Method and system for determining static quality evaluation indexes of rail transit contact network

Abstract

The present invention discloses a method and system for determining static quality evaluation indicators of a rail transit contact network, comprising the following steps: selecting parameters for selecting data of parameter components required for calculating static quality evaluation of the contact network from detection parameters of the contact network; calculating component values, calculating the values ​​of each component for the data of each component; weight allocation, assigning corresponding weights to each component, and the sum of the weights of each component is equal to 1; determining the quality, after adding the products of each component value multiplied by the corresponding weight, the sum is the value of the static quality index CQI of the contact network. The present invention has the following functions and effects: it can identify local defects; it can perform quantitative evaluation of the quality of in-service equipment in sections; it can guide the formulation or optimization of equipment maintenance strategies and the reasonable allocation of maintenance resources. It can provide technical support for contact network status maintenance, and can help infrastructure managers formulate maintenance strategies and allocate maintenance resources, which is conducive to saving maintenance and repair costs.

Description

Technical Field

[0001] The present invention relates to an overhead contact network technology for an urban rail transit power supply system, and in particular to a method and system for determining a static quality evaluation index (CQI) of an overhead contact network for rail transit. Background Art

[0002] The existing urban rail transit power supply system contact network equipment parameter threshold management method can evaluate the equipment status through national standards, but it can only perform local diagnosis, cannot evaluate the overall operating status of the equipment, and cannot provide a quantitative description of the equipment status.

[0003] The railway power supply system equipment quality evaluation method can achieve a quantitative description of the equipment status, but its evaluation criteria are subjective and cannot achieve a fair and impartial evaluation of the equipment status.

[0004] In this regard, the prior art CN201911306113 discloses a multivariate statistical evaluation method for the state of the contact network. First, the number of geometric parameters of the contact network to be evaluated is determined, and then the detection data subgroup vector within a span and the detection parameter state matrix within the span are determined, and then the overall mean of the span detection parameters and the Ti2 statistic of each span within the span and the covariance matrix S are calculated; then the size of the confidence α is determined, and the upper limit Ucl of the state value is determined according to the F distribution; finally, the state statistics graph is drawn, and the upper limit of the statistic is drawn on the graph with a straight line parallel to the horizontal axis. According to the drawn graph, it is judged whether there are points in the statistical value that exceed the upper limit. If there are points, the state is judged to be abnormal, and the abnormal group is analyzed to find the cause of the abnormality; if not, it means that the contact network state is normal. However, the implementation process of this method is too complicated, and the sensor system and computing equipment of the equipment are required to be high.

[0005] Prior art CN201811214532 discloses a method and device for determining the quality of a contact network section, wherein the method includes: selecting mutually independent parameters from the detection parameters of the contact network; taking the anchor section of the contact network as the basic unit, for each basic unit, calculating the static quality index of the contact network and the bow-net operation quality index according to the selected parameters, wherein the static quality index of the contact network characterizes the static characteristics of the contact network, and the bow-net operation quality index characterizes the dynamic operation quality of the contact network. The parameters used in this method are only three parameters: the pull-out value component, the contact line height component, and the relative height component of the positioning point. The accuracy of the static quality index of the contact network obtained by the final calculation is not enough, and it cannot fully reflect the true level of static quality.

[0006] To this end, the present invention proposes a new method and system for determining the static quality evaluation index (CQI) of rail transit contact network, which can identify local defects and conduct quantitative evaluation of the quality of service equipment in sections, and is conducive to guiding the formulation or optimization of equipment maintenance strategies and the rational allocation of maintenance resources. Summary of the invention

[0007] In view of the problems existing in the prior art, the purpose of the present invention is to provide a method and system for determining the static quality evaluation index (CQI) of the rail transit contact network, which can provide a more accurate evaluation of the real static quality of the contact network, and at the same time can identify local defects and perform section quantitative evaluation of the quality of service equipment.

[0008] To achieve the above object, the present invention provides a method for determining static quality evaluation indexes of a rail transit contact network, comprising the following steps:

[0009] Selecting parameters, used to select data of parameter components required for calculating static quality evaluation of the contact network from the detection parameters of the contact network;

[0010] Calculate component values, and calculate the values ​​of each component for the data of each component;

[0011] Weight allocation, assign corresponding weights to each component, and the sum of the weights of each component is equal to 1;

[0012] To determine the quality, the sum of the products of each component value multiplied by the corresponding weight is the value of the contact network static quality index CQI, wherein the contact network static quality index CQI characterizes the static characteristics of the contact network; the static quality level of the contact network is determined according to the value of the contact network static quality index CQI.

[0013] Furthermore, the data of the parameter components required for calculating the static quality evaluation of the contact network include four parameter components, namely, the pull-out value deviation value CQI S , guide high deviation value CQI H , adjacent positioning point guide height smoothness CQI D and high smoothness CQI Hσ .

[0014] Furthermore, weights are assigned to each component, and the deviation value CQI is S Assign a weight of 0.17 to guide the high deviation value CQI H Assign a weight of 0.17 to guide the smoothness CQI of adjacent positioning points D Assign a weight of 0.33 to the high smoothness CQI of the span Hσ Assign a weight of 0.33.

[0015] Further, for the pull-out value deviation component CQI SThe calculation method is to calculate the average of all the pull-out values ​​of the positioning points in the statistical evaluation unit that exceed the allowable error range, that is, the ratio of the sum of the differences between the pull-out values ​​of all the positioning points that exceed the error range and △S to the number of spans, and substitute it into the following formula 2 to derive the CQI S ; The specific calculation formula is:

[0016] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0017] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0018] ——Smi: is the pull-out value measured on site at the ith positioning point in the evaluation unit;

[0019] ——Sti: the design pull-out value of the ith positioning point in the evaluation unit;

[0020] ——Sti: the design pull-out value of the ith positioning point in the evaluation unit;

[0021] ——△S: The allowable error of the pull-out value;

[0022] ——Sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

[0023] Furthermore, for the height deviation component CQI H The calculation method is to statistically evaluate the average value of the height of all positioning points that exceed the allowable error range in the evaluation unit, that is, the ratio of the sum of the difference between the height of all positioning points that exceed the error range and Δh to the number of spans, and substitute it into the following formula 3 to derive the CQI H , the specific calculation formula is:

[0024]

[0025] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0026] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0027] ——Smi: the measured height of the ith positioning point in the evaluation unit;

[0028] ——Sti: the design height of the ith positioning point in the evaluation unit;

[0029] ——Δh: allowable error of the positioning point height guidance construction;

[0030] ——Sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

[0031] Furthermore, for adjacent positioning points, the smoothness CQI D The calculation method is to calculate the average vertical distance between the middle positioning point and the connecting line of the adjacent positioning points on both sides in the statistical evaluation unit, and then substitute it into formula 4 to derive the CQI D , the specific calculation formula is:

[0032]

[0033] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0034] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0035] ——h i : is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the i-1th positioning point and the i+1th positioning point.

[0036] Furthermore, for the high smoothness CQI of the transverse Hσ The calculation method is to use the average vertical distance between the middle measurement point and the average value of the span height guide in the statistical evaluation unit, and substitute it into Formula 5 to derive the CQI Hσ , the specific calculation formula is:

[0037]

[0038] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0039] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0040] ——j: is the position identification of the measurement points in each span within the evaluation unit, and the first measurement point in the equivalent span is numbered 1;

[0041] ——k: the number of measurement points in each span within the evaluation unit;

[0042] ——H i-j : is the contact line height at the jth measuring point in the i-th span within the evaluation unit;

[0043] ——H mi : is the average conductance height within the i-th span in the evaluation unit;

[0044] ——h i: is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the (i-1)th positioning point and the (i+1)th positioning point.

[0045] Furthermore, when the value of the contact network static quality index CQI is less than or equal to the CQI standard value, the equipment status is evaluated as excellent or good; when the value of the contact network static quality index CQI is greater than the CQI standard value, the equipment status is evaluated as poor; the CQI standard value adopts the calculation method of "national standard + enterprise standard" to determine the CQI evaluation standards for rigid suspension and flexible suspension, respectively: rigid suspension: 0~3-excellent, 3~6-good, 6~∞-poor; flexible suspension: 0~21-excellent, 21~32-good, 32~∞-poor.

[0046] On the other hand, the present invention further provides a system for determining a static quality evaluation index of a rail transit contact network, which is used to implement a method for determining a static quality evaluation index of a rail transit contact network according to the present invention, and the system comprises:

[0047] A parameter selection module, used for selecting data of parameter components required for calculating static quality evaluation of the contact network from detection parameters of the contact network;

[0048] A component value calculation module calculates the value of each component based on the data of each component;

[0049] The weight distribution module assigns corresponding weights to each component, and the sum of the weights of each component is equal to 1;

[0050] The quality determination module adds the products of each component value multiplied by the corresponding weight, and the sum is the value of the contact network static quality index CQI, wherein the contact network static quality index CQI characterizes the static characteristics of the contact network; the contact network static quality level is determined according to the value of the contact network static quality index CQI.

[0051] Furthermore, when the value of the contact network static quality index CQI is less than or equal to the CQI standard value, the equipment status is evaluated as excellent or good; when the value of the contact network static quality index CQI is greater than the CQI standard value, the equipment status is evaluated as poor; among them, the CQI standard value is calculated based on the enterprise standard and the national standard, and is calculated as follows according to the difference between rigid suspension and flexible suspension:

[0052] The calculation of the standard value of rigid suspension includes:

[0053] 1) Rigid suspension pull-out value deviation component CQI S The standard value calculation includes the following steps:

[0054] S101. Determine that the error between the enterprise standard and the national standard is ±10mm, that is, △S=10;

[0055] S102. Equipment is in excellent / good condition, then: Lim(S mi ) → S ti ±10mm;

[0056] S103.|Lim(S mi )-S ti |-ΔS→|(S ti ±10mm)-S ti |-ΔS; we get: |Lim(S mi )-S ti |-ΔS<0;

[0057] S104. mi )-S ti Substituting |-ΔS into Formula 2, we get: CQI S (Excellent / good rigidity) = 0;

[0058] 2) Rigid suspension height deviation component CQI H The standard value calculation includes the following steps:

[0059] S201. The allowable error of the enterprise standard is ±2mm, that is, △h=2; the allowable error of the national standard is ±5mm;

[0060] S202. If the equipment is in excellent condition, then: Lim(H mi )→Hti±2mm;

[0061] If the equipment is in good condition, then: Lim(H mi )→Hti±5mm;

[0062] S203. Equipment in good condition:

[0063] |Lim(H mi )-H ti |-Δh→|(H ti ±2mm)-H ti |-Δh gives: |Lim(H mi )-H ti |-Δh<0;

[0064] Equipment in good condition:

[0065] |Lim(H mi )-H ti |-Δh→|(H ti ±5mm)-H ti |-Δh gives: |Lim(H mi )-H ti |-Δh<3;

[0066] S204.mi )-H ti Substituting |-Δh into formula 3, we get:

[0067] CQI H (Excellent rigidity) = 0, CQI H (good rigidity) = 3;

[0068] 3) The calculation of the CQID standard value of the height guide smoothness of adjacent positioning points of the rigid suspension includes the following steps:

[0069] S301. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm;

[0070] S302. If the equipment is in excellent condition, then: Lim(D i )→(H ti +△h)-(H ti -△h)=4mm;

[0071] If the equipment is in good condition, then: Lim(D i )→(H ti +5)-(H ti -5)=10mm;

[0072] S303. Substitute into formula 4,

[0073] S304. Result: CQI D (Excellent rigidity) = 4, CQI S (good rigidity) = 10;

[0074] 4) Rigid suspension with high smoothness CQI Hσ The standard value calculation includes the following steps:

[0075] S401. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm;

[0076] S402. Select the intermediate measurement point that is close to the positioning point, then Lim(H mi )→H ti ,

[0077] Equipment in excellent condition: Lim(H i-j )→H ti ±2; Equipment in good condition: Lim(H i-j )→H ti ±5;

[0078] S403. Equipment is in excellent condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|Hti ±2|-H ti =2;

[0079] If the equipment is in good condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|H ti ±2|-H ti =5;

[0080] S404. Simplified formula

[0081] S405. Result: CQI Hσ (Excellent rigidity) = 2, CQI Hσ (good rigidity) = 5;

[0082] The derivation process of flexible suspension is the same as that of rigid suspension.

[0083] The method and system for determining the static quality evaluation index CQI of the contact network according to the present invention have the following functions and effects: local defects can be identified; the quality of the in-service equipment can be quantitatively evaluated in sections; and equipment maintenance strategies can be formulated or optimized, and maintenance resources can be reasonably allocated. Technical support can be provided for the state maintenance of the contact network, and infrastructure managers can be helped to formulate maintenance strategies and allocate maintenance resources, which is conducive to saving maintenance and repair costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 A schematic diagram of the index value calculation principle of a preferred embodiment of a method and system for determining static quality evaluation indexes of a rail transit contact network according to the present invention;

[0085] Figure 2 The CQI component is a CQI component according to a preferred embodiment of the present invention. S Schematic diagram of the calculation of the evaluation unit;

[0086] Figure 3 is the guide height deviation component CQI according to the preferred embodiment of the present invention H Schematic diagram of the calculation of the evaluation unit;

[0087] Figure 4 To guide the smoothness CQI of the adjacent positioning points according to the preferred embodiment of the present invention D Schematic diagram of the calculation of the evaluation unit;

[0088] Figure 5 The high smoothness CQI of the transverse conductor according to the preferred embodiment of the present invention Hσ Schematic diagram of the calculation of the evaluation unit;

[0089] Figure 6A schematic diagram showing comparison of evaluation criteria according to a preferred embodiment of the present invention;

[0090] Figure 7 A schematic diagram of an evaluation grade standard according to a preferred embodiment of the present invention;

[0091] Figure 8 It is a schematic diagram of an excellent limit case of the height guiding smoothness of adjacent positioning points according to a preferred embodiment of the present invention;

[0092] Fig. 9 It is a schematic diagram of a good limit condition of the height guiding smoothness of adjacent positioning points according to a preferred embodiment of the present invention;

[0093] Fig.10 It is a schematic diagram of an excellent limit case of high smoothness of the inner-span guide according to a preferred embodiment of the present invention;

[0094] Fig.11 It is a schematic diagram of a good limit condition of the inner-span high smoothness according to a preferred embodiment of the present invention;

[0095] Fig.12 A device status evaluation logic diagram according to a preferred embodiment of the present invention;

[0096] Fig.13 This is a diagram to simulate and analyze the dynamic process of the pantograph passing through the rigid contact network. DETAILED DESCRIPTION

[0097] The invention of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0098] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0099] In the description of the present invention, 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 the present invention can be understood according to specific circumstances.

[0100] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0101] According to the attached Figure 1-13 , the present invention describes in detail the preferred embodiments of the method and system for determining the static quality evaluation index of the contact network (Catenary Static Quality Index, referred to as CQI evaluation index). The CQI evaluation index comprehensively considers all technical parameters that affect the state of the contact network for evaluation, and is an index that characterizes the degree to which the static geometric position of the contact network structure space deviates from the design. The contact network static quality index CQI specifically characterizes the deviation distance between the static position of the contact network and the target position. When the CQI is 0, it means that the static position of the contact network is completely consistent with the target position; that is, the contact network static quality index is a distance equivalent.

[0102] The method for determining the static quality evaluation index of the contact network according to the present invention comprises the following steps:

[0103] Selecting parameters, used to select data of parameter components required for calculating static quality evaluation of the contact network from the detection parameters of the contact network;

[0104] Calculate component values, and calculate the values ​​of each component for the data of each component;

[0105] Weight allocation, assign corresponding weights to each component, and the sum of the weights of each component is equal to 1;

[0106] To determine the quality, the sum of the products of each component value multiplied by the corresponding weight is the value of the contact network static quality index CQI, wherein the contact network static quality index CQI characterizes the static characteristics of the contact network; the static quality level of the contact network is determined according to the value of the contact network static quality index CQI.

[0107] After analysis and statistics, the method and system for determining the static quality evaluation index (CQI) of the rail transit contact network adopted by the present invention covers a total of 4 parameter components, namely (component 1) pull-out value deviation value CQI S , (Component 2) High deviation CQIH 、(Component 3) Adjacent positioning point high smoothness CQI D 、(Component 4) Trans-internal high smoothness CQI Hσ .

[0108] Among them, the present invention particularly uses component 4 "transverse high smoothness CQI Hσ ” for calculation.

[0109] Since the overhead contact network equipment of urban rail transit power supply system is quite different from that of railway, the underground section of urban rail transit main line mostly adopts overhead rigid overhead contact network. Therefore, in order to evaluate the equipment status more fairly, this technical indicator introduces the fourth calculation parameter "span inner conductor height smoothness CQI" in combination with the actual status of urban rail transit overhead contact network equipment. Hσ ”.

[0110] The “CQI (Critical Quality Index)” is introduced for the evaluation index of overhead rigid contact network equipment. Hσ ” Parameter technical analysis:

[0111] Overhead rigid contact network adopts the form of "busbar + contact wire + overhead ground wire", which has many advantages such as simple equipment structure, no tension, high construction and ease of maintenance, convenient maintenance, and small space occupation. However, it also has the negative effects of equipment inelasticity, serious impact on the pantograph-net relationship, and serious wear of the contact wire and pantograph.

[0112] After long-term operation, the contact wire of rigid contact network equipment has many local abnormal wear and arcing phenomena. The rigid contact network busbar mid-span joint is prone to sagging, such as Fig.13 As shown in A in the middle, the smoothness of the inner span conductor is poor, which leads to abnormal wear of the equipment and arcing. Fig.13 As shown in B in the middle, the dynamic process of the pantograph passing through the rigid contact network is simulated and analyzed: 1. When the electric car passes through this place at high speed, the contact height here is reduced, causing the pantograph-net contact pressure to increase suddenly, thereby aggravating the local abnormal wear of the contact line and pantograph; 2. When the electric car leaves the middle joint at high speed, the change in the conductor height increases the offline rate of the pantograph-net, and arcing and sparking are very likely to occur.

[0113] Through the above analysis, it is concluded that "the high smoothness CQI Hσ "The component is one of the key factors affecting the state of rigid contact network equipment. Similarly, this component will also affect the state of flexible contact network equipment. Therefore, the present invention introduces the "span inner conductor height smoothness CQI" for the indicators used Hσ "Parameters are calculated and the final result of the equipment evaluation index CQI is finally obtained.

[0114] The CQI evaluation index in the present invention is intended to comprehensively consider all technical parameters that affect the state of the contact network, so as to make the calculation result more objective and fair, and fully and truly reflect the overall performance state of the contact network equipment, rather than one-sidedly expressing the unilateral performance state of the equipment.

[0115] Since the excessive deviation of the contact network pull-out value and the height of the guide will affect the performance of the pantograph, after analysis, this technical indicator includes the pull-out value deviation value CQI. S , guide high deviation value CQI H , adjacent positioning point guide height smoothness CQI D In addition to the three technical parameters, it also includes the high smoothness CQI of the crossover Hσ The technical parameters cover a total of 4 parameter components. After a comprehensive evaluation of these four parameters, the CQI result of the contact network static equipment evaluation index is finally obtained, which is more objective and fair.

[0116] Among them, each component is assigned a weight, and the weight calculation method of each component is as follows:

[0117] Since each parameter has different influence on the state of the overhead line equipment, in order to ensure the credibility of the final result of the evaluation index, the calculation weight of each parameter should also be determined according to the severity of the impact on the equipment. Therefore, it is necessary to calculate the applicability of each parameter weight.

[0118] In order to improve the fairness of weighting of each CQI parameter, the weight determination is divided into 6 steps, namely parameter selection - weighting method selection - parameter impact level determination - calculation model establishment - field verification - final weighting.

[0119] The specific calculation process is as follows:

[0120] ①Parameter selection:

[0121] According to the above analysis, there are four components that affect the state of the overhead line equipment, namely, the pull-out value, deviation value, CQI S , guide high deviation value CQI H , adjacent positioning point guide height smoothness CQI D , high smoothness CQI Hσ .

[0122] ②Selection of weighting method:

[0123] According to the different sources of the original data when calculating the weights, the commonly used weighting methods can be divided into three categories: subjective assignment method, objective assignment method, and subjective and objective comprehensive assignment method. The subjective and objective comprehensive assignment method considers the relationship between data and expert experience at the same time, and generally uses multiplication or linear comprehensive method to combine subjective and objective assignment methods.

[0124] Therefore, in order to ensure the rationality of the weight distribution of each parameter, this evaluation index adopts the subjective and objective comprehensive weighting method.

[0125] ③ Determination of parameter impact level

[0126] Because the combined assignment method needs to perform linear calculations based on the quantitative values ​​of the impact of each parameter on the equipment, and ultimately determine the weight of each parameter.

[0127] To facilitate calculation, it is necessary to quantify the degree of influence of each parameter on the equipment status. According to the analysis of long-term equipment operation data, the influence level is divided into two levels: 50% and 100%. The final influence level of each parameter is determined as follows:

[0128]

[0129] ④Establish a computational model

[0130] Construct the judgment matrix. In step ③, the influence level of each parameter has been determined. Compare the influence levels of the four parameters with each other, and then determine the weight of each parameter according to the linear algebra weight vector calculation principle. The specific calculation process is as follows:

[0131] Matrix model determination:

[0132]

[0133] Among them, a1n represents the ratio of the influence level of the first element to the nth element, that is, a1n=a1 / an. Similarly, a11=a1 / a1, a12=a1 / a2, a21=a2 / a1,…, ann=an / an.

[0134] Therefore, the calculation matrix model of the weight vector of each parameter of this technical indicator is derived:

[0135]

[0136] Through vector calculation, it is found that the weights of each parameter are W1=0.17, W2=0.17, W3=0.33, and W4=0.33.

[0137] ⑤ On-site verification

[0138] After the fourth analysis, the calculation weights of each parameter are preliminarily obtained. To ensure the applicability, a corresponding number of devices are selected on the operating lines for applicability evaluation tests. If the evaluation judges that the applicability is low, it is necessary to return to step ③ and recalculate. If the evaluation judges that the applicability is high, the final weighting of the parameters can be carried out to determine the calculation formula.

[0139] The test results show that the CQI index is basically in line with the on-site equipment installation status. The index level is basically consistent with the smoothness trend of the anchor section, and basically corresponds to the wear condition of the rigid anchor section, which can reflect the basic status level of the equipment to a high degree.

[0140] ⑥ Final empowerment

[0141] Through the "theory + practice" measurement and evaluation process from step 1 to step 5, the final weight of each parameter is determined, and the final calculation formula of CQI is determined as follows:

[0142] CQI = 0.17*CQI S +0.17*CQI H +0.33*CQI D +0.33*CQI Hσ

[0143] The CQI evaluation index in the present invention aims to comprehensively consider all technical parameters that affect the state of the contact network. However, through analysis, it is found that each parameter has a different degree of influence on the equipment state. Therefore, it is necessary to assign different weights to each parameter according to the different degrees of influence of each parameter to ensure the authenticity and reliability of the final CQI value for the evaluation results of the overall equipment state.

[0144] At present, the commonly used weighting methods mainly include subjective weighting method, objective weighting method and subjective and objective comprehensive weighting method. The subjective weighting method is used to determine the weight coefficients between various indicators, which reflects the intention of the decision maker, but the decision or evaluation results have a great deal of subjective arbitrariness. While the objective weighting method is used to determine the weight coefficients between various indicators, although the decision or evaluation results have a strong mathematical theoretical basis, they do not take into account the intention of the decision maker. Therefore, both subjective and objective weighting methods have certain limitations. In view of the respective advantages and disadvantages of subjective and objective weighting methods, in order to take into account the decision maker's preference for attributes, while striving to reduce the subjective arbitrariness of weighting, the weighting of attributes can achieve the unity of subjectivity and objectivity, thereby making the decision results more real and reliable.

[0145] Therefore, the present invention adopts a subjective and objective comprehensive weighting method for calculation. This method embodies the idea of ​​system analysis, which not only makes the weighting results have a mathematical theoretical basis, but also takes into account the wishes of decision makers, so that the technical indicator evaluation results can express the equipment status more scientifically and accurately.

[0146] Specifically, see Figure 1 In this preferred embodiment, the deviation value CQI of (component 1) is pulled out S Assign weight 0.17, (component 2) guide high deviation value CQI H Assign weight 0.17, (component 3) adjacent positioning point guide height smoothness CQI D Assign weight 0.33, (component 4) high smoothness CQI of the trans-inner guide Hσ Assign a weight of 0.33.

[0147] Each component value is multiplied by the corresponding weight and then added up. The sum of each component is the CQI evaluation index. That is, CQI = 0.17CQI s +0.17CQIh +0.33CQI d +0.33CQI Hσ .

[0148] The method for calculating each parameter component of CQI in the present invention is as follows:

[0149] The core idea of ​​the CQI evaluation index is to use mathematical statistical methods to calculate the degree to which each parameter deviates from the design value. Therefore, the degree of deviation of each CQI parameter from the design value (i.e., the degree of dispersion) can be statistically analyzed by analogy with the reference standard variance formula (calculating the degree of dispersion of each parameter from the average value).

[0150] The calculation principle formula of each CQI parameter is derived by analogy with the variance formula:

[0151] CQIs(CQI H or CQI D or

[0152] ——i: It is the pillar and cross-marker of each parameter in the evaluation unit;

[0153] ——Xi: actual on-site measurement values ​​of each parameter in the evaluation unit;

[0154] ——μ: is the design value of each parameter in the evaluation unit;

[0155] ——n: is the span number of each parameter in the evaluation unit.

[0156] Among them, for the pull value deviation component CQI S The calculation formula is described as follows.

[0157] like Figure 2 An evaluation unit is shown, the black dots represent positioning points, the black broken lines represent the measured pull-out values, the gray straight lines represent the designed pull-out values, and the gray range represents the allowable error of the pull-out values.

[0158] In the present invention, the CQI component of the pull-out value deviation is S The calculation method is to statistically calculate the average value of all the pull-out values ​​of the positioning points in the evaluation unit that exceed the allowable error (enterprise standard) range, that is, the ratio of the sum of the differences between the pull-out values ​​of all the positioning points marked with circles that exceed the error range and △S to the number of spans, and substitute it into formula 1 to derive CQI S The specific calculation formula is:

[0159]

[0160] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0161] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0162] ——Smi: is the pull-out value measured on site at the ith positioning point in the evaluation unit;

[0163] ——Sti: the design pull-out value of the ith positioning point in the evaluation unit;

[0164] ——Sti: the design pull-out value of the ith positioning point in the evaluation unit;

[0165] ——△S: The allowable error of the pull-out value;

[0166] ——Sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

[0167] Among them, for the high deviation component CQI H The calculation formula is as follows:

[0168] like Figure 3 An evaluation unit is shown. The black dots represent the positioning points, the black broken lines represent the actual height guide, the horizontal straight line represents the designed height guide, and the gray range represents the allowable error of the height guide.

[0169] In the present invention, the CQI component of the guide height deviation is H The calculation principle is to statistically evaluate the average value of all the positioning point heights that exceed the allowable error (enterprise standard) range in the evaluation unit, that is, the ratio of the sum of the differences between the positioning point heights and Δh that exceed the error range marked by circles in the figure to the number of spans, and then substitute it into formula 1 to derive the CQI. H The specific calculation formula is:

[0170]

[0171] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0172] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0173] ——Smi: the measured height of the ith positioning point in the evaluation unit;

[0174] ——Sti: the design height of the ith positioning point in the evaluation unit;

[0175] ——Δh: allowable error of the positioning point height guidance construction;

[0176] ——Sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

[0177] Among them, for adjacent positioning points, the smoothness CQI D The calculation formula is as follows:

[0178] like Figure 4 It shows an evaluation unit. The black dots represent the positioning points, the black broken lines represent the actual height guides, the dotted lines represent the height guides connecting the positioning points of two spans apart, and the vertical solid lines represent the vertical distance between the height guides of the middle positioning point and the connecting line of the adjacent positioning points.

[0179] The present invention guides the smoothness CQI of adjacent positioning points D The calculation principle is to calculate the average vertical distance between the middle positioning point and the connecting line of the adjacent positioning points on both sides within the statistical evaluation unit (i.e. Figure 4 Medium 01 ~h i-1 The ratio of the sum of the spans in the evaluation unit to the number of spans in the evaluation unit is substituted into Formula 1 to derive the CQI D The specific calculation formula is:

[0180]

[0181] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0182] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0183] ——h i : is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the (i-1)th positioning point and the (i+1)th positioning point.

[0184] Among them, for the high smoothness CQI of the transverse Hσ The calculation formula is as follows:

[0185] like Figure 5 The figure shows an evaluation unit. The black circle represents the point positioning point, the gray dot represents the middle measuring point in the span, the broken line represents the actual height guide, the dotted line represents the average height guide in the span, and the vertical solid line represents the distance between the height guide of the middle measuring point and the average height guide in the span (the number of middle measuring points is selected according to needs).

[0186] In the present invention, for the high smoothness CQI of the transverse conductor Hσ The calculation principle is to use the mean vertical distance between the middle measuring point and the average value of the span height within the statistical evaluation unit (i.e. Figure 5 Medium 1-1 ~h i-2 The ratio of the sum to the number of spans in the evaluation unit is substituted into Formula 1 to derive the CQI Hσ The specific calculation formula is:

[0187]

[0188] ——i: It is the pillar and span identifier within the evaluation unit, and the first pillar is numbered 0;

[0189] ——n: It is the number of spans in the evaluation unit, and the first span is numbered 1;

[0190] ——j: is the position identification of the measurement points in each span within the evaluation unit, and the first measurement point in the equivalent span is numbered 1;

[0191] ——k: the number of measurement points in each span within the evaluation unit;

[0192] ——H i-j : is the contact line height at the jth measuring point in the i-th span within the evaluation unit;

[0193] ——H mi : is the average conductance height within the i-th span in the evaluation unit.

[0194] ——h i : is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the (i-1)th positioning point and the (i+1)th positioning point.

[0195] In the calculation of the above CQI evaluation index standard value, the CQI evaluation logic is as follows:

[0196] The CQI evaluation index is a quantitative description of the degree of deviation of the static parameters of the in-service equipment from the design. The lower the CQI value, the less the deviation, and the better the equipment status. Therefore, it is necessary to set evaluation criteria to determine the equipment status.

[0197] like Figure 6 As shown, when the CQI value of the on-site device is less than or equal to the CQI standard value, the device status is evaluated as excellent or good; when the CQI value of the on-site device is greater than the CQI standard value, the device status is evaluated as poor.

[0198] At present, in order to improve the performance of equipment operation, the power supply department has formulated enterprise standards based on national standards. Therefore, when calculating the CQI standard value of the operating line applicable to the present invention, it is necessary to calculate based on the enterprise standard and national standard. The calculation logic is as follows: Figure 7 As shown:

[0199] Comparison table between enterprise standards and national standards:

[0200]

[0201] Secondly, for the calculation process of the standard values ​​of each component of CQI, the calculations are as follows based on the differences between rigid suspension and flexible suspension:

[0202] 1. Calculation of rigid suspension standard value

[0203] 1) Pull out the value deviation component CQI S Standard value calculation

[0204] The rigid suspension derivation process is as follows:

[0205] S101. Determine that the error between the enterprise standard and the national standard is ±10mm, that is, △S=10;

[0206] S102. Equipment is in excellent / good condition, then: Lim(S mi ) → S ti ±10mm;

[0207] S103.|Lim(S mi )-S ti |-ΔS→|(S ti ±10mm)-S ti |-ΔS; we get: |Lim(S mi )-S ti |-ΔS<0;

[0208] S104. mi )-S ti Substituting |-ΔS into Formula 2, we get: CQI S (Excellent / good rigidity) = 0;

[0209] 2) CQI of the high deviation component H Standard value calculation

[0210] The rigid suspension derivation process is as follows:

[0211] S201. The allowable error of the enterprise standard is ±2mm, that is, △h=2; the allowable error of the national standard is ±5mm;

[0212] S202. If the equipment is in excellent condition, then: Lim(H mi )→Hti±2mm;

[0213] If the equipment is in good condition, then: Lim(H mi )→Hti±5mm;

[0214] S203. Equipment in good condition:

[0215] |Lim(H mi )-H ti |-Δh→|(H ti ±2mm)-H ti |-Δh gives: |Lim(H mi )-H ti |-Δh<0;

[0216] Equipment in good condition:

[0217] |Lim(H mi )-H ti |-Δh→|(H ti ±5mm)-H ti |-Δh gives: |Lim(H mi )-H ti |-Δh<3;

[0218] S204. mi )-H ti Substituting |-Δh into formula 3, we get:

[0219] CQI H (Excellent rigidity) = 0, CQI H (good rigidity) = 3;

[0220] 3) Calculation of the CQID standard value of the smoothness of adjacent positioning points

[0221] Two extreme cases of excellent and good static parameters of the equipment need to be considered:

[0222] like Figure 8 The figure shows the excellent limit of the smoothness of the adjacent positioning points, and the errors are all within the enterprise standard range; Fig. 9 The figure shows the good limit case of smoothness of the adjacent positioning points, and the errors are all within the national standard range.

[0223] The rigid suspension derivation process is as follows:

[0224] S301. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm;

[0225] S302. If the equipment is in excellent condition, then: Lim(D i )→(H ti +△h)-(H ti -△h)=4mm;

[0226] If the equipment is in good condition, then: Lim(D i )→(H ti +5)-(H ti -5)=10mm;

[0227] S303. Substitute into formula 4,

[0228] S304. Result: CQI D (Excellent rigidity) = 4, CQI S (good rigidity) = 10;

[0229] 4) High smoothness CQI of the cross-inner guideHσ Standard value calculation

[0230] It is necessary to consider two extreme cases of excellent and good static parameters of the equipment. The intermediate measurement point is selected as close to the positioning point as possible, at which point the indicator will reach a critical value.

[0231] like Fig.10 The figure shows the excellent limit of the smoothness of the inner span guide, and the error is within the enterprise standard range; Fig.11 The figure shows the good limit case of the inner-span guide height smoothness, and the errors are all within the national standard range.

[0232] The rigid suspension derivation process is as follows:

[0233] S401. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm;

[0234] S402. Select the intermediate measurement point that is close to the positioning point, then Lim(H mi )→H ti ,

[0235] Equipment in excellent condition: Lim(H i-j )→H ti ±2; Equipment in good condition: Lim(H i-j )→H ti ±5;

[0236] S403. Equipment is in excellent condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|H ti ±2|-H ti =2;

[0237] If the equipment is in good condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|H ti ±2|-H ti =5;

[0238] S404. Simplified formula

[0239] S405. Result: CQI Hσ (Excellent rigidity) = 2, CQI Hσ (Good rigidity) = 5

[0240] The standard value of flexible suspension is calculated as follows:

[0241] The derivation process of flexible suspension is the same as that of rigid suspension, and the derivation standard values ​​are as follows:

[0242] CQI S (Excellent) = 0; CQI S (good)=0.

[0243] CQI H (Excellent) = 0; CQI H (Good)=10.

[0244] CQI H (Excellent) = 40; CQI H (Good)=60.

[0245] CQI Hσ (Excellent) = 20; CQI Hσ (Good)=30.

[0246] Finally, the CQI standard values ​​of each parameter are calculated. Considering that the measurement is only the result obtained under ideal conditions, in order to avoid deviations caused by external factors (such as instrument error, human error, etc.), the evaluation standard values ​​need to be adjusted, as shown in the following table.

[0247]

[0248] The standard value of the static quality evaluation index CQI of the contact network equipment according to the present invention adopts the calculation method of "national standard + enterprise standard". The CQI evaluation standard is finally determined as follows: rigid suspension: 0-3-excellent, 3-6-good, 6-∞-poor; flexible suspension: 0-21-excellent, 21-32-good, 32-∞-poor.

[0249] Based on the same inventive concept, an embodiment of the present invention also provides a contact network static quality determination system, as described in the following embodiments. Since the principle of solving the problem by the contact network static quality determination system is similar to that of the contact network static quality determination method, the implementation of the contact network static quality determination system can refer to the implementation of the contact network static quality determination method, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0250] The system for determining the static quality evaluation index (CQI) of the rail transit contact network according to the present invention comprises:

[0251] A parameter selection module is used to select required parameters from the detection parameters of the contact network;

[0252] The quality determination module is used to calculate the static quality index of the contact network based on the selected parameters for each basic unit with the anchor section of the contact network as the basic unit, wherein the static quality index of the contact network represents the static characteristics of the contact network.

[0253] The method and system for determining the static quality evaluation index CQI of the contact network according to the present invention have the following functions and effects: local defects can be identified; the quality of the in-service equipment can be quantitatively evaluated in sections; and equipment maintenance strategies can be formulated or optimized, and maintenance resources can be reasonably allocated. Technical support can be provided for the state maintenance of the contact network, and infrastructure managers can be helped to formulate maintenance strategies and allocate maintenance resources, which is conducive to saving maintenance and repair costs.

[0254] The key technologies of the present invention are: (1) while realizing the local defect diagnosis of the contact network equipment, it realizes the quantitative evaluation description of the equipment status; (2) referring to the "national standard + enterprise standard", combining with the actual situation of the contact network equipment, calculating and determining the standard value of the contact network equipment static quality evaluation index CQI, refining the standard value, and dividing the equipment status evaluation into three levels: "excellent", "good" and "poor".

[0255] Obviously, those skilled in the art should understand that the modules or steps of the above-mentioned embodiments of the present invention can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The above-mentioned embodiments are only illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with this technology can modify or change the above-mentioned embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the relevant technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A method for determining static quality evaluation indicators of rail transit contact network, characterized in that: The following steps are involved: Selecting parameters, used to select data of parameter components required for calculating static quality evaluation of the contact network from among the detection parameters of the contact network; Calculate component values, and calculate the values ​​of each component for the data of each component; Weight allocation, assign corresponding weights to each component, and the sum of the weights of each component is equal to 1; Determine the quality, after adding the products of each component value multiplied by the corresponding weight, the sum is the value of the contact network static quality index CQI, wherein the contact network static quality index CQI represents the static characteristics of the contact network; determine the contact network static quality level according to the value of the contact network static quality index CQI; The data of the parameter components required for calculating the static quality evaluation of the contact network include four parameter components, namely, the pull-out value, the deviation value, the CQI S , guide high deviation value CQI H , adjacent positioning point guide height smoothness CQI D and high smoothness CQI Hσ ; For the pull-out value deviation component CQI S The calculation method is to calculate the average of all the positioning point pull-out values ​​in the statistical evaluation unit that exceed the allowable error range, that is, the ratio of the sum of the differences between the pull-out values ​​of all positioning points that exceed the error range and △S to the number of spans, and substitute it into the following formula 2 to derive the CQI S ; The specific calculation formula is: Where i: is the pillar and span identifier within the evaluation unit, the first pillar is numbered 0; n: is the number of spans in the evaluation unit, the first span is numbered 1; Smi: is the pull-out value measured on site at the ith positioning point in the evaluation unit; Sti: is the design pull-out value of the ith positioning point in the evaluation unit; Sti: is the design pull-out value of the ith positioning point in the evaluation unit; △S: Allowable error of the pull-out value; sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

2. The method for determining static quality evaluation index of rail transit contact network according to claim 1, characterized in that: in, Assign weights to each component and extract the deviation value CQI S Assign a weight of 0.17 to guide the high deviation value CQI H Assign a weight of 0.17 to guide the smoothness CQI of adjacent positioning points D Assign a weight of 0.33 to the high smoothness CQI of the span Hσ Assign a weight of 0.

33.

3. The method for determining static quality evaluation index of rail transit contact network according to claim 2, characterized in that: For the high deviation component CQI H The calculation method is to calculate the average value of the guide height of all positioning points in the statistical evaluation unit that exceeds the allowable error range, that is, the ratio of the sum of the differences between the guide height of all positioning points that exceed the error range and △h to the number of spans, and substitute it into the following formula 3 to derive the CQI H , the specific calculation formula is: Where i: is the pillar and span identifier within the evaluation unit, the first pillar is numbered 0; n: is the number of spans in the evaluation unit, the first span is numbered 1; Smi: is the measured height of the ith positioning point in the evaluation unit; Sti: Design height of the i-th positioning point in the evaluation unit; △h: Permissible error of the positioning point height guide construction; sign is a sign function. When its independent variable is a negative number, the value of sign is -1; when its independent variable is 0, the value of sign is 0; when its independent variable is a positive number, the value of sign is 1.

4. The method for determining static quality evaluation index of rail transit contact network according to claim 3, characterized in that: in, For adjacent positioning points, the smoothness CQI D The calculation method is to calculate the average vertical distance between the middle positioning point and the connecting line of the adjacent positioning points on both sides in the statistical evaluation unit, and then substitute it into formula 4 to derive the CQI D , the specific calculation formula is: Where i: is the pillar and span identifier within the evaluation unit, the first pillar is numbered 0; n: is the number of spans in the evaluation unit, the first span is numbered 1; h i : is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the i-1th positioning point and the i+1th positioning point.

5. The method for determining static quality evaluation index of rail transit contact network according to claim 4, characterized in that: in, For high smoothness CQI Hσ The calculation method is to use the average vertical distance between the middle measurement point and the average value of the span height guide in the statistical evaluation unit, and substitute it into Formula 5 to derive the CQI Hσ , the specific calculation formula is: Where i: is the pillar and span identifier within the evaluation unit, the first pillar is numbered 0; n: is the number of spans in the evaluation unit, the first span is numbered 1; j: It is the position identification of the measurement points in each span within the evaluation unit, and the first measurement point in the equivalent span is numbered 1; k: is the number of measurement points in each span within the evaluation unit; H i-j : is the contact line height at the jth measuring point in the i-th span within the evaluation unit; H mi : is the average conductance height within the i-th span in the evaluation unit; h i : is the vertical distance between the height of the contact line at the ith positioning point in the evaluation unit and the line connecting the (i-1)th positioning point and the (i+1)th positioning point.

6. The method for determining static quality evaluation index of rail transit contact network according to claim 5, characterized in that: When the value of the contact network static quality index CQI is less than or equal to the CQI standard value, the equipment status is evaluated as excellent or good; when the value of the contact network static quality index CQI is greater than the CQI standard value, the equipment status is evaluated as poor; the CQI standard value adopts the calculation method of "national standard + enterprise standard" to determine the CQI evaluation standards for rigid suspension and flexible suspension, respectively: rigid suspension: 0-3 is excellent, 3-6 is good, 6-∞ is poor; flexible suspension: 0-21 is excellent, 21-32 is good, 32-∞ is poor.

7. A system for determining static quality evaluation indicators of a rail transit contact network, used for implementing the method for determining static quality evaluation indicators of a rail transit contact network according to any one of claims 1 to 6, characterized in that: The system comprises: A parameter selection module, used for selecting data of parameter components required for calculating static quality evaluation of the contact network from detection parameters of the contact network; A component value calculation module calculates the value of each component based on the data of each component; The weight distribution module assigns corresponding weights to each component, and the sum of the weights of each component is equal to 1; The quality determination module adds the products of each component value multiplied by the corresponding weight, and the sum is the value of the contact network static quality index CQI, wherein the contact network static quality index CQI characterizes the static characteristics of the contact network; the contact network static quality level is determined according to the value of the contact network static quality index CQI.

8. The system for determining static quality evaluation indexes of rail transit contact network according to claim 7, characterized in that: When the value of the contact network static quality index CQI is less than or equal to the CQI standard value, the equipment status is evaluated as excellent or good; when the value of the contact network static quality index CQI is greater than the CQI standard value, the equipment status is evaluated as poor; among them, the CQI standard value is calculated based on the enterprise standard and the national standard, and is calculated as follows according to the difference between rigid suspension and flexible suspension: The calculation of the standard value of rigid suspension includes: 1) Rigid suspension pull-out value deviation component CQI S The standard value calculation includes the following steps: S101. Determine that the error between the enterprise standard and the national standard is ±10mm, that is, △S=10; S102. Equipment is in excellent / good condition, then: Lim(S mi ) → S ti ±10mm; S103.|Lim(S mi )-S ti |-△S→|(S ti ±10mm)-S ti |-△S; we get: |Lim(S mi )-S ti |-△S<0; S104. mi )-S ti Substituting |-△S into formula 2, we get: CQI S (Excellent / good rigidity) = 0; 2) Rigid suspension height deviation component CQI H The standard value calculation includes the following steps: S201. The allowable error of the enterprise standard is ±2mm, that is, △h=2; the allowable error of the national standard is ±5mm; S202. If the equipment is in excellent condition, then: Lim(H mi )→Hti±2mm; If the equipment is in good condition, then: Lim(H mi )→Hti±5mm; S203. Equipment in good condition: |Lim(H mi )-H ti |-△h→|(H ti ±2mm)-H ti |-△h gives: |Lim(H mi )-H ti |-△h<0; Equipment in good condition: |Lim(H mi )-H ti |-△h→|(H ti ±5mm)-H ti |-△h gives: |Lim(H mi )-H ti |-△h<3; S204. mi )-H ti Substituting |-△h into formula 3, we get: CQI H (Excellent rigidity) = 0, CQI H (good rigidity) = 3; 3) The calculation of the CQID standard value of the height guide smoothness of adjacent positioning points of the rigid suspension includes the following steps: S301. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm; S302. If the equipment is in excellent condition, then: Lim(D i )→(H ti +△h)-(H ti -△h)=4mm; If the equipment is in good condition, then: Lim(D i )→(H ti +5)-(H ti -5)=10mm; S303. Substitute into formula 4, S304. Result: CQI D (Excellent rigidity) = 4, CQI S (good rigidity) = 10; 4) Rigid suspension with high smoothness CQI Hσ The standard value calculation includes the following steps: S401. The allowable error of the height guide parameter in the enterprise standard is ±2mm; the allowable error of the national standard is ±5mm; S402. Select the intermediate measurement point that is close to the positioning point, then Lim(H mi )→H ti , Equipment in excellent condition: Lim(H i-j )→H ti ±2; Equipment in good condition: Lim(H i-j )→H ti ±5; S403. Equipment is in excellent condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|H ti ±2|- H ti ＝2； If the equipment is in good condition, then: Lim(D i-j )→Lim(H i-j )-Lim(H mi )=|H ti ±2|-H ti =5; S404. Simplified formula S405. Result: CQI Hσ (Excellent rigidity) = 2, CQI Hσ (good rigidity) = 5; The derivation process of flexible suspension is the same as that of rigid suspension.

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