Control system and method for intelligent examination of industrial-grade still kettle

Abstract

The invention discloses a control system and method for an intelligent test of an industrial-grade still kettle. The control system comprises a teaching management module, an analog control module and an early warning correction module, relates to the technical field of test of still kettles, and solves the technical problem that a lot of time needs to be spent or test scores cannot be accurately obtained due to the fact that the score applied to an examination can only be scored by a teacher or the score of an examinee can only be judged by a still kettle control system according to a final answer. According to the method, the simulation state of the still kettle and the simulation operation of the examinee are obtained, the simulation operation of the examinee and the simulation state of the still kettle are respectively graded with the grading steps of the corresponding questions in the database, and each simulation operation of the examinee is automatically graded, so that a large amount of manpower and material resources can be saved; and the score is made according to the simulation operation of each step of the examinee and the actual simulation state of the reaction kettle, so that the actual level of the student can be better met.

Description

Technical Field

[0001] The present invention belongs to the field of teaching examinations, and relates to autoclave technology, and specifically to a control system and method for intelligent examinations of industrial-grade autoclaves. Background Art

[0002] In the industrial field, autoclave is a key equipment used to process materials under high temperature and high pressure, such as wood antiseptic treatment, rubber vulcanization, etc. In order to ensure the safety and efficiency of autoclave operation, operators need to receive professional training and assessment. At present, the examination of autoclave operators usually relies on a combination of actual operation and simulation examination.

[0003] Existing autoclave simulation control systems are all used in factories. When the autoclaves in the factory are used in the examinations of examinees, since the examinees are not familiar with the specific operations, it not only has a certain impact on the quality of the autoclave, but also has a certain risk. In addition, the autoclaves currently used in factories are not optimized for examination scoring. Therefore, the scoring currently used in the examination can only be done by teachers or the autoclave control system can only judge the examinee's score based on the final answer. Therefore, there is a situation where a lot of time is required or the examination score cannot be accurately obtained. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a control system and method for industrial-grade autoclave smart examinations, which are used to solve the technical problems that the current scoring in the examination can only be done by teachers or the autoclave control system can only judge the examinee's score based on the final answer, so there is a need to spend a lot of time or the test score cannot be accurately obtained. The present invention solves the above problems by obtaining the simulated state of the autoclave and the examinee's simulated operation, and respectively comparing the simulated operation of the examinee and the simulated state of the autoclave with the scoring steps of the corresponding questions in the database, and automatically scoring each simulated operation of the examinee.

[0005] To achieve the above-mentioned object, the first aspect of the present invention provides a control system for industrial autoclave smart examination, comprising: a teaching management module, a simulation control module, an early warning correction module and a database;

[0006] The teaching management module: obtains monitoring images; monitors the input account information and examinees based on the monitoring images; selects stage questions that meet the examinees' requirements from the database and sends them to the examinees' terminals; and,

[0007] Acquire the simulated state of the autoclave in real time, generate a test score according to the simulated operation and simulated state of the autoclave by the examinee and the scoring steps of the corresponding questions in the database, and store the test score in the database;

[0008] The simulation control module: performs corresponding simulation control on the autoclave according to the simulated operation of the examinee; records the simulated operation of the autoclave by the examinee, and generates a simulation state according to the simulated control of the autoclave;

[0009] The early warning correction module is used to determine whether the operating state of the autoclave is abnormal according to the simulation state; if yes, generate an early warning signal and adjust the autoclave according to the current simulation state; if no, continue to obtain the simulation state.

[0010] Preferably, the control system further includes a database;

[0011] The database is used to store the examinee's account information, face image, several test scores and the mapping relationship between the account information, face image and several test scores; and store several questions and the scoring steps corresponding to the questions.

[0012] Preferably, the monitoring of the input account information and the examinee based on the monitoring image includes:

[0013] Extract the account information entered by the examinee and match the account information entered by the examinee with the account information in the database; when the account information entered by the examinee has no matching result in the database, generate a monitoring result of the information mismatch signal; when the account information entered by the examinee has a matching result in the database, extract the face image according to the corresponding mapping relationship;

[0014] Extract surveillance images of the examinee during the exam, and extract the examinee image from the surveillance images; input the examinee image and the face image corresponding to the account information into the FaceNet model respectively, obtain the examinee feature vector and the face feature vector, and calculate the Euclidean distance between the examinee feature vector and the face feature vector;

[0015] The Euclidean distance is compared with a preset distance threshold; if the Euclidean distance is greater than the preset distance threshold, a monitoring result of an information-inconsistent signal is generated; otherwise, a monitoring result of an information-inconsistent signal is generated.

[0016] Preferably, the step of selecting a stage topic that matches the examinee from the database and sending it to the examinee's terminal includes:

[0017] Determine whether there is a test score in the corresponding account information in the database;

[0018] If yes, then the stage level to which the stage questions of the candidate's previous exam belonged is obtained, and the stage questions corresponding to the next stage level are obtained according to the stage level to which the stage questions of the candidate's previous exam belonged, and sent to the candidate's terminal;

[0019] If not, the first stage questions will be sent to the examinee's terminal;

[0020] Among them, the stage questions are divided by teachers in this area into multiple stage levels with a sequence of steps according to the teaching content and learning stage.

[0021] Preferably, generating a test score based on the examinee's simulated operation and simulated state of the autoclave includes:

[0022] S1: extract several operation steps and simulation states of the examinee's simulated operation on the autoclave, and mark the operation steps in sequence according to the sequence of the examinee's simulated operation on the autoclave, where i is a positive integer;

[0023] S2: Compare the operation step Li with the scoring step Bi in the database in order; obtain the step comparison result; wherein the comparison result is the same step and the different step;

[0024] S3: Score the operation step Li according to the comparison result to obtain the step score Fi, and sum up the scores of several steps to obtain the test score.

[0025] It should be noted that the step score Fi is obtained by the teacher based on the difficulty, importance and total score of the corresponding question of the operation step Li.

[0026] Preferably, scoring the operation step Li according to the comparison result comprises:

[0027] S31: Determine whether the comparison result of the operation step Li is the same step; if yes, jump to S32; if no, jump to S33;

[0028] S32: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, mark the step score Fi of the operation step Li as full score; if no, jump to S35;

[0029] S33: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, jump to S34; if no, mark the step score Fi of the operation step Li as 0 points;

[0030] S34: Determine whether there is a step score corresponding to the question that is the same as the operation step Li; if yes, mark the step score Fi of the operation step Li as full marks; if no, mark the step score Fi of the operation step Li as 0 points;

[0031] S35: Obtain the difference between each sub-data in the simulation state and the middle value of each group of data in the standard range state to obtain a difference set, and obtain the step score Fi according to the difference set and the comparison result.

[0032] Preferably, the step of obtaining the step score Fi according to the difference set and the comparison result includes:

[0033] Get each difference subset in the difference set and mark it as Ci, and use the formula Calculate the step score Fi; where n is the total number of difference subsets and is a positive integer; ωi is the weight coefficient corresponding to the difference subset Ci, Ffi is the score containing the operation step Li, and μ is the weight factor of the score of the operation step Li;

[0034] It should be noted that the weight coefficients ωi and μ corresponding to the difference subset Ci are set by the teacher according to the questions and operation steps Li.

[0035] Obtaining the test scores of candidates through the above-mentioned scoring method is more in line with the actual level of the candidates, reduces the possibility of misjudgment of candidates, and further improves the intelligence level of the test control system.

[0036] Furthermore, the simulated state includes but is not limited to the temperature, pressure and humidity in the autoclave.

[0037] Preferably, the corresponding simulation control of the autoclave according to the simulated operation of the examinee includes:

[0038] The operating instructions of the examinee are extracted, and the operating instructions of the examinee are converted into electrical signals through a D / A conversion circuit, and the control circuit of the autoclave is controlled by the electrical signals; wherein the D / A conversion circuit is a Siemens S7-200SMART PLC.

[0039] It should be noted that the signal of the autoclave can be identified by the PLC, and the switches of the valves of the autoclave can be controlled by the PLC, so the output end of the circuit is connected to the valves on the autoclave.

[0040] Preferably, judging whether the operating state of the autoclave is abnormal according to the simulation state includes:

[0041] Extract the simulated state of the autoclave after the operation step Li, and compare each sub-data of the simulated state with the corresponding warning range; when there is a sub-data exceeding the corresponding warning range, the operating state of the autoclave is marked as abnormal; when each sub-data is within the corresponding warning range, the operating state of the autoclave is marked as normal.

[0042] It should be noted that the same warning range is set by the teacher according to the bearing capacity of the autoclave and the question, and the warning range corresponding to each sub-data is higher than the standard range state.

[0043] In a second aspect, the present invention provides a control method for industrial-grade autoclave intelligent testing, comprising the following steps:

[0044] Step 1: Obtain surveillance images, and monitor the input account information and examinees based on the surveillance images;

[0045] Step 2: Select the stage questions that match the examinee from the database and send them to the examinee's terminal;

[0046] Step 3: Record the examinee's simulated operation of the autoclave, perform corresponding simulated control on the autoclave according to the examinee's simulated operation, generate a simulated state according to the simulated control of the autoclave, and obtain the simulated state of the autoclave in real time;

[0047] Step 4: judging whether the operation state of the autoclave is abnormal according to the simulation state; if yes, generating a warning signal, adjusting the autoclave according to the current simulation state, and stopping the test; if no, continuously acquiring the simulation state;

[0048] Step 5: Generate a test score based on the examinee's simulated operation and simulated state of the autoclave and the scoring steps of the corresponding questions in the database, and store the test score in the database.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. In the present invention, by obtaining the simulated state of the autoclave and the simulated operation of the examinee, the simulated operation of the examinee and the simulated state of the autoclave are respectively compared with the scoring steps of the corresponding questions in the database, and each simulated operation of the examinee is automatically scored. Compared with the prior art of manual scoring and machine scoring strictly according to the standard answer, it can not only save a lot of manpower and material resources, but also make scores according to each step of the examinee's simulated operation and the actual simulated state of the reactor, which can be more in line with the actual level of the students.

[0051] 2. In the present invention, account information is set for the examinee and the corresponding facial image is obtained, which can facilitate the matching and recording of the examinee information, and the monitoring image is obtained legally or under the premise of the examinee's permission. The examinee's image in the monitoring image is matched with the facial image corresponding to the account information in the database, so as to find out whether there is an abnormal phenomenon such as taking the exam for someone else. In this way, the authenticity of the examinee's score can be guaranteed, and it is convenient for teachers and examinees to check the subsequent test scores. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a schematic diagram of module connection in the present invention;

[0054] Figure 2 It is a schematic flow chart of the intelligent control method for industrial-grade autoclave testing of the present invention;

[0055] Figure 3 It is a logic judgment block diagram for scoring the operation step Li according to the comparison result in the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1-Figure 3 , the first aspect of the present invention provides a control system for industrial autoclave smart examination, including: a teaching management module, a simulation control module, an early warning correction module, a database and a database; Figure 1 As shown, the teaching management module is connected to the simulation control module and the database, the simulation control module is connected to the early warning correction module and the database, and the early warning correction module is connected to the database;

[0058] Teaching management module: obtain monitoring images through monitoring equipment; monitor the input account information and candidates based on the monitoring images; select the stage questions that meet the candidates' needs from the database and send them to the candidates' terminals; and,

[0059] Acquire the simulated state of the autoclave in real time, generate a test score according to the simulated operation and simulated state of the autoclave by the examinee and the scoring steps of the corresponding questions in the database, and store the test score in the database;

[0060] Simulation control module: perform corresponding simulation control on the autoclave according to the candidate's simulation operation; record the candidate's simulation operation on the autoclave, and generate simulation status according to the simulation control of the autoclave;

[0061] Early warning correction module: used to judge whether there is any abnormality in the operation state of the autoclave according to the simulation state; if yes, generate an early warning signal and adjust the autoclave according to the current simulation state; if no, continue to obtain the simulation state.

[0062] Database: used to store the examinee's account information, face images, several test scores, and the mapping relationship between the account information, face images, and several test scores; store several questions and the scoring steps corresponding to the questions.

[0063] Specifically, the autoclave is adjusted according to the current simulation state. For example, when the pressure in the autoclave is too high, the pressure can be appropriately released to ensure that the autoclave operates within a safe range. When the temperature in the autoclave is too high, the temperature can be lowered by stopping heating.

[0064] Furthermore, the input account information and examinees are monitored based on the surveillance images, including:

[0065] Extract the account information entered by the examinee, and match the account information entered by the examinee with the account information in the database; when the account information entered by the examinee has no matching result in the database, a detection result of an information mismatch signal is generated, which means that the examinee's account information is entered incorrectly or the examinee's account information does not exist in the database; when the account information entered by the examinee has a matching result in the database, extract the face image according to the mapping relationship corresponding to the account information in the database;

[0066] Extract surveillance images of the examinee during the exam, and extract the examinee image from the surveillance images; input the examinee image and the face image corresponding to the account information into the FaceNet model respectively, obtain the examinee feature vector and the face feature vector, and calculate the Euclidean distance between the examinee feature vector and the face feature vector;

[0067] The Euclidean distance is compared with a preset distance threshold; if the Euclidean distance is greater than the preset distance threshold, a monitoring result of an information-inconsistent signal is generated; otherwise, a monitoring result of an information-inconsistent signal is generated.

[0068] When extracting the candidate's image, surveillance images can be extracted at multiple random time points when the candidate is taking the test for monitoring, and multiple surveillance images can be obtained when obtaining the surveillance image at each time point, and images with clear facial information in the multiple surveillance images are input into the FaceNet model.

[0069] In order to automatically send the questions corresponding to the learning stage to the student terminal, the present embodiment selects the stage questions that meet the examinee's requirements from the database and sends them to the examinee terminal, specifically including:

[0070] Determine whether there is a test score in the corresponding account information in the database;

[0071] If yes, then the stage level to which the stage questions of the candidate's previous exam belonged is obtained, and the stage questions corresponding to the next stage level are obtained according to the stage level to which the stage questions of the candidate's previous exam belonged, and sent to the candidate's terminal;

[0072] If not, the first stage questions will be sent to the examinee's terminal;

[0073] Among them, the stage questions are divided by the teachers in this area according to the teaching content and learning stage into multiple stage levels with a sequence, and several questions can be randomly selected from the question bank.

[0074] In order to improve the accuracy and reliability of the examinee's scoring, the test score is generated according to the examinee's simulated operation and simulation status of the autoclave, including:

[0075] S1: extract several operation steps and simulation states of the examinee's simulated operation on the autoclave, and mark the operation steps in sequence according to the sequence of the examinee's simulated operation on the autoclave, where i is a positive integer;

[0076] S2: Compare the operation step Li with the scoring step Bi in the database in order; obtain the step comparison result; wherein the comparison result is the same step and the different step;

[0077] S3: Score the operation step Li according to the comparison result to obtain the step score Fi, and sum up the scores of several steps to obtain the test score.

[0078] By simulating the operation steps and using it as the basis for scoring the steps, both the manual scoring can be tailored to the actual situation of the examinees and the operation steps can be quickly scored.

[0079] The step score Fi is obtained by the teacher based on the difficulty, importance and total score of the corresponding question of the operation step Li.

[0080] In this embodiment, the operation step Li is scored according to the comparison result, including:

[0081] S31: Determine whether the comparison result of the operation step Li is the same step; if yes, jump to S32; if no, jump to S33;

[0082] S32: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, mark the step score Fi of the operation step Li as full score; if no, jump to S35;

[0083] S33: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, jump to S34; if no, mark the step score Fi of the operation step Li as 0 points;

[0084] S34: Determine whether there is a step score corresponding to the question that is the same as the operation step Li; if yes, mark the step score Fi of the operation step Li as full marks; if no, mark the step score Fi of the operation step Li as 0 points;

[0085] S35: Obtain the difference between each sub-data in the simulation state and the middle value of each group of data in the standard range state to obtain a difference set, and obtain the step score Fi according to the difference set and the comparison result.

[0086] The step score Fi obtained by the above method divides the candidate's operation steps into incorrect operations but correct results. This form of scoring can ensure that when scoring steps where the operation order is not important, even if the operation steps are disrupted, as long as it does not affect the result, the candidate can still obtain a normal score; at the same time, it can ensure that the candidate's operation is correct, but the candidate's control over the data is not accurate enough;

[0087] The way to obtain the step score Fi when the examinee's control of the data is not precise enough is: obtain the step score Fi based on the difference set comparison result, including:

[0088] Get each difference subset in the difference set and mark it as Ci, and use the formula Calculate the step score Fi; where n is the total number of difference subsets and is a positive integer; ωi is the weight coefficient corresponding to the difference subset Ci, Ffi is the score containing the operation step Li, and μ is the weight factor of the score of the operation step Li;

[0089] As mentioned above, the weight coefficients ωi and μ corresponding to the difference subset Ci are set by the teacher according to the questions and operation steps Li.

[0090] Obtaining the test scores of candidates through the above-mentioned scoring method is more in line with the actual level of the candidates, reduces the possibility of misjudgment of candidates, and further improves the intelligence level of the test control system.

[0091] Furthermore, the simulated state includes but is not limited to the temperature, pressure and humidity in the autoclave.

[0092] In this embodiment, the autoclave is simulated and controlled accordingly according to the simulated operation of the examinee, including:

[0093] The operating instructions of the examinee are extracted, and the operating instructions of the examinee are converted into electrical signals through a D / A conversion circuit, and the control circuit of the autoclave is controlled by the electrical signals; wherein the D / A conversion circuit is a Siemens S7-200SMART PLC.

[0094] It should be further explained in this embodiment that in order to ensure the safe operation of the autoclave model and to know the real-time status of the autoclave outside the device, it is necessary to connect the device with pressure and temperature sensors to monitor the real-time data in the autoclave, and to protect the autoclave safely through PLC. However, PLC can only accept two types of signals, digital and analog, so PLC needs to expand a module that can process the signal and transmit the information to PLC, which can identify the signal of the autoclave and control the switches of the valves on the autoclave through PLC. Therefore, the output end of the circuit is connected to the valves on the autoclave.

[0095] Specifically, judging whether the operation state of the autoclave is abnormal according to the simulation state includes:

[0096] Extract the simulated state of the autoclave after the operation step Li, and compare each sub-data of the simulated state with the corresponding warning range; when there is a sub-data exceeding the corresponding warning range, the operating state of the autoclave is marked as abnormal; when each sub-data is within the corresponding warning range, the operating state of the autoclave is marked as normal.

[0097] The warning range corresponding to each sub-data is higher than the standard range, which avoids alarms caused by small data fluctuations during the exam and affects the candidates' exams.

[0098] like Figure 2 As shown, in the second aspect, the present invention provides a control method for industrial-grade autoclave intelligent testing, comprising the following steps:

[0099] Step 1: Obtain surveillance images, and monitor the input account information and examinees based on the surveillance images;

[0100] Step 2: Select the stage questions that match the examinee from the database and send them to the examinee's terminal;

[0101] Step 3: Record the examinee's simulated operation of the autoclave, perform corresponding simulated control on the autoclave according to the examinee's simulated operation, generate a simulated state according to the simulated control of the autoclave, and obtain the simulated state of the autoclave in real time;

[0102] Step 4: judging whether there is any abnormality in the operation state of the autoclave according to the simulation state; if yes, generating a warning signal, adjusting the autoclave according to the current simulation state, stopping the test, and marking the test score of the examinee as 0 points; if no, jumping to step 3 to generate the simulation state according to the simulation control of the autoclave, so as to continuously obtain the simulation state;

[0103] Step 5: Generate a test score based on the examinee's simulated operation and simulated state of the autoclave and the scoring steps of the corresponding questions in the database, and store the test score in the database.

[0104] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0105] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A control system for industrial autoclave intelligent testing, characterized in that: include: Teaching management module, simulation control module and early warning correction module; The teaching management module: acquiring monitoring images; Monitor input account information and examinees based on surveillance images; Select the stage questions that match the examinee from the database and send them to the examinee's terminal; as well as, Acquire the simulated state of the autoclave in real time, generate a test score according to the simulated operation and simulated state of the autoclave by the examinee and the scoring steps of the corresponding questions in the database, and store the test score in the database; The simulation control module: performs corresponding simulation control on the autoclave according to the simulated operation of the examinee; records the simulated operation of the autoclave by the examinee, and generates a simulation state according to the simulated control of the autoclave; The early warning correction module is used to determine whether the operation state of the autoclave is abnormal according to the simulation state; If yes, a warning signal is generated and the autoclave is adjusted according to the current simulation status; If not, continue to get the simulation status.

2. A control system for industrial autoclave intelligent testing according to claim 1, characterized in that: The monitoring of the input account information and examinee based on the monitoring image includes: Extract the account information entered by the examinee and match the account information entered by the examinee with the account information in the database; when the account information entered by the examinee has no matching result in the database, generate a monitoring result of the information mismatch signal; when the account information entered by the examinee has a matching result in the database, extract the face image according to the corresponding mapping relationship; Extract surveillance images of the examinee during the exam, and extract the examinee image from the surveillance images; input the examinee image and the face image corresponding to the account information into the FaceNet model respectively, obtain the examinee feature vector and the face feature vector, and calculate the Euclidean distance between the examinee feature vector and the face feature vector; The Euclidean distance is compared with a preset distance threshold; if the Euclidean distance is greater than the preset distance threshold, a monitoring result of an information-inconsistent signal is generated; otherwise, a monitoring result of an information-inconsistent signal is generated.

3. A control system for industrial autoclave intelligent testing according to claim 1, characterized in that: The step of selecting a stage topic that matches the examinee from the database and sending it to the examinee's terminal includes: Determine whether there is a test score in the corresponding account information in the database; If yes, then the stage level to which the stage questions of the candidate's previous exam belonged is obtained, and the stage questions corresponding to the next stage level are obtained according to the stage level to which the stage questions of the candidate's previous exam belonged, and sent to the candidate's terminal; If not, the first stage questions will be sent to the examinee's terminal; Among them, stage questions are divided into multiple stage levels with a sequence according to the teaching content and learning stage.

4. A control system for industrial autoclave intelligent testing according to claim 1, characterized in that: The test score is generated according to the examinee's simulated operation and simulated state of the autoclave, including: S1: extract several operation steps and simulation states of the examinee's simulated operation on the autoclave, and mark the operation steps in sequence according to the sequence of the examinee's simulated operation on the autoclave, where i is a positive integer; S2: Compare the operation step Li with the scoring step Bi in the database in order; obtain the step comparison result; wherein the comparison result is the same step and the different step; S3: Score the operation step Li according to the comparison result to obtain the step score Fi, and sum up the scores of several steps to obtain the test score.

5. A control system for industrial autoclave intelligent testing according to claim 4, characterized in that: The step of scoring the operation step Li according to the comparison result comprises: S31: Determine whether the comparison result of the operation step Li is the same step; if yes, jump to S32; if no, jump to S33; S32: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, mark the step score Fi of the operation step Li as full score; if no, jump to S35; S33: Determine whether the simulation state after the operation step Li is within the standard range state in the database; if yes, jump to S34; if no, mark the step score Fi of the operation step Li as 0 points; S34: Determine whether there is a step score corresponding to the question that is the same as the operation step Li; if yes, mark the step score Fi of the operation step Li as full marks; if no, mark the step score Fi of the operation step Li as 0 points; S35: Obtain the difference between each sub-data in the simulation state and the middle value of each group of data in the standard range state to obtain a difference set, and obtain the step score Fi according to the difference set and the comparison result.

6. A control system for industrial autoclave intelligent testing according to claim 5, characterized in that: The step of obtaining the step score Fi according to the difference set and the comparison result includes: Get each difference subset in the difference set and mark it as Ci, and use the formula Calculate the step score Fi; where n is the total number of difference subsets and is a positive integer; ωi is the weight coefficient corresponding to the difference subset Ci, Ffi is the score containing the operation step Li, and μ is the weight factor of the score of the operation step Li.

7. A control system for industrial autoclave intelligent testing according to claim 1, characterized in that: The corresponding simulation control of the autoclave according to the simulated operation of the examinee includes: The operating instructions of the examinee are extracted, converted into electrical signals through the D / A conversion circuit, and the control circuit of the autoclave is controlled by the electrical signals.

8. The control system for industrial autoclave intelligent testing according to claim 1, characterized in that: According to the simulation status, determine whether the operation status of the autoclave is abnormal, including: Extract the simulated state of the autoclave after the operation step Li, and compare each sub-data of the simulated state with the corresponding warning range; when there is a sub-data exceeding the corresponding warning range, the operating state of the autoclave is marked as abnormal; when each sub-data is within the corresponding warning range, the operating state of the autoclave is marked as normal.

9. A control method for industrial autoclave intelligent testing, characterized in that: The following steps are involved: Step 1: Obtain surveillance images, and monitor the input account information and examinees based on the surveillance images; Step 2: Select the stage questions that match the examinee from the database and send them to the examinee's terminal; Step 3: Record the examinee's simulated operation of the autoclave, perform corresponding simulated control on the autoclave according to the examinee's simulated operation, generate a simulated state according to the simulated control of the autoclave, and obtain the simulated state of the autoclave in real time; Step 4: judging whether the operation state of the autoclave is abnormal according to the simulation state; If yes, a warning signal is generated and the autoclave is adjusted according to the current simulation state; if no, the simulation state is continuously acquired; Step 5: Generate a test score based on the examinee's simulated operation and simulated state of the autoclave and the scoring steps of the corresponding questions in the database, and store the test score in the database.

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