A sterile environment intelligent purification control system and method

Abstract

This invention relates to the field of aseptic purification technology, and discloses an intelligent purification control system and method for aseptic environments. The system includes an identity recognition module for identifying the operator's identity and generating personal identity information before the operator enters the aseptic workshop; a trajectory acquisition module for retrieving the movement trajectory information corresponding to the personal identity information from a database within a preset time period; an analysis module for identifying and analyzing the places traversed by the movement trajectory information to determine whether the operator has visited a preset high-risk scene within the preset time period, and retrieving the corresponding purification strategy from the database based on the determination result; and an execution module for performing corresponding purification operations on the operator according to the corresponding purification strategy. This solution can solve the problem in the prior art where the same purification strategy is used for different operators, resulting in inconsistent purification effects.

Description

Technical Field

[0001] This invention relates to the field of aseptic purification technology, specifically to an intelligent purification control system and method for aseptic environments. Background Technology

[0002] As various industries continue to develop, the requirements for cleanliness in operating workshops are becoming increasingly stringent. Due to the high environmental requirements, the corresponding operating workshops need to maintain a sterile state.

[0003] Existing aseptic workshops refer to specially designed rooms that eliminate contaminants such as microparticles, harmful air, and bacteria within a defined space, and control indoor temperature, cleanliness, indoor pressure, airflow speed and distribution, noise and vibration, lighting, and static electricity within a specific range. In other words, regardless of changes in external air conditions, the room can maintain the originally set requirements for cleanliness, temperature, humidity, and pressure.

[0004] When entering a sterile workshop, operators typically need to undergo decontamination to remove any bacteria they carry, ensuring they meet the cleanliness requirements for entry. However, existing sterile workshop decontamination systems often employ the same strategy. Since different operators have passed through different areas before entering the sterile workshop, the amount of bacteria they carry and the difficulty of decontamination vary. Therefore, using the same decontamination strategy can lead to inconsistent decontamination results. Summary of the Invention

[0005] The present invention aims to provide an intelligent purification control system and method for sterile environments, which can solve the problem in the prior art that the same purification strategy is used for different operators, resulting in inconsistent purification effects.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent purification and control system for a sterile environment, comprising:

[0007] The identity recognition module is used to identify the operator's identity before the operator enters the sterile workshop and generate corresponding personal identity information;

[0008] The trajectory acquisition module is used to retrieve the movement trajectory information corresponding to the generated personal identity information from the database within a preset time period;

[0009] The analysis module is used to identify and analyze the places the action trajectory information has passed through based on the acquired action trajectory information, determine whether the operator has been to the preset high-risk scene within a preset time, and retrieve the corresponding purification strategy from the database based on the corresponding judgment result.

[0010] The execution module is used to perform corresponding purification operations on the operators according to the corresponding purification strategy.

[0011] The principle and advantages of this solution are as follows: Before an operator enters the sterile workshop, their identity is first identified, generating corresponding personal identification information. This allows the system to know the true identity of the operator entering the sterile workshop. Then, based on this personal identification information, the system retrieves the operator's movement trajectory information from the database within a preset time period. This movement trajectory information can then be used to identify and analyze the places the operator visited before entering the sterile workshop. For example, it can identify whether the operator visited places with high bacterial counts, such as garbage dumps, or places where bacteria are difficult to remove. These are considered preset high-risk scenarios. Based on the corresponding judgment results, appropriate purification strategies are invoked, resulting in more targeted sterilization of the operator. This not only improves the purification effect and avoids the problem of poor purification of operators leading to contamination of the sterile workshop, but also greatly improves the effectiveness of purification by applying different purification strategies to operators who have visited different scenarios.

[0012] Current technologies use a single purification method for the purification of operators entering aseptic workshops. However, this standardized method has some shortcomings in the aseptic purification of operators. For example, the amount of bacteria or dust carried by operators who have been to different environments varies, and the purification difficulty of each environment also varies. If the purification method is singular, either the purification effect of some operators will be insufficient, causing contamination of the aseptic workshop, or the operators will be over-purified, which is not only a waste of purification resources but also unscientific.

[0013] In this application, the operator's movement trajectory information is identified and analyzed before the operation to quickly determine whether the places the operator has been to are preset high-risk scenarios. Then, based on the corresponding judgment results, the corresponding purification strategy is invoked. In this way, different operators are distinguished, and the purification of operators is more targeted and the purification effect is better. Through this targeted purification method, the purification effect is maximized, and the scope of application of purification is expanded. It can solve the problem of inconsistent purification effects caused by using the same purification strategy for different operators in the existing technology.

[0014] Preferably, as an improvement, it also includes:

[0015] The purification inspection module is used to perform bacterial testing on operators after the purification operation is completed and generate corresponding bacterial purification values.

[0016] The information acquisition module is used to identify and acquire the installation location information of the current sterile workshop, the type of the corresponding sterile workshop, and the number of personnel in the current sterile workshop after generating the corresponding bacterial purification value.

[0017] The judgment module is used to calculate the bacterial purification threshold corresponding to the current operator based on the obtained installation location information of the current sterile workshop, the corresponding type of sterile workshop, and the number of personnel in the current sterile workshop. The bacterial purification value is compared with the bacterial purification threshold. If the bacterial purification value is less than the bacterial purification threshold, the purification operation is judged to be feasible and the operator can enter. Otherwise, the purification operation is judged to be failed and the operator cannot enter.

[0018] The alarm module is used to issue an alarm when the determination result is that the purification operation has failed and operators are not allowed to enter.

[0019] Beneficial effects: In this solution, the overall purification effect after the purification operation is evaluated first. It is not that the operator can directly enter after completing the purification operation. The purification effect, namely the bacterial purification value, is compared with the bacterial purification threshold. Only when the corresponding bacterial purification value is less than the bacterial purification threshold can the purification operation be considered successful and feasible, and only then can the operator be allowed to enter.

[0020] Furthermore, the bacterial purification threshold is not fixed when used. It changes constantly based on the installation location and type of the sterile workshop, as well as the number of personnel within it. Different installation locations have different requirements; for example, installations in areas prone to bacterial growth require higher purification standards, otherwise, bacterial growth may occur even after purification. The number of personnel also has an impact; more personnel necessitates higher purification requirements. This continuous adjustment of the bacterial purification threshold creates uncertainty, meaning it is dynamic, not static, and calculated based on data such as the number of personnel, installation location, and type. This makes the bacterial purification threshold more targeted, leading to more accurate and reasonable judgments about the success of purification operations. This significantly improves the accuracy of judgments and better prevents operators who have not met purification standards from entering the sterile workshop and causing contamination.

[0021] Preferably, as an improvement, it also includes a storage module for pre-storing the corresponding standard local information database and scene determination rules; the standard local information database includes various types of standard local information.

[0022] The analysis module includes:

[0023] The location identification module is used to identify the locations visited by the acquired movement trajectory information within a preset time period and generate a corresponding location information set.

[0024] The matching module is used to match the identified local information set with various standard local information in the standard local information database to obtain the corresponding standard local information.

[0025] The scene recognition module is used to identify the scene information that the operator has visited based on the matched standard location information and scene determination rules;

[0026] The strategy invocation module is used to determine the scenario with the highest risk coefficient among the identified scenario information, and retrieve the purification strategy corresponding to the scenario with the highest risk coefficient from the database.

[0027] Beneficial effects: In this solution, after identifying the operator's movement trajectory information, this trajectory information is then processed to identify the locations the operator has visited within a preset time period, generating corresponding location information sets, such as ABCD. After obtaining the locations visited by the operator, this location information can be matched with various standard location information in the standard location information database to obtain the corresponding standard location information. Then, based on these matched standard location information and scene determination rules, scene information can be identified. Through this identification step, the scenes visited by the operator within the preset time period can be preliminarily determined, and the scene information with the highest risk factor can be identified among the many identified scene information. Based on this scene information, the corresponding purification strategy can be retrieved.

[0028] In this solution, the storage module stores standard local information and scenario-based rules, making the retrieval of purification strategies faster and more accurate.

[0029] Preferably, as an improvement, the analysis module further includes a strategy adjustment module, which is used to dynamically adjust the purification operation in the purification strategy according to the current number of personnel in the sterile workshop after retrieving the purification strategy corresponding to the scenario information with the highest risk factor.

[0030] Beneficial effects: This solution primarily considers that as the number of personnel in the aseptic workshop increases, the likelihood of bacterial growth also increases. After all, the movement and number of personnel can lead to bacterial growth. Therefore, the requirements for newly entering operators will be higher, and the purification operations in the purification strategy will be dynamically adjusted. For example, operation A normally only needs to be performed once for 1 minute, but due to the increase in the number of personnel, operation A may become performed twice for 2 minutes. This dynamic adjustment of the purification operations in the purification strategy can avoid the problem of the aseptic workshop being greatly increased by the continuous increase in the number of personnel.

[0031] Preferably, as an improvement, the trajectory acquisition module is further configured to crawl social network information corresponding to the personal identity information from the server based on the personal identity information; the social network information includes social photos;

[0032] The location identification module includes:

[0033] The first identification module is used to identify the places visited by the movement trajectory information in the database within a preset time period, and generate the corresponding first location information set.

[0034] The second recognition module is used to identify the corresponding places in the corresponding social photos and generate a corresponding second place information set.

[0035] The local information integration module is used to match the first local information set and the second local information set one by one, and delete duplicate local information between the first local information set and the second local information set to form a new local information set.

[0036] Beneficial effects: In this solution, the raw data of the places visited by the corresponding operators not only includes the operators' movement trajectory information in the database, but also their social network information on social networks. By identifying these two types of information, the places visited by the operators can be identified and determined more comprehensively. This is beneficial for the subsequent deployment of purification strategies and can ensure that the purification strategies corresponding to the operators are accurate and true.

[0037] Preferably, as an improvement, it also includes a personnel association module, which is used to associate the personal identity information of other operators with similar personal identity information with the personal identity information based on the personal identity information of the operator when the trajectory acquisition module does not obtain the movement trajectory information corresponding to the personal identity information within a preset time.

[0038] The substitution module is used to obtain the movement trajectory information of other operators within a preset time period based on the personal identity information of the operator associated with the operator's personal identity information, and to form the operator's movement trajectory information.

[0039] Beneficial Effects: In this solution, considering that an operator may not have corresponding movement trajectory information when entering the sterile workshop, a correlation module is used to link various operators. Specifically, other operators with similar personal identification information are associated with the current operator. When the current operator's movement trajectory information cannot be obtained, the movement trajectory information of other associated operators is retrieved to replace the current operator's movement trajectory information. In this way, the purification strategy for the current operator can be selected. Operators with similar personal identification information have largely the same movement trajectory. This correlation method greatly improves the speed and effectiveness of identifying the places the operator has passed through.

[0040] This invention also provides a method for intelligent purification and control of a sterile environment, comprising the following steps:

[0041] S1. Before an operator enters the sterile workshop, the operator's identity is identified and corresponding personal identification information is generated;

[0042] S2. Based on the generated personal identity information, retrieve the movement trajectory information corresponding to the personal identity information within a preset time period from the database;

[0043] S3. Based on the obtained movement trajectory information, identify and analyze the places the movement trajectory information has passed through, determine whether the operator has been to the preset high-risk scene within the preset time, and retrieve the corresponding purification strategy from the database according to the corresponding judgment result.

[0044] S4. Perform corresponding purification operations on the operators according to the corresponding purification strategy.

[0045] The principle and effects of this solution: In this solution, before operators enter the sterile workshop, their identities are first identified, generating corresponding personal identification information. This allows us to know the true identity of the operators entering the sterile workshop. Then, based on the personal identification information, we retrieve the corresponding movement trajectory information of that individual within a preset time period from the database. We can then identify and analyze the places the operator visited before entering the sterile workshop, such as whether they visited places with high bacterial counts or areas where bacteria are difficult to remove. These are considered preset high-risk scenarios. Based on the corresponding judgment results, appropriate purification strategies are invoked, thus providing more targeted sterilization for operators. This not only improves the purification effect and avoids the problem of poor purification for operators entering the workshop leading to contamination, but also greatly improves the effectiveness of purification by applying different purification strategies to operators who have visited different scenarios.

[0046] In this application, the operator's movement trajectory information is identified and analyzed before the operation to quickly determine whether the places the operator has been to are preset high-risk scenarios. Then, based on the corresponding judgment results, the corresponding purification strategy is invoked. In this way, different operators are distinguished, and the purification of operators is more targeted and the purification effect is better. Through this targeted purification method, the purification effect is maximized, and the scope of application of purification is expanded. It can solve the problem of inconsistent purification effects caused by using the same purification strategy for different operators in the existing technology. Attached Figure Description

[0047] Figure 1 This is a logic block diagram of the aseptic environment intelligent purification control system in Embodiment 1 of the present invention.

[0048] Figure 2 This is a flowchart of the intelligent purification and control method for a sterile environment in Embodiment 1 of the present invention. Detailed Implementation

[0049] The following detailed description illustrates the specific implementation method:

[0050] The basic implementation examples are as follows: Figure 1 As shown: A sterile environment intelligent purification control system, comprising:

[0051] The identity recognition module is used to identify the operator's identity before the operator enters the sterile workshop and generate corresponding personal identity information;

[0052] The trajectory acquisition module is used to retrieve the movement trajectory information corresponding to the generated personal identity information within a preset time period from the database; it is also used to crawl the social network information corresponding to the personal identity information from the server; the social network information includes social photos; in this embodiment, after recognizing the operator's personal identity information, the system knows the operator's identity and can retrieve all the operator's movement trajectory information from the database based on this personal identity information. Considering timeliness, the movement trajectory information within a preset time period will be captured. In addition, the system will also crawl the social network information corresponding to the personal identity information from the server, such as photos from the operator's WeChat Moments.

[0053] It also includes a personnel association module, which is used to associate the personal identity information of other operators with similar personal identity information with the personal identity information of the operator when the trajectory acquisition module does not obtain the movement trajectory information corresponding to the personal identity information within a preset time.

[0054] The substitution module is used to obtain the movement trajectory information of other operators within a preset time period based on the personal identity information of the operator associated with the operator's personal identity information, and to form the operator's movement trajectory information.

[0055] When operators enter a facility without corresponding movement tracking information in the database, to prevent the inability to analyze movement tracking data from preventing the application of accurate purification strategies and thus causing purification failures and contamination of the sterile workshop, a system of linking operators is implemented immediately. For example, if operators A and B are colleagues, their movement tracking is likely to be largely the same. Therefore, operators B can be linked to A. If the movement tracking data of one operator cannot be obtained, the movement tracking data of other associated operators can be directly retrieved. This method of linking operators enables rapid and accurate acquisition of individual operator movement tracking.

[0056] The analysis module is used to identify and analyze the places the action trajectory information has passed through based on the acquired action trajectory information, determine whether the operator has been to the preset high-risk scene within a preset time, and retrieve the corresponding purification strategy from the database based on the corresponding judgment result.

[0057] The analysis module includes:

[0058] The location identification module is used to identify the locations visited by the acquired movement trajectory information within a preset time period and generate a corresponding location information set.

[0059] The matching module is used to match the identified local information set with various standard local information in the standard local information database to obtain the corresponding standard local information.

[0060] The scene recognition module is used to identify the scene information that the operator has visited based on the matched standard location information and scene determination rules;

[0061] The strategy adjustment module is used to dynamically adjust the purification operations within the purification strategy based on the current number of personnel in the aseptic workshop after retrieving the purification strategy corresponding to the scenario with the highest risk factor. In this embodiment, for newly entering operators, the entire system adjusts the purification strategy according to the change in the total number of personnel in the aseptic workshop after the operator's entry. Specifically, the more people there are, the greater the degree of purification required for the corresponding operation. For example, operation A normally only needs to be performed once for 1 minute, but due to the increase in the number of personnel, operation A may become performed twice for 2 minutes. This dynamic adjustment of the purification operations in the purification strategy can prevent the aseptic workshop from becoming significantly more contaminated as the number of personnel increases.

[0062] The strategy invocation module is used to retrieve the corresponding purification strategy from the database based on the identified scenario information.

[0063] The local identification module includes:

[0064] The first identification module is used to identify the places visited by the movement trajectory information in the database within a preset time period, and generate the corresponding first location information set.

[0065] The second recognition module is used to identify the corresponding places in the corresponding social photos and generate a corresponding second place information set.

[0066] The local information integration module is used to match the first local information set and the second local information set one by one, and delete duplicate local information between the first local information set and the second local information set to form a new local information set.

[0067] In this embodiment, by identifying movement trajectory information, the locations visited by the operator within a preset time period can be identified to form a first set of location information, such as A, B, C, and D. At the same time, locations within social photos are identified to obtain a second set of location information, such as A, C, and F. When integrating the location information, duplicates A and C are removed, resulting in the final set of location information A, B, C, D, and F. This allows for better integration of information on the locations visited by the operator, avoiding resource waste and making the integrated information more intuitive and convenient.

[0068] In this embodiment, the standard local information database includes various standard local information. By using preset standard local information, the identified local information set is matched. This allows us to know which standard local information corresponds to each local information in the identified local information set. Then, based on the matched standard local information and the corresponding scene determination rules, the scene information visited by the operator can be identified. For example, the local information set corresponding to operator A is A, B, C, D, and F. By matching it with multiple standard local information in the standard information database, we know that standard local information a corresponds to A, b corresponds to B, c corresponds to C, d corresponds to D, and f corresponds to F. Specifically, assuming A is a certain hospital, then standard local information a is a high-risk area such as a hospital. Then, the matched standard local information is identified by the scene determination rules to determine the scene information.

[0069] For example, the scene determination rule is:

[0070] Standard local information Scene information A, B, C High-risk public scenarios D, F High-risk private scenarios H, R, T Typical risk scenarios Q, O, P Low-risk public scenarios J, I, L Low-risk private scenarios

[0071] The execution module is used to perform corresponding purification operations on the operators according to the corresponding purification strategy. In this embodiment, multiple purification strategies are set, and different purification strategies correspond to different scenario information. For example, the purification operation corresponding to purification strategy AA includes operations a1, a2, a3, and a4, while the purification strategy corresponding to purification strategy BB may be the same as AA. The only difference may be that one of the operations is different, such as executing operation a1 twice before executing the next operation.

[0072] The storage module is used to pre-store the corresponding standard local information database and scenario determination rules; the standard local information database includes various types of standard local information.

[0073] The purification inspection module is used to perform bacterial testing on operators after the purification operation is completed and generate corresponding bacterial purification values.

[0074] The information acquisition module is used to identify and acquire the installation location information of the current sterile workshop, the type of the corresponding sterile workshop, and the number of personnel in the current sterile workshop after generating the corresponding bacterial purification value.

[0075] The judgment module is used to calculate the bacterial purification threshold corresponding to the current operator based on the obtained installation location information of the current sterile workshop, the corresponding sterile workshop type, and the number of personnel in the current sterile workshop. The bacterial purification value is compared with the bacterial purification threshold. If the bacterial purification value is less than the bacterial purification threshold, the purification operation is judged to be feasible and the operator can enter. Otherwise, the purification operation is judged to be failed and the operator cannot enter.

[0076] The alarm module is used to issue an alarm when the determination result is that the purification operation has failed and operators are not allowed to enter.

[0077] In this embodiment, after the operator completes the corresponding purification operation, the purification effect is verified to ensure its effectiveness. Specifically, bacterial testing is first performed on the operator to collect data on the purification effect and obtain the corresponding bacterial purification value. Then, the installation location information of the current aseptic workshop, the type of aseptic workshop, and the number of personnel in the current aseptic workshop are acquired. This data is used to calculate the bacterial purification threshold. In this embodiment, a backpropagation (BP) neural network is used to calculate and predict the bacterial purification threshold. Specifically, a three-layer BP neural network model is first established, including an input layer, a hidden layer, and an output layer. In this embodiment, the input layer takes into account the installation location information of the current aseptic workshop, the type of aseptic workshop, the number of personnel in the current aseptic workshop, the operator's entry time, and the purification strategy; therefore, the input layer has 5 nodes. The output is the bacterial purification threshold; therefore, the output has 1 node. For the hidden layer, this embodiment uses the following formula to determine the number of hidden layer nodes: Where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, and a is a number between 1 and 10, which is taken as 6 in this embodiment. Therefore, there are 8 nodes in the hidden layer. Backpropagation (BP) neural networks typically use the sigmoid differentiable function and linear functions as the network's activation functions. This paper selects the sigmoid tangent function (tansig) as the activation function for the hidden layer neurons. The prediction model selects the sigmoid logarithmic function (tansig) as the activation function for the output layer neurons.

[0078] like Figure 2 As shown, in addition to the above-mentioned intelligent purification control system for a sterile environment, this embodiment also provides an intelligent purification control method for a sterile environment, including the following steps:

[0079] S1. Before an operator enters the sterile workshop, the operator's identity is identified and corresponding personal identification information is generated;

[0080] S2. Based on the generated personal identity information, retrieve the movement trajectory information corresponding to the personal identity information within a preset time period from the database;

[0081] S3. Based on the obtained movement trajectory information, identify and analyze the places the movement trajectory information has passed through, determine whether the operator has been to the preset high-risk scene within the preset time, and retrieve the corresponding purification strategy from the database according to the corresponding judgment result.

[0082] S4. Perform corresponding purification operations on the operators according to the corresponding purification strategy.

[0083] The above descriptions are merely embodiments of the present invention, and common knowledge such as specific technical solutions and / or characteristics are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solutions of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A sterile environment intelligent purification control system, characterized in that: The identity recognition module is used to identify the operator's identity and generate corresponding personal identity information before the operator enters the sterile workshop; The trajectory acquisition module is used to retrieve the movement trajectory information corresponding to the generated personal identity information from the database within a preset time period; The analysis module is used to identify and analyze the places the action trajectory information has passed through based on the acquired action trajectory information, determine whether the operator has been to the preset high-risk scene within a preset time, and retrieve the corresponding purification strategy from the database based on the corresponding judgment result. The execution module is used to perform corresponding purification operations on the operators according to the corresponding purification strategy. Also includes: The purification inspection module is used to perform bacterial testing on operators after the purification operation is completed and generate corresponding bacterial purification values. The information acquisition module is used to identify and acquire the installation location information of the current sterile workshop, the type of the corresponding sterile workshop, and the number of personnel in the current sterile workshop after generating the corresponding bacterial purification value. The judgment module is used to calculate the bacterial purification threshold corresponding to the current operator based on the obtained installation location information of the current sterile workshop, the corresponding type of sterile workshop, and the number of personnel in the current sterile workshop. The bacterial purification value is compared with the bacterial purification threshold. If the bacterial purification value is less than the bacterial purification threshold, the purification operation is judged to be feasible and the operator can enter. Otherwise, the purification operation is judged to be failed and the operator cannot enter. The alarm module is used to issue an alarm when the determination result is that the purification operation has failed and operators are not allowed to enter. The analysis module includes: The location identification module is used to identify the locations visited by the acquired movement trajectory information within a preset time period and generate a corresponding location information set. The trajectory acquisition module is also used to crawl social network information corresponding to the personal identity information from the server based on the personal identity information; the social network information includes social photos; The location identification module includes: The first identification module is used to identify the places visited by the movement trajectory information in the database within a preset time period, and generate the corresponding first location information set. The second recognition module is used to identify the corresponding places in the corresponding social photos and generate a corresponding second place information set. The local information integration module is used to match the first local information set and the second local information set one by one, and delete duplicate local information between the first local information set and the second local information set to form a new local information set.

2. The aseptic environment intelligent purification control system according to claim 1, characterized in that: It also includes a storage module for pre-storing the corresponding standard local information database and scenario determination rules; the standard local information database includes various standard local information. The analysis module also includes: The matching module is used to match the identified local information set with various standard local information in the standard local information database to obtain the corresponding standard local information. The scene recognition module is used to identify the scene information that the operator has visited based on the matched standard location information and scene determination rules; The strategy invocation module is used to retrieve the corresponding purification strategy from the database based on the identified scenario information.

3. The aseptic environment intelligent purification control system according to claim 2, characterized in that: The analysis module also includes a strategy adjustment module, which is used to dynamically adjust the purification operation in the purification strategy based on the number of personnel in the current sterile workshop after retrieving the purification strategy corresponding to the scenario information with the highest risk factor.

4. The aseptic environment intelligent purification control system according to claim 1, characterized in that: It also includes a personnel association module, which is used to associate the personal identity information of other operators with similar personal identity information with the personal identity information of the operator when the trajectory acquisition module does not obtain the movement trajectory information corresponding to the personal identity information within a preset time. The substitution module is used to obtain the movement trajectory information of other operators within a preset time period based on the personal identity information of the operator associated with the operator's personal identity information, and to form the operator's movement trajectory information.

5. A method for intelligent purification control of a sterile environment, applicable to the intelligent purification control system for a sterile environment as described in any one of claims 1-4, characterized in that: Includes the following steps: S1. Before an operator enters the sterile workshop, the operator's identity is identified and corresponding personal identification information is generated; S2. Based on the generated personal identity information, retrieve the movement trajectory information corresponding to the personal identity information within a preset time period from the database; S3. Based on the obtained movement trajectory information, identify and analyze the places the movement trajectory information has passed through, determine whether the operator has been to the preset high-risk scene within the preset time, and retrieve the corresponding purification strategy from the database according to the corresponding judgment result. S4. Perform corresponding purification operations on the operators according to the corresponding purification strategy.

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