Intelligent grading management and control method and system for hemp essence medicine
Through intelligent hierarchical management and control methods, dynamic adjustment of narcotic drug storage and disturbance cabinets, combined with deep neural networks to predict usage frequency, the error risks and traceability difficulties in traditional narcotic drug management are solved, and the refinement of drug management and improvement of safety are achieved.
Patent Information
- Application Number
- CN202510927240.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-10-10
AI Technical Summary
Traditional narcotic drug management relies on manual operations, which carries the risk of errors and cannot achieve refined management and control. In addition, there is a lack of comprehensive assessment of the health status and frequency of use of medicine cabinets, leading to security vulnerabilities and traceability difficulties.
An intelligent hierarchical management and control method is adopted. By obtaining department data and cabinet information, using the disturbance cabinet quantity adjustment formula and comprehensive scoring formula, storage and disturbance cabinets are dynamically adjusted, and the LSTM deep neural network is combined to predict the frequency of use to achieve double password verification and real-time blocking.
It achieves refined control of drug management, reduces security vulnerabilities, improves the safety and traceability of the drug collection process, and meets the convenience needs of high-frequency departments and the safety needs of high-risk departments.
Smart Images
Figure CN120766907A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of drug management, and particularly relates to an intelligent hierarchical management method and system for narcotic drugs. BACKGROUND
[0002] With the rapid development of medical and health undertakings, the requirements of hospitals and medical institutions for narcotic drug (narcotic drug and psychotropic drug) management are increasingly strict. Traditional narcotic drug management relies on manual registration, key cabinet opening and paper account book, and there are problems such as confusion in post handover, inconsistency between accounts and reality, and difficulty in real-time monitoring of security vulnerabilities. On the one hand, manual operation is prone to errors, and it is difficult to implement fine management and control on the whole process of drug taking and storage. On the other hand, it is difficult to trace the source in the process of drug management accident or after the accident. In addition, there is a lack of comprehensive evaluation of the health status, historical abnormal early warning factors and future use frequency of each electronic narcotic cabinet, resulting in lack of pertinence in cabinet selection and inability to fully exert the intelligent advantages of the equipment. SUMMARY
[0003] In order to overcome the difficulty in the process of tracing the source in the process of drug management accident or after the accident, the present application provides an intelligent hierarchical management method and system for narcotic drugs.
[0004] The technical implementation scheme of the present application is: an intelligent hierarchical management method for narcotic drugs, comprising the following steps: S1: obtaining internal electronic narcotic cabinet numbers and safety-related data of each department; S2: obtaining the total number of disturbance cabinets according to the safety-related data using a disturbance cabinet number adjustment formula; S3: obtaining department affinity weight, department risk coefficient of each department and average number of drug taking in a preset time period of each electronic narcotic cabinet, and obtaining candidate cabinet score using a comprehensive scoring formula; S4: selecting storage electronic narcotic cabinets and disturbance cabinets according to the candidate cabinet score and the internal electronic narcotic cabinet numbers of each department, and adjusting and sorting the cabinet numbers of the storage electronic narcotic cabinets and the cabinet numbers of the disturbance cabinets for display; S5: performing safety detection and opening according to the cabinet numbers, cabinet opening passwords of the storage electronic narcotic cabinets and the cabinet numbers of the disturbance cabinets.
[0005] Preferably, the obtaining of the internal electronic narcotic cabinet number and safety-related data of each department includes: pre-allocating an electronic narcotic cabinet number to each department to obtain the internal electronic narcotic cabinet number corresponding to each department, the safety-related data including the drug safety level, the standard safety level corresponding to the drug, the safety level of each electronic narcotic cabinet and the total number of disturbance cabinet arrangements before adjustment, the total number of disturbance cabinet arrangements before adjustment being the total number of disturbance cabinet arrangements of the standard benchmark number; obtaining the standard safety level required for the electronic narcotic cabinet according to the drug safety level, and using the disturbance cabinet quantity adjustment formula according to the safety-related data to obtain the total number of disturbance cabinet arrangements.
[0006] Preferably, the method of using a disturbance cabinet quantity adjustment formula according to the safety-related data to obtain the total number of disturbance cabinet arrangements includes: wherein the disturbance cabinet quantity adjustment formula is: ; ; ; ; Where, Arrange the total number of disturbance cabinets after adjustment; The total number of disturbance cabinet arrangements before adjustment; For security level difference; is the lower limit of the total number of disturbance cabinets; is the upper limit of the total number of disturbance cabinets; is the target number of disturbance cabinets corresponding to the drug grade; For the The actual safety level of each disturbance cabinet; It is the standard security level; It is the safety level of the drug; To adjust the parameters; To round up.
[0007] Preferably, the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period of each electronic narcotic cabinet are obtained, and a comprehensive scoring formula is used to obtain a candidate cabinet score, including: obtaining the department affinity weight according to the distance between the floor where the electronic narcotic cabinet is located and each department, the remaining capacity of the cabinet, the network status, and the urgency of the medicine, and obtaining the department risk coefficient of each department and the average number of drug withdrawals within a preset time period of each electronic narcotic cabinet, wherein the department risk coefficient of each department is obtained by the number of abnormal operations of each department, the completion rate of personnel training, the frequency of key personnel changes, and the physical safety environment level. The comprehensive scoring formula is: ; Where, For the Score of candidate cabinets for electronic narcotics cabinets; is the department affinity weight; is the department risk factor; For the The average number of times an electronic anesthetic cabinet is used to take out medication within a preset time period.
[0008] Preferably, the method of selecting an electronic narcotic storage cabinet and a disturbance cabinet according to the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and adjusting, sorting, and displaying the cabinet numbers of the electronic narcotic storage cabinet and the disturbance cabinet comprises: sorting the electronic narcotic cabinets according to the candidate cabinet scores, selecting a disturbance cabinet according to the total number of disturbance cabinets, selecting the internal electronic narcotic cabinets of each department, and storing them to obtain an electronic narcotic storage cabinet, providing the cabinet number, cabinet opening password, and cabinet number of the disturbance cabinet for storing the electronic narcotic, and adjusting, sorting, and displaying the cabinet numbers of the electronic narcotic storage cabinet and the disturbance cabinet.
[0009] Preferably, the internal electronic narcotic cabinets of each department are selected and stored to obtain a storage electronic narcotic cabinet, and the cabinet number, cabinet opening password and cabinet number of the disturbance cabinet of the electronic narcotic cabinet are given, including: obtaining a cabinet health index by weighted summation according to the mechanical fatigue, network connectivity, environmental stability and number of hardware failures of the internal electronic narcotic cabinets of each department; obtaining a historical abnormality warning factor by weighted summation according to the number of illegal cabinet opening events, the number of disconnection events, the number of abnormal drug collection records and the number of maintenance interventions of the internal electronic narcotic cabinets of each department; analyzing the historical medication behavior of each department through an LSTM deep neural network to obtain an expected usage frequency of the cabinet in a preset time period in the future, using an active cabinet screening scoring formula to obtain a storage recommendation comprehensive score based on the cabinet health index of the electronic narcotic cabinet, the expected usage frequency of the cabinet in the preset time period in the future and the historical abnormality warning factor, and selecting the internal electronic narcotic cabinet of each department according to the storage recommendation comprehensive score and storing the cabinet to obtain the storage electronic narcotic cabinet.
[0010] Preferably, the active cabinet screening scoring formula is used to obtain a storage recommendation comprehensive score based on the cabinet health index of the electronic narcotic cabinet, the expected usage frequency of the cabinet in a future preset time period, and the historical abnormality warning factor, including: wherein the active cabinet screening scoring formula is: ; Where, For the department Comprehensive rating of storage recommendations for internal electronic cannabis cabinets; For the department The cabinet health index of the internal electronic narcotic cabinet; For the department Historical abnormal warning factors of internal electronic narcotics cabinets; For the department Estimated usage frequency of the internal electronic narcotics cabinet.
[0011] Preferably, the security detection and opening according to the cabinet number, cabinet opening password and cabinet number of the disturbance cabinet of the electronic narcotic cabinet includes: when the electronic narcotic cabinet of the electronic narcotic cabinet receives the cabinet opening password of the electronic narcotic cabinet, the electronic narcotic cabinet of the electronic narcotic cabinet is opened; when the disturbance cabinet receives the cabinet opening password of the electronic narcotic cabinet, the internal electronic narcotic cabinet number leakage alarm information of the corresponding department is obtained according to the cabinet opening password of the electronic narcotic cabinet and the disturbance cabinet is blocked.
[0012] Preferably, when the disturbance cabinet receives the cabinet opening password of the electronic narcotic cabinet storing the narcotic, the internal electronic narcotic cabinet number leakage alarm information of the corresponding department is obtained according to the cabinet opening password of the electronic narcotic cabinet storing the narcotic and the disturbance cabinet is blocked, including: updating the historical abnormal warning factor according to the internal electronic narcotic cabinet number leakage alarm information of the corresponding department.
[0013] Preferably, an intelligent hierarchical management and control system for narcotic drugs further includes: Data acquisition module, used to obtain the internal electronic narcotic cabinet number and safety-related data of each department; a total number determination module, configured to obtain the total number of disturbance cabinet arrangements using a disturbance cabinet quantity adjustment formula according to the safety-related data; The scoring acquisition module is used to obtain the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period of each electronic anesthetic cabinet, and use a comprehensive scoring formula to obtain the candidate cabinet score; A determination sorting and display module is used to select electronic narcotic cabinets and disturbance cabinets according to the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and to adjust the cabinet numbers of the electronic narcotic cabinets and the disturbance cabinets for sorting and display; The detection and opening module is used to perform security detection and opening according to the cabinet number, cabinet opening password and cabinet number of the electronic narcotic cabinet storing the narcotic essence.
[0014] Beneficial effects of the present invention: The present invention utilizes a formula for adjusting the number of disturbance cabinets to dynamically calculate the number of disturbance cabinets according to the difference between the drug safety level and the actual security level, which can balance the standard benchmark number and the actual safety requirements in real time, and reduce the risk of leakage or theft due to insufficient security level configuration; the storage cabinet and the disturbance cabinet are double-checked, and the disturbance cabinet is immediately blocked when the passwords are consistent, further enhancing the protection strength; a comprehensive score is given based on the department affinity weight, department risk coefficient and average number of drug withdrawals, and candidate storage cabinets are accurately selected, and are displayed in order of score, realizing hierarchical management and dynamic allocation, which not only meets the convenience of drug withdrawal for high-frequency use departments, but also takes into account the safety control of low-frequency or high-risk departments. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 This is a flow chart of an intelligent hierarchical management and control method for narcotic drugs according to the present invention; Figure 2 This is a schematic diagram of the structure of an intelligent hierarchical management and control system for narcotic drugs according to the present invention. DETAILED DESCRIPTION
[0016] Reference herein to an embodiment means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of such a phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0017] Example 1: An intelligent hierarchical control method for narcotic drugs, such as Figure 1 As shown, the following steps are included: S1: Obtain the internal electronic narcotic cabinet number and safety-related data of each department; Pre-allocate electronic narcotic cabinet numbers to each department and obtain the internal electronic narcotic cabinet numbers corresponding to each department. The safety-related data include the drug safety level, the standard safety level corresponding to the drug, the safety level of each electronic narcotic cabinet, and the total number of disturbance cabinet arrangements before adjustment. The total number of disturbance cabinet arrangements before adjustment is the total number of disturbance cabinet arrangements of the standard benchmark number. The standard safety level required for the electronic narcotic cabinet is obtained according to the drug safety level, and the disturbance cabinet quantity adjustment formula is used according to the safety-related data to obtain the total number of disturbance cabinet arrangements.
[0018] It should be noted that in this embodiment, it is assumed that the hospital has three departments, A, B, and C. The following specifically describes the implementation process of "obtaining the internal electronic narcotic cabinet number and security-related data of each department, obtaining the standard security level based on the drug safety level, and then calculating the total number of disturbance cabinet arrangements." The data acquisition module pre-assigns an electronic narcotic cabinet number to each department. For example, Department A is assigned the cabinet number "E-001", Department B is assigned the cabinet number "E-002", and Department C is assigned the cabinet number "E-003". The corresponding "internal electronic narcotic cabinet number" of each department is thus obtained, and the following security-related data is retrieved and recorded: the drug safety level G (e.g., Class A drugs, G=3; Class B drugs, G=2; Class C drugs, G=1). The security level of each electronic narcotic cabinet can be determined based on the number of detections of each electronic narcotic cabinet. For example, if facial recognition plus key unlocking is used, the security level is 2.
[0019] S2: using a disturbance cabinet quantity adjustment formula according to the safety-related data to obtain a total number of disturbance cabinet arrangements; The formula for adjusting the number of disturbance cabinets is: ; ; ; ; Where, Arrange the total number of disturbance cabinets after adjustment; The total number of disturbance cabinet arrangements before adjustment; For security level difference; is the lower limit of the total number of disturbance cabinets; is the upper limit of the total number of disturbance cabinets; is the target number of disturbance cabinets corresponding to the drug grade; For the The actual safety level of each disturbance cabinet; It is the standard security level; It is the safety level of the drug; To adjust the parameters; To round up.
[0020] It should be noted that is the lower limit of the total number of disturbance cabinets, The upper limit of the total number of disturbance cabinets is determined based on the hardware resource scale, layout distribution and safety management specifications of the hospital or medical institution. It should be able to implement basic interference with cabinet opening at the minimum security level. This requirement should be jointly evaluated by the security management department and the equipment supplier, and formulated based on the minimum number of available cabinets and the minimum safety redundancy requirements. The number of available cabinets should not exceed the total number of available cabinets minus the number of storage cabinets to avoid wasting system resources due to excessive disturbance cabinets. It is set according to the drug safety management classification standards of the National Medical Products Administration or the hospital, combined with risk assessment reports and expert experience. Can be quantified through historical accident rate and safety incident analysis; If is , it represents the default security level baseline, and takes the smallest integer that guarantees the minimum security baseline; Obtained through regression analysis or optimization testing with reference to historical cabinet usage data and safety incident frequency statistics; For the The actual security level of each disturbance cabinet is obtained by real-time monitoring of the security management system and the equipment status management module, including the cabinet hardware security certification level (such as anti-pry, anti-tampering and anti-power off); .
[0021] S3: Obtain the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period for each electronic anesthetic cabinet, and use the comprehensive scoring formula to obtain the candidate cabinet score; The department affinity weight is obtained based on the distance between the floor where the electronic narcotic cabinet is located and each department, the remaining capacity of the cabinet, the network status, and the urgency of the medicine. The department risk coefficient of each department and the average number of drug withdrawals from each electronic narcotic cabinet within a preset time period are also obtained. The department risk coefficient of each department is obtained based on the number of abnormal operations, staff training completion rate, key personnel change frequency, and physical safety environment level of each department. The comprehensive scoring formula is: ; Where, For the Score of candidate cabinets for electronic narcotics cabinets; is the department affinity weight; is the department risk factor; For the The average number of times an electronic anesthetic cabinet is used to take out medication within a preset time period.
[0022] It should be noted that the horizontal and vertical distances between the floor where each electronic narcotic cabinet is located and each department are calculated through indoor positioning or pre-entered map data; the network connectivity level of each cabinet is regularly tested; based on the urgency of the hospital's emergency department's demand for narcotic drugs, the higher the urgency, the greater the weight, and the weighted sum is taken to obtain the department affinity weight; the number of abnormal operations, staff training completion rate, key personnel change frequency and physical security environment level of each department are obtained through the hospital database, and the total number of drug collection records of each electronic narcotic cabinet within a preset time period (such as the past 7 days) is counted and averaged to obtain ; and use the comprehensive scoring formula to obtain the candidate cabinet score.
[0023] S4: selecting electronic narcotic cabinets and disturbance cabinets based on the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and adjusting and sorting the cabinet numbers of the electronic narcotic cabinets and the disturbance cabinets for display; After the electronic narcotic cabinets are sorted according to the candidate cabinet scores, a disturbance cabinet is selected according to the total number of disturbance cabinets arranged, and the internal electronic narcotic cabinets of each department are selected and stored to obtain the electronic narcotic cabinet for storage. The cabinet number, cabinet opening password and cabinet number of the disturbance cabinet for storage of the electronic narcotic cabinet are given, and the cabinet numbers of the electronic narcotic cabinet for storage and the disturbance cabinet are adjusted and sorted before being displayed.
[0024] It should be noted that all electronic narcotics cabinets are calculated according to the Sort from high to low, for example: cabinet numbers E-010 (P=0.12), E-003 (0.10), E-007 (0.08); the total number of disturbance cabinets is obtained by the "total number determination module", and electronic narcotic cabinets greater than or equal to the preset threshold are selected as disturbance cabinets. From the candidate storage electronic narcotic cabinets of each department, the electronic narcotic cabinets that intersect with the sorted electronic narcotic cabinets are selected as storage electronic narcotic cabinets. The cabinet numbers of the storage electronic narcotic cabinets and the disturbance cabinets are randomly sorted and displayed to medical staff.
[0025] The cabinet health index is obtained by weighted summing up the mechanical fatigue, network connectivity, environmental stability and number of hardware failures of the internal electronic narcotic cabinets of each department; the historical abnormality warning factor is obtained by weighted summing up the number of illegal cabinet opening events, disconnection events, abnormal drug collection records and maintenance intervention times of the internal electronic narcotic cabinets of each department; the historical medication behavior of each department is analyzed through the LSTM deep neural network to obtain the expected usage frequency of the cabinet in a preset time period in the future; according to the cabinet health index of the electronic narcotic cabinet, the expected usage frequency of the cabinet in a preset time period in the future and the historical abnormality warning factor, the active cabinet screening scoring formula is used to obtain a storage recommendation comprehensive score; and according to the storage recommendation comprehensive score, the internal electronic narcotic cabinets of each department are selected and stored to obtain the storage electronic narcotic cabinet.
[0026] It should be noted that mechanical fatigue: the fatigue score is calculated based on the number of times the cabinet is opened and closed and the years of use; network connectivity: points are given according to the average delay and packet loss rate; environmental stability: points are given according to the temperature, humidity and power supply fluctuations of the cabinet environment; number of hardware failures: the frequency of fault repair records in the past year is counted, and the cabinet health index is obtained after weighted summation; the number of illegal cabinet opening events, disconnection events, abnormal drug collection records and maintenance interventions of the electronic anesthetic cabinets in each department are obtained through data from the hospital database, and the historical abnormality warning factor is obtained after weighted summation; the average daily number of drug collection times of the cabinet in several historical periods (such as the past 30 days, 60 days) is collected as time series input, and the LSTM deep neural network model is used to train and predict the sequence, and the expected average daily usage frequency in the future preset time period (such as the next week) is output, and it is used as the expected usage frequency, according to Sort from high to low, and give priority to the cabinets with the highest scores as candidate electronic narcotics cabinets for storage.
[0027] The active cabinet screening scoring formula is: ; Where, For the department Comprehensive rating of storage recommendations for internal electronic cannabis cabinets; For the department The cabinet health index of the internal electronic narcotic cabinet; For the department Historical abnormal warning factors of internal electronic narcotics cabinets; For the department Estimated usage frequency of the internal electronic narcotics cabinet.
[0028] It should be noted that the cabinet health index, historical abnormal warning factor and expected usage frequency are obtained, normalized and input into the active cabinet screening score formula to obtain the storage recommendation comprehensive score of the internal electronic hemp cabinet.
[0029] S5: Perform security check and open the cabinet according to the cabinet number, cabinet opening password and cabinet number of the disturbance cabinet storing the electronic narcotic essence.
[0030] When the electronic narcotic cabinet for storing narcotic drugs receives the password for opening the electronic narcotic cabinet for storing narcotic drugs, the electronic narcotic cabinet for storing narcotic drugs is opened; when the disturbance cabinet receives the password for opening the electronic narcotic cabinet for storing narcotic drugs, the internal electronic narcotic cabinet number leakage alarm information of the corresponding department is obtained according to the password for opening the electronic narcotic cabinet for storing narcotic drugs and the disturbance cabinet is blocked.
[0031] The historical abnormal warning factor is updated according to the internal electronic narcotic cabinet number leakage alarm information of the corresponding department.
[0032] It should be noted that when medical staff send a cabinet opening request to the electronic narcotic storage cabinet through a terminal (such as a mobile app or a card swiping terminal), the "cabinet opening password" of the electronic narcotic storage cabinet will be transmitted along with the request. The security detection unit inside the electronic narcotic storage cabinet will first perform a local verification on the received "cabinet opening password". If the verification passes, the "cabinet door unlocking" action will be triggered, and the cabinet door will slowly open to allow the drug to be taken. If the verification fails, the cabinet door will be refused to open and an error prompt will be returned. At the same time, the background maintains a "passive monitoring" state for all disturbance cabinets: when any disturbance cabinet receives the same "cabinet opening password" signal from the electronic narcotic storage cabinet, the disturbance cabinet will also initiate a security detection process. The disturbance cabinet security detection unit will first parse the received "cabinet opening password" and search the "password→cabinet number" mapping table for the department's internal electronic narcotic storage cabinet number corresponding to the password to confirm which department the password leak belongs to. Once the disturbance cabinet detects that the received cabinet opening password matches the password of any electronic narcotic storage cabinet, it will be determined as an "internal electronic narcotic cabinet number leak" event.
[0033] Example 2: Based on Example 1, an intelligent hierarchical management and control system for narcotic drugs, such as Figure 2 As shown, it also includes: Data acquisition module, used to obtain the internal electronic narcotic cabinet number and safety-related data of each department; a total number determination module, configured to obtain the total number of disturbance cabinet arrangements using a disturbance cabinet quantity adjustment formula according to the safety-related data; The scoring acquisition module is used to obtain the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period of each electronic anesthetic cabinet, and use a comprehensive scoring formula to obtain the candidate cabinet score; A determination sorting and display module is used to select electronic narcotic cabinets and disturbance cabinets according to the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and to adjust the cabinet numbers of the electronic narcotic cabinets and the disturbance cabinets for sorting and display; The detection and opening module is used to perform security detection and opening according to the cabinet number, cabinet opening password and cabinet number of the electronic narcotic cabinet storing the narcotic essence.
[0034] While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. The scope of the following claims is to be accorded the broadest interpretation so as to encompass all modifications and equivalent structures and functions.
Claims
1. An intelligent hierarchical management and control method for narcotic drugs, characterized in that: The following steps are involved: S1: Obtain the internal electronic narcotic cabinet number and safety-related data of each department; S2: using a disturbance cabinet quantity adjustment formula according to the safety-related data to obtain a total number of disturbance cabinet arrangements; S3: Obtain the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period for each electronic anesthetic cabinet, and use the comprehensive scoring formula to obtain the candidate cabinet score; S4: selecting electronic narcotic cabinets and disturbance cabinets based on the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and adjusting and sorting the cabinet numbers of the electronic narcotic cabinets and the disturbance cabinets for display; S5: Perform security check and open the cabinet according to the cabinet number, cabinet opening password and cabinet number of the disturbance cabinet storing the electronic narcotic essence.
2. The intelligent hierarchical management and control method for narcotic drugs according to claim 1, characterized in that: The obtaining of the internal electronic narcotic cabinet number and safety-related data of each department includes: pre-allocating an electronic narcotic cabinet number to each department to obtain the internal electronic narcotic cabinet number corresponding to each department, the safety-related data including the drug safety level, the standard safety level corresponding to the drug, the safety level of each electronic narcotic cabinet, and the total number of disturbance cabinet arrangements before adjustment, wherein the total number of disturbance cabinet arrangements before adjustment is the total number of disturbance cabinet arrangements of the standard benchmark number; obtaining the standard safety level required for the electronic narcotic cabinet according to the drug safety level, and using a disturbance cabinet quantity adjustment formula according to the safety-related data to obtain the total number of disturbance cabinet arrangements.
3. The intelligent hierarchical management and control method for narcotic drugs according to claim 1, characterized in that: The method of using a disturbance cabinet quantity adjustment formula according to the safety-related data to obtain the total number of disturbance cabinet arrangements includes: wherein the disturbance cabinet quantity adjustment formula is: ； ； ； ； Where, Arrange the total number of disturbance cabinets after adjustment; The total number of disturbance cabinet arrangements before adjustment; Different levels of security; is the lower limit of the total number of disturbance cabinets; is the upper limit of the total number of disturbance cabinets; is the target number of disturbance cabinets corresponding to the drug grade; For the The actual safety level of each disturbance cabinet; It is the standard security level; It is the safety level of the drug; To adjust the parameters; To round up.
4. The intelligent hierarchical management and control method for narcotic drugs according to claim 1, characterized in that: The department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals from each electronic narcotic cabinet within a preset time period are obtained, and a comprehensive scoring formula is used to obtain a candidate cabinet score, including: obtaining the department affinity weight based on the distance between the floor where the electronic narcotic cabinet is located and each department, the remaining capacity of the cabinet, the network status, and the urgency of the medicine, and obtaining the department risk coefficient of each department and the average number of drug withdrawals from each electronic narcotic cabinet within a preset time period, wherein the department risk coefficient of each department is obtained based on the number of abnormal operations of each department, the completion rate of personnel training, the frequency of key personnel changes, and the physical safety environment level. The comprehensive scoring formula is: ； Where, For the Score of candidate cabinets for electronic narcotics cabinets; is the department affinity weight; is the department risk factor; For the The average number of times an electronic anesthetic cabinet is used to take out drugs within a preset time period.
5. The intelligent hierarchical management and control method for narcotic drugs according to claim 1, characterized in that: The method selects an electronic narcotic storage cabinet and a disturbance cabinet based on the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and adjusts, sorts, and displays the cabinet numbers of the electronic narcotic storage cabinet and the disturbance cabinet, including: sorting the electronic narcotic cabinets based on the candidate cabinet scores, selecting the disturbance cabinet based on the total number of disturbance cabinets, selecting the internal electronic narcotic cabinets of each department, and storing them to obtain the electronic narcotic storage cabinet, providing the cabinet number, cabinet opening password, and cabinet number of the disturbance cabinet for the electronic narcotic storage cabinet, and adjusting, sorting, and displaying the cabinet numbers of the electronic narcotic storage cabinet and the disturbance cabinet.
6. The intelligent hierarchical management and control method for narcotic drugs according to claim 5, characterized in that: The method further comprises selecting the internal electronic narcotic cabinets of each department and storing the cabinets to obtain the electronic narcotic cabinets, providing the cabinet numbers, cabinet opening passwords, and cabinet numbers of the disturbance cabinets for the electronic narcotic cabinets, including: obtaining a cabinet health index by weighted summation based on the mechanical fatigue, network connectivity, environmental stability, and number of hardware failures of the internal electronic narcotic cabinets of each department; obtaining a historical abnormality warning factor by weighted summation based on the number of illegal cabinet opening events, disconnection events, abnormal drug collection records, and maintenance interventions of the internal electronic narcotic cabinets of each department; analyzing the historical drug use behavior of each department through an LSTM deep neural network to obtain an expected usage frequency of the cabinet in a future preset time period; obtaining a storage recommendation comprehensive score by using an active cabinet screening scoring formula based on the cabinet health index of the electronic narcotic cabinet, the expected usage frequency of the cabinet in a future preset time period, and the historical abnormality warning factor; and selecting the internal electronic narcotic cabinets of each department based on the storage recommendation comprehensive score and storing the cabinets to obtain the electronic narcotic cabinets.
7. The intelligent hierarchical management and control method for narcotic drugs according to claim 6, characterized in that: The active cabinet screening scoring formula is used to obtain a comprehensive storage recommendation score based on the cabinet health index of the electronic narcotic cabinet, the expected usage frequency of the cabinet in a preset time period in the future, and the historical abnormal warning factor. The active cabinet screening scoring formula includes: ； Where, For the department Comprehensive rating of storage recommendations for internal electronic cannabis cabinets; For the department The cabinet health index of the internal electronic narcotic cabinet; For the department Historical abnormal warning factors of internal electronic narcotics cabinets; For the department Estimated usage frequency of the internal electronic narcotics cabinet.
8. The intelligent hierarchical management and control method for narcotic drugs according to claim 1, characterized in that: The security detection and opening according to the cabinet number, cabinet opening password and cabinet number of the disturbance cabinet of the electronic narcotic cabinet includes: when the electronic narcotic cabinet of the electronic narcotic cabinet receives the cabinet opening password of the electronic narcotic cabinet, the electronic narcotic cabinet of the electronic narcotic cabinet is opened; when the disturbance cabinet receives the cabinet opening password of the electronic narcotic cabinet, the internal electronic narcotic cabinet number leakage alarm information of the corresponding department is obtained according to the cabinet opening password of the electronic narcotic cabinet and the disturbance cabinet is blocked.
9. The intelligent hierarchical management and control method for narcotic drugs according to claim 8, characterized in that: When the disturbance cabinet receives the unlocking password of the electronic narcotic cabinet storing the narcotic, the internal electronic narcotic cabinet number leakage alarm information of the corresponding department is obtained according to the unlocking password of the electronic narcotic cabinet storing the narcotic and the disturbance cabinet is blocked, including: updating the historical abnormal warning factor according to the internal electronic narcotic cabinet number leakage alarm information of the corresponding department.
10. An intelligent hierarchical management and control system for narcotic drugs, used to implement the intelligent hierarchical management and control method for narcotic drugs according to any one of claims 1 to 9, characterized in that: Also includes: Data acquisition module, used to obtain the internal electronic narcotic cabinet number and safety-related data of each department; a total number determination module, configured to obtain the total number of disturbance cabinet arrangements using a disturbance cabinet quantity adjustment formula according to the safety-related data; The scoring acquisition module is used to obtain the department affinity weight, the department risk coefficient of each department, and the average number of drug withdrawals within a preset time period of each electronic anesthetic cabinet, and use a comprehensive scoring formula to obtain the candidate cabinet score; A determination sorting and display module is used to select electronic narcotic cabinets and disturbance cabinets according to the candidate cabinet scores and the internal electronic narcotic cabinet numbers of each department, and to adjust the cabinet numbers of the electronic narcotic cabinets and the disturbance cabinets for sorting and display; The detection and opening module is used to perform security detection and opening according to the cabinet number, cabinet opening password and cabinet number of the electronic narcotic cabinet storing the narcotic essence.