Wire and cable fatigue detection system
By marking the response points of the machine vision equipment and performing data clustering analysis, and combining surface comparison to identify bending characteristics, the problem of incomplete cable testing standards in the existing technology is solved, comprehensive fatigue detection of different cables is achieved, and detection is improved Effect.
Patent Information
- Application Number
- CN202411169102.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-23
- Publication Date
- 2024-12-13
AI Technical Summary
The existing cable fatigue detection technology has incomplete coverage of cable testing standards of different specifications and sizes, and it is impossible to promptly identify the failure of cables in certain areas, resulting in incomplete fatigue testing results.
Machine vision equipment is used to monitor the cable surface image, mark equidistant response points, perform data clustering analysis through the changes in the corresponding point length, lock the abnormal cable segment, and identify the bending characteristics through surface comparison, evaluate whether the bending profile meets the standards, and build radius changes. The radiation circle recognizes the density proportion and generates abnormal signals.
It realizes wider coverage detection of different cables, quickly locks abnormal cable segments, improves the comprehensiveness and accuracy of fatigue detection, and achieves better detection results.
Smart Images

Figure CN119130949A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of cable fatigue detection, and in particular to a wire and cable fatigue detection system. Background Art
[0002] Before conducting a cable fatigue test, the specifications and dimensions of the cable must be clearly defined; cables of different specifications and dimensions may have different test methods and equipment requirements; therefore, the specifications and dimensions of the test cable should be determined first so that appropriate test methods and equipment can be selected based on this information.
[0003] The application with publication number CN116818510A discloses a wire and cable fatigue detection system, which relates to the field of wire and cable detection technology. The wire and cable fatigue detection system includes a state detection module, the sending end of the state detection module is connected to the receiving end of the control module, the sending end of the control module is connected to the receiving end of the acquisition module, the sending end of the acquisition module is connected to the receiving end of the data processing module, and the sending end of the acquisition module is connected to the receiving end of the state detection module and the control module respectively through the emergency response module. By collecting multiple wire and cable detection data, and then processing and analyzing the collected data, and also by implanting the wire and cable use environment data, the safety of use and the remaining service life of the wire and cable can be accurately evaluated, the waste of the wire and cable during use can be reduced, and the safety of the wire and cable during use can be improved.
[0004] For the relevant detection of fatigue of wires and cables, the corresponding stretching equipment is generally used to stretch the cables to identify whether the cables meet the tensile performance standards. However, the original fatigue test method, firstly, there are corresponding test standards for different cables, and its coverage is not comprehensive. Secondly, when the cable is subjected to length stretching detection, fatigue assessment is only based on the overall stretching length of the cable. However, the non-compliance of the length of certain areas cannot be identified in time, and a more comprehensive fatigue test effect cannot be achieved. Summary of the invention
[0005] In view of the deficiencies in the prior art, the present invention provides a wire and cable fatigue detection system, which solves the problem that there are corresponding test standards for different cables but their coverage is not comprehensive.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a wire and cable fatigue detection system, comprising:
[0007] On the machine vision side, visual monitoring is performed on cables that require fatigue testing;
[0008] The point marking end confirms the initial image of the cable before the tensile test, and based on the confirmed initial image of the cable, marks the equally spaced points at the specified positions in the cable. The specific method is as follows:
[0009] Based on the confirmed initial image of the cable, identifying the initial length of the cable to be inspected;
[0010] Based on the identified initial length, the length is divided into a number of cable segments of equal length, and based on the dividing points between each cable segment, the cable segments are marked at designated positions on the cable surface, and a number of equally spaced response points are determined;
[0011] The response point data analysis end confirms the final image of the cable after the stretching test, determines the length values between adjacent response points from the final image of the cable, and then identifies the change values between adjacent response points based on the original length values between adjacent response points. Numerical clustering analysis is performed on several change values, and the relevant cable segments with abnormal changes are locked and marked as abnormal stretching segments. The specific method is as follows:
[0012] Based on the original marked points on the cable surface, determine the equidistant length L between each point i , where i represents different cable segments, and then confirm the stretch length LS between adjacent points after the stretch test i , using BH i =LS i -L i Confirm the change value BH between adjacent response points i ;
[0013] Set several groups of changing values BH i Sort by small to large, confirm the change value sorting set, reduce the first value of the change value sorting set to 0, and perform synchronous changes in the change value sorting set according to the reduction standard of the first value, to obtain the change value sorting set after all changes are processed;
[0014] The first value of the sorted set of change values is taken as the origin of the two-dimensional coordinate system, and the subsequent change values are arbitrarily calibrated in the two-dimensional coordinate system, and the straight-line distance between the calibrated point and the origin is the corresponding change value;
[0015] Based on the calibrated origin, a set of radiating circles with varying radii are constructed, so that the radius of the radiating circle gradually changes from 0. During the changing process, the number of calibrated points contained in the radiating circle is confirmed in real time. Based on each different changing process, the circle area M of the corresponding radiating circle is confirmed. k , where k represents different change processes and is based on the number of calibration points G contained in the corresponding radiation circle. k , using MD k =Gk ÷M k Confirm its point density MD k , the point density MD that is gradually generated k Compare with the preset value Y1:
[0016] If MD k ≤Y1, then the subsequent point density MD k Confirm one by one until MD k >Y1, stop, and MD will be satisfied k The point density of >Y1 is calibrated as abnormal density, and several groups of point density at the front of abnormal density are calibrated as similar characteristic density, the radiation circles associated with similar characteristic density are calibrated as similar characteristic circles, the calibration points that do not belong to the similar characteristic circles are marked as abnormal points, and the cable segments corresponding to the abnormal points are calibrated as abnormal stretching segments;
[0017] If MD k >Y1, directly generate stretch detection abnormal signal through the signal end, and directly display it in the corresponding external display end;
[0018] At the surface comparison end, the curved surface generated after the abnormal stretching section is inspected is compared with the set standard surface to identify whether the curved surface generated during the inspection process is correctly inspected. The specific method is as follows:
[0019] Compare the determined curved surface with the preset standard curved surface. The area parameter of the standard curved surface is 1. Divide the curved surface into several equal parts with an area of 1. The unit of area is mm. 2 ;
[0020] Each equally divided surface is compared with the standard curved surface in turn to identify whether the surface areas of the two are consistent. If each equally divided surface is consistent, it means that the curved surface detection is correct. If there are inconsistent equally divided surfaces, it means that the curved surface detection is incorrect.
[0021] The surface data verification end, for the relevant curved surface that has been detected correctly, obtains the top-view curved surface of the cable segment corresponding to the curved surface based on the corresponding machine vision end, identifies the curved contour of the top-view curved surface, and then analyzes and processes the curved contour to confirm whether the cable segment is abnormally bent; the specific method is:
[0022] Based on the determined top-view curved surface, identifying the outermost edge curved contour of the cable segment;
[0023] Confirm the center point of the cable segment and construct a set of perpendicular lines perpendicular to the center point, which intersect with the outermost edge curved contour line and record the intersection point;
[0024] From the outermost edge curved contour line, identify the contour segment on one side of the intersection, connect different contour points in this contour segment with this center point, determine the point connection line, and based on the determined vertical line, mirror the point connection line, identify the intersection of this point connection line and the contour segment on the other side after the mirror processing, determine the connection line of this intersection and the center point, mark this connection line as the mirror connection line of this point connection line, if there is no intersection between this point connection line and the contour segment on the other side after the mirror processing, then extend this point connection line to determine the intersection with the contour segment on the other side;
[0025] Based on the confirmed point connections and mirror connections, the line length difference Cz between the point connection and the corresponding mirror connection is identified, and then the identified groups of line length difference Cz are summed to determine the total evaluation value ZP;
[0026] The determined total evaluation value ZP is compared with the preset value Y2. When ZP>Y2, a bending test abnormal signal is generated through the signal end and displayed on the external display end; when ZP≤Y2, a test normal signal is generated through the signal end.
[0027] The present invention provides a wire and cable fatigue detection system. Compared with the prior art, it has the following advantages:
[0028] Beneficial effects:
[0029] The present invention obtains the surface image of the corresponding cable based on a machine vision device, and then determines the relevant response points based on the specific length of the corresponding cable. In the subsequent stretching detection process, the length change between the corresponding relevant response points is confirmed, the length difference between adjacent response points is locked, and then data clustering is performed on several groups of length differences. Based on the corresponding two-dimensional coordinate system, the corresponding relevant calibration points are selected, and the density ratio of the corresponding calibration points in the circle is identified by constructing a radiating circle with a changing radius to identify the calibration points with a large difference in values, so as to quickly lock the corresponding abnormal cable segment. This data identification method can quickly detect the abnormal cable segment, and simultaneously for different cables, the corresponding abnormal cable segment can also be determined based on its corresponding numerical characteristics. Its detection coverage is wider, and a better fatigue detection effect can be achieved.
[0030] For the relevant cables with abnormal cable segments, surface analysis is performed on the abnormal cable segments, the curved surface associated with the abnormal cable segment is locked, and based on the curved contour characteristics of the curved surface, the line length difference between its mirror image lines is identified, and then the generated several groups of line length differences are numerically summed and analyzed to assess whether the curved contour of the curved surface meets the test standards. The analysis and processing method here makes fatigue detection more comprehensive and achieves better fatigue detection effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1It is a schematic diagram of the principle framework of the present invention;
[0032] Figure 2 This is a schematic diagram of the calibration point processing of the present invention. DETAILED DESCRIPTION
[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0034] Example 1
[0035] See also Figure 1 , the present application provides a wire and cable fatigue detection system, including two groups of detection stages, namely a stretching detection stage and a bending detection stage, wherein the execution end of the stretching detection stage includes a response point marking end, a machine vision end and a response point data analysis end, wherein the machine vision end is electrically connected to the response point marking end or the response point data analysis end input node, and the response point marking end is electrically connected to the response point data analysis end input node, wherein the response point data analysis end is electrically connected to the signal end input node;
[0036] The bending detection stage includes a surface comparison end and a surface data verification end, wherein the surface comparison end input node is electrically connected to the surface data verification end input node, and the surface data verification end is electrically connected to the signal end input node;
[0037] Among them, the machine vision end performs visual monitoring on the cables that need to be tested for fatigue, and transmits the real-time monitored cable visual images to the corresponding point marking end or the corresponding point data analysis end;
[0038] The point marking end is to confirm the initial image of the cable before the tensile test (this confirmation process is performed by the operator because the cable needs to be in a tight and straight state), and based on the confirmed initial image of the cable, mark the points at equal distances at the specified positions in the cable. The specific method of marking is as follows:
[0039] Based on the confirmed initial image of the cable, identifying the initial length of the cable to be inspected;
[0040] Based on the identified initial length, the length is divided into a number of cable segments of equal length, and based on the dividing points between each cable segment, the cable segments are marked at designated positions on the cable surface, and a number of equally spaced response points are determined;
[0041] Specifically, the initial length of the cable segment is the length parameter L of the cable segment in a tight and straight state. Based on this length parameter L, it can be divided into corresponding cable segments of equal length. The dividing point between each cable segment is the corresponding equal division point. The reason for confirming the corresponding points is to identify the changes between the lengths of the corresponding points to determine whether the stretched length of the cable meets the standard.
[0042] Among them, the response point data analysis end confirms the final image of the cable after the stretching test (this confirmation process is confirmed by the operator, so the engraved cable belongs to the state after the stretching test), determines the length value between adjacent response points from the final image of the cable, and then identifies the change value between the adjacent response points based on the original length value between adjacent response points, performs numerical clustering analysis on several change values, and locks the relevant cable segments with abnormal changes. The specific method of locking is:
[0043] Based on the original marked points on the cable surface, determine the equidistant length L between each point i , where i represents different cable segments, and then confirm the stretch length LS between adjacent points after the stretch test i , using BH i =LS i -L i Confirm the change value BH between adjacent response points i ;
[0044] Set several groups of changing values BH i Sort from small to large, confirm the change value sorting set, reduce the first value of the change value sorting set to 0, and perform synchronous changes in the change value sorting set according to the reduction standard of the first value to obtain the change value sorting set after all changes are processed. For example, the change value sorting set is {1, 1.1, 1.2, 1.4, 1.5, 1.6, 1.7, 1.8, 2.0}. After reducing the corresponding first value to 0, the other values will change synchronously to obtain the change value sorting set of synchronous changes {0, 0.1, 0.2, 0.4, 0.5, 0.6, 0.7, 0.8, 1}, all of which are geometrically decreased to confirm the change value sorting set after the decrease processing;
[0045] Combination Figure 2 , take the first value of the change value sorting set as the origin of the two-dimensional coordinate system, and then arbitrarily mark the subsequent change values in the two-dimensional coordinate system. The straight-line distance between the marked point and the origin is the corresponding change value. For example: the second set of change values in the change value sorting set is 0.1, and the straight-line distance between it and the origin 0 is 0.1. The relevant points can be arbitrarily determined on the circumference of a circle with a radius of 0.1;
[0046] Based on the calibrated origin, a set of radiating circles with varying radii are constructed, so that the radius of the radiating circle gradually changes from 0. During the changing process, the number of calibrated points contained in the radiating circle is confirmed in real time. Based on each different changing process, the circle area M of the corresponding radiating circle is confirmed. k , where k represents different change processes and is based on the number of calibration points G contained in the corresponding radiation circle. k , using MD k =G k ÷M k Confirm its point density MD k , the point density MD that is gradually generated k Compare with the preset value Y1:
[0047] If MD k ≤Y1, then the subsequent point density MD k Confirm one by one until MD k >Y1, stop, and MD will be satisfied k The point density of >Y1 is calibrated as abnormal density, and the point density of several groups at the front end of the abnormal density is calibrated as the same type of characteristic density, the radiation circle associated with the same type of characteristic density is calibrated as the same type of characteristic circle, the calibration point that does not belong to the same type of characteristic circle is marked as an abnormal point, and the cable segment corresponding to the abnormal point is calibrated as an abnormal stretching segment. The specific value of Y1 is determined by the operator based on experience. Based on the circle point density analysis method, the relevant change differences between the circle point densities can be fully identified. If the difference is large, it means that the subsequent cable segment change characteristics are greatly different from the previous group of change characteristics. Then the length of the cable segment corresponding to such points during the stretching process is compared with the length of other cable segments. The difference is also large, then the corresponding cable segment belongs to the corresponding abnormal segment, and it needs to be calibrated. For such abnormal segments, the second stage of bending detection is carried out to identify whether such abnormal segments can meet the detection standards when fully detected;
[0048] If MD k >Y1 (that is, the density of the first group of points generated is greater than Y1), a stretch detection abnormality signal is directly generated through the signal end and displayed directly on the corresponding external display end, indicating that the stretching length characteristics between the lowest cable segment and the second lowest cable segment are quite different. In this case, there is a corresponding stretching abnormality in the stretching detection process. When the cable is undergoing stretching detection, either there is an abnormality in the stretch locking point or there is an abnormality in the cable itself. The internal fatigue resistance test does not meet the standard and can be displayed directly through the corresponding signal end.
[0049] Example 2
[0050] Compared with the above-mentioned embodiment, the embodiment 1 is different from the embodiment 1 in that the embodiment is mainly aimed at the bending detection of the abnormal stretching section during the specific implementation process;
[0051] Among them, the surface comparison end performs surface detection on the abnormal stretching section, so that the abnormal stretching section is subjected to surface stretching, and the bending surface after stretching is monitored and manually determined based on the machine vision end, and the determined bending surface is transmitted to the surface comparison end (during the bending detection, the bending force and the bending numerical distance are all prepared in advance by the operator, so that the corresponding abnormal stretching section is subjected to surface bending processing);
[0052] The curved surface comparison end compares the confirmed curved surface with the set standard curved surface to identify whether the curved surface generated during the detection process is detected correctly. The specific method of identification is as follows:
[0053] Compare the determined curved surface with the preset standard curved surface. The area parameter of the standard curved surface is 1. Divide the curved surface into several equal parts with an area of 1. The unit of area is mm. 2 ;
[0054] Each equally divided surface is compared with the standard curved surface in turn to identify whether the surface areas of the two are consistent. If each equally divided surface is consistent, it means that the detection of this curved surface is correct. If there is an inconsistent equally divided surface, it means that the detection of this curved surface is incorrect (specifically, this type of detection process represents that the surface features of the curved surface are almost consistent, in order to identify whether the curved surface has cracks or cracks after the bending process, so as to identify whether its abnormal stretching section can meet the test standard during the bending fatigue test). Since the method of comparing two surfaces is relatively common in the prior art, it will not be described in detail here;
[0055] The curved surface data checking end, for the correctly detected relevant curved surface, obtains the top-view curved surface of the cable segment corresponding to the curved surface based on the corresponding machine vision end, identifies the curved contour of the top-view curved surface, and then analyzes and processes the curved contour to confirm whether the cable segment is abnormally bent. The specific method of confirming is:
[0056] Based on the determined top-view curved surface, identifying the outermost edge curved contour of the cable segment;
[0057] Confirm the center point of the cable segment and construct a set of perpendicular lines perpendicular to the center point, which intersect with the outermost edge curved contour line and record the intersection point;
[0058] From the outermost edge curved contour line, identify the contour segment on one side of the intersection, connect different contour points in this contour segment with this center point, determine the point connection line, and based on the determined vertical line, mirror the point connection line, identify the intersection of this point connection line and the contour segment on the other side after the mirror processing, determine the connection line of this intersection and the center point, mark this connection line as the mirror connection line of this point connection line, if there is no intersection between this point connection line and the contour segment on the other side after the mirror processing, then extend this point connection line to determine the intersection with the contour segment on the other side;
[0059] Based on the confirmed point connections and mirror connections, the line length difference Cz between the point connection and the corresponding mirror connection is identified, and then the identified groups of line length difference Cz are summed to determine the total evaluation value ZP;
[0060] The determined total evaluation value ZP is compared with the preset value Y2, wherein the specific value of Y2 is determined by the operator based on experience. When ZP>Y2, a bending test abnormality signal is generated through the signal terminal and displayed in the external display terminal. When ZP≤Y2, a test normal signal is generated through the signal terminal.
[0061] Specifically, after the bending surface is formed, its edge contour corresponds to different contour points. Since there is a corresponding bending stress point and the bending stress point is generally the center point of the corresponding cable segment, there are several mirror points on both sides of the center point. The line connecting each mirror point and the center point has a corresponding mirror-related line. If the line length difference generated between each mirror-related county is almost 0, it means that the cable segment has a better detection effect during bending detection, and the corresponding cable has a better test effect during fatigue resistance test.
[0062] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.
[0063] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. A wire and cable fatigue detection system, characterized in that: include: On the machine vision side, visual monitoring is performed on cables that require fatigue testing; The point marking end confirms the initial image of the cable before the tensile test, and based on the confirmed initial image of the cable, marks the equally spaced points at the specified positions in the cable; The response point data analysis end confirms the final image of the cable after the stretching test, determines the length values between adjacent response points from the final image of the cable, and then identifies the change values between adjacent response points based on the original length values between adjacent response points. Numerical clustering analysis is performed on several change values, and the relevant cable segments with abnormal changes are locked and marked as abnormal stretching segments. At the curved surface comparison end, the curved surface generated after the abnormal stretching section is inspected is compared with the set standard curved surface to identify whether the curved surface generated during the inspection process is correctly inspected; The surface data verification end, for the relevant curved surface that has been detected correctly, obtains the top-view curved surface of the cable segment corresponding to this curved surface based on the corresponding machine vision end, identifies the curved contour of the top-view curved surface, and then analyzes and processes the curved contour to confirm whether the cable segment is abnormally bent.
2. A wire and cable fatigue detection system according to claim 1, characterized in that: The specific method of equidistantly marking the corresponding points at the corresponding point marking end is as follows: Based on the confirmed initial image of the cable, identifying the initial length of the cable to be inspected; Based on the identified initial length, it is divided into several cable segments of equal length. Based on the equal division points between each cable segment, it is marked at the specified position on the cable surface to determine several equidistant response points.
3. A wire and cable fatigue detection system according to claim 1, characterized in that: The specific method of the response point data analysis end to lock the relevant cable segment with abnormal changes is: Based on the original marked points on the cable surface, determine the equidistant length L between each point i , where i represents different cable segments, and then confirm the stretch length LS between adjacent points after the stretch test i , using BH i =LS i -L i Confirm the change value BH between adjacent response points i ; Set several groups of changing values BH i Sort by small to large, confirm the change value sorting set, reduce the first value of the change value sorting set to 0, and perform synchronous changes in the change value sorting set according to the reduction standard of the first value, to obtain the change value sorting set after all changes are processed; The first value of the sorted set of change values is taken as the origin of the two-dimensional coordinate system, and the subsequent change values are arbitrarily calibrated in the two-dimensional coordinate system, and the straight-line distance between the calibrated point and the origin is the corresponding change value; Based on the calibrated origin, a set of radiating circles with varying radii are constructed, so that the radius of the radiating circle gradually changes from 0. During the changing process, the number of calibrated points contained in the radiating circle is confirmed in real time. Based on each different changing process, the circle area M of the corresponding radiating circle is confirmed. k , where k represents different change processes and is based on the number of calibration points G contained in the corresponding radiation circle. k , using MD k =G k ÷M k Confirm its point density MD k , the point density MD that is gradually generated k Compare with the preset value Y1: If MD k ≤Y1, then the subsequent point density MD k Confirm one by one until MD k >Y1, stop, and MD will be satisfied k The point density of >Y1 is calibrated as abnormal density, and several groups of point density at the front end of the abnormal density are calibrated as similar characteristic density, the radiation circles associated with the similar characteristic density are calibrated as similar characteristic circles, the calibration points that do not belong to the similar characteristic circles are marked as abnormal points, and the cable segments corresponding to the abnormal points are calibrated as abnormal stretching segments.
4. A wire and cable fatigue detection system according to claim 3, characterized in that: If MD k >Y1, a stretch detection abnormal signal is directly generated through the signal terminal and directly displayed in the corresponding external display terminal.
5. A wire and cable fatigue detection system according to claim 1, characterized in that: The specific method of the curved surface analysis end for identifying whether the curved surface is correctly detected is: Compare the determined curved surface with the preset standard curved surface. The area parameter of the standard curved surface is 1. Divide the curved surface into several equal parts with an area of 1. The unit of area is mm. 2 ; Each equally divided surface is compared with the standard curved surface in turn to identify whether the surface areas of the two are consistent. If each equally divided surface is consistent, it means that the curved surface detection is correct. If there are inconsistent equally divided surfaces, it means that the curved surface detection is incorrect.
6. A wire and cable fatigue detection system according to claim 5, characterized in that: The specific method for the curved surface data checking end to confirm whether the cable segment is abnormally bent is as follows: Based on the determined top-view curved surface, identifying the outermost edge curved contour of the cable segment; Confirm the center point of the cable segment and construct a set of perpendicular lines perpendicular to the center point, which intersect with the outermost edge curved contour line and record the intersection point; From the outermost edge curved contour line, identify the contour segment on one side of the intersection, connect different contour points in this contour segment with this center point, determine the point connection line, and based on the determined vertical line, mirror the point connection line, identify the intersection of this point connection line and the contour segment on the other side after the mirror processing, determine the connection line of this intersection and the center point, mark this connection line as the mirror connection line of this point connection line, if there is no intersection between this point connection line and the contour segment on the other side after the mirror processing, then extend this point connection line to determine the intersection with the contour segment on the other side; Based on the confirmed point connections and mirror connections, the line length difference Cz between the point connection and the corresponding mirror connection is identified, and then the identified groups of line length difference Cz are summed to determine the total evaluation value ZP; The determined total evaluation value ZP is compared with the preset value Y2. When ZP>Y2, a bending test abnormality signal is generated through the signal terminal and displayed in the external display terminal.
7. A wire and cable fatigue detection system according to claim 6, characterized in that: When ZP≤Y2, a test normal signal is generated through the signal terminal.
