CN114384885B

CN114384885B - Process parameter adjusting method, device, equipment and medium based on abnormal working conditions

Info

Publication number: CN114384885B
Application number: CN202210286933.6A
Authority: CN
Inventors: 郭传亮; 童晓慧
Original assignee: Hope Zhizhou Technology Shenzhen Co ltd
Current assignee: Hope Zhizhou Technology Shenzhen Co ltd
Priority date: 2022-03-23
Filing date: 2022-03-23
Publication date: 2022-06-03
Anticipated expiration: 2042-03-23
Also published as: CN115129006A; CN114384885A

Abstract

The application discloses a process parameter adjusting method, a device, equipment and a medium based on abnormal working conditions. The technological parameter adjusting method based on the abnormal working condition comprises the following steps: acquiring a marker post working condition code; acquiring process parameters and a process parameter scoring card according to the working condition codes of the marker post; determining abnormal process parameters according to the process parameters and the process parameter scoring card; generating working condition fault codes according to the abnormal process parameters; generating a nonstandard working condition code according to the working condition fault code and the benchmark working condition code; and inquiring whether available recommended process parameters exist in the database according to the non-standard working condition codes, and if available recommended process parameters exist, adjusting the process parameters according to the recommended process parameters. The technological parameter adjusting method based on the abnormal working condition can timely and quickly realize technological parameter adjustment, so that the production result can still reach the production expectation under the condition of abnormal technological parameters.

Description

Technological parameter adjusting method, device, equipment and medium based on abnormal working conditions

Technical Field

The application relates to the field of industrial manufacturing, in particular to a method, a device, equipment and a medium for adjusting process parameters based on abnormal working conditions.

Background

During a production operation, a multi-step process flow is included, which in turn includes various process parameters (e.g., equipment vacuum, vapor pressure, hydrogen pressure, etc.). Due to uncontrollable factors such as equipment load, equipment failure and the like, the condition that the process parameters exceed the preset range of the benchmark value may occur, when the process parameters cannot recover the numerical values within a period of time, the production results are greatly influenced, and the process parameters need to be timely adjusted according to the abnormity of the process parameters, so that the production results reach the production expectation.

Disclosure of Invention

In view of this, embodiments of the present application provide a method, an apparatus, a device, and a medium for adjusting process parameters based on abnormal conditions, so as to solve the problem of how to adjust the process parameters in time when the process parameters are abnormal.

In a first aspect, an embodiment of the present application provides a method for adjusting process parameters based on abnormal operating conditions, where the method includes:

acquiring a marker post working condition code;

acquiring process parameters and a process parameter scoring card according to the marker post working condition codes;

determining abnormal process parameters according to the process parameters and the process parameter scoring card;

generating working condition fault codes according to the abnormal process parameters;

generating a nonstandard working condition code according to the working condition fault code and the marker post working condition code;

and inquiring whether available recommended process parameters exist in a database according to the nonstandard working condition codes, and if available recommended process parameters exist, adjusting the process parameters according to the recommended process parameters.

The above aspect and any possible implementation manner further provide an implementation manner, where the determining an abnormal process parameter according to the process parameter and the process parameter scoring card includes:

determining the process parameters to be checked of the current production flow from the process parameters;

judging whether the numerical value of the process parameter to be inspected is out of the numerical range of the scoring card of the process parameter, wherein when the numerical value of the process parameter to be inspected is larger than the benchmark value + the upper specification limit of the process parameter to be inspected, or when the numerical value of the process parameter to be inspected is smaller than the benchmark value-the lower specification limit of the process parameter to be inspected, the process parameter to be inspected is out of the numerical range of the scoring card of the process parameter, wherein the upper specification limit and the lower specification limit are obtained according to the benchmark value and the standard deviation of the process parameter to be inspected;

and if the to-be-inspected technological parameter is out of the numerical range of the technological parameter scorecard, determining the to-be-inspected technological parameter as the abnormal technological parameter.

The above aspect and any possible implementation manner further provide an implementation manner, where generating a working condition fault code according to the abnormal process parameter includes:

determining the number of abnormal production processes, the number of abnormal process parameters, the number of abnormal production processes and the abnormal process parameter codes according to the abnormal process parameters;

determining a parameter fault code according to the numerical value of the abnormal process parameter and the process parameter scoring card;

acquiring available marks of working condition fault codes and address codes of an abnormal parameter database;

and generating the working condition fault code according to the abnormal number of the production process, the abnormal process parameter number, the abnormal production process number, the abnormal process parameter code, the parameter fault code, the working condition fault code available mark and the abnormal parameter database address code.

The above aspects and any possible implementation manners further provide an implementation manner, where the abnormal process parameter includes an unchangeable normal process parameter and a variable abnormal process parameter, where if the unchangeable normal process parameter exists before a production process, the working condition fault code available flag corresponding to the unchangeable abnormal process parameter is indicated as available, and if a predicted mean value of the variable abnormal process parameter is within a prediction interval range in a production stage, the working condition fault code available flag of the variable abnormal process parameter is indicated as available;

the determining of the parameter fault code according to the numerical value of the abnormal process parameter and the process parameter scoring card further comprises:

determining whether the abnormal process parameter is variable;

if the abnormal process parameter is the unchangeable normal process parameter, generating the parameter fault code according to the value of the unchangeable normal process parameter and the process parameter score card;

and if the abnormal process parameter is the variable abnormal process parameter, generating the parameter fault code by using the predicted mean value of the variable abnormal process parameter in a preset continuous time period and the process parameter score card.

The above aspect and any possible implementation manner further provide an implementation manner, where the determining a parameter fault code according to the value of the abnormal process parameter and the process parameter score card includes:

when the numerical value of the abnormal process parameter is larger than the benchmark value of the process parameter to be detected plus the specification upper limit, or when the numerical value of the abnormal process parameter is smaller than the benchmark value of the process parameter to be detected minus the specification lower limit, determining a fault numerical value interval of the abnormal process parameter;

and determining the parameter fault code according to the fault value interval of the abnormal process parameter.

The above-mentioned aspects and any possible implementation manner further provide an implementation manner, where the non-standard operating condition code includes a parameter fault code and an operating condition fault code available flag, and the querying, according to the non-standard operating condition code, whether there is an available recommended process parameter in a database, and if there is an available recommended process parameter, adjusting the process parameter according to the recommended process parameter, including:

determining whether the working condition fault code available marks in the non-standard working condition codes are all represented as available, if the working condition fault code available marks in the non-standard working condition codes are all represented as available, inquiring whether a non-standard working condition final use version exists in a database according to the non-standard working condition codes;

and if the non-standard working condition final use version exists, acquiring the recommended process parameters of the non-standard working condition final use version, and adjusting the process parameters according to the recommended process parameters.

The above-mentioned aspect and any possible implementation manner further provide an implementation manner, after querying whether there are available recommended process parameters in the database according to the non-standard operating condition code, further including:

if the non-standard working condition codes cannot be inquired in the database, available recommended process parameters are inquired;

determining whether the working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all indicated to be available, newly building a non-standard working condition design parameter scoring card corresponding to the non-standard working condition codes;

calculating according to the abnormal process parameters and a preset recommended value algorithm to obtain the recommended process parameters, and storing the recommended process parameters in the nonstandard working condition design parameter scoring card;

and determining the non-standard working condition version state of the non-standard working condition design parameter score card according to the product evaluation score of the production verification result of the recommended process parameter.

In a second aspect, an embodiment of the present application provides a device for adjusting process parameters based on abnormal operating conditions, where the device includes:

the first acquisition module is used for acquiring a marker post working condition code;

the second acquisition module is used for acquiring the process parameters and the process parameter scoring card according to the marker post working condition codes;

the determining module is used for determining abnormal process parameters according to the process parameters and the process parameter scoring card;

the first generating module is used for generating working condition fault codes according to the abnormal process parameters;

the second generation module is used for generating a nonstandard working condition code according to the working condition fault code and the benchmark working condition code;

and the adjusting module is used for inquiring whether available recommended process parameters exist in a database according to the non-standard working condition codes, and adjusting the process parameters according to the recommended process parameters if the available recommended process parameters exist.

Further, the determining module is specifically configured to:

determining the technological parameters to be tested of the current production flow from the technological parameters;

judging whether the numerical value of the process parameter to be inspected is out of the numerical range of the process parameter scoring card, wherein when the numerical value of the process parameter to be inspected is larger than the benchmark value + the upper specification limit of the process parameter to be inspected, or when the numerical value of the process parameter to be inspected is smaller than the benchmark value-the lower specification limit of the process parameter to be inspected, the process parameter to be inspected is out of the numerical range of the process parameter scoring card, wherein the upper specification limit and the lower specification limit are obtained according to the benchmark value and the standard deviation of the process parameter to be inspected;

Further, the first generating module is specifically configured to:

Further, the abnormal process parameters include an unchangeable normal process parameter and a variable abnormal process parameter, wherein if the unchangeable normal process parameter exists before a production process, the working condition fault coding available flag corresponding to the unchangeable abnormal process parameter is indicated as available, and if a predicted mean value of the variable abnormal process parameter is within a prediction interval range in a production stage, the working condition fault coding available flag of the variable abnormal process parameter is indicated as available.

Further, the first generating module is further specifically configured to:

determining whether the abnormal process parameter is variable;

Further, the first generating module is further specifically configured to:

Further, the adjusting module is specifically configured to:

Further, the abnormal condition based process parameter adjusting device is further specifically configured to:

determining whether the working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all available, newly building a non-standard working condition design parameter scoring card corresponding to the non-standard working condition codes;

In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, where the processor executes the computer readable instructions to perform the steps of the abnormal operating condition-based process parameter adjustment method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores computer-readable instructions, and the computer-readable instructions, when executed by a processor, implement the step of adjusting the process parameter based on the abnormal operating condition according to the first aspect.

In the embodiment of the application, a marker post working condition code is obtained firstly, corresponding process parameters and a process parameter score card are obtained according to the marker post working condition code, abnormal process parameters in a production flow are judged, and a strategy for adjusting the current process parameters is determined according to the abnormal process parameters; then, generating working condition fault codes according to the abnormal process parameters and generating non-standard working condition codes by utilizing the standard rod working condition codes so as to determine the abnormal conditions corresponding to the multiple abnormal process parameters in the production flow under the conditions of huge number of process parameters and various production flows, and timely adjusting the process parameters under the abnormal conditions of different abnormal process parameter combinations; and finally, inquiring whether available recommended process parameters exist in the database according to the non-standard working condition codes, if the available recommended process parameters exist, adjusting the process parameters according to the recommended process parameters, and when abnormal process parameters are found, combining the corresponding non-standard working condition codes according to the abnormal process parameters to timely and quickly realize process parameter adjustment so that the production result can still reach the production expectation under the condition that the abnormal process parameters exist.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.

FIG. 1 is a flow chart of a method for adjusting process parameters based on abnormal operating conditions according to an embodiment of the present disclosure;

FIG. 2 is a schematic block diagram of an apparatus corresponding to a process parameter adjustment method based on abnormal operating conditions in an embodiment of the present application;

FIG. 3 is a schematic block diagram of a computer device in an embodiment of the present application.

Detailed Description

For better understanding of the technical solutions of the present application, the following detailed descriptions of the embodiments of the present application are provided with reference to the accompanying drawings.

It should be understood that the embodiments described are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "and/or" as used herein is merely a field that describes the same of an associated object, meaning that three relationships may exist, e.g., A and/or B, may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present application, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present application.

The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

The operating conditions are used to describe the state of the production operation of the production plant and the installation, which can usually be represented by process parameters. In industrial production, the working condition value of the marker post can be used as a reference value of the production process of industrial production. The production result under the working condition value of the standard pole is relatively consistent with the production expectation, but all process parameters can not be kept within the working condition value of the standard pole or the allowable fluctuation range of the working condition value due to some uncontrollable factors. As the industrial production involves hundreds of process parameters, when one process parameter or even a plurality of process parameters are abnormal, production personnel cannot adjust the process parameters in time, so that the production result cannot meet the production expectation.

Fig. 1 is a flowchart of a method for adjusting process parameters based on abnormal operating conditions in an embodiment of the present application. The technological parameter adjusting method based on the abnormal working conditions can be applied to industrial production, and can adjust the technological parameters in the production process in time when the abnormal technological parameters appear in the industrial production process, so that the production result reaches the production expectation. As shown in fig. 1, the method for adjusting process parameters based on abnormal operating conditions includes the following steps:

s10: and acquiring the working condition code of the marker post.

The working condition is the combination of the variation intervals of the input element (including human, machine, material, method, ring and measurement) characteristic values of the production process, the combination of the elements can be encoded in a partition mode according to the characteristic intervals of the elements in actual production, and different working condition codes are further formed according to the partition codes. Different working condition combinations have obvious influence on the technological parameters adopted by the production process. The technical parameter values of the optimal production result (customer demand) obtained by using the product with the same working condition code to perform a machine learning optimization algorithm are called benchmark values, and a database in which the benchmark values are stored is called a benchmark database. The benchmark database is managed by adopting a working condition code mode, and the working condition code stored in the benchmark database is called a benchmark working condition code. It can be understood that in an ideal production process, the product produced by using the process parameter (benchmark value) corresponding to the benchmark working condition code will meet the production expectation of the customer.

S20: and acquiring process parameters and a process parameter scoring card according to the working condition codes of the marker post.

Wherein the process parameters are actual parameters when industrial production is carried out. The process parameter scoring card comprises a value range interval which corresponds to the process parameter and is used for judging the value, and the value range interval is used for judging whether the process parameter is abnormal or not.

In one embodiment, the benchmark working condition code includes a parameter name or code of a process parameter related to the production process, and the process parameter corresponding to the benchmark working condition code can be acquired according to the parameter name or code of the process parameter. It can be understood that the standard process parameters corresponding to the working condition codes of the benchmarks are guiding parameters for production, but the numerical values of the standard process parameters cannot be guaranteed to be unchanged due to some uncontrollable factors in the production process, so that the actual parameters during the industrial production are concerned in the production process. Furthermore, the process parameter scoring card can be preset according to standard process parameters corresponding to the standard working condition codes of the benchmarks, and each process parameter scoring card corresponds to one process parameter in different production flows and time periods. According to the embodiment of the application, the process parameters and the process parameter scoring card can be obtained according to the marker post working condition codes so as to judge whether the process parameters are abnormal or not.

S30: and determining abnormal process parameters according to the process parameters and the process parameter scoring card.

In an embodiment, if the process parameter does not meet the requirement of the process parameter score card, it indicates that the process parameter of the current production flow has a large difference from the value of the standard process parameter corresponding to the flagpole working condition code. If the production is continued by adopting the technological parameters of the current production flow, the production result can not reach the expected index. The process parameters which can cause the production result to fail to reach the index can be taken as abnormal process parameters.

S40: and generating working condition fault codes according to the abnormal process parameters.

The working condition fault code refers to a unified management code set for possible working condition abnormal conditions in the production process.

In one embodiment, a plurality of abnormal process parameters may occur in the production process, and a plurality of abnormal process parameters may occur in the production process of another lot, and the combination of the abnormal process parameters is different from the combination of the abnormal process parameters of another lot. In this regard, the embodiment of the application sets different working condition fault codes for different working conditions, so that the fault condition of each working condition fault has a corresponding fault code record, thereby being beneficial to timely adjusting process parameters according to different working condition fault conditions and enabling the production result to reach the production expectation.

S50: and generating a nonstandard working condition code according to the working condition fault code and the marker post working condition code.

The nonstandard working condition codes are codes generated on the basis of working condition fault codes and represent codes of working condition abnormal conditions which possibly occur during production and correspond to the marker post working condition codes.

In one embodiment, the working condition fault codes and the benchmark working condition codes are associated, so that the abnormal conditions of the process parameters occurring in each production process can be unified. It is understood that each abnormal condition of the process parameters and combinations may be different, for example, the abnormal process parameters and combinations are different; alternatively, the combination of abnormal process parameters is the same, but the specific values of the process parameters are different. For various process parameter combinations and various possibilities of process parameter value changes, the abnormal conditions of the process parameters are determined in a non-standard working condition coding mode, so that the non-standard working condition coding mode is utilized to find out proper recommended process parameters, and the production result can reach the production expectation.

S60: and inquiring whether available recommended process parameters exist in the database according to the non-standard working condition codes, and if available recommended process parameters exist, adjusting the process parameters according to the recommended process parameters.

The recommended process parameters refer to process parameters recommended for replacement under the condition that abnormal process parameters occur. In one embodiment, the abnormal condition of the process parameter can be determined according to the non-standard working condition code, whether the corresponding mapping relation with the recommended process parameter exists in the database or not can be inquired through the non-standard working condition code, if the corresponding mapping relation with the recommended process parameter exists, the recommended process parameter can be obtained according to the mapping relation, and the process parameter adopted by the current production is replaced by the recommended process parameter. After the process parameters are replaced, the used recommended process parameters can still enable the production result to reach the production expectation under the scene of non-standard working condition production (abnormal process parameters appear).

In the embodiment of the application, a marker post working condition code is obtained firstly, a corresponding process parameter and a corresponding process parameter scoring card are obtained according to the marker post working condition code, abnormal process parameters in a production flow are judged, and a strategy for adjusting the current process parameters is determined according to the abnormal process parameters; then, working condition fault codes are generated according to abnormal process parameters, and nonstandard working condition codes are generated by utilizing the benchmark working condition codes, so that the abnormal conditions corresponding to multiple abnormal process parameters in the production flow are determined under the conditions of huge quantity of process parameters and multiple production flows, and the process parameters are adjusted in time under the abnormal conditions of different abnormal process parameter combinations; and finally, inquiring whether available recommended process parameters exist in the database according to the non-standard working condition codes, if the available recommended process parameters exist, adjusting the process parameters according to the recommended process parameters, and when abnormal process parameters are found, combining the corresponding non-standard working condition codes according to the abnormal process parameters to timely and quickly realize process parameter adjustment so that the production result can still reach the production expectation under the condition that the abnormal process parameters exist.

Further, in step S30, in determining the abnormal process parameter according to the process parameter and the process parameter score card, the method specifically includes the following steps:

s31: and determining the process parameters to be inspected of the current production flow from the process parameters.

The process parameters to be inspected are related to the current production flow, and when a plurality of production flows are carried out, the process parameters to be inspected are determined according to different production flows so as to inspect different process parameters based on the production flows.

S32: and judging whether the numerical value of the process parameter to be detected is out of the numerical range of the score card of the process parameter, wherein when the numerical value of the process parameter to be detected is larger than the benchmark value of the process parameter to be detected plus the upper specification limit, or when the numerical value of the process parameter to be detected is smaller than the benchmark value of the process parameter to be detected minus the lower specification limit, the process parameter to be detected is out of the numerical range of the score card of the process parameter, wherein the upper specification limit and the lower specification limit are obtained according to the benchmark value and the standard deviation of the process parameter to be detected.

In one embodiment, when the value of the process parameter to be inspected is greater than the benchmarking value of the process parameter to be inspected + the upper specification limit, or when the value of the process parameter to be inspected is less than the benchmarking value of the process parameter to be inspected-the lower specification limit, the abnormal working condition is indicated, and the production cannot be completed by adopting the standard process parameter. The upper specification limit and the lower specification limit can be set based on the benchmark value of the process parameter to be inspected, namely the numerical value of the standard process parameter corresponding to the process parameter to be inspected. For example, the hydrogen pressure (Kpa unit) is set to [800 (lower specification limit), 1000 (upper specification limit) ]. Therefore, by comparing the process parameter to be inspected in the current production flow with the benchmark value and the specification upper and lower limits thereof, the numerical value size relation of the process parameter to be inspected relative to the parameter specification upper and lower limit intervals under the benchmark working condition can be obtained, and whether the process parameter to be inspected is abnormal or not can be determined.

S33: and if the process parameter to be detected is out of the numerical range of the process parameter score card, determining the process parameter to be detected as an abnormal process parameter.

In one embodiment, the abnormal process parameter may be determined based on whether the process parameter to be inspected falls within the value range of the process parameter scorecard. If the technological parameter to be detected is in the numerical range of the technological parameter score card, the numerical fluctuation in the acceptable range of the technological parameter is shown when the technological parameter to be detected meets the standard pole working condition code, and the production result can still meet the production expectation. If the technological parameter to be detected is out of the numerical range of the technological parameter score card, the difference between the numerical value of the technological parameter to be detected and the numerical value of the standard technological parameter corresponding to the standard working condition code is larger, and if the production is continued according to the technological parameter, the production result cannot reach the production expectation. In the embodiment of the application, the technological parameter scoring card is used for inspecting the technological parameter to be inspected, and the abnormal technological parameter can be determined according to whether the technological parameter to be inspected falls into the numerical range of the technological parameter scoring card or not.

In steps S31-S33, a specific implementation is provided for determining abnormal process parameters according to the process parameters and the process parameter score cards, and the abnormal process parameters can be quickly determined from the process parameters by comparing the benchmarking values, the specification upper limits and the specification lower limits of the process parameters to be inspected in each production flow.

Further, in step S40, namely, in generating the operating condition fault code according to the abnormal process parameter, the method specifically includes the following steps:

s41: and determining the number of abnormal production processes, the number of abnormal process parameters, the number of abnormal production processes and the abnormal process parameter codes according to the abnormal process parameters.

In one embodiment, when abnormal process parameters occur, the production quality of the product under the working condition of the marker post is obviously affected. Information relating to the abnormal process parameters will be determined in the present application. Specifically, the number of abnormal process parameters, which production flow the abnormal process parameters appear in, and the specific production flow, each production flow has several abnormal process parameters, and the specific relevant information of which process parameters the abnormal process parameters are in a production flow can be determined and represented, so as to obtain the number of abnormal production flows, the number of abnormal process parameters, the number of abnormal production flows and the abnormal process parameter codes. Therefore, detailed condition information related to the abnormal process parameters is supplemented, when the abnormal process parameters occur, the quantity of the abnormal process parameters, the production flow condition of the distribution of the abnormal process parameters and the position condition in the production flow (represented by the abnormal process parameter codes) can be detailed, the nonstandard working condition corresponding to the abnormal process parameters can be more accurately represented, different nonstandard working conditions can be accurately distinguished, and the nonstandard working condition corresponding to the abnormal process parameters can be determined when the different abnormal process parameter conditions occur.

S42: and determining a parameter fault code according to the numerical value of the abnormal process parameter and the process parameter scoring card.

The parameter fault code is a code representing the abnormal degree of the abnormal process parameter value. Through the parameter fault code, a manufacturer can quickly acquire the difference degree between the numerical value of the abnormal process parameter and the numerical value of the upper and lower limit specifications of the process parameter benchmark value under the benchmark working condition.

Further, in the step of determining the parameter fault code according to the numerical value of the abnormal process parameter and the process parameter score card, when the numerical value of the abnormal process parameter is larger than the benchmark value + the upper specification limit of the process parameter to be detected, or when the numerical value of the abnormal process parameter is smaller than the benchmark value-the lower specification limit of the process parameter to be detected, the fault numerical value interval of the abnormal process parameter is determined, and the parameter fault code is determined according to the fault numerical value interval of the abnormal process parameter.

In one embodiment, the upper and lower specification limits of the scorecard may be used to set a plurality of intervals of value segments, such as an interval of exceeding the lower limit of [0,800] for hydrogen pressure (in Kpa) at [800, 1000], for each 100 units, e.g., -1 e (700, 800), -2 e (600, 700); the interval of the upper limit is [1000,1200], and similarly, a fault code is set every 100 units, such as 1 belongs to (1000, 1100), 2 belongs to (1100, 1200), thus, when determining the abnormal process parameter, the parameter fault code can also be determined according to the interval of the upper limit and the interval of the lower limit. It can be understood that the parameter fault code actually reflects the value difference of the abnormal process parameter, and under the condition that the number and the combination of the abnormal process parameters are the same, the value of the abnormal process parameter will also affect the production result, and the parameter fault code is taken as the parameter for describing the working condition fault code, so that different working condition fault conditions can be distinguished more accurately.

S43: and acquiring available marks of working condition fault codes and address codes of an abnormal parameter database.

The available sign of the working condition fault codes refers to whether the codes of the working condition faults can be accurately reflected or not. The abnormal parameter database address code refers to the code of the database address for storing the detailed information of the abnormal process parameters.

In one embodiment, the working condition fault code available mark can reflect whether the working condition fault code conforms to the working condition fault occurring in production. For example, when the operating condition fault code available flag is indicated as available, the operating condition fault code can accurately reflect the operating condition fault.

It is to be understood that the condition fault code applicable flag is primarily utilized in the stage of calculating the recommended process parameters using the recommendation algorithm. Different recommended process parameters in the database are obtained by calculation of a recommended algorithm in a recommending stage, if no recommended process parameter corresponding to the non-standard working condition exists in the database and working condition fault coding available marks of the abnormal process parameters in the non-standard working condition are all available, the recommended process parameters can be obtained by calculation of a preset multi-target machine learning recommended algorithm model, and therefore when in actual production, if the recommended process parameters corresponding to the non-standard working condition exist in the database, the recommended process parameters corresponding to the non-standard working condition can be directly adopted for continuous production.

In one embodiment, the production personnel can obtain the detailed information of abnormal process parameters through the address codes of the abnormal parameter database, and can help the production personnel to analyze the reasons of the working condition faults.

S44: and generating working condition fault codes according to the number of the abnormal production processes, the number of the abnormal process parameters, the number of the abnormal production processes, the abnormal process parameter codes, the parameter fault codes, the working condition fault code available marks and the abnormal parameter database address codes.

In one embodiment, in order to determine the condition that the working condition fault code corresponds to the abnormal process parameter, the number of the abnormal production process, the number of the abnormal process parameter, the number of the abnormal production process, the abnormal process parameter code, the parameter fault code, the usable working condition fault code flag, and the address code of the abnormal parameter database are further supplemented in detail, and a manufacturer can uniquely determine the abnormal condition of the process parameter according to the working condition fault code.

Pn process flows are assumed, each process flow has m process parameters X; then there is Pn: X1... Xm.

Specifically, the operating condition fault codes can be represented as N, M: a1, B1, C1, D1, E1, a, Ai, Bi, Ci, Di, Ei (where N is the number of production process anomalies, M is the number of abnormal process parameters, a is the number of abnormal production process, B is the number of process parameters, C is the parameter fault code, D is the available flag of the operating condition fault code, E is the address code of the abnormal parameter database, and i represents the number one, for example, a1 represents the first abnormal production process number). For the D (working condition fault coding available flag), 1,0 can be used to simply indicate whether the flag is available. When D is 1, the parameter fault codes are available, abnormal process parameters are predicted successfully, calculation can be performed by adopting a recommended algorithm, when D is 0, the parameter fault codes are unavailable, abnormal process parameters are predicted unsuccessfully, and calculation can be performed by adopting a preset compensation algorithm.

In an embodiment, the specific case where one process parameter of one production flow is abnormal includes: the X8 parameter of the P1 process is abnormal, the parameter fault code of X8 is 2, the available sign of the working condition fault code is 1, the address code of the database is 100: the working condition fault code can be represented as 1 (number of abnormal production processes), 1 (number of abnormal process parameters), 1 (abnormal production process code), 8 (code of abnormal process parameters in the process parameters), 2 (degree of exceeding the upper limit of the abnormal process parameters is 2), 1 (parameter fault code is available), and 100 (address code of the abnormal detailed information of the working condition fault).

In an embodiment, on the basis of the previous embodiment, if an X6 parameter exception occurs in the P2 process, where the parameter fault code of X6 is-2, the operating condition fault code available flag is 0, and the database address code is 200: the condition fault code may be expressed as 2,2,1,8,2,1,100,2,6, -2,0, 200. It can be seen that, since both the number of abnormal production processes and the number of abnormal process parameters become 2, the first two digits of the operating condition fault code are both 2, and after the database address code 100, the operating condition fault code condition of the X6 parameter in the P2 process can be followed.

In steps S41-S44, a specific implementation manner is provided for generating the working condition fault code according to the abnormal process parameter, and the abnormal process parameter combinations that may occur are distinguished by the number of the abnormal production process, the number of the abnormal process parameter, the number of the abnormal production process, the abnormal process parameter code, the parameter fault code, the available sign of the working condition fault code and the address code of the abnormal parameter database, so that the production personnel can record the process parameter abnormality that may occur during each production, and thus, when the process parameter recommendation is performed, the parameter adjustment can be accurately performed according to the actual process parameter abnormality, so that the production result meets the expectation of the production personnel.

Further, the abnormal process parameters include non-variable normal process parameters and variable abnormal process parameters, wherein if the non-variable normal process parameters exist before the production process, the working condition fault coding available flag corresponding to the non-variable normal process parameters is indicated as available, and if the prediction mean value of the variable abnormal process parameters is within the prediction interval range in the production stage, the working condition fault coding available flag of the variable abnormal process parameters is indicated as available.

In one embodiment, the non-variable normal process parameter refers to an abnormal process parameter whose value does not change during the production process, and the variable abnormal process parameter refers to an abnormal process parameter whose value changes during the production process. Specifically, if the non-variable normal process parameter exists before the production process, that is, the parameter has changed abnormally when the production process is not started yet, and the value of the non-variable normal process parameter has changed only once, it can be considered that the corresponding working condition fault code can accurately reflect the fault, and the working condition fault code available flag can be represented as 1; for the variable abnormal process parameters, if the variable numerical prediction mean value is in the prediction interval range during the production process, the working condition fault corresponding to the prediction mean value can be reflected more accurately, the corresponding working condition fault coding available mark can be represented as 1, wherein the prediction mean value is the mean value of the predicted values of the variable abnormal process parameters before the production is completed, and the prediction interval range is the actual value of the variable abnormal process parameters during the production. When the available sign of the working condition fault codes is represented as 1, the abnormal technological parameter prediction is successful, calculation can be carried out by adopting a recommendation algorithm, and when the available sign of the working condition fault codes is represented as 0, the parameter fault codes are represented to be unavailable, and the abnormal technological parameter prediction fails.

The method further comprises the step of monitoring intermediate products of all batches with working condition faults so as to ensure the quality of the recommendation algorithm. Specifically, if the recommended algorithm fails, the production can be continued by adopting a preset compensation algorithm subsequently, and the production of the batch is stopped until the intermediate product is completely inspected to meet the production specification, and meanwhile, the working condition fault code available mark of the batch is represented as unavailable; if the recommended algorithm is successful, whether the intermediate product after production meets the production specification can be further checked, if not, the judgment of the working condition fault is inaccurate, and the working condition fault code of the batch can be indicated as unavailable by the available mark. Understandably, the rationality and the accuracy of the recommendation algorithm can be further improved through the monitoring strategy, so that production personnel can improve the accurate judgment of the working condition faults, and the process parameters can be accurately adjusted according to the specific abnormal conditions when the process parameters are abnormal.

Further, in step S60, whether there is an available recommended process parameter is queried in the database according to the non-standard condition code, and if there is an available recommended process parameter, the method specifically includes the following steps:

s61: and determining whether the working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all available, inquiring whether a non-standard working condition final use version exists in the database according to the non-standard working condition codes.

The non-standard working condition final use version is a final use version of the recommended process parameters corresponding to the non-standard working conditions, and a user can obtain the recommended process parameters corresponding to the non-standard working condition codes through the non-standard working condition final use version and adopt the recommended process parameters for production.

In one embodiment, when the available identifier of the parameter fault code in the non-standard working condition code has an unavailable mark, the non-standard working condition code can be considered as incapable of accurately reflecting the working condition fault; when the working condition fault code available marks in the non-standard working condition codes are all represented as available, the non-standard working condition final use version which has a mapping relation with the non-standard working condition codes can be inquired in the database due to the fact that the non-standard working condition codes correspond to the unique combination condition of the abnormal working parameters, so that the non-standard working condition final use version is used for obtaining recommended working parameters, wherein the recommended working parameters refer to parameters used for adjusting the values of the working parameters in the non-standard working conditions.

S62: and if the non-standard working condition final use version exists, acquiring recommended process parameters of the non-standard working condition final use version, and adjusting the process parameters according to the recommended process parameters.

In one embodiment, the recommended process parameters are continuously optimized and improved through machine learning, and when the recommended process parameters are determined, the recommended process parameters in the final use version of the non-standard working condition are selected, so that the process parameter adjustment effect of the obtained recommended process parameters is better.

In steps S61-S62, a specific implementation is provided for adjusting process parameters according to recommended process parameters, and when it is determined that the operating condition fault code availability flags in the non-standard operating condition codes are all indicated as available, the non-standard operating condition final use version can be searched from the database and the recommended process parameters are obtained therefrom, so that production completed by using the recommended process parameters can meet production expectations.

Furthermore, the nonstandard working condition codes are bound according to the production work order and the production batch number, a block chain can be selected to be used as a data storage carrier, the accuracy and the timeliness of data are guaranteed, and the process parameters of the production flow can be monitored and adjusted, so that the process parameter adjustment is better realized. The non-standard working condition codes are generated by superposing the abnormal conditions found in a plurality of time periods of a batch of products in a plurality of production process devices, and the abnormal conditions of the process parameters in different time periods in the whole production process can be inquired through the non-standard working condition codes, wherein the data can be recorded and stored by adopting a block chain for generating the non-standard working condition codes, generating work orders and production batches correspondingly, and the like, and a producer can accurately, quickly and stereoscopically (clearly and clearly time) know the abnormal conditions of the process parameters in different time periods in each production process through the block chain, so that the producer can analyze the process parameters in batches and time periods to obtain more accurate recommended process parameters.

Further, after step S60, that is, after querying whether there is any available recommended process parameter in the database according to the non-standard condition code, the method specifically includes the following steps:

s71: if the nonstandard working condition codes do not inquire available recommended process parameters in the database.

It should be noted that the above embodiments are recommendations for implementing process parameters at the production stage. In the stage of multi-target machine learning, recommendation value algorithm calculation is required to be performed according to abnormal process parameters, so that recommended process parameters corresponding to nonstandard working condition codes are obtained.

S72: and determining whether the working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all available, newly establishing a non-standard working condition design parameter scoring card corresponding to the non-standard working condition codes.

The non-standard working condition design parameters are parameters designed for the non-standard working conditions in a research and development stage, include a numerical range interval for numerical judgment, are stored in a data table mode, are different from the parameters of the process parameter scoring card, and can be designed to be larger in the ranges of the upper specification limit and the lower specification limit.

In an embodiment, when the available working condition fault code flags in the non-standard working condition codes are all available, and the judgment on the conditions of the occurring working condition faults and the abnormal process parameters is correct, a non-standard working condition design parameter score card corresponding to the non-standard working condition codes can be newly established, and the recommended process parameters corresponding to the non-standard working condition codes can be obtained according to the abnormal process parameters in the newly established non-standard working condition design parameter score card corresponding to the non-standard working condition codes.

S73: and calculating to obtain recommended process parameters according to the abnormal process parameters and a preset recommended value algorithm, and storing the recommended process parameters in the nonstandard working condition design parameter scoring card.

In an embodiment, the recommended process parameters corresponding to the nonstandard working condition codes are calculated before the production stage, so that production personnel can adjust the process parameters of the production stage according to the recommended process parameters obtained by pre-calculation when formal production or secondary production with abnormal working conditions occurs for the first time, and the production result meets the production expectation.

S74: and determining the non-standard working condition version state of the non-standard working condition design parameter scoring card according to the product evaluation score of the production verification result of the recommended process parameter.

The version state of the non-standard working condition comprises a usable version of the non-standard working condition, an unusable version of the non-standard working condition and a final used version of the non-standard working condition. In one embodiment, a manufacturer can use the non-standard working condition design parameter scoring card to obtain the product evaluation scores (priority indexes of the sequence of the multiple process parameter targets) of the corresponding production verification results in production verification, and divide the non-standard working condition version states into the non-standard working condition usable version, the non-standard working condition unusable version and the non-standard working condition final use version according to the product evaluation scores.

In steps S71-S74, a specific implementation is provided in which recommended process parameters are obtained before the production stage and stored in the nonstandard operating condition design parameter score card, and when an operating condition is abnormal in the production stage, a manufacturer can obtain corresponding recommended process parameters from the database according to the abnormal process parameters, so as to adjust the process parameters in the production stage in favor of the production result.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Fig. 2 is a schematic block diagram of an apparatus corresponding to a process parameter adjustment method based on abnormal operating conditions in an embodiment of the present application. As shown in FIG. 2, the abnormal operating condition based process parameter adjusting apparatus includes a first obtaining module 10, a second obtaining module 20, a determining module 30, a first generating module 40, a second generating module 50, and an adjusting module 60.

The first obtaining module 10 is configured to obtain a marker post working condition code.

And the second obtaining module 20 is used for obtaining the process parameters and the process parameter scoring card according to the working condition codes of the marker post.

And the determining module 30 is used for determining abnormal process parameters according to the process parameters and the process parameter scoring card.

And the first generation module 40 is used for generating working condition fault codes according to the abnormal process parameters.

And the second generating module 50 is used for generating the nonstandard working condition code according to the working condition fault code and the benchmark working condition code.

And the adjusting module 60 is configured to query whether there is an available recommended process parameter in the database according to the non-standard working condition code, and adjust the process parameter according to the recommended process parameter if there is an available recommended process parameter.

Further, the determining module 30 is specifically configured to:

judging whether the numerical value of the process parameter to be detected is out of the numerical range of the process parameter score card, wherein when the numerical value of the process parameter to be detected is larger than the benchmark value + the upper specification limit of the process parameter to be detected, or when the numerical value of the process parameter to be detected is smaller than the benchmark value-lower specification limit of the process parameter to be detected, the process parameter to be detected is out of the numerical range of the process parameter score card, wherein the upper specification limit and the lower specification limit are obtained according to the benchmark value and the standard deviation of the process parameter to be detected;

and if the technological parameter to be detected is out of the numerical range of the technological parameter scorecard, determining the technological parameter to be detected as an abnormal technological parameter.

Further, the first generating module 40 is specifically configured to:

and generating working condition fault codes according to the number of the abnormal production processes, the number of the abnormal process parameters, the number of the abnormal production processes, the abnormal process parameter codes, the parameter fault codes, the available working condition fault code marks and the address codes of the abnormal parameter database.

Further, the first generating module 40 is further specifically configured to:

determining whether the abnormal process parameter is variable;

if the abnormal process parameters are the unchangeable normal process parameters, generating parameter fault codes according to the numerical values of the unchangeable normal process parameters and the process parameter score cards;

and if the abnormal process parameters are variable abnormal process parameters, generating parameter fault codes by using the predicted mean value of the variable abnormal process parameters and the process parameter scorecard in a preset continuous time period.

Further, the first generating module 40 is further specifically configured to:

when the numerical value of the abnormal process parameter is larger than the benchmark value of the process parameter to be detected plus the specification upper limit, or when the numerical value of the abnormal process parameter is smaller than the benchmark value-specification lower limit of the process parameter to be detected, determining a fault numerical value interval of the abnormal process parameter;

and determining a parameter fault code according to the fault value interval of the abnormal process parameter.

Further, the adjusting module 60 is specifically configured to:

determining whether working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all available, inquiring whether a non-standard working condition final use version exists in a database according to the non-standard working condition codes;

and if the non-standard working condition final use version exists, adjusting the process parameters according to the recommended process parameters of the non-standard working condition final use version.

if the nonstandard working condition codes cannot be inquired in the database, available recommended process parameters are not inquired;

determining whether the working condition fault code available marks in the non-standard working condition codes are all available, if the working condition fault code available marks in the non-standard working condition codes are all available, newly building a standard working condition design parameter scoring card corresponding to the non-standard working condition codes;

calculating according to the abnormal process parameters and a preset recommended value algorithm to obtain recommended process parameters, and storing the recommended process parameters in a standard working condition design parameter scoring card;

and determining the non-standard working condition version state of the non-standard working condition design parameter scoring card according to the product evaluation score of the production verification result of the recommended process parameter.

As shown in fig. 3, computer device 110 includes a processor 111, a memory 112, and computer readable instructions 113 stored in memory 112 and executable on processor 111. Processor 111, when executing computer readable instructions 113, performs the various steps of the abnormal operating condition based process parameter adjustment method.

Illustratively, the computer readable instructions 113 may be divided into one or more modules/units, which are stored in the memory 112 and executed by the processor 111 to accomplish the present application. One or more modules/units may be a series of computer-readable instruction segments capable of performing certain functions, the instruction segments describing the execution of the computer-readable instructions 113 in the computer device 110.

The computing device 110 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing devices. The computer device may include, but is not limited to, a processor 111, a memory 112. Those skilled in the art will appreciate that fig. 3 is merely an example of a computer device 110 and is not intended to limit computer device 110 and may include more or fewer components than those shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.

The Processor 111 may be a Central Processing Unit (CPU), other general purpose Processor, 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 device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 112 may be an internal storage unit of the computer device 110, such as a hard disk or a memory of the computer device 110. The memory 112 may also be an external storage device of the computer device 110, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device 110. Further, memory 112 may also include both internal and external storage for computer device 110. The memory 112 is used to store computer readable instructions and other programs and data required by the computer device. The memory 112 may also be used to temporarily store data that has been output or is to be output.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

In the embodiment of the application, the server may be an independent server, or may be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, Network service, cloud communication, middleware service, domain name service, security service, Content Delivery Network (CDN), big data, an artificial intelligence platform, and the like.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by the present application, and can also be realized by hardware related to computer readable instructions, which can be stored in a computer readable storage medium, and when the computer readable instructions are executed by a processor, the steps of the above described method embodiments can be realized. Wherein the computer readable instructions comprise computer readable instruction code which may be in source code form, object code form, an executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer-readable instruction code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

The present application further provides a computer-readable storage medium, which stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the method for adjusting process parameters based on abnormal operating conditions according to the embodiments is implemented.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.

The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. A technological parameter adjusting method based on abnormal working conditions is characterized by comprising the following steps:

acquiring a marker post working condition code;

generating a working condition fault code according to the abnormal process parameters, which specifically comprises the following steps: determining the number of abnormal production processes, the number of abnormal process parameters, the number of abnormal production processes and abnormal process parameter codes according to the abnormal process parameters; determining a parameter fault code according to the numerical value of the abnormal process parameter and the process parameter scoring card; acquiring available marks of working condition fault codes and address codes of an abnormal parameter database; generating the working condition fault code according to the abnormal number of the production process, the abnormal process parameter number, the abnormal production process number, the abnormal process parameter code, the parameter fault code, the working condition fault code available mark and the abnormal parameter database address code;

2. The method of claim 1, wherein said determining an abnormal process parameter from said process parameter and said process parameter scorecard comprises:

3. The method according to claim 1, wherein the abnormal process parameters include an unchangeable normal process parameter and a variable abnormal process parameter, wherein if the unchangeable normal process parameter exists before a production process, the working condition fault code available flag corresponding to the unchangeable abnormal process parameter is indicated as available, and if a predicted mean value of the variable abnormal process parameter is within a prediction interval range in a production stage, the working condition fault code available flag of the variable abnormal process parameter is indicated as available;

determining whether the abnormal process parameter is variable;

if the abnormal process parameters are the unchangeable normal process parameters, the parameter fault codes are generated according to the numerical values of the unchangeable normal process parameters and the process parameter score cards;

4. The method of claim 1 or 3, wherein determining a parameter fault code based on the value of the abnormal process parameter and the process parameter scorecard comprises:

5. The method of claim 1, wherein the non-standard condition codes comprise parameter fault codes and condition fault code available flags, the querying whether there are available recommended process parameters in a database according to the non-standard condition codes, and if there are available recommended process parameters, adjusting the process parameters according to the recommended process parameters, comprising:

6. The method of claim 1, after querying a database for whether recommended process parameters are available according to the non-standard operating condition code, further comprising:

if the non-standard working condition codes cannot be inquired in a database, the available recommended process parameters are searched;

7. A process parameter adjusting device based on abnormal working conditions is characterized by comprising the following components:

the first generating module is used for generating a working condition fault code according to the abnormal process parameter, and specifically comprises: determining the number of abnormal production processes, the number of abnormal process parameters, the number of abnormal production processes and the abnormal process parameter codes according to the abnormal process parameters; determining a parameter fault code according to the numerical value of the abnormal process parameter and the process parameter scoring card; acquiring available marks of working condition fault codes and address codes of an abnormal parameter database; generating the working condition fault code according to the abnormal number of the production process, the abnormal process parameter number, the abnormal production process number, the abnormal process parameter code, the parameter fault code, the working condition fault code available mark and the abnormal parameter database address code;

the second generating module is used for generating a nonstandard working condition code according to the working condition fault code and the benchmark working condition code;

8. A computer device comprising a memory, a processor and computer readable instructions stored in the memory and executable on the processor, wherein the processor executes the computer readable instructions to perform the steps of the abnormal operating condition based process parameter adjusting method according to any one of claims 1 to 6.

9. A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the steps of the abnormal operating condition based process parameter adjustment method according to any one of claims 1 to 6.