure 1 A schematic diagram of the process of an electric shock prevention warning method based on the Internet of Things in an embodiment of the present invention is shown;

[0078] Figure 2 The schematic diagram of the structure of the electric shock prevention warning system based on the Internet of Things in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0079] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0080] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0081] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0082] In the description of this application, it should be noted that, 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 ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0083] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0084] like Figure 1 As shown, an embodiment of the present invention discloses an anti-electric shock warning method based on the Internet of Things, comprising:

[0085] S110: deploying multiple data detection points on the equipment to be warned, collecting characteristic data of each data detection point, and determining a first electric shock influence curve and a second electric shock influence curve according to the characteristic data;

[0086] In some embodiments of the present application, when collecting characteristic data of each data detection point and determining the first electric shock influence curve and the second electric shock influence curve according to the characteristic data, it includes:

[0087] Detecting a first voltage value of a data detection point, and determining whether the first voltage value is within a preset voltage variation range, and if so, deleting the corresponding data detection point;

[0088] If not, the data detection point is voltage-added based on a preset transformer, and a second voltage value of the data detection point is detected within a preset time period;

[0089] Correcting the voltage variation range according to the preset time period and obtaining a corrected voltage variation range;

[0090] determining whether the second voltage value is within the voltage variation range, and if so, deleting the corresponding data detection point;

[0091] If not, an abnormal code is generated for the corresponding data detection point;

[0092] Analyze the remaining data detection points, and perform curve fitting on all the second voltage values ​​to obtain the second electric shock influence curve;

[0093] The first voltage values ​​and the second voltage values ​​corresponding to all deleted data detection points are extracted, and curve fitting is performed on all first voltage values ​​to obtain the first electric shock influence curve.

[0094] In this embodiment, the voltage value may be detected based on a voltage detection instrument.

[0095] In this embodiment, the voltage variation range is a preset range and can be set according to actual conditions.

[0096] In this embodiment, there are some first voltage values ​​within the preset voltage variation range, therefore, the first electric shock influence curve includes the first voltage value and the second voltage value, the second electric shock influence curve only includes the second voltage value, and both carry abnormal codes.

[0097] The beneficial effect of the above technical solution is that the present invention can lay a foundation for anti-electric shock judgment by obtaining the first electric shock influence curve and the second electric shock influence curve.

[0098] In some embodiments of the present application, when the voltage variation range is corrected according to the preset time period and the corrected voltage variation range is obtained, it includes:

[0099] Extracting the left boundary value and the right boundary value of the voltage variation range;

[0100] The correction factor for the voltage variation range is calculated according to the following formula:

[0101]

[0102] Where h is the correction factor for the voltage variation range, E(e1, e2) 右 is the right boundary value, E(e1, e2) 左 is the left boundary value, T is the preset time period;

[0103] Calculate a first product value of the correction coefficient and the left boundary value and use it as the correction left boundary value;

[0104] Calculate a second product value of the correction coefficient and the right boundary value and use it as the correction right boundary value;

[0105] The corrected voltage variation range is obtained according to the corrected left boundary value and the corrected right boundary value.

[0106] The beneficial effect of the above technical solution is that the present invention can ensure the division accuracy of the voltage value by calculating the correction coefficient and correcting the voltage variation range, thereby accurately fitting the first electric shock influence curve and the second electric shock influence curve.

[0107] S120: performing a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculating a first rising segment electric shock coefficient and a first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating a second rising segment electric shock coefficient and a second falling segment electric shock coefficient of the second electric shock influence curve;

[0108] In some embodiments of the present application, when calculating the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve, it includes:

[0109] Marking the rising segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one rising segment;

[0110] Determine the rising slope of the rising section, and calculate the electric shock coefficient of the first rising section of the rising section according to the following formula:

[0111]

[0112] Wherein, F1 is the electric shock coefficient of the first rising section, k1 is the rising slope of the rising section, n1 is the number of the first voltage value and the second voltage value corresponding to the rising section, n0 is the number of the maximum voltage values ​​among all the first voltage values ​​and the second voltage values ​​corresponding to the rising section, Yi is the i-th voltage value in the rising section, and n is the number of the first voltage value and the second voltage value on the first electric shock influence curve;

[0113] Marking a descending segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one descending segment;

[0114] Determine the descending slope of the descending section, and calculate the electric shock coefficient of the first descending section of the descending section according to the following formula:

[0115]

[0116] Wherein, F2 is the electric shock coefficient of the first descending section, k2 is the descending slope of the descending section, m1 is the number of the first voltage value and the second voltage value corresponding to the descending section, m0 is the number of the minimum voltage value among all the first voltage values ​​and the second voltage values ​​corresponding to the descending section, and Wj is the jth voltage value in the descending section;

[0117] The second electric shock influence curve is marked and calculated to determine the corresponding second rising segment electric shock coefficient and second falling segment electric shock coefficient.

[0118] In this embodiment, the method for determining the slope of the curve is complicated and mature, and will not be introduced in detail here.

[0119] In this embodiment, the marking and calculation method of the second electric shock influence curve are consistent with those of the first electric shock curve, and will not be repeated here.

[0120] The beneficial effect of the above technical solution is: the present invention calculates the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculates the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve, which can provide reliable data support for anti-electric shock judgment, ensure judgment accuracy, and avoid errors.

[0121] S130: performing a second analysis on all first rising segment electric shock coefficients, first falling segment electric shock coefficients, second rising segment electric shock coefficients, and second falling segment electric shock coefficients, and calculating the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results;

[0122] In some embodiments of the present application, when a second analysis is performed on all first rising segment electric shock coefficients, first falling segment electric shock coefficients, second rising segment electric shock coefficients, and second falling segment electric shock coefficients, and the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value are calculated based on the analysis results, including:

[0123] Generate a first coefficient set according to all first rising segment electric shock coefficients;

[0124] Performing a first processing on the first coefficient set based on a preset first processing method to obtain a first processing set;

[0125] Comparing the values ​​of the first processing set to determine a maximum processing value and a minimum processing value;

[0126] Calculating a first standard processing value of the first processing set according to the maximum processing value and the minimum processing value;

[0127] Performing a second processing on the second coefficient set based on a preset second processing method to obtain a second processing set;

[0128] Comparing the values ​​of the second processing set to determine a second maximum processing value and a second minimum processing value;

[0129] Calculating a second standard process value of the second process set according to the second maximum process value and the second minimum process value;

[0130] Extract all first rising segment electric shock coefficients greater than the first standard processing value in the first processing set, extract all first rising segment electric shock coefficients greater than the second standard processing value in the second processing set, and extract the first rising segment electric shock coefficients of the intersection;

[0131] The first descending section electric shock coefficient, the second ascending section electric shock coefficient and the second descending section electric shock coefficient are analyzed respectively to obtain the corresponding intersection first descending section electric shock coefficient, intersection second ascending section electric shock coefficient and intersection second descending section electric shock coefficient;

[0132] The first rising segment analysis value, the first descending segment analysis value, the second rising segment analysis value and the second descending segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first descending segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second descending segment electric shock coefficient of the intersection.

[0133] In this embodiment, the first processing method is normalization processing, and the second processing method is standardization processing.

[0134] In this embodiment, the process of calculating the first standard processing value includes: calculating the sum and difference of the maximum processing value and the minimum processing value, then calculating the second sum of the sum and the difference, and finally dividing the second sum by the number of the first processing set to obtain the first standard processing value.

[0135] In this embodiment, the method for determining the second standard processing value is the same as that for the first standard processing value, and will not be described again.

[0136] In this embodiment, the determination method of the electric shock coefficient of the first descending section of the intersection, the electric shock coefficient of the second ascending section of the intersection and the electric shock coefficient of the second descending section of the intersection is consistent with the electric shock coefficient of the first ascending section of the intersection.

[0137] The beneficial effect of the above technical scheme is: the present invention calculates the first rising segment analysis value, the first descending segment analysis value, the second rising segment analysis value and the second descending segment analysis value according to the electric shock coefficient of the first rising segment of the intersection, the electric shock coefficient of the first descending segment of the intersection, the electric shock coefficient of the second rising segment of the intersection and the electric shock coefficient of the second descending segment of the intersection, further optimizes the judgment process, reduces errors, and at the same time ensures the comprehensiveness of the judgment process and avoids subjectivity.

[0138] In some embodiments of the present application, when the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first falling segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second falling segment electric shock coefficient of the intersection, it includes:

[0139] Calculate the coefficient mean of all intersection first rising section electric shock coefficients, and generate an under-mark for all intersection first rising section electric shock coefficients that are less than the coefficient mean;

[0140] Generate equal marks for all the first rising segment electric shock coefficients of the intersection that are equal to the mean value of the coefficients;

[0141] Generate an over-mark for all intersection first rising segment electric shock coefficients greater than the coefficient mean;

[0142] Calculate the first coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the under-mark, and calculate the second coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the over-mark;

[0143] Count the number of under-marking, equal-marking and over-marking;

[0144] Calculate the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks and the number of over-marks;

[0145] The electric shock coefficient of the first descending segment of the intersection, the electric shock coefficient of the second ascending segment of the intersection and the electric shock coefficient of the second descending segment of the intersection are analyzed and calculated to obtain the corresponding first descending segment analysis value, second ascending segment analysis value and second descending segment analysis value.

[0146] In this embodiment, the first descending segment analysis value, the second ascending segment analysis value and the second descending segment analysis value are consistent with the first ascending segment analysis value, and are not repeatedly introduced.

[0147] In some embodiments of the present application, when calculating the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks, and the number of over-marks, it includes:

[0148] The first rising segment analysis value is calculated according to the following formula:

[0149]

[0150] Among them, W is the analysis value of the first rising segment, q1 is the first calculation weight, R1 is the first coefficient mean, t1 is the number of under-marking, t2 is the number of equal marking, t3 is the number of over-marking, q2 is the second calculation weight, and R2 is the second coefficient mean.

[0151] S140: Based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value, determine whether there is an electric shock risk in the device to be warned, and if so, issue an anti-electric shock warning.

[0152] In some embodiments of the present application, when judging whether there is an electric shock risk in the device to be warned based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value, it includes:

[0153] Setting an expansion coefficient for the second ascending segment analysis value and the second descending segment analysis value, and determining an expansion of the second ascending segment analysis value and an expansion of the second descending segment analysis value based on the expansion coefficient;

[0154] When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned;

[0155] When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that the device to be warned has an electric shock risk;

[0156] When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned;

[0157] When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that there is no risk of electric shock for the equipment to be warned.

[0158] The beneficial effect of the above technical solution is: the present invention realizes accurate judgment of anti-electric shock warning, issues early warning reminders in real time, reminds staff to deal with it in time, improves the safety protection level of the power plant, reduces the incidence of electric shock accidents, and provides strong guarantee for the safe and stable operation of the power plant.

[0159] In some embodiments of the present application, when setting the expansion coefficient for the second ascending segment analysis value and the second descending segment analysis value, it includes:

[0160] Determine whether the first electric shock influence curve and the second electric shock influence curve have an intersection, and if not, set the expansion coefficient to 1.2;

[0161] If yes, determine the number of intersections. If the number of intersections is one, obtain the intersection slope of the intersection and use it as the expansion coefficient.

[0162] If the number of intersection points is two or more, the cross slope of each intersection point is obtained respectively, and the variance is calculated and used as the expansion coefficient.

[0163] The beneficial effect of the above technical solution is that the present invention can accurately set the expansion coefficient, thereby ensuring the accuracy of the anti-electric shock judgment and achieving accurate judgment.

[0164] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0165] Correspondingly, such as Figure 2 As shown, the present application also provides an anti-electric shock warning system based on the Internet of Things, including:

[0166] The first module is used to deploy multiple data detection points on the equipment to be warned, collect characteristic data of each data detection point, and determine a first electric shock influence curve and a second electric shock influence curve according to the characteristic data;

[0167] A second module is used to perform a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculate the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculate the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve;

[0168] The third module is used to perform a second analysis on all the first rising segment electric shock coefficients, the first falling segment electric shock coefficients, the second rising segment electric shock coefficients, and the second falling segment electric shock coefficients, and calculate the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results;

[0169] The fourth module is used to determine whether there is an electric shock risk in the equipment to be warned based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value. If so, an anti-electric shock warning is issued.

[0170] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0171] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0172] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. 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. An anti-electric shock warning method based on the Internet of Things, characterized in that: include: Deploy multiple data detection points on the equipment to be warned, collect characteristic data of each data detection point, and determine a first electric shock influence curve and a second electric shock influence curve according to the characteristic data; Performing a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculating a first rising segment electric shock coefficient and a first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating a second rising segment electric shock coefficient and a second falling segment electric shock coefficient of the second electric shock influence curve; Perform a second analysis on all first rising segment electric shock coefficients, first falling segment electric shock coefficients, second rising segment electric shock coefficients, and second falling segment electric shock coefficients, and calculate the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results; Based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value, it is judged whether the equipment to be warned has an electric shock risk, and if so, an anti-electric shock warning is issued.

2. The method for preventing electric shock based on the Internet of Things according to claim 1 is characterized in that: When collecting characteristic data of each data detection point and determining a first electric shock influence curve and a second electric shock influence curve according to the characteristic data, the method includes: Detecting a first voltage value of a data detection point, and determining whether the first voltage value is within a preset voltage variation range, and if so, deleting the corresponding data detection point; If not, the data detection point is voltage-added based on a preset transformer, and a second voltage value of the data detection point is detected within a preset time period; Correcting the voltage variation range according to the preset time period and obtaining a corrected voltage variation range; determining whether the second voltage value is within the voltage variation range, and if so, deleting the corresponding data detection point; If not, an abnormal code is generated for the corresponding data detection point; Analyze the remaining data detection points, and perform curve fitting on all the second voltage values ​​to obtain the second electric shock influence curve; The first voltage values ​​and the second voltage values ​​corresponding to all deleted data detection points are extracted, and curve fitting is performed on all first voltage values ​​to obtain the first electric shock influence curve.

3. The method for preventing electric shock based on the Internet of Things according to claim 2 is characterized in that: When the voltage variation range is corrected according to the preset time period and a corrected voltage variation range is obtained, the method includes: Extracting the left boundary value and the right boundary value of the voltage variation range; The correction factor for the voltage variation range is calculated according to the following formula: Where h is the correction factor for the voltage variation range, E(e1, e2) 右 is the right boundary value, E(e1, e2) 左 is the left boundary value, T is the preset time period; Calculate a first product value of the correction coefficient and the left boundary value and use it as the correction left boundary value; Calculate a second product value of the correction coefficient and the right boundary value and use it as the correction right boundary value; The corrected voltage variation range is obtained according to the corrected left boundary value and the corrected right boundary value.

4. The method for preventing electric shock based on the Internet of Things according to claim 2, characterized in that: When calculating the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculating the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve, the method includes: Marking the rising segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one rising segment; Determine the rising slope of the rising section, and calculate the electric shock coefficient of the first rising section of the rising section according to the following formula: Wherein, F1 is the electric shock coefficient of the first rising section, k1 is the rising slope of the rising section, n1 is the number of the first voltage value and the second voltage value corresponding to the rising section, n0 is the number of the maximum voltage values ​​among all the first voltage values ​​and the second voltage values ​​corresponding to the rising section, Yi is the i-th voltage value in the rising section, and n is the number of the first voltage value and the second voltage value on the first electric shock influence curve; Marking a descending segment of the first electric shock influence curve, and extracting all first voltage values ​​and second voltage values ​​corresponding to one descending segment; Determine the descending slope of the descending section, and calculate the electric shock coefficient of the first descending section of the descending section according to the following formula: Wherein, F2 is the electric shock coefficient of the first descending section, k2 is the descending slope of the descending section, m1 is the number of the first voltage value and the second voltage value corresponding to the descending section, m0 is the number of the minimum voltage value among all the first voltage values ​​and the second voltage values ​​corresponding to the descending section, and Wj is the jth voltage value in the descending section; The second electric shock influence curve is marked and calculated to determine the corresponding second rising segment electric shock coefficient and second falling segment electric shock coefficient.

5. The method for preventing electric shock based on the Internet of Things according to claim 4 is characterized in that: When a second analysis is performed on all first rising segment electric shock coefficients, first falling segment electric shock coefficients, second rising segment electric shock coefficients, and second falling segment electric shock coefficients, and the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value are calculated based on the analysis results, including: Generate a first coefficient set according to all first rising segment electric shock coefficients; Performing a first processing on the first coefficient set based on a preset first processing method to obtain a first processing set; Comparing the values ​​of the first processing set to determine a maximum processing value and a minimum processing value; Calculating a first standard processing value of the first processing set according to the maximum processing value and the minimum processing value; Performing a second processing on the second coefficient set based on a preset second processing method to obtain a second processing set; Comparing the values ​​of the second processing set to determine a second maximum processing value and a second minimum processing value; Calculating a second standard process value of the second process set according to the second maximum process value and the second minimum process value; Extract all first rising segment electric shock coefficients greater than the first standard processing value in the first processing set, extract all first rising segment electric shock coefficients greater than the second standard processing value in the second processing set, and extract the first rising segment electric shock coefficients of the intersection; The first descending section electric shock coefficient, the second ascending section electric shock coefficient and the second descending section electric shock coefficient are analyzed respectively to obtain the corresponding intersection first descending section electric shock coefficient, intersection second ascending section electric shock coefficient and intersection second descending section electric shock coefficient; The first rising segment analysis value, the first descending segment analysis value, the second rising segment analysis value and the second descending segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first descending segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second descending segment electric shock coefficient of the intersection.

6. The method for preventing electric shock based on the Internet of Things according to claim 5, characterized in that: When the first rising segment analysis value, the first descending segment analysis value, the second rising segment analysis value and the second descending segment analysis value are calculated according to the first rising segment electric shock coefficient of the intersection, the first descending segment electric shock coefficient of the intersection, the second rising segment electric shock coefficient of the intersection and the second descending segment electric shock coefficient of the intersection, it includes: Calculate the coefficient mean of all intersection first rising section electric shock coefficients, and generate an under-mark for all intersection first rising section electric shock coefficients that are less than the coefficient mean; Generate equal marks for all the first rising segment electric shock coefficients of the intersection that are equal to the mean value of the coefficients; Generate an over-mark for all intersection first rising segment electric shock coefficients greater than the coefficient mean; Calculate the first coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the under-mark, and calculate the second coefficient mean of the electric shock coefficient of the first rising segment of the intersection carrying the over-mark; Count the number of under-marking, equal-marking and over-marking; Calculate the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks and the number of over-marks; The electric shock coefficient of the first descending segment of the intersection, the electric shock coefficient of the second ascending segment of the intersection and the electric shock coefficient of the second descending segment of the intersection are analyzed and calculated to obtain the corresponding first descending segment analysis value, second ascending segment analysis value and second descending segment analysis value.

7. The method for preventing electric shock based on the Internet of Things according to claim 6, characterized in that: When calculating the first rising segment analysis value according to the first coefficient mean, the second coefficient mean, the number of under-marks, the number of equal-marks, and the number of over-marks, it includes: The first rising segment analysis value is calculated according to the following formula: Among them, W is the analysis value of the first rising segment, q1 is the first calculation weight, R1 is the first coefficient mean, t1 is the number of under-marking, t2 is the number of equal marking, t3 is the number of over-marking, q2 is the second calculation weight, and R2 is the second coefficient mean.

8. The method for preventing electric shock based on the Internet of Things according to claim 1, characterized in that: When judging whether the device to be warned has an electric shock risk based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value, the method includes: Setting an expansion coefficient for the second ascending segment analysis value and the second descending segment analysis value, and determining an expansion of the second ascending segment analysis value and an expansion of the second descending segment analysis value based on the expansion coefficient; When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned; When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that the device to be warned has an electric shock risk; When the first rising segment analysis value is not equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is equal to the enlarged second descending segment analysis value, it is determined that there is no electric shock risk for the equipment to be warned; When the first rising segment analysis value is equal to the enlarged second rising segment analysis value, and the first descending segment analysis value is not equal to the enlarged second descending segment analysis value, it is determined that there is no risk of electric shock for the equipment to be warned.

9. The method for preventing electric shock based on the Internet of Things according to claim 8, characterized in that: When the expansion coefficient is set for the second ascending segment analysis value and the second descending segment analysis value, it includes: Determine whether the first electric shock influence curve and the second electric shock influence curve have an intersection, and if not, set the expansion coefficient to 1.2; If yes, determine the number of intersections. If the number of intersections is one, obtain the intersection slope of the intersection and use it as the expansion coefficient. If the number of intersection points is two or more, the cross slope of each intersection point is obtained respectively, and the variance is calculated and used as the expansion coefficient.

10. An anti-electric shock warning system based on the Internet of Things, characterized in that: include: The first module is used to deploy multiple data detection points on the equipment to be warned, collect characteristic data of each data detection point, and determine a first electric shock influence curve and a second electric shock influence curve according to the characteristic data; A second module is used to perform a first analysis on the first electric shock influence curve and the second electric shock influence curve, and calculate the first rising segment electric shock coefficient and the first falling segment electric shock coefficient of the first electric shock influence curve based on the first analysis result, and calculate the second rising segment electric shock coefficient and the second falling segment electric shock coefficient of the second electric shock influence curve; The third module is used to perform a second analysis on all the first rising segment electric shock coefficients, the first falling segment electric shock coefficients, the second rising segment electric shock coefficients, and the second falling segment electric shock coefficients, and calculate the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value, and the second falling segment analysis value based on the analysis results; The fourth module is used to determine whether there is an electric shock risk in the equipment to be warned based on the first rising segment analysis value, the first falling segment analysis value, the second rising segment analysis value and the second falling segment analysis value. If so, an anti-electric shock warning is issued.

Images