A method, system, device and medium for evaluating the health state of a converter device

Abstract

The application provides a health state evaluation method, system, device and medium of a converter equipment, comprising: obtaining evaluation state quantities of each evaluation component in the converter equipment to be evaluated; obtaining code information and an evaluation score of the converter equipment by using a state evaluation algorithm according to the evaluation state quantities of each evaluation component; and performing health state evaluation on the converter equipment according to the code information and the evaluation score of the converter equipment to obtain a health state evaluation result of the converter equipment; wherein the state evaluation algorithm is implemented based on the code information and the evaluation state quantities of each evaluation component in the converter equipment; and the code and the evaluation score of the converter equipment are calculated by using the state evaluation algorithm implemented based on the code information and the evaluation state quantities of the evaluation components of the converter equipment, the health state is evaluated, the process from the bottom-level index to the final evaluation result has strict logic and interpretability, and the reliability of the converter equipment state conclusion can be reflected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission and transformation equipment monitoring, in particular to a health state evaluation method, system, device and medium for converter equipment. BACKGROUND

[0002] At present, the number of DC projects is gradually increasing, the scale of power grid is continuously expanding, and the reliability requirement of power grid on DC transmission system is increasingly high. The converter valve, valve cooling and valve control together constitute the core converter equipment of DC transmission, which plays an important role in rectification and inversion. Once any part fails, it may cause the voltage on the DC side to decrease and the current to increase, and even cause power transmission interruption in severe cases, which endangers the safe operation of the power grid. Currently, the traditional planned maintenance is usually adopted in the converter station, that is, the annual maintenance is implemented by arranging power outage of the whole station. However, the planned maintenance requires a long power outage time, which is easy to adversely affect the economy of the DC transmission system. In recent years, the state maintenance with higher efficiency is implemented within the power grid, and the health state evaluation of the converter equipment is a prerequisite for implementing and improving the state maintenance.

[0003] At present, the state evaluation methods for the converter valve, valve cooling and valve control mainly include fuzzy evaluation and machine learning. The fuzzy evaluation determines the equipment state by determining the index weight and combining evidence reasoning; the machine learning method constructs a model by fitting learning through neural network to predict the future state of the equipment. The common defects of the above methods are: 1) lack of explainability from the bottom index to the final state determination, and lack of logical and rigorous mechanism significance; 2) when the bottom index quantity of the converter valve, valve cooling and valve control increases or decreases, the above methods cannot quickly respond, resulting in reduced reliability of the state evaluation of the converter equipment. SUMMARY

[0004] In order to solve the problem of lack of explainability from the bottom index to the final state determination in the existing state evaluation method of the converter equipment, resulting in reduced reliability of the state evaluation of the converter equipment, the present application proposes a health state evaluation method for the converter equipment, comprising:

[0005] obtaining evaluation state quantities of each evaluation component in the converter equipment to be evaluated;

[0006] obtaining code information and evaluation scores of the converter equipment by using a preset state evaluation algorithm according to the evaluation state quantities of each evaluation component;

[0007] performing health state evaluation on the converter equipment according to the code information and evaluation scores of the converter equipment, and obtaining health state evaluation results of the converter equipment;

[0008] The state evaluation algorithm is implemented based on the code information and evaluation state quantities of each evaluation component in the converter equipment.

[0009] Optionally, the evaluation state quantity of each evaluation component is used to obtain the code information and the evaluation score of the converter equipment by using a preset state evaluation algorithm, including:

[0010] The deduction information corresponding to the evaluation state quantity is obtained by using a preset state mapping relationship according to the evaluation state quantity of each evaluation component;

[0011] The state quantity deduction value corresponding to each evaluation component is obtained by multiplying the deduction information and the weight coefficient corresponding to the evaluation state quantity;

[0012] The code information and the evaluation score of the converter equipment are obtained based on the state quantity deduction value corresponding to each evaluation component.

[0013] Optionally, the code information and the evaluation score of the converter equipment are obtained based on the state quantity deduction value corresponding to each evaluation component, including:

[0014] Each evaluation component is coded according to the state quantity deduction value corresponding to each evaluation component to obtain the code information of each evaluation component;

[0015] The code information and the evaluation score of the converter equipment are obtained according to the code information of each evaluation component.

[0016] Optionally, the code information and the evaluation score of the converter equipment are obtained according to the code information of each evaluation component, including:

[0017] When the code information of each evaluation component is a green code, the code information of the converter equipment is set to a green code, and the evaluation score of the converter equipment is set to a preset state normal score value;

[0018] When the code information of the evaluation component includes a yellow code and does not include a red code, the code information of the converter equipment is set to a yellow code, and the evaluation score of the converter equipment is calculated according to a first expression;

[0019] When the code information of the evaluation component includes a red code, the code information of the converter equipment is set to a red code, and the evaluation score of the converter equipment is calculated according to a second expression.

[0020] Optionally, the first expression is as follows:

[0021]

[0022] Wherein, Y represents the evaluation score when the converter equipment is assigned a yellow code; G represents the normal status score; a represents the yellow code coefficient value; A represents the deduction value of the status quantity in the evaluation composition; and B represents the sum of the deduction values ​​of the status quantity in the evaluation composition.

[0023] Optionally, the second expression is as follows:

[0024]

[0025] Where R represents the evaluation score when the converter equipment's coding information is red; G represents the normal status score; b represents the red code coefficient value; A represents the deduction value of the status quantities in the evaluation; and B represents the sum of the deduction values ​​of the status quantities in the evaluation.

[0026] Optionally, the step of evaluating the health status of the converter equipment based on its coding information and evaluation score to obtain the health status evaluation result includes:

[0027] When the coding information of the converter equipment is green, the health status evaluation result of the converter equipment is that the converter equipment is in normal operation.

[0028] When the coding information of the converter is yellow or red, the health status evaluation result of the converter is obtained based on the evaluation score of the converter.

[0029] Optionally, when the coding information of the converter equipment is yellow, the health status evaluation result of the converter equipment is obtained based on the evaluation score of the converter equipment, including:

[0030] When the coding information of the converter equipment is yellow;

[0031] If the evaluation score of the converter equipment is within the first yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a slight abnormality.

[0032] If the evaluation score of the converter equipment is within the second yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a moderate abnormality.

[0033] If the evaluation score of the converter equipment is within the third yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a serious abnormality.

[0034] Optionally, when the coding information of the converter equipment is red, the health status evaluation result of the converter equipment is obtained based on the evaluation score of the converter equipment, including:

[0035] When the code information of the converter device is red code;

[0036] When the evaluation score of the converter device is in the first red code threshold range, the health state evaluation result of the converter device is that the converter device is in an abnormal operation state and there is a serious problem;

[0037] When the evaluation score of the converter device is in the second red code threshold range, the health state evaluation result of the converter device is that the converter device is in an abnormal operation state and there is a shutdown risk.

[0038] Optionally, the evaluation components include hardware components and monitored quantity components;

[0039] The converter device includes a converter valve, valve cooling, and valve control;

[0040] The hardware components in the converter valve include one or more of the following: thyristors, arresters, saturated reactors, insulators, structural components, and connecting components;

[0041] The monitored quantity components in the converter valve include one or more of the following: a fast overvoltage protection action level exceeding signal, a thyristor level redundancy loss signal, an optical channel abnormal signal, a thyristor level fault signal, an equalizing resistor fault signal, a damping resistor fault signal, a damping capacitor fault signal, a trigger line fault signal, and a saturated reactor fault signal;

[0042] The hardware components in the valve cooling include one or more of the following: cooling medium, pump stations, heat exchangers, filters, valves, and pipelines;

[0043] The monitored quantity components in the valve cooling include one or more of the following: temperature of the cooling medium, pressure of the cooling medium, working state of the pump station, filter fault signal, pipeline pressure, and pipeline flow;

[0044] The hardware components in the valve control include one or more of the following: monitoring and protection circuits, signal processing circuits, protection circuits, auxiliary power supplies, and communication interfaces;

[0045] The monitored quantity components in the valve control include one or more of the following: a thyristor level fault signal, an optical channel abnormal signal, a trigger line fault signal, and an auxiliary power supply working state monitoring signal.

[0046] Based on the same inventive concept, the present application also provides a health state evaluation system for a converter device, which includes:

[0047] A state quantity acquisition module is configured to acquire evaluation state quantities of evaluation components in a converter device to be evaluated;

[0048] The score calculation module is configured to obtain code information and an evaluation score of the converter equipment by using a preset state evaluation algorithm according to the evaluation state quantity of each evaluation component.

[0049] The state evaluation module is configured to evaluate the health state of the converter equipment according to the code information and the evaluation score of the converter equipment, and obtain a health state evaluation result of the converter equipment.

[0050] The state evaluation algorithm in the score calculation module is implemented based on the code information and the evaluation state quantity of each evaluation component in the converter equipment.

[0051] Optionally, the score calculation module comprises:

[0052] The basic deduction submodule is configured to obtain deduction information corresponding to the evaluation state quantity by using a preset state mapping relationship according to the evaluation state quantity of each evaluation component.

[0053] The state quantity deduction submodule is configured to perform product operation on the deduction information and a weight coefficient corresponding to the evaluation state quantity to obtain a state quantity deduction value corresponding to each evaluation component.

[0054] The evaluation score calculation submodule is configured to obtain the code information and the evaluation score of the converter equipment based on the state quantity deduction value corresponding to each evaluation component.

[0055] Optionally, the evaluation score calculation submodule comprises:

[0056] The code unit is configured to code each evaluation component according to the state quantity deduction value corresponding to each evaluation component to obtain code information of each evaluation component.

[0057] The scoring unit is configured to obtain the code information and the evaluation score of the converter equipment according to the code information of each evaluation component.

[0058] Optionally, the scoring unit comprises:

[0059] The green code scoring submodule is configured to set the code information of the converter equipment as a green code and set the evaluation score of the converter equipment as a preset state normal score value when the code information of each evaluation component is a green code.

[0060] The yellow code scoring submodule is configured to set the code information of the converter equipment as a yellow code and calculate the evaluation score of the converter equipment according to a first expression when there is a yellow code and no red code in the code information of the evaluation component.

[0061] The red code scoring subunit is configured to set the code information of the converter equipment as a red code when the red code exists in the code information of the evaluation composition, and calculate the evaluation score of the converter equipment according to a second expression.

[0062] Optionally, the first expression is as follows:

[0063]

[0064] wherein Y represents the evaluation score when the code information of the converter equipment is a yellow code; G represents the normal state score value; a represents the yellow code coefficient value; A represents the state quantity deduction value of the evaluation composition; and B represents the total sum of the state quantity deduction values of the evaluation composition.

[0065] Optionally, the second expression is as follows:

[0066]

[0067] wherein R represents the evaluation score when the code information of the converter equipment is a red code; G represents the normal state score value; b represents the red code coefficient value; A represents the state quantity deduction value of the evaluation composition; and B represents the total sum of the state quantity deduction values of the evaluation composition.

[0068] Optionally, the state evaluation module comprises:

[0069] The green code evaluation sub-module is configured to, when the code information of the converter equipment is a green code, obtain the health state evaluation result of the converter equipment as the converter equipment being in a normal operation state.

[0070] The red-yellow code evaluation sub-module is configured to, when the code information of the converter equipment is a yellow code or a red code, obtain the health state evaluation result of the converter equipment according to the evaluation score of the converter equipment.

[0071] Optionally, the red-yellow code evaluation sub-module comprises:

[0072] The yellow code first evaluation unit is configured to, when the code information of the converter equipment is a yellow code, if the evaluation score of the converter equipment is in a first yellow code threshold range, obtain the health state evaluation result of the converter equipment as the converter equipment being in an operation state but having a slight abnormality.

[0073] The yellow code second evaluation unit is configured to, if the evaluation score of the converter equipment is in a second yellow code threshold range, obtain the health state evaluation result of the converter equipment as the converter equipment being in an operation state but having a moderate abnormality.

[0074] The yellow code third evaluation unit is configured to, if the evaluation score of the converter equipment is in a third yellow code threshold range, determine that the health state evaluation result of the converter equipment is that the converter equipment is in a running state but has a serious abnormality.

[0075] Optionally, the red-yellow code evaluation submodule further includes:

[0076] The red code first evaluation unit is configured to, if the code information of the converter equipment is a red code, and if the evaluation score of the converter equipment is in a first red code threshold range, determine that the health state evaluation result of the converter equipment is that the converter equipment is in an abnormal running state and has a serious problem.

[0077] The red code second evaluation unit is configured to, if the evaluation score of the converter equipment is in a second red code threshold range, determine that the health state evaluation result of the converter equipment is that the converter equipment is in an abnormal running state and has a shutdown risk.

[0078] Optionally, the evaluation components in the state quantity acquisition module include hardware components and monitored quantity components.

[0079] The converter equipment includes a converter valve, valve cooling, and valve control.

[0080] The hardware components in the converter valve include one or more of the following: a thyristor, a lightning arrester, a saturated reactor, an insulator, a structural part, and a connecting part.

[0081] The monitored quantity components in the converter valve include one or more of the following: a fast overvoltage protection action level exceeding signal, a thyristor level redundancy loss signal, an optical channel abnormal signal, a thyristor level fault signal, an equalizing resistor fault signal, a damping resistor fault signal, a damping capacitor fault signal, a trigger line fault signal, and a saturated reactor fault signal.

[0082] The hardware components in the valve cooling include one or more of the following: a cooling medium, a pump station, a heat exchanger, a filter, a valve, and a pipeline.

[0083] The monitored quantity components in the valve cooling include one or more of the following: a temperature of the cooling medium, a pressure of the cooling medium, a working state of the pump station, a filter fault signal, a pipeline pressure, and a pipeline flow.

[0084] The hardware components in the valve control include one or more of the following: a monitoring and protection circuit, a signal processing circuit, a protection circuit, an auxiliary power supply, and a communication interface.

[0085] The monitored quantity components in the valve control include one or more of the following: a thyristor level fault signal, an optical channel abnormal signal, a trigger line fault signal, and an auxiliary power supply working state monitoring signal.

[0086] In still another aspect, the present application provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected through a bus;

[0087] the memory, configured to store one or more programs;

[0088] When the one or more programs are executed by the at least one processor, a health state evaluation method of a converter equipment is implemented.

[0089] In still another aspect, the present application provides a computer device readable storage medium, having an execution program stored thereon, when the execution program is executed, a health state evaluation method of a converter equipment is implemented.

[0090] Compared with the prior art, the present application has the following beneficial effects:

[0091] The present application provides a health state evaluation method, system, device and medium of a converter equipment, comprising: obtaining evaluation state quantities of each evaluation component in a converter equipment to be evaluated; obtaining code information and evaluation scores of the converter equipment by using a preset state evaluation algorithm according to the evaluation state quantities of each evaluation component; performing health state evaluation on the converter equipment according to the code information and evaluation scores of the converter equipment, and obtaining a health state evaluation result of the converter equipment; wherein the state evaluation algorithm is implemented based on the code information and evaluation state quantities of each evaluation component in the converter equipment; the present application realizes the calculation of the code and evaluation scores of the converter equipment by using the state evaluation algorithm implemented based on the code information and evaluation state quantities of the evaluation components of the converter equipment, so that the process from the bottom-level index to the final evaluation result has strict logic and interpretability, and can practically reflect the theoretical reliability of the health state result of the converter equipment. BRIEF DESCRIPTION OF DRAWINGS

[0092] Figure 1 A flowchart of a health state evaluation method of a converter equipment provided by the present application is shown;

[0093] Figure 2 A state evaluation flowchart of a health state evaluation method of a converter equipment provided by an embodiment of the present application is shown;

[0094] Figure 3 A hierarchical division result diagram of a health state evaluation method of a converter equipment provided by an embodiment of the present application is shown;

[0095] Figure 4 A structural composition diagram of a health state evaluation system of a converter equipment provided by the present application is shown;

[0096] Figure 5A structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0097] The present application provides a health state evaluation method, system, device and medium for a converter equipment, and the specific embodiments of the present application are further described in detail below with reference to the accompanying drawings.

[0098] Embodiment 1

[0099] The present application provides a health state evaluation method for a converter equipment, and a flowchart is shown as Figure 1 The present application provides a health state evaluation method for a converter equipment, and a flowchart is shown as

[0100] Step 1: obtaining evaluation state quantities of each evaluation component in the converter equipment to be evaluated;

[0101] Step 2: obtaining code information and evaluation scores of the converter equipment by using a preset state evaluation algorithm according to the evaluation state quantities of each evaluation component;

[0102] Step 3: performing health state evaluation on the converter equipment according to the code information and evaluation scores of the converter equipment, and obtaining a health state evaluation result of the converter equipment;

[0103] The state evaluation algorithm is implemented based on the code information and evaluation state quantities of each evaluation component in the converter equipment.

[0104] For example, the converter equipment in step 1 can include a converter valve, valve cooling and valve control.

[0105] For example, the evaluation component can include a hardware component and a monitoring quantity component.

[0106] For example, the hardware component in the converter valve can include one or more of the following: a thyristor, a lightning arrester, a saturated reactor, an insulator, a structural part and a connecting part.

[0107] For example, the monitoring quantity component in the converter valve can include one or more of the following: a forward over protection (FOP) action level exceeding signal, a thyristor level redundancy loss signal, an optical channel abnormal signal, a thyristor level fault signal, a grading resistor fault signal, a damping resistor fault signal, a damping capacitor fault signal, a trigger line fault signal and a saturated reactor fault signal.

[0108] For example, the hardware component in the valve cooling includes one or more of the following: a cooling medium, a pump station, a heat exchanger, a filter, a valve and a pipeline.

[0109] For example, the monitoring quantities in the valve cooling include one or more of the following: temperature of the cooling medium, pressure of the cooling medium, working state of the pump station, filter fault signal, pipeline pressure and pipeline flow rate;

[0110] For example, the hardware components in the valve control include one or more of the following: monitoring protection circuit, signal processing circuit, protection circuit, auxiliary power supply and communication interface;

[0111] For example, the monitoring quantities in the valve control include one or more of the following: thyristor level fault signal, optical channel abnormal signal, trigger line fault signal and auxiliary power supply working state monitoring signal;

[0112] In the present application, the converter equipment is divided into three levels, namely evaluation target, evaluation component and evaluation state quantity, wherein the evaluation target is the converter equipment, which can include: converter valve, valve cooling and valve control; the evaluation component refers to the hardware component and the monitoring quantity component of the converter equipment, wherein the hardware component can be divided into multiple layers, and the monitoring quantity can not belong to the fixed hardware; the monitoring quantity component can include: online monitoring signal, alarm signal, offline detection variable, factory standard, component standard, etc.; the evaluation state quantity refers to the judgment basis reflecting the state of the hardware component or the monitoring quantity component, and each hardware component or monitoring quantity component has at least one evaluation state quantity. Finally, a three-layer structure of "converter equipment-hardware (or monitoring quantity)-evaluation state quantity" is formed; such multi-level evaluation structure not only can find potential problems and effectively reduce the risk of equipment damage, prolong the service life, help maintenance personnel more efficiently manage, overhaul and maintain the converter equipment, but also can further improve the reliability and safety of the entire system.

[0113] In an implementation manner, the process of obtaining the code information and the evaluation score of the converter equipment according to the evaluation state quantity of each evaluation component by using a preset state evaluation algorithm in step 2 can include:

[0114] According to the evaluation state quantity of each evaluation component, the state mapping relationship is used to obtain the deduction information corresponding to the evaluation state quantity;

[0115] The deduction information and the weight coefficient corresponding to the evaluation state quantity are multiplied to obtain the state quantity deduction value corresponding to each evaluation component;

[0116] Based on the state quantity deduction value corresponding to each evaluation component, the code information and the evaluation score of the converter equipment are obtained.

[0117] In the implementation mode, the state mapping relationship corresponds to a mapping relationship between the evaluation state quantity and the basic deduction value. The evaluation state quantity of each evaluation component is divided into four levels, i.e., I, II, III and IV, according to the deterioration degree from light to heavy, and the corresponding basic deduction value is 2, 4, 8 and 10 points. The influence degree of the evaluation state quantity on the safe operation of the converter equipment from light to heavy is divided into weight 1, weight 2, weight 3 and weight 4, and the coefficients are 1, 2, 3 and 4 respectively. Weight 1 and weight 2 correspond to the evaluation state quantity with less influence on the safe operation of the converter equipment, and weight 3 and weight 4 correspond to the evaluation state quantity with greater influence on the safe operation of the converter equipment. The evaluation state quantity deduction value is calculated according to the following calculation formula: evaluation state quantity deduction value = state quantity basic deduction value * weight coefficient, wherein the evaluation state quantity is not deducted when it is normal. The evaluation state quantity coding principle is shown in Table 1 as follows:

[0118] Table 1 Evaluation state quantity coding principle

[0119] State quantity deduction value State quantity code State quantity deduction value = 0 Green code 0 < state quantity deduction value < 30 Yellow code State quantity deduction value ≥ 30 Red code

[0120] The green code represents a normal state, the yellow code represents an abnormal state without shutdown but with strengthened monitoring, and the red code represents a serious abnormal state requiring shutdown for maintenance.

[0121] When all the state quantities corresponding to the evaluation component are green codes, the evaluation component is assigned a green code. When there are green codes and yellow codes in all the state quantities corresponding to the evaluation component, the evaluation component is assigned a yellow code. When there is a red code in all the state quantities corresponding to the evaluation component, the evaluation component is assigned a red code.

[0122] In the implementation mode, the process of obtaining the coding information and the evaluation score of the converter equipment based on the state quantity deduction value corresponding to each evaluation component can include:

[0123] According to the state quantity deduction value corresponding to each evaluation component, each evaluation component is coded to obtain the coding information of each evaluation component;

[0124] According to the coding information of each evaluation component, the coding information and the evaluation score of the converter equipment are obtained.

[0125] In the implementation mode, the process of obtaining the coding information and the evaluation score of the converter equipment based on the coding information of each evaluation component can include:

[0126] When the coding information of each evaluation component is a green code, the coding information of the converter equipment is set to a green code, and the evaluation score of the converter equipment is set to a preset normal state score value (for example, the normal state score value is 100 points);

[0127] When the evaluation composition code information contains yellow code and does not contain red code, the code information of the converter equipment is set as yellow code, and the evaluation score of the converter equipment is calculated according to the first expression; that is, when all the evaluation compositions corresponding to the evaluation target are green code, the evaluation target is assigned green code; when all the evaluation compositions corresponding to the evaluation target contain green code and yellow code, the evaluation target is assigned yellow code; when all the evaluation compositions corresponding to the evaluation target contain red code, the evaluation composition is assigned red code.

[0128] For example, when the evaluation composition is assigned green code, the evaluation composition score is 100 points; when the evaluation composition is assigned yellow code, the evaluation composition score is as follows: yellow code score = 100- (the evaluation composition yellow code state quantity should be deducted value / the evaluation composition yellow code state quantity can be deducted value total) * 40. When the evaluation composition is assigned red code, the evaluation composition score is as follows: red code score = 60- (the evaluation composition red code state quantity should be deducted value / the evaluation composition red code state quantity can be deducted value total) * 60.

[0129] When the evaluation composition code information contains red code, the code information of the converter equipment is set as red code, and the evaluation score of the converter equipment is calculated according to the second expression.

[0130] For example, the first expression described above is as follows:

[0131]

[0132] Wherein, Y represents the evaluation score when the code information of the converter equipment is yellow code; G represents the state normal score value; a represents the yellow code coefficient value; A represents the state quantity should be deducted value of the evaluation composition; B represents the state quantity can be deducted value total of the evaluation composition.

[0133] For example, the second expression described above is as follows:

[0134]

[0135] Wherein, R represents the evaluation score when the code information of the converter equipment is red code; G represents the state normal score value; b represents the red code coefficient value; A represents the state quantity should be deducted value of the evaluation composition; B represents the state quantity can be deducted value total of the evaluation composition.

[0136] For example, when the evaluation target is assigned a green code, the evaluation target score is 100 points; when the evaluation target is assigned a yellow code, the evaluation target score is as follows: yellow code score = 100 - (all evaluation component yellow code state quantity should deduct score value / all evaluation component yellow code state quantity deduct score value total) * 40. When the evaluation target is assigned a red code, the evaluation target score is as follows: red code score = 60 - (all evaluation component red code state quantity should deduct score value / all evaluation component red code state quantity deduct score value total) * 60. When the evaluation state quantity is more abundant as the digitization improves, only the corresponding evaluation state quantity deduction and code assignment method needs to be added to the bottom layer, and the health status of the converter valve, valve cooling, and valve control can continue to be calculated according to the above method. The method of the application can quickly respond while the monitoring quantity of the converter equipment is continuously improved, and the entire process does not need to be manually checked or the model trained, thereby facilitating the reduction of pressure caused by iterative updates.

[0137] Specifically, the above technical solution divides the health status evaluation of the converter equipment into different levels, defines the deterioration degree and influence degree for each evaluation state quantity, and further establishes a detailed scoring and code assignment method, which can bring the following several significant technical effects:

[0138] Fine-grained evaluation: The deterioration degree of the evaluation state quantity is divided into four levels, and the corresponding deduction value is given, which can more accurately reflect the state of the converter equipment; the influence degree of the state quantity on the safe operation of the converter valve is quantified by the weight coefficient, which helps to distinguish importance and urgency.

[0139] Quickly locate the problem: Different color coding of green code, yellow code and red code can quickly identify whether the state of the equipment is normal, abnormal or serious abnormal; the evaluation composition and the evaluation target both use similar code assignment methods, which helps to quickly locate the level where the problem lies.

[0140] Improve maintenance efficiency: Only when the evaluation state quantity is abnormal will the score be deducted, reducing unnecessary maintenance of normal components; by quantifying the score, maintenance resources can be arranged more targetedly, and red code state quantities can be prioritized.

[0141] Support decision making: The scoring and code assignment method provides quantitative evaluation results, providing strong data support for maintenance planning and equipment upgrading; by monitoring the trend of the evaluation state quantity, potential failures can be predicted in advance, and preventive measures can be taken.

[0142] Promote standardized management: The clear deduction and code assignment method helps to establish a unified evaluation standard and promote standardized management; the standardized evaluation system simplifies the document management and report preparation process.

[0143] Improving system reliability: By timely discovering and handling abnormal state quantities, the incidence of equipment failure can be effectively reduced; regular inspection and maintenance can ensure that the equipment is always in the best state, prolonging its service life.

[0144] Adapting to digital transformation: With the advancement of digital technology and the introduction of more state quantities, this method can be flexibly expanded by simply adding new state quantities at the bottom.

[0145] Improving safety: Red code prompts require immediate action, which can avoid safety accidents caused by equipment failure; through continuous monitoring and evaluation of state quantities, preventive maintenance can be achieved to avoid safety hazards caused by sudden equipment failure, and the method combines expert experience and basic theory, has interpretability and expandability, can expand the evaluation object according to the demand, the mechanism is simple, and is convenient for engineering practice.

[0146] In summary, the technical scheme of the present application can realize effective evaluation and management of the health state of the converter equipment through meticulous state quantity division, clear deduction and coding method, thereby improving the reliability and safety of the system, while reducing maintenance cost and improving maintenance efficiency. With the development of digital technology, this scheme can be further optimized and improved.

[0147] In an implementation manner, the process of evaluating the health state of the converter equipment according to the coding information and the evaluation score of the converter equipment in step 3 to obtain the health state evaluation result of the converter equipment can include:

[0148] When the coding information of the converter equipment is green code, the health state evaluation result of the converter equipment is that the converter equipment is in a normal operating state;

[0149] When the coding information of the converter equipment is yellow code or red code, the health state evaluation result of the converter equipment is obtained according to the evaluation score of the converter equipment.

[0150] In this implementation manner, when the coding information of the converter equipment is yellow code, the process of obtaining the health state evaluation result of the converter equipment according to the evaluation score of the converter equipment can include:

[0151] When the coding information of the converter equipment is yellow code;

[0152] If the evaluation score of the converter equipment is in the first yellow code threshold range, the health state evaluation result of the converter equipment is that the converter equipment is in an operating state, but there is a slight abnormality;

[0153] If the evaluation score of the converter equipment is in the second yellow code threshold range, the health state evaluation result of the converter equipment is that the converter equipment is in an operating state, but there is a moderate abnormality;

[0154] If the evaluation score of the converter equipment is in the third yellow code threshold range, the health state evaluation result of the converter equipment is that the converter equipment is in a running state, but there is a serious abnormality.

[0155] For example, when the converter equipment is in yellow code, and the evaluation score is between 90 and 99, it indicates that the evaluation composition or evaluation target can maintain running, but there is a slight abnormality, the score is between 70 and 89, it indicates that the evaluation composition or evaluation target can maintain running, but there is a moderate abnormality, and it needs to be monitored, and the score is between 60 and 69, it indicates that the evaluation composition or evaluation target can maintain running, but there is a more serious abnormality, and a serious running deterioration may occur at any time.

[0156] In this implementation, when the code information of the converter equipment is red code, according to the evaluation score of the converter equipment, the process of obtaining the health state evaluation result of the converter equipment can include:

[0157] When the code information of the converter equipment is red code;

[0158] If the evaluation score of the converter equipment is in the first red code threshold range, the health state evaluation result of the converter equipment is that the converter equipment is in an abnormal running state, and there is a serious problem.

[0159] If the evaluation score of the converter equipment is in the second red code threshold range, the health state evaluation result of the converter equipment is that the converter equipment is in an abnormal running state, and there is a danger of shutdown.

[0160] For example, when the converter equipment is in yellow code, and the evaluation score is between 50 and 59, it indicates that the evaluation composition or evaluation target can maintain running, but there is a serious problem in the key components or core functions, and the maintenance strategy needs to be adjusted, and the score is 49 or below, it indicates that the evaluation composition or evaluation target can maintain running, but there is a situation of insufficient redundancy, and it may trip and shut down at any time, and at this time, it is best to apply for temporary shutdown maintenance. If the same code has different evaluation scores, but the evaluation scores do not necessarily show a linear downward trend, but may have a sudden score drop, even leading to a change in the code.

[0161] The present application aims at the problem that the existing state evaluation method of converter equipment lacks explainability from bottom index to final state determination, resulting in reduced reliability of state evaluation of the converter equipment, and proposes a health state evaluation method of converter equipment, which realizes the calculation of code assignment and evaluation score of the converter equipment through the state evaluation algorithm implemented based on the code assignment information and evaluation state quantity of the evaluation composition of the converter equipment, and performs health evaluation on the online running state of the converter equipment. Compared with the existing method, the present application has rigorous logic and explainability from the bottom index to the final evaluation result, can actually reflect the theoretical reliability of the equipment state conclusion, is helpful for the maintenance of the converter equipment, and has wider applicability without fear of increase of equipment monitoring quantity.

[0162] Embodiment 2

[0163] A health state evaluation method of converter equipment provided by the present application is described with a specific embodiment, which is divided into two parts of code assignment and score evaluation, wherein the code assignment includes green code, yellow code and red code evaluation, the score evaluation includes deduction and score, and the two parts complement each other. The flowchart is shown in Figure 2 The specific operation steps are as follows:

[0164] (1) The health state evaluation of converter valve, valve cooling and valve control is divided into three levels: evaluation target, evaluation composition and evaluation state quantity.

[0165] (2) The deduction and code assignment of the evaluation state quantity are formulated according to the importance.

[0166] (3) The code assignment method of the evaluation composition and the evaluation target is formulated according to the code assignment of the evaluation state quantity.

[0167] (4) The evaluation score calculation method of the evaluation composition and the evaluation target is formulated according to the deduction of the evaluation state quantity and the determined code assignment method.

[0168] This embodiment takes the health state evaluation of the converter valve as an example to illustrate the process of the invented method:

[0169] In step (1), the division basis is the hardware composition of the converter valve, online monitoring signal, alarm signal, offline detection variable, factory standard, component standard, etc., and the division result is as shown in Figure 3The evaluation target is the converter valve in the embodiment; the evaluation composition includes hardware (thyristor, resistor, capacitor, saturable reactor, etc.), monitoring quantity (alarm signal) in the embodiment, and the alarm signal can include, for example, a Forward Over Protect (FOP) action level out-of-limit signal, a Valve Base Electronic (VBE) alarm signal, etc., and the evaluation composition can be divided into multiple layers according to structural logic or operation logic, etc. The evaluation state quantity is a specific signal representing the hardware or monitoring quantity, such as temperature, impedance value, etc. indicating whether the resistor is faulty. In the figure, the room temperature leakage current, the 90°C junction temperature leakage current, the forward voltage resistance, the reverse voltage resistance, the DC impedance, the voltage-sharing resistor, the damping resistor (for example, the Rd resistor and the Rx resistor in the figure), the C1 capacitance value, the C2 capacitance value and the C3 capacitance value are offline monitoring variables, and the rest are online monitoring signals. In the figure, the abnormality of the temperature, the current, the resistance value, the capacitance value, etc. is determined according to the factory standard or the standard of the device itself or the operation standard of the equipment, etc.

[0170] In step (2), the degradation degree of the state quantity is divided into four levels, i.e. I, II, III and IV from light to heavy, and the corresponding basic deduction value is 2, 4, 8 and 10 points. The influence degree of the evaluation state quantity on the safe operation of the converter valve is divided into weight 1, weight 2, weight 3 and weight 4 from light to heavy, and the coefficients are 1, 2, 3 and 4 respectively. Weight 1 and weight 2 correspond to the state quantity with less influence on the safe operation of the converter valve, and weight 3 and weight 4 correspond to the state quantity with greater influence on the safe operation of the converter valve.

[0171] The state quantity deduction value = state quantity basic deduction value * weight coefficient, and no deduction is made when the state quantity is normal.

[0172] The state quantity code assignment process is shown in Table 2 as follows:

[0173] Table 2: State quantity code assignment process in the embodiment

[0174] State quantity deduction value State quantity code State quantity deduction value = 0 Green code 0 < state quantity deduction value < 30 Yellow code State quantity deduction value ≥ 30 Red code

[0175] The green code indicates that the state is normal. The yellow code indicates that the state is abnormal but does not need to be shut down and can be monitored intensively. The red code indicates that the state is seriously abnormal and needs to be shut down for maintenance.

[0176] The deduction code assignment method for the intercepted part of the evaluation state quantity is shown in Table 3 as follows:

[0177] Table 3: Deduction code assignment method for the evaluation state quantity in the embodiment

[0178]

[0179]

[0180] In step (3), when all state quantities corresponding to the evaluation composition are green code, the evaluation composition is assigned green code; when there are green code and yellow code among all state quantities corresponding to the evaluation composition, the evaluation composition is assigned yellow code; when there is red code among all state quantities corresponding to the evaluation composition, the evaluation composition is assigned red code. Corresponding to the example of the present embodiment, if the state quantities "temperature" and "resistance value" corresponding to the voltage-sharing resistor are normal through monitoring and detection, the voltage-sharing resistor is assigned green code; if one of "temperature" and "resistance value" is assigned yellow code because it exceeds the standard, the voltage-sharing resistor is assigned yellow code; if one of "temperature" and "resistance value" is assigned red code because it exceeds the standard, the voltage-sharing resistor is assigned red code.

[0181] In step (3), when all evaluation compositions corresponding to the evaluation target are green code, the evaluation target is assigned green code; when there are green code and yellow code among all evaluation compositions corresponding to the evaluation target, the evaluation target is assigned yellow code; when there is red code among all evaluation compositions corresponding to the evaluation target, the evaluation composition is assigned red code. Corresponding to the example of the present embodiment, if all evaluation compositions corresponding to the converter valve are green code, the converter valve is assigned green code; if one of the evaluation compositions, for example, the voltage-sharing resistor, is assigned yellow code, the converter valve is assigned yellow code; if one of the evaluation compositions, for example, the voltage-sharing resistor, is assigned red code, the converter valve is assigned red code.

[0182] In step (4), when the evaluation composition is assigned green code, the score of the evaluation composition is 100; when the evaluation composition is assigned yellow code, the score of the evaluation composition is as follows:

[0183] Yellow code score = 100 - (the evaluation composition yellow code state quantity should be deducted value / the evaluation composition yellow code state quantity can be deducted value total) * 40.

[0184] When the evaluation composition is assigned red code, the score of the evaluation composition is as follows:

[0185] Red code score = 60 - (the evaluation composition red code state quantity should be deducted value / the evaluation composition red code state quantity can be deducted value total) * 60.

[0186] Corresponding to the example of the present embodiment, the voltage-sharing resistor has three evaluation state quantities, if the temperature exceeds the upper limit of operation, it is assigned yellow code, and the corresponding score is: 100 - 16 / 16 * 40 = 60 points. If the temperature exceeds the upper limit of design, it is assigned red code, and the corresponding score is: 60 - 32 / (30+32) * 60 = 29 points.

[0187] In step (4), when the evaluation target is assigned green code, the score of the evaluation target is 100; when the evaluation target is assigned yellow code, the score of the evaluation target is as follows:

[0188] Yellow code score = 100 - (all evaluation composition yellow code state quantity should be deducted value / all evaluation composition yellow code state quantity can be deducted value total) * 40.

[0189] When the evaluation target is assigned a red code, the evaluation target score is as follows:

[0190] Red code score = 60 - (all evaluation component red code state quantity deduction value / all evaluation component red code state quantity deduction value total) * 60.

[0191] When the evaluation state quantity is more abundant as the digitization improves, only the corresponding evaluation state quantity deduction and code assignment method needs to be added to the bottom layer, and the health status of the converter valve, valve cooling and valve control can continue to be calculated according to the above method. The embodiment can illustrate the health status evaluation method of the converter equipment provided by the application, which combines expert experience and basic theory, has interpretability and expandability, can expand the evaluation object according to the demand, and has a simple mechanism and is convenient for engineering practice.

[0192] Embodiment 3:

[0193] The application based on the same inventive concept also provides a health status evaluation system of a converter equipment, a structural component schematic diagram of which is shown in Figure 4 , and includes:

[0194] The state quantity acquisition module is configured to acquire the evaluation state quantity of each evaluation component in the converter equipment to be evaluated.

[0195] The score calculation module is configured to obtain the code assignment information and the evaluation score of the converter equipment by using a preset state evaluation algorithm according to the evaluation state quantity of each evaluation component.

[0196] The state evaluation module is configured to evaluate the health status of the converter equipment according to the code assignment information and the evaluation score of the converter equipment, and obtain the health status evaluation result of the converter equipment.

[0197] The state evaluation algorithm in the score calculation module is implemented based on the code assignment information and the evaluation state quantity of each evaluation component in the converter equipment.

[0198] For example, the evaluation component in the state quantity acquisition module can include a hardware component and a monitoring quantity component.

[0199] For example, the converter equipment can include a converter valve, valve cooling and valve control.

[0200] For example, the hardware component in the converter valve can include one or more of the following: a thyristor, a lightning arrester, a saturated reactor, an insulator, a structural component and a connecting component.

[0201] For example, the monitoring quantity composition in the converter valve described above can include one or more of the following: a fast overvoltage protection action level exceeding signal, a thyristor level redundancy loss signal, an optical channel abnormal signal, a thyristor level fault signal, an equalizing resistor fault signal, a damping resistor fault signal, a damping capacitor fault signal, a trigger line fault signal, and a saturated reactor fault signal.

[0202] For example, the hardware composition in the valve cooling described above can include one or more of the following: a cooling medium, a pump station, a heat exchanger, a filter, a valve, and a pipeline.

[0203] For example, the monitoring quantity composition in the valve cooling described above can include one or more of the following: a temperature of the cooling medium, a pressure of the cooling medium, an operating state of the pump station, a filter fault signal, a pipeline pressure, and a pipeline flow.

[0204] For example, the hardware composition in the valve control described above can include one or more of the following: a monitoring protection circuit, a signal processing circuit, a protection circuit, an auxiliary power supply, and a communication interface.

[0205] For example, the monitoring quantity composition in the valve control described above can include one or more of the following: a thyristor level fault signal, an optical channel abnormal signal, a trigger line fault signal, and an auxiliary power supply operating state monitoring signal.

[0206] In a possible implementation manner, the score calculation module described above can include:

[0207] A basic deduction sub-module is configured to obtain deduction information corresponding to the evaluation state quantity according to the evaluation state quantity of each evaluation composition and by using a preset state mapping relationship.

[0208] A state quantity deduction sub-module is configured to perform a product operation on the deduction information and a weight coefficient corresponding to the evaluation state quantity, to obtain a state quantity deduction value corresponding to each evaluation composition.

[0209] An evaluation score calculation sub-module is configured to obtain the code information and the evaluation score of the converter equipment based on the state quantity deduction value corresponding to each evaluation composition.

[0210] In a possible implementation manner, the evaluation score calculation sub-module described above can include:

[0211] A coding unit is configured to code each evaluation composition according to the state quantity deduction value corresponding to each evaluation composition, to obtain code information of each evaluation composition.

[0212] A scoring unit is configured to obtain the code information and the evaluation score of the converter equipment according to the code information of each evaluation composition.

[0213] In a possible implementation manner, the scoring unit described above can include:

[0214] The green code scoring subunit is configured to set the code information of the converter equipment as green code and set the evaluation score of the converter equipment as a preset normal state score value when the code information of each evaluation component is green code.

[0215] The yellow code scoring subunit is configured to set the code information of the converter equipment as yellow code and calculate the evaluation score of the converter equipment according to a first expression when there is yellow code and no red code in the code information of the evaluation component.

[0216] The red code scoring subunit is configured to set the code information of the converter equipment as red code and calculate the evaluation score of the converter equipment according to a second expression when there is red code in the code information of the evaluation component.

[0217] For example, the first expression is as follows:

[0218]

[0219] wherein Y represents the evaluation score when the code information of the converter equipment is yellow code; G represents the normal state score value; a represents a yellow code coefficient value; A represents a state quantity deduction value of the evaluation component; and B represents a total sum of state quantity deduction values of the evaluation component.

[0220] For example, the second expression is as follows:

[0221]

[0222] wherein R represents the evaluation score when the code information of the converter equipment is red code; g represents the normal state score value; b represents a red code coefficient value; A represents a state quantity deduction value of the evaluation component; and B represents a total sum of state quantity deduction values of the evaluation component.

[0223] In a possible implementation, the state evaluation module can include:

[0224] The green code evaluation sub-module is configured to, when the code information of the converter equipment is green code, obtain a health state evaluation result of the converter equipment as the converter equipment being in a normal operation state.

[0225] The red-yellow code evaluation sub-module is configured to, when the code information of the converter equipment is yellow code or red code, obtain a health state evaluation result of the converter equipment according to the evaluation score of the converter equipment.

[0226] In the implementation, the red-yellow code evaluation sub-module can include:

[0227] The first yellow code evaluation unit is used when the coding information of the converter equipment is yellow. If the evaluation score of the converter equipment is within the first yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a slight abnormality.

[0228] The second yellow code evaluation unit is used to determine the health status of the converter equipment as being in operation but with moderate abnormalities if the evaluation score of the converter equipment is within the second yellow code threshold range.

[0229] The third evaluation unit of the yellow code is used to determine the health status of the converter equipment if the evaluation score of the converter equipment is within the third yellow code threshold range. The result is that the converter equipment is in operation, but there is a serious abnormality.

[0230] In this implementation, the aforementioned red and yellow code evaluation submodule may further include:

[0231] The first evaluation unit of the red code is used when the coding information of the converter equipment is red. If the evaluation score of the converter equipment is within the first red code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in an abnormal operating state and has serious problems.

[0232] The second evaluation unit of the red code is used to determine the health status of the converter equipment as being in an abnormal operating state and at risk of shutdown if the evaluation score of the converter equipment is within the second red code threshold range.

[0233] Example 4:

[0234] like Figure 5 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0235] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc., which are the computing core and control core of the terminal, and are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in the storage medium to implement a corresponding method flow or a corresponding function, to implement the steps of the health state evaluation method of the converter equipment in the above embodiment.

[0236] Embodiment 5:

[0237] Based on the same inventive concept, the application further provides a readable storage medium, specifically an electronic device readable storage medium (Memory). The electronic device readable storage medium is a memory device in the electronic device, and is used for storing programs and data. It can be understood that the storage medium herein can include a built-in storage medium in the electronic device, and of course can also include an expansion storage medium supported by the electronic device. The storage medium provides a storage space, and the storage space stores an operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more execution programs (including program codes). It should be noted that the storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. The processor loads and executes one or more instructions stored in the storage medium, to implement the steps of the health state evaluation method of the converter equipment in the above embodiment.

[0238] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can adopt the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0239] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0240] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device that implements the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0241] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0242] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application and not to limit the scope of protection, although the above embodiments of the present application are described in detail, those skilled in the art should understand that: the skilled person in the art can make various changes, modifications or equivalent replacements to the specific embodiments of the application after reading the present application, but these changes, modifications or equivalent replacements are all within the scope of protection of the claims.

Claims

1. A method for evaluating the health status of a converter device, characterized in that, include: Obtain the evaluation status quantities of each evaluation component in the converter equipment to be evaluated; Based on the evaluation state quantities of each evaluation component, the deduction information corresponding to the evaluation state quantities is obtained using a preset state mapping relationship; The deduction information and the weight coefficients corresponding to the pre-set evaluation state quantities are multiplied to obtain the deduction value for each evaluation component's state quantity. Based on the deduction values ​​of the state quantities corresponding to each evaluation component, the coding information and evaluation score of the converter equipment are obtained. Based on the coding information and evaluation score of the converter equipment, a health status evaluation is performed on the converter equipment to obtain the health status evaluation result of the converter equipment; The state assessment algorithm is implemented based on the coding information and evaluation state quantities of each evaluation component in the converter equipment. The evaluation components include: hardware components and monitoring quantity components; The converter equipment includes: a converter valve, a valve cooler, and a valve control; The hardware components of the converter valve include one or more of the following: thyristors, surge arresters, saturated reactors, insulators, structural components, and connectors; The monitoring parameters in the converter valve include one or more of the following: rapid overvoltage protection action level exceeding limit signal, thyristor redundancy loss signal, optical channel abnormal signal, thyristor fault signal, equalizing resistor fault signal, damping resistor fault signal, damping capacitor fault signal, trigger line fault signal, and saturated reactor fault signal. The hardware components of the valve cooler include one or more of the following: cooling medium, pump station, heat exchanger, filter, valve and pipeline; The monitoring parameters in the valve cooling system include one or more of the following: temperature of the cooling medium, pressure of the cooling medium, operating status of the pump station, filter fault signal, pipeline pressure, and pipeline flow rate. The hardware components of the valve control include one or more of the following: monitoring and protection circuit, signal processing circuit, protection circuit, auxiliary power supply, and communication interface. The monitoring parameters in the valve control include one or more of the following: thyristor-level fault signals, optical channel abnormal signals, trigger line fault signals, and auxiliary power supply operating status monitoring signals.

2. The method as described in claim 1, characterized in that, The process of obtaining the coding information and evaluation score of the converter equipment based on the deduction values ​​of the state variables corresponding to each evaluation component includes: Based on the deduction value of the state quantity corresponding to each evaluation component, each evaluation component is coded to obtain the coding information of each evaluation component. Based on the coding information of each evaluation component, the coding information and evaluation score of the converter equipment are obtained.

3. The method as described in claim 2, characterized in that, The step of obtaining the coding information and evaluation score of the converter equipment based on the coding information of each evaluation component includes: When the coding information of each evaluation component is green, the coding information of the converter equipment is set to green, and the evaluation score of the converter equipment is set to the preset normal status score value. When the coding information of the evaluation composition contains a yellow code and does not contain a red code, the coding information of the converter equipment is set to yellow code, and the evaluation score of the converter equipment is calculated according to the first expression. When a red code is present in the coding information of the evaluation composition, the coding information of the converter equipment is set to red, and the evaluation score of the converter equipment is calculated according to the second expression.

4. The method as described in claim 3, characterized in that, The first expression is as follows: Wherein, Y represents the evaluation score when the converter equipment is assigned a yellow code; G represents the normal status score; a represents the yellow code coefficient value; A represents the deduction value of the status quantity in the evaluation composition; and B represents the sum of the deduction values ​​of the status quantity in the evaluation composition.

5. The method as described in claim 3, characterized in that, The second expression is as follows: Where R represents the evaluation score when the converter equipment's coding information is red; G represents the normal status score; b represents the red code coefficient value; A represents the deduction value of the status quantities in the evaluation; and B represents the sum of the deduction values ​​of the status quantities in the evaluation.

6. The method as described in claim 1, characterized in that, The step of evaluating the health status of the converter equipment based on its coding information and evaluation score, and obtaining the health status evaluation result of the converter equipment, includes: When the coding information of the converter equipment is green, the health status evaluation result of the converter equipment is that the converter equipment is in normal operation. When the coding information of the converter is yellow or red, the health status evaluation result of the converter is obtained based on the evaluation score of the converter.

7. The method as described in claim 6, characterized in that, When the coding information of the converter equipment is yellow, the health status evaluation result of the converter equipment is obtained based on the evaluation score of the converter equipment, including: When the coding information of the converter equipment is yellow; If the evaluation score of the converter equipment is within the first yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a slight abnormality. If the evaluation score of the converter equipment is within the second yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a moderate abnormality. If the evaluation score of the converter equipment is within the third yellow code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in operation, but there is a serious abnormality.

8. The method as described in claim 6, characterized in that, When the coding information of the converter equipment is red, the health status evaluation result of the converter equipment is obtained based on the evaluation score of the converter equipment, including: When the coding information of the converter equipment is red; If the evaluation score of the converter equipment is within the first red code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in an abnormal operating state and has serious problems. If the evaluation score of the converter equipment is within the second red code threshold range, the health status evaluation result of the converter equipment is that the converter equipment is in an abnormal operating state and there is a risk of shutdown.

9. A health status evaluation system for converter equipment, characterized in that, include: The status quantity acquisition module is used to acquire the evaluation status quantities of each evaluation component in the converter equipment to be evaluated. The scoring calculation module is used to obtain the coding information and evaluation score of the converter equipment based on the evaluation state quantities of each evaluation component and using a preset state evaluation algorithm. The status evaluation module is used to evaluate the health status of the converter equipment based on the coding information and evaluation score of the converter equipment, and obtain the health status evaluation result of the converter equipment. The status evaluation algorithm in the scoring calculation module is implemented based on the coding information and evaluation status quantities of each evaluation component in the converter equipment. The scoring calculation module includes: The basic deduction module is used to obtain the deduction information corresponding to the evaluation state quantity based on the evaluation state quantity of each evaluation component and using a preset state mapping relationship; The state quantity deduction module is used to multiply the deduction information with the pre-set weight coefficients corresponding to the evaluation state quantities to obtain the deduction value of the state quantity corresponding to each evaluation component; The evaluation score calculation submodule is used to obtain the coding information and evaluation score of the converter equipment based on the deduction value of the state quantity corresponding to each evaluation component; The evaluation components include: hardware components and monitoring quantity components; The converter equipment includes: a converter valve, a valve cooler, and a valve control; The hardware components of the converter valve include one or more of the following: thyristors, surge arresters, saturated reactors, insulators, structural components, and connectors; The monitoring parameters in the converter valve include one or more of the following: rapid overvoltage protection action level exceeding limit signal, thyristor redundancy loss signal, optical channel abnormal signal, thyristor fault signal, equalizing resistor fault signal, damping resistor fault signal, damping capacitor fault signal, trigger line fault signal, and saturated reactor fault signal. The hardware components of the valve cooler include one or more of the following: cooling medium, pump station, heat exchanger, filter, valve and pipeline; The monitoring parameters in the valve cooling system include one or more of the following: temperature of the cooling medium, pressure of the cooling medium, operating status of the pump station, filter fault signal, pipeline pressure, and pipeline flow rate. The hardware components of the valve control include one or more of the following: monitoring and protection circuit, signal processing circuit, protection circuit, auxiliary power supply, and communication interface. The monitoring parameters in the valve control include one or more of the following: thyristor-level fault signals, optical channel abnormal signals, trigger line fault signals, and auxiliary power supply operating status monitoring signals.

10. The system as described in claim 9, characterized in that, The status evaluation module includes: The green code evaluation submodule is used to determine that the health status evaluation result of the converter equipment is that the converter equipment is in normal operation when the assigned code information of the converter equipment is green. The red and yellow code evaluation submodule is used to obtain the health status evaluation result of the converter equipment based on the evaluation score of the converter equipment when the assigned code information of the converter equipment is yellow or red.

11. An electronic device, characterized in that, include: At least one processor and memory; The memory and processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a health status evaluation method for a converter device as described in any one of claims 1 to 8 is implemented.

12. A computing device readable storage medium, characterized in that, It contains an execution program, which, when executed, implements a health status evaluation method for a converter equipment as described in any one of claims 1 to 8.

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