Whole-process supervision method and system for medical washings, electronic equipment and medium

Abstract

The invention discloses a full-process supervision method and system for medical washings, electronic equipment and a medium, and relates to the technical field of process supervision. The method comprises the following steps: acquiring department information of a target medical department and washing information corresponding to a plurality of different washing processes; according to the department type, the number of employees and the number of beds in the department information, determining a laundry quota, and dividing the laundry quota to obtain laundry sub-quotas; respectively extracting the number of washings being washed, the number of washings to be washed and the number of washed washings from each piece of washing information; calculating a washing aging value by combining the washing quantity of the washings, the to-be-washed quantity of the washings, the washed quantity of the washings and the washing duration corresponding to the washing process; and determining a washing management score based on the washing sub-quota and the washing aging value, and when the washing management score corresponding to any washing process is less than a preset threshold, generating early warning information. By implementing the technical scheme provided by the invention, the effect of improving the efficiency of whole-process supervision of the medical washings is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of process supervision, and particularly relates to a full-process supervision method, system, electronic device and medium for medical laundry items. Background Art

[0002] With the continuous expansion of the scale of medical services, the number of medical laundry items generated by medical institutions during their daily operations has increased sharply. The timely cleaning and effective management of these medical laundry items, including hospital bed sheets, quilt covers, surgical gowns, etc., are of great significance for ensuring the quality of medical services and controlling the risk of nosocomial infections.

[0003] Currently, medical institutions generally adopt a unified standard to overall supervise the washing process of laundry items in all departments within the hospital. However, in actual applications, due to differences in the nature and scale of work among different departments within the hospital, different departments often have different washing requirements during the washing process. Merely using a unified standard to supervise the washing conditions of each department often makes it difficult to make dynamic adjustments according to different washing requirements, thus reducing the efficiency of the full-process supervision of medical laundry items. Summary of the Invention

[0004] The present application provides a full-process supervision method, system, electronic device and medium for medical laundry items, which has the effect of improving the efficiency of the full-process supervision of medical laundry items.

[0005] In a first aspect, the present application provides a full-process supervision method for medical laundry items, including: Obtaining the department information of a target medical department and the washing information corresponding to the target medical department in multiple different washing processes; Determining the laundry quota of the target medical department according to the department type, number of employees and number of beds in the department information, and dividing the laundry quota according to each of the washing processes to obtain corresponding sub-laundry quotas; Respectively extracting the number of laundry items being washed, the number of laundry items to be washed and the number of laundry items that have been washed from each of the washing information; For each of the washing processes, calculating a corresponding washing timeliness value by combining the number of laundry items being washed, the number of laundry items to be washed, the number of laundry items that have been washed and the washing duration corresponding to the washing process; Based on the sub-laundry quotas and washing timeliness values of each of the washing processes, determining corresponding washing management scores, and when the washing management score corresponding to any one of the washing processes is less than a preset threshold, generating a warning message corresponding to the washing process.

[0006] In a second aspect of the present application, a full-process supervision system for medical laundry items is provided. The system includes: An information acquisition module, configured to acquire the department information of a target medical department and the washing information corresponding to the target medical department in multiple different washing processes; An information processing module, configured to determine the washing quota of the target medical department according to the department type, the number of employees, and the number of beds in the department information, and divide the washing quota according to each of the washing processes to obtain corresponding sub-washing quotas; extract the in-washing quantity, the to-be-washed quantity, and the washed quantity of the corresponding washing items from each of the washing information; A washing timeliness value determination module, configured to calculate a corresponding washing timeliness value for each of the washing processes by combining the in-washing quantity, the to-be-washed quantity, the washed quantity of the washing items, and the washing duration corresponding to the washing process; A washing process supervision module, configured to determine corresponding washing management scores based on the sub-washing quotas and the washing timeliness values of each of the washing processes, and generate a warning message corresponding to the washing process when the washing management score corresponding to any one of the washing processes is less than a preset threshold.

[0007] In a third aspect of the present application, an electronic device is provided, including a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement a full-process supervision method for medical washing items.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to implement a full-process supervision method for medical washing items.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical solution, the department information of the target medical department and the washing information corresponding to multiple different washing processes are obtained, enabling a full grasp of data such as its department type, number of employees, and number of beds. Then, based on this information, the washing quota is determined and further split into sub-washing quotas corresponding to each washing process, making the allocation of washing resources more accurate for different processes and reducing the problem of uneven quotas caused by differences in washing requirements between departments. On this basis, the number of items being washed, the number of items to be washed, and the number of items that have been washed of the washing items are respectively extracted from multiple washing information, and the washing timeliness value is calculated in combination with the washing duration of the corresponding washing process. This can not only dynamically grasp the workload and progress of different washing processes but also evaluate the washing efficiency of each process in real time. During this process, the washing management score determined based on the sub-washing quota and the washing timeliness value of the washing process can more comprehensively reflect the actual completion degree and processing capacity of the washing process for the established quota. When the washing management score corresponding to any washing process is lower than the preset threshold, the system will generate a warning message, thereby realizing the timely monitoring and abnormal identification of the washing process, and improving the efficiency of the full-process supervision of medical washing items while ensuring the quality and quantity requirements of medical washing items. Brief Description of the Drawings

[0010] Figure 1 is a schematic flowchart of a full-process supervision method for medical washing items provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a full-process supervision system for medical washing items provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0011] Description of the Reference Numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Embodiments

[0012] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "for example" or "for illustration" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "for example" or "for illustration" is intended to present relevant concepts in a specific manner.

[0014] In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0015] The embodiments of the present application provide a full-process supervision method for medical laundry. In one embodiment, please refer to Figure 1 , Figure 1 which is a schematic flowchart of the full-process supervision method for medical laundry provided by the embodiments of the present application. This method can be implemented relying on a computer program, which can be integrated in an application or run as an independent tool-type application. This method can also be implemented relying on a single-chip microcomputer and can also run on a full-process supervision system for medical laundry based on the von Neumann architecture. Specifically, this method may include the following steps: Step 101: Obtain the department information of the target medical department and the washing information corresponding to the target medical department in multiple different washing processes.

[0016] Among them, the target medical department refers to a specific department unit in the hospital that needs to supervise the laundry, which can be different types of medical units such as operating rooms, intensive care units, general wards, and obstetric wards. Each target medical department has its specific medical service nature and operation scale, which directly affect the laundry usage characteristics and management requirements of this department.

[0017] The department information mainly includes information such as department type, number of employees, and number of beds. Among them, the department type reflects the functional attributes of this medical unit. For example, the operating room belongs to a high-risk operation area and has higher hygiene requirements for the laundry; the number of employees represents the personnel scale of this department and is directly related to the usage amount of laundry such as medical staff uniforms; the number of beds reflects the service capacity of this department and is closely related to the usage amount of bedding such as sheets and quilt covers. These three types of information together constitute the basic parameters for evaluating the laundry demand of the department.

[0018] The washing process refers to the different processing paths of medical laundry from collection to the completion of cleaning. According to the pollution degree and usage scenarios of medical laundry, it can be divided into ordinary washing process, disinfection washing process, isolation washing process, etc. Each process has its specific processing requirements, such as parameters like temperature control, disinfectant use, and washing duration, which are all different. This process classification ensures that different types of medical laundry can be properly processed.

[0019] Washing information refers to the real-time status data of the laundry in each washing process, which is mainly collected through waterproof chips installed on the laundry. This information includes the number of items being washed (the current number of items being washed), the number of items to be washed (the number of items waiting to be processed), the number of items washed (the number of items that have completed cleaning), etc. Through these dynamic data, the system can grasp the operating status of each washing process in real time, providing a basis for evaluating washing efficiency and promptly detecting abnormalities.

[0020] Specifically, it is first necessary to obtain the department information of the target medical department and the corresponding washing information in multiple different washing processes of this department. Among them, the department information includes basic data such as department type, number of employees, and number of beds. These information directly reflect the scale and medical service characteristics of the medical department. For example, due to the differences in the nature of medical services between the operating room and ordinary wards, there are significant differences in the types, quantities, and cleaning requirements of their laundry; at the same time, the number of employees and the number of beds directly affect the quantity of laundry generated by this department. These department information can be obtained in real time through the hospital information management system, providing basic data support for subsequent quota calculation. When obtaining the washing information, since the processing of medical laundry usually involves multiple different washing processes, such as ordinary washing, disinfection washing, isolation washing, etc., it is necessary to obtain the relevant information of each washing process separately. Specifically, by installing waterproof chips on the laundry, the status information of the laundry in different processes can be collected in real time. This washing information not only includes the type and quantity of the laundry, but also dynamic data such as its status changes and washing time during the washing process. Through Internet of Things technology and data collection systems, the automatic collection and real-time update of this washing information can be achieved.

[0021] This hierarchical and multi-dimensional information acquisition method enables the system to comprehensively grasp the current situation of laundry management in the target medical department. Through the department information, the laundry demand characteristics of this department can be accurately evaluated; through the washing information, the execution situation of the washing process can be monitored in real time.

[0022] Step 102: Determine the laundry quota of the target medical department according to the department type, number of employees, and number of beds in the department information, and divide the laundry benchmark quota according to each washing process to obtain the corresponding laundry sub-quotas.

[0023] Among them, the laundry quota refers to the total standard amount of laundry that can be used by the target medical department within a certain time period (such as daily or weekly). This quota not only reflects the basic needs of the department but also takes into account various influencing factors, providing a scientific quantitative standard for the use of medical laundry.

[0024] The sub - quota of laundry refers to the sub - quota obtained by refining and allocating the laundry quota according to different washing processes (such as ordinary washing process, disinfection washing process, isolation washing process, etc.).

[0025] Specifically, after obtaining the basic information of the target medical department, it is necessary to determine a reasonable laundry quota for it and divide the processes. First, the system obtains the historical laundry usage of the target medical department within a preset time period (such as the past three months), and this data reflects the basic laundry demand level of the department. Then, based on the department type, the corresponding department coefficient is determined. For example, the operating room may have a relatively high department coefficient due to its particularity; based on the number of employees, the personnel coefficient is determined because the number of medical staff directly affects the usage of laundry such as work uniforms; based on the number of beds, the bed coefficient is determined, which is directly related to the quantity of bedding used by in - patients. The historical laundry usage is weighted with these coefficients to obtain the preliminary laundry benchmark quota.

[0026] Considering the influence of seasonal factors on the laundry demand, the system also needs to obtain the benchmark laundry demand corresponding to the season in which the target medical department is located. For example, in summer, due to the higher temperature, the replacement frequency usually increases, so the benchmark demand will increase accordingly. The laundry benchmark quota and the seasonal benchmark laundry demand are superimposed to finally obtain the laundry quota of the target medical department. After determining the total quota, it is necessary to reasonably allocate it to different washing processes. The system first obtains the time - distribution characteristics of each washing process, which reflect the time proportion of each process in daily operation, and calculates the time proportion of each washing process based on these distributions. At the same time, considering the possible differences in laundry loss caused by different washing processes, the system obtains the laundry loss rate of each washing process. The time proportion and the corresponding loss rate are corrected and calculated to obtain the quota proportion of each washing process. Finally, the laundry benchmark quota is divided according to these quota proportions to obtain the sub - quota of laundry corresponding to each washing process. This quota calculation and allocation method based on multiple factors enables the system to more accurately evaluate and allocate the laundry resources of each department.

[0027] On the basis of the above - mentioned embodiment, as an optional embodiment, in step 102: determining the laundry quota of the target medical department according to the department type, number of employees, and number of beds in the department information, this step may further include the following steps: Step 201: Obtain the historical usage amount of laundry items of the target medical department within a preset time period; determine the corresponding department coefficient based on the department type, the corresponding personnel coefficient based on the number of employees, and the corresponding bed coefficient based on the number of beds.

[0028] Specifically, the system first obtains the historical laundry usage data records of the target medical department within a preset time period (such as the recent three months) through the hospital information management system. Due to the differences in department types, the system sets different department coefficients. For example, since the operating room has high requirements for the cleanliness of laundry items and frequent usage, its department coefficient can be set to 1.5, while the department coefficient of the general ward can be set to 1.0. For the personnel coefficient, the system sets stepped coefficient values according to the number of employees. For example, when the number of employees is less than 10, the coefficient is 1.0; when it is between 10 and 20, it is 1.2; when it is more than 20, it is 1.4. This setting reflects the impact of the personnel scale on the demand for laundry items. Similarly, the bed coefficient is also set in a stepped manner. For example, when the number of beds is less than 20, the coefficient is 1.0; when it is between 20 and 40, it is 1.3; when it is more than 40, it is 1.6, reflecting the corresponding relationship between the bed scale and the demand for laundry items. The setting of these coefficients fully considers the characteristic differences of different departments and provides a scientific parameter basis for subsequent quota calculation.

[0029] Step 202: Perform a weighted calculation on the historical usage amount of laundry items with the department coefficient, the personnel coefficient, and the bed coefficient to obtain the baseline quota of laundry items.

[0030] Specifically, the system performs a weighted calculation on the obtained historical usage amount of laundry items with each coefficient. The specific calculation method is as follows: First, multiply the historical usage amount of laundry items by the department coefficient to obtain the basic quota considering the department characteristics; then multiply the basic quota by the personnel coefficient to obtain the intermediate quota considering the personnel scale; finally, multiply the intermediate quota by the bed coefficient to finally obtain the baseline quota of laundry items. For example, if an operating room uses 1000 laundry items per month on average, the department coefficient is 1.5, the personnel coefficient is 1.2 (15 employees), and the bed coefficient is 1.0 (10 beds), then the calculation of its baseline quota of laundry items is: 1000×1.5×1.2×1.0 = 1800 pieces. This multi-factor weighted calculation method ensures that the quota calculation fully considers various influencing factors and makes the quota more in line with the actual needs.

[0031] Step 203: Obtain the baseline demand for laundry items corresponding to the season in which the target medical department is located; superimpose the baseline quota of laundry items with the baseline demand for laundry items to obtain the quota of laundry items for the target medical department.

[0032] Specifically, the system first determines the season in which the target medical department is located according to the current date, and obtains the corresponding benchmark demand for laundry. This demand is a seasonal standard value obtained through statistical analysis of historical data. For example, in summer, due to higher temperatures and more frequent changes of clothes, the benchmark demand may be 30% higher than that in winter. The system superimposes and calculates the obtained laundry benchmark quota and the benchmark demand for laundry in this season. The specific method is: multiply the laundry benchmark quota by (1 + seasonal adjustment coefficient). For example, if the laundry benchmark quota of a certain department is 1,800 pieces and it is currently summer with a seasonal adjustment coefficient of 0.3, the final laundry quota is: 1,800×(1 + 0.3) = 2,340 pieces. This superimposed calculation method considering seasonal factors enables the finally determined quota to better adapt to seasonal demand changes, improving the practicality and accuracy of the quota.

[0033] Based on the above embodiments, as an alternative embodiment, in step 102: dividing the laundry benchmark quota according to each washing process to obtain the corresponding sub-quota for laundry. This step may further include the following steps: Step 204: Obtain the washing time distribution of each washing process; based on the washing time distribution, calculate the time proportion of each washing process.

[0034] Specifically, the system obtains the washing time distribution data of each washing process within a preset time period through the data acquisition module. For the normal washing process, disinfection washing process, and isolation washing process, record their daily washing durations respectively. For example, in a certain medical department, the normal washing process runs for 8 hours per day on average, the disinfection washing process runs for 6 hours per day on average, and the isolation washing process runs for 4 hours per day on average, with a total of 18 hours. Based on these time data, the system calculates the time proportion of each washing process: the proportion of the normal washing process is 44.4% (8 / 18), the proportion of the disinfection washing process is 33.3% (6 / 18), and the proportion of the isolation washing process is 22.3% (4 / 18). This proportion calculation based on the actual running time truly reflects the workload distribution of each washing process in daily operations.

[0035] Step 205: Obtain the laundry loss rate of each washing process; perform a correction calculation on each time proportion and the corresponding laundry loss rate to obtain the quota proportion of each washing process.

[0036] Specifically, obtain the loss rates of the laundry items for each washing process. These loss rate data are sourced from historical statistical analysis. Since the processing methods and intensities of different washing processes vary, there are also differences in the loss of laundry items. For example, the loss rate of the ordinary washing process is 5%, the loss rate of the disinfection washing process is 8% due to the use of disinfectants, and the loss rate of the isolation washing process is 12% due to stricter processing conditions. The system performs a correction calculation on the time proportion of each washing process and the corresponding loss rate. The specific method is as follows: Multiply the time proportion of each process by (1 + loss rate) to obtain the correction value, and then divide each correction value by the sum of all correction values to obtain the final quota ratio. Taking the above data as an example, the corrected quota ratio of the ordinary washing process is 42.1% (0.444×1.05 / 2.196), the disinfection washing process is 32.4% (0.333×1.08 / 2.196), and the isolation washing process is 25.5% (0.223×1.12 / 2.196). This correction calculation considering the loss factor makes the quota allocation more reasonable and can compensate for the loss differences brought about by different processes.

[0037] Step 206: Divide the laundry quota according to each quota ratio to obtain the sub-quota of laundry items corresponding to each washing process.

[0038] Specifically, the system makes a specific division of the laundry quota of the medical department according to the calculated quota ratios of each washing process. Suppose the laundry quota of a certain medical department is 2,340 pieces. Then, according to the above quota ratios, the sub-quota of laundry items for the ordinary washing process is 985 pieces (2,340×42.1%), the sub-quota of laundry items for the disinfection washing process is 758 pieces (2,340×32.4%), and the sub-quota of laundry items for the isolation washing process is 597 pieces (2,340×25.5%). This precise division based on the quota ratio ensures that each washing process obtains the quantity of laundry items that matches its workload and loss characteristics, avoiding resource waste and ensuring the normal operation of each process. Through this scientific quota division method, the system realizes the reasonable allocation of laundry resources and improves the overall operation efficiency.

[0039] Step 103: Extract the in-washing quantity, to-be-washed quantity, and washed quantity of the corresponding laundry items from each piece of washing information respectively.

[0040] Among them, the in-washing quantity of the laundry items refers to the quantity of laundry items being processed in the washing machine within a certain washing process in the target medical department. This quantity is collected through the real-time monitoring system of the washing machine and the waterproof chips on the laundry items, reflecting the real-time quantity of the laundry items currently undergoing washing treatment.

[0041] The quantity of laundry to be washed refers to the number of laundry items that have been collected in the laundry collection area but have not been put into the washing machine for processing within a certain washing process. This quantity is counted through the counting system in the collection area and the waterproof chips on the laundry items, reflecting the backlog of laundry waiting to be processed.

[0042] The quantity of laundry that has been washed refers to the number of laundry items that have completed the washing process and have been transferred to the cleaning area within a certain washing process. This quantity is recorded through the counting system in the cleaning area and the waterproof chips on the laundry items, reflecting the total quantity of laundry that has been processed.

[0043] Specifically, to monitor the operation status of each washing process and the laundry processing situation in the target medical department in real time, the system needs to extract and analyze the laundry information. First, the system collects the laundry information through the waterproof chips installed on the laundry items, which can record and transmit the status data of the laundry items in real time. From the collected laundry information, for each washing process (including the ordinary washing process, the disinfection washing process, and the isolation washing process), the system extracts three types of core data respectively: the quantity of laundry being washed, that is, the number of laundry items currently being processed in the washing machine; the quantity of laundry to be washed, that is, the number of laundry items that have been collected but have not started washing; the quantity of laundry that has been washed, that is, the number of laundry items that have completed the washing process. For example, for the ordinary washing process, the system may extract that the current quantity being washed is 50 pieces, the quantity to be washed is 100 pieces, and the quantity that has been washed is 300 pieces; for the disinfection washing process, it may extract that the quantity being washed is 30 pieces, the quantity to be washed is 80 pieces, and the quantity that has been washed is 200 pieces; for the isolation washing process, it may extract that the quantity being washed is 20 pieces, the quantity to be washed is 60 pieces, and the quantity that has been washed is 150 pieces. Through this refined data extraction, the system can accurately grasp the real-time operation status of each washing process, provide detailed data support for subsequent supervision and early warning, and also facilitate the management to timely discover and handle possible backlogs or efficiency problems in each process, thus ensuring the efficient operation of the entire laundry processing system.

[0044] Based on the above embodiments, as an alternative embodiment, in step 103: extracting the corresponding quantity of laundry being washed, the quantity of laundry to be washed, and the quantity of laundry that has been washed from each laundry information, this step may further include the following steps: Step 301: For the laundry information corresponding to each washing process, extract the status identifiers of the waterproof chips of multiple laundry items. The status identifiers of the waterproof chips include the to-be-washed status, the being-washed status, and the completed status.

[0045] Specifically, the system separately collects and analyzes the status identification information of the waterproof chips on each piece of laundry for each washing process. The waterproof chips adopt a waterproof encapsulation process and can continuously work and transmit status data in real time during the washing process. The system collects the information of the waterproof chips through RFID reading devices in the collection area, the washing machine area, and the completion area respectively. Each waterproof chip has a unique identity identification code and a corresponding status identification. The status identifications are divided into three types: the to-be-washed status (indicating that the laundry is in the collection area waiting to be processed), the being-washed status (indicating that the laundry is being processed in the washing machine), and the completed status (indicating that the laundry has been processed). For example, at a certain moment, 100 waterproof chips may be read in the normal washing process, among which 35 show the to-be-washed status, 25 show the being-washed status, and 40 show the completed status. This method of collecting status identifications based on waterproof chips ensures the accurate tracking of the status of each piece of laundry.

[0046] Step 302: Take the total number of status identifications of the waterproof chips in the to-be-washed status as the number of laundries to be washed; take the total number of status identifications of the waterproof chips in the being-washed status as the number of laundries being washed; take the total number of status identifications of the waterproof chips in the completed status as the number of laundries that have been washed.

[0047] Specifically, the system classifies and statistically calculates the status identifications of the collected waterproof chips and calculates the quantities. In specific implementation, the system first counts all the waterproof chips in the to-be-washed status, and takes the counting result as the number of laundries to be washed in this washing process; then it counts the number of waterproof chips in the being-washed status and takes it as the number of laundries being washed; finally, it calculates the number of waterproof chips in the completed status and takes it as the number of laundries that have been washed. Taking the above normal washing process as an example, the system counts 35 waterproof chips in the to-be-washed status to get 35 pieces of laundries to be washed, 25 waterproof chips in the being-washed status to get 25 pieces of laundries being washed, and 40 waterproof chips in the completed status to get 40 pieces of laundries that have been washed. This accurate counting method based on the status identifications of waterproof chips not only ensures the accuracy of the data, but also realizes the real-time monitoring of the whole process of laundry processing, providing reliable data support for the scientific management of the washing process. In this way, the management personnel can always master the specific distribution of the laundries in each washing process, timely discover and solve problems in the processing process, and improve the overall operation efficiency.

[0048] Step 104: For each washing process, calculate the corresponding washing efficiency value by combining the number of laundries being washed, the number of laundries to be washed, the number of laundries that have been washed, and the washing duration corresponding to the washing process.

[0049] Among them, the washing duration refers to the standard time required for a specific washing process to complete the treatment of a batch of laundry from the start of processing. This time is set according to the processing requirements of different washing processes. For example, a normal washing process may take 120 minutes (including steps such as cleaning, rinsing, and dehydration). The disinfection washing process may take 180 minutes due to the need for additional disinfection treatment, and the isolation washing process may take 240 minutes because it requires more stringent processing procedures. The setting of the washing duration is based on process requirements and actual operating experience and is an important basic parameter for calculating the washing efficiency value. This duration reflects the processing complexity and resource input required for different washing processes.

[0050] The washing efficiency value is a comprehensive indicator used to evaluate the processing efficiency of the washing process and is obtained through weighted calculation of multiple key parameters. The higher this efficiency value, the higher the processing efficiency of the washing process and the better the operating state. Through this indicator, the operating effects of different washing processes can be objectively evaluated and compared, providing data support for resource allocation and process optimization.

[0051] Specifically, to accurately evaluate the operating efficiency and processing capacity of each washing process, the system needs to calculate the washing efficiency value of each washing process. When calculating, first obtain the real-time data of each washing process, including the number of laundry items being washed, the number of items to be washed, the number of items that have been washed, and the corresponding washing duration. For example, for the normal washing process, the system may obtain that the number of items being washed is 50, the number of items to be washed is 100, the number of items that have been washed is 300, and the washing duration is 120 minutes; for the disinfection washing process, it may obtain that the number of items being washed is 30, the number of items to be washed is 80, the number of items that have been washed is 200, and the washing duration is 180 minutes; for the isolation washing process, it may obtain that the number of items being washed is 20, the number of items to be washed is 60, the number of items that have been washed is 150, and the washing duration is 240 minutes. The system uses a weighted calculation method to calculate the washing efficiency value. The specific calculation formula is: washing efficiency value = (number of items that have been washed × 1.0 + number of items being washed × 0.5 - number of items to be washed × 0.3) ÷ washing duration. In this calculation formula, the weight of the number of items that have been washed being 1.0 reflects the actual effect of the completed work, the weight of the number of items being washed being 0.5 reflects the progress of the work in process, and the weight of the number of items to be washed being -0.3 reflects the negative impact brought by the work to be processed. Taking the normal washing process as an example, its washing efficiency value is (300 × 1.0 + 50 × 0.5 - 100 × 0.3) ÷ 120 = 2.17. Through this calculation method that comprehensively considers multiple factors, the obtained washing efficiency value can objectively reflect the actual processing efficiency of each washing process, providing an important reference basis for process optimization and resource allocation. This method of calculating the efficiency value based on multi-dimensional data can not only accurately evaluate the operating state of each washing process but also help managers discover efficiency bottlenecks, adjust processing strategies in a timely manner, and improve the overall operating efficiency.

[0052] Based on the above embodiments, as an alternative embodiment, in step 104: Combine the number of items being washed, the number of items to be washed, the number of items already washed, and the washing duration corresponding to the washing process to calculate the corresponding washing efficiency value. This step may further include the following steps: Step 401: Obtain the standard processing cycle of the washing process; determine the actual processing cycle based on the number of items being washed and the washing duration.

[0053] Specifically, the system first obtains the standard processing cycle of each washing process, which is the ideal processing time preset based on process specifications and quality requirements. For example, the standard processing cycle of a normal washing process may be set to 2 hours, the disinfection washing process to 3 hours, and the isolation washing process to 4 hours. Then, the system calculates the actual processing cycle based on the current number of items being washed and the washing duration. The calculation method is: actual processing cycle = washing duration ÷ number of items being washed. For example, if there are 30 items being washed in a disinfection washing process and the washing duration is 180 minutes, then the actual processing cycle is 180 ÷ 30 = 6 minutes / item. By comparing the standard processing cycle and the actual processing cycle, the operating efficiency of the washing process can be intuitively reflected.

[0054] Step 402: Calculate the cycle deviation rate between the actual processing cycle and the standard processing cycle; use the ratio of the number of items to be washed to the number of items already washed as the backlog coefficient.

[0055] Specifically, the system further calculates two key indicators, the cycle deviation rate and the backlog coefficient. The calculation method of the cycle deviation rate is: (actual processing cycle - standard processing cycle) ÷ standard processing cycle × 100%, which is used to measure the deviation degree of the actual processing efficiency from the expected target. For example, if the standard processing cycle is 5 minutes / item and the actual processing cycle is 6 minutes / item, then the cycle deviation rate is 20%, indicating that the processing efficiency is lower than expected. At the same time, the system calculates the backlog coefficient, which is the ratio of the number of items to be washed to the number of items already washed. If the number of items to be washed is 80 and the number of items already washed is 200, then the backlog coefficient is 0.4, reflecting the proportion of the workload to be processed relative to the completed workload. These two indicators reflect the operating status of the washing process from different perspectives.

[0056] Step 403: Perform a weighted calculation on the cycle deviation rate and the backlog coefficient to obtain the washing efficiency value corresponding to the washing process.

[0057] Specifically, the system calculates the weighted values of the cycle deviation rate and the backlog coefficient to obtain the final washing timeliness value. The calculation formula is: washing timeliness value = (1 - cycle deviation rate × 0.6 - backlog coefficient × 0.4) × 100. Among them, the weight of the cycle deviation rate is 0.6, and the weight of the backlog coefficient is 0.4. This weight distribution takes into account both the importance of processing efficiency and the impact of the backlog situation. For example, if the cycle deviation rate of a washing process is 20% and the backlog coefficient is 0.4, then its washing timeliness value is [1 - (20% × 0.6 + 0.4 × 0.4)] × 100 = 76 points. This weighted calculation method based on multi-dimensional indicators can comprehensively reflect the operating efficiency of the washing process and provide a scientific basis for management decisions. Through this washing timeliness value, managers can intuitively evaluate the operating conditions of each washing process, promptly discover and solve efficiency problems, and ensure the efficient operation of the entire washing system.

[0058] Step 105: Based on the washing item sub-quotas and washing timeliness values of each washing process, determine the corresponding washing management scores. When the washing management score corresponding to any washing process is less than the preset threshold, generate a warning message corresponding to the washing process.

[0059] Among them, the washing management score refers to a quantitative management indicator used to comprehensively evaluate the operating status of the washing process. The higher this score, the better the overall operating status of the washing process, taking into account both processing efficiency and task completion.

[0060] The warning message refers to a warning message automatically generated by the system when the operating status of the washing process is abnormal. When the washing management score of a certain washing process is lower than the preset threshold (such as 70 points), the system will generate a corresponding warning message according to the specific situation. The warning message includes the name of the abnormal process, the type of abnormality, the analysis of the cause of the abnormality, and improvement suggestions, etc. For example, "The efficiency of the isolation washing process is abnormal (68 points), the current backlog coefficient is too high, it is recommended to increase processing equipment" or "The progress of the disinfection washing process is lagging behind (65 points), the completion rate is lower than expected, it is recommended to optimize the manpower allocation", etc. These warning messages can help managers promptly discover and solve problems in operation, and prevent serious backlogs or low efficiency in washing processing.

[0061] Specifically, to achieve intelligent supervision and timely warning of the washing process, the system needs to calculate the washing management score based on the sub-quotas of the washed items and the washing timeliness values. When calculating, first obtain the real-time data of each washing process, including the pre-allocated sub-quotas of the washed items and the current washing timeliness values. For example, the sub-quota of the ordinary washing process is 400 pieces per day, and the washing timeliness value is 76 points; the sub-quota of the disinfection washing process is 300 pieces per day, and the washing timeliness value is 82 points; the sub-quota of the isolation washing process is 200 pieces per day, and the washing timeliness value is 68 points. The system uses a weighted calculation method to calculate the washing management score. The specific calculation formula is: washing management score = washing timeliness value × 0.7 + (proportion of completed sub-quotas × 100) × 0.3, where the proportion of completed sub-quotas is the ratio of the number of washed items to the sub-quota. In this calculation formula, the weight of the washing timeliness value is 0.7, reflecting the importance of processing efficiency; the weight of the proportion of completed sub-quotas is 0.3, reflecting the impact of the task completion situation. Taking the ordinary washing process as an example, if the number of washed items is 300 pieces, then its washing management score is 76 × 0.7 + (300 ÷ 400 × 100) × 0.3 = 73.2 points. The system compares the calculated washing management score with a preset threshold (such as 70 points). When it is found that the management score of a certain washing process is lower than the threshold, a warning message is immediately generated. For example, if the management score of the isolation washing process is 68 points, lower than the preset threshold of 70 points, the system will generate a warning message of "The efficiency of the isolation washing process is abnormal. It is recommended to increase processing resources". This management score calculation and warning mechanism based on multi-dimensional indicators can timely detect abnormal situations in the washing process, help managers take targeted measures to ensure the continuous and efficient operation of the washing system. In this way, not only can the precise management of the washing process be achieved, but also the possible problems of processing backlog and low efficiency can be prevented, improving the overall operation quality.

[0062] On the basis of the above embodiments, as an optional embodiment, in step 105: determining the corresponding washing management score based on the sub-quotas of the washed items and the washing timeliness values of each washing process, this step may further include the following steps: Step 501: Obtain the temperature, water volume, and disinfectant concentration of the washing equipment in each washing process; calculate the corresponding equipment parameter compliance rate according to the temperature, water volume, and disinfectant concentration of the washing equipment in each washing process.

[0063] Specifically, the key operating parameters of the washing equipment in each washing process are collected in real time through the sensor network. For each washing equipment, the system monitors parameters such as its temperature (e.g., 60°C for normal washing, 75°C for disinfection washing, 85°C for isolation washing), water volume (e.g., standard water level of 12 L / kg), and disinfectant concentration (e.g., available chlorine concentration of 200 mg / L). The system compares the real-time parameter values collected with the preset standard parameter ranges and calculates the compliance rate of the equipment parameters. The calculation formula is: Equipment parameter compliance rate = Number of compliant parameters ÷ Total number of parameters × 100%. For example, if 13 out of 15 monitored parameters of a washing equipment are within the standard range, its parameter compliance rate is 86.7%. This method of calculating the compliance rate based on multiple parameters can comprehensively reflect the operating status of the equipment.

[0064] Based on the above embodiments, as an alternative embodiment, in step 501: calculating the corresponding equipment parameter compliance rate according to the temperature, water volume, and disinfectant concentration of the washing equipment in each washing process, this step may further include the following steps Step 511: Compare the temperature, water volume, and disinfectant concentration with the preset standard parameter ranges respectively. The standard parameter ranges include the standard temperature range, the standard water level range, and the standard concentration range.

[0065] Specifically, the system continuously collects and compares the key operating parameters of the washing equipment. For the temperature parameter, the system collects data every 5 minutes through a temperature sensor and compares it with the preset standard temperature range. For example, the standard temperature range for the normal washing process is 58°C - 62°C, for the disinfection washing process is 73°C - 77°C, and for the isolation washing process is 83°C - 87°C. For the water volume parameter, the system real-time monitors the water level height in the washing tub through a water level sensor and compares it with the standard water level range (e.g., 11.5 L / kg - 12.5 L / kg). For the disinfectant concentration, the system regularly detects the content of the active ingredient in the solution through a concentration detector and compares it with the standard concentration range (e.g., available chlorine concentration of 180 mg / L - 220 mg / L). This multi-parameter real-time monitoring and comparison mechanism ensures a comprehensive grasp of the operating status of the washing equipment.

[0066] Step 521: When the temperature is within the standard temperature range, determine the temperature compliance number; when the water level is within the standard water level range, determine the water level compliance number; when the disinfectant concentration is within the standard concentration range, determine the concentration compliance number.

[0067] Specifically, the system conducts statistical analysis and counting on the comparison results. After each data collection, the system determines whether each parameter is within the corresponding standard range. When the measured temperature value is within the standard temperature range, the temperature compliance count is incremented by 1; when the measured water level value is within the standard water level range, the water level compliance count is incremented by 1; when the measured disinfectant concentration value is within the standard concentration range, the concentration compliance count is incremented by 1. For example, during the operation of a certain washing process, the system performs 100 temperature detections, and 95 of them are within the standard range, so the temperature compliance count is 95; 100 water level detections are performed, and 92 of them are within the standard range, so the water level compliance count is 92; 100 concentration detections are performed, and 88 of them are within the standard range, so the concentration compliance count is 88. This precise method of counting parameter compliance provides a reliable data basis for calculating the equipment parameter compliance rate.

[0068] Step 531: Divide the sum of the temperature compliance count, water level compliance count, and concentration compliance count by the total number of detections to obtain the equipment parameter compliance rate.

[0069] Specifically, the system performs comprehensive calculations on the statistically obtained compliance data to obtain the final equipment parameter compliance rate. During specific calculations, add the temperature compliance count, water level compliance count, and concentration compliance count to obtain the total number of compliance times, and then divide by the total number of detections (i.e., the sum of the detection times of each parameter). Continuing the above example, the total number of compliance times is 95 + 92 + 88 = 275 times, and the total number of detections is 100 × 3 = 300 times, so the equipment parameter compliance rate is 275 ÷ 300 × 100% = 91.7%. This method of calculating the compliance rate based on a large amount of detection data can not only objectively reflect the operating stability of the equipment but also detect possible parameter fluctuation problems. By real-time monitoring and calculating the equipment parameter compliance rate, managers can promptly discover abnormal equipment operation, take necessary adjustment and maintenance measures to ensure the continuous and stable operation of the washing process. At the same time, this compliance rate indicator also provides an important basis for evaluating equipment performance and formulating maintenance plans, which helps improve the operating quality and reliability of the entire washing system.

[0070] Step 502: Based on a preset throughput mapping table, determine the standard throughput corresponding to each washing timeliness value, and subtract the standard throughput corresponding to the washing timeliness value from the sub-allocation of the washing items in each washing process to obtain the corresponding allocation difference.

[0071] Specifically, first query the preset throughput mapping table, which records the standard throughput corresponding to different washing timeliness values. For example, a washing timeliness value of 80 minutes corresponds to a standard throughput of 350 pieces per day, 75 minutes corresponds to 300 pieces per day, and 70 minutes corresponds to 250 pieces per day. The system determines the corresponding standard throughput from the mapping table according to the actual washing timeliness value of each washing process. Then, subtract the corresponding standard throughput from the sub-quota of the washed items in each washing process to obtain the quota difference. For example, if the sub-quota of a washing process is 400 pieces per day and the current washing timeliness value is 75 minutes, corresponding to a standard throughput of 300 pieces per day, then the quota difference is 100 pieces per day. This difference reflects the gap between the processing capacity of the washing process and the actual quota.

[0072] Step 503: Correct the quota difference based on the compliance rate of the equipment parameters of each washing process to obtain the corresponding target quota management score, and subtract the preset benchmark management score from each target quota management score respectively to obtain the washing management score corresponding to each washing process.

[0073] Specifically, the system corrects the quota difference using the compliance rate of the equipment parameters to obtain a more accurate target quota management score. The correction calculation formula is: target quota management score = quota difference × equipment parameter compliance rate. For example, if the quota difference of a washing process is 100 pieces per day and the equipment parameter compliance rate is 86.7%, then its target quota management score is 86.7 points. Finally, the system subtracts the target quota management scores of each washing process from the preset benchmark management score (such as 100 points) respectively to obtain the final washing management score. Continuing with the above example, the washing management score of this washing process is 100 - 86.7 = 13.3 points. This comprehensive calculation method based on the equipment operation status and processing capacity not only considers the actual operation of the equipment but also combines the balance relationship between throughput and quota, and can more objectively evaluate the management level of the washing process. In this way, managers can accurately grasp the operation status of each washing process, adjust the quota allocation and equipment maintenance strategies in a timely manner, and ensure the efficient operation of the entire washing system.

[0074] Refer to Figure 2 , a full-process supervision system for medical washed items provided by an embodiment of the present application. The system includes: an information acquisition module, an information processing module, a washing timeliness value determination module, and a washing process supervision module, where: The information acquisition module is used to acquire the department information of the target medical department and the washing information corresponding to the target medical department in multiple different washing processes; An information processing module, configured to determine the washing quota of the target medical department according to the department type, the number of employees, and the number of beds in the department information, and divide the washing quota according to each washing process to obtain the corresponding sub-washing quota; extract the in-washing quantity, the to-be-washed quantity, and the washed quantity of the corresponding washing items from each washing information respectively. A washing timeliness value determination module, configured to calculate the corresponding washing timeliness value for each washing process by combining the in-washing quantity, the to-be-washed quantity, the washed quantity of the washing items, and the washing duration corresponding to the washing process. A washing process supervision module, configured to determine the corresponding washing management score based on the sub-washing quota and the washing timeliness value of each washing process, and generate a warning message corresponding to the washing process when the washing management score corresponding to any washing process is less than a preset threshold.

[0075] Based on the above embodiments, the information processing module is further configured to obtain the historical usage quantity of the washing items of the target medical department within a preset time period; determine the corresponding department coefficient based on the department type, determine the corresponding personnel coefficient based on the number of employees, and determine the corresponding bed coefficient based on the number of beds; perform weighted calculation on the historical usage quantity of the washing items, the department coefficient, the personnel coefficient, and the bed coefficient to obtain the benchmark washing quota; obtain the benchmark washing demand quantity corresponding to the season in which the target medical department is located; superimpose the benchmark washing quota and the benchmark washing demand quantity to obtain the washing quota of the target medical department.

[0076] Based on the above embodiments, the information processing module is further configured to obtain the washing time distribution of each washing process; calculate the time proportion of each washing process based on the washing time distribution; obtain the washing item loss rate of each washing process; perform correction calculation on each time proportion and the corresponding washing item loss rate to obtain the quota proportion of each washing process; divide the washing quota according to each quota proportion to obtain the sub-washing quota corresponding to each washing process.

[0077] Based on the above embodiments, the information processing module is further configured to, for the washing information corresponding to each washing process, extract the waterproof chip status identifiers of multiple washing items in the washing information, where the waterproof chip status identifiers include the to-be-washed status, the in-washing status, and the completed status; use the total number of waterproof chip status identifiers in the to-be-washed status as the to-be-washed quantity of the washing items; use the total number of waterproof chip status identifiers in the in-washing status as the in-washing quantity of the washing items; and use the total number of waterproof chip status identifiers in the completed status as the washed quantity of the washing items.

[0078] Based on the above embodiments, the washing aging value determination module is further configured to obtain the standard processing cycle of the washing process; determine the actual processing cycle based on the number of items to be washed and the washing duration of the laundry; calculate the cycle deviation rate between the actual processing cycle and the standard processing cycle; use the ratio of the number of items of laundry to be washed to the number of items of laundry that have been washed as the backlog coefficient; perform weighted calculation on the cycle deviation rate and the backlog coefficient to obtain the washing aging value corresponding to the washing process.

[0079] Based on the above embodiments, the washing process supervision module is further configured to obtain the temperature, water volume, and disinfectant concentration of the washing equipment in each washing process; calculate the compliance rate of the corresponding equipment parameters according to the temperature, water volume, and disinfectant concentration of the washing equipment in each washing process; determine the standard processing volume corresponding to each washing aging value based on a preset processing volume mapping table, and subtract the standard processing volume corresponding to the washing aging value from the sub-allocation of the laundry in each washing process to obtain the corresponding quota difference; correct the quota difference based on the equipment parameter compliance rate of each washing process to obtain the corresponding target quota management score, and subtract each target quota management score from the preset benchmark management score to obtain the washing management score corresponding to each washing process.

[0080] Based on the above embodiments, the washing process supervision module is further configured to compare the temperature, water volume, and disinfectant concentration with a preset standard parameter range respectively, and the standard parameter range includes a standard temperature range, a standard water level range, and a standard concentration range; when the temperature is within the standard temperature range, determine the temperature compliance number, when the water level is within the standard water level range, determine the water level compliance number, and when the disinfectant concentration is within the standard concentration range, determine the concentration compliance number; divide the sum of the temperature compliance number, the water level compliance number, and the concentration compliance number by the total number of detections to obtain the equipment parameter compliance rate.

[0081] It should be noted that: when the device provided in the above embodiments realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be seen in the method embodiments, which will not be repeated here.

[0082] This application also discloses an electronic device. Refer to Figure 3 , Figure 3 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0083] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0084] Among them, the user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0085] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0086] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect all parts within the entire server. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling the data stored in the memory 305, it executes various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one of the hardware forms of digital signal processing (DSP), field-programmable gate array (FPGA), and programmable logic array (PLA). The processor 301 may integrate one or several combinations of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface graphics, and application programs, etc.; the GPU is responsible for the rendering and drawing of the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 301 and may be implemented separately through a single chip.

[0087] Among them, the memory 305 may include a Random Access Memory (RAM), or may also include a Read-Only Memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area can store the data involved in the above-mentioned method embodiments. Optionally, the memory 305 may also be at least one storage device located far from the aforementioned processor 301. Refer to Figure 3 , in the memory 305 as a computer storage medium, it may include an operating system, a network communication module, a user interface module, and an application program for a full-process supervision method of a medical laundry item.

[0088] In Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; while the processor 301 can be used to call the application program for a full-process supervision method of a medical laundry item stored in the memory 305. When executed by one or more processors 301, the electronic device 300 is caused to execute the method of one or more of the above embodiments. It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0089] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0090] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in electrical or other forms.

[0091] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0092] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0093] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present application. And the aforementioned memory includes: various media such as USB flash drives, mobile hard disks, magnetic disks or optical discs that can store program codes.

[0094] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will easily think of other implementation schemes of the present disclosure after considering the specification and the practice of the disclosure.

[0095] The present application aims to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary.

Claims

1. A full-process supervision method for medical laundry, characterized in that: include: Acquire department information of a target medical department and washing information corresponding to a plurality of different washing processes of the target medical department; Determine the laundry quota of the target medical department according to the department type, the number of employees, and the number of beds in the department information, and divide the laundry quota according to each of the laundry processes to obtain corresponding laundry sub-quotas; Extracting the corresponding number of laundry being washed, the number of laundry to be washed, and the number of laundry washed from each of the laundry information; For each washing process, the corresponding washing time efficiency value is calculated based on the number of laundry being washed, the number of laundry to be washed, the number of laundry washed, and the washing time corresponding to the washing process; Based on the laundry sub-quota and the washing time value of each washing process, a corresponding washing management score is determined, and when the washing management score corresponding to any washing process is less than a preset threshold, warning information corresponding to the washing process is generated.

2. The full-process supervision method for medical laundry according to claim 1 is characterized in that: Determining the laundry quota of the target medical department according to the department type, the number of employees, and the number of beds in the department information includes: Obtaining the historical laundry usage of the target medical department within a preset time period; Determine a corresponding department coefficient based on the department type, determine a corresponding personnel coefficient based on the number of employees, and determine a corresponding bed coefficient based on the number of beds; Performing weighted calculation on the historical laundry usage, the department coefficient, the staff coefficient, and the bed coefficient to obtain a laundry benchmark quota; Obtaining a baseline laundry demand corresponding to the season in which the target medical department is located; The laundry baseline quota is added to the baseline laundry demand to obtain the laundry quota of the target medical department.

3. The full-process supervision method for medical laundry according to claim 1 is characterized in that: The step of dividing the laundry quota according to each of the washing processes to obtain corresponding laundry sub-quotas includes: Obtaining the washing time distribution of each washing process; Based on the washing time distribution, calculating the time proportion of each washing process; Obtaining a laundry loss rate of each of the washing processes; Correcting and calculating each of the time proportions and the corresponding laundry loss rate to obtain the quota ratio of each of the washing processes; The laundry quota is divided according to the quota ratios to obtain laundry sub-quotas corresponding to the washing processes.

4. The full-process supervision method for medical laundry according to claim 1, characterized in that: The step of respectively extracting the corresponding number of laundry being washed, the number of laundry to be washed, and the number of laundry washed from each of the washing information includes: For the washing information corresponding to each washing process, extracting the waterproof chip status identifiers of the plurality of washing objects in the washing information, wherein the waterproof chip status identifiers include a to-be-washed state, a washing state, and a completed state; The total number of waterproof chip status identifiers in the to-be-washed state is used as the number of laundry to be washed; The total number of waterproof chip status identifiers in the washing state is used as the number of laundry in the washing state; The total number of the waterproof chip status marks in the completed state is taken as the number of laundry washed.

5. The full-process supervision method for medical laundry according to claim 1 is characterized in that: The calculating the corresponding washing time efficiency value by combining the number of laundry being washed, the number of laundry to be washed, the number of laundry washed, and the washing time corresponding to the washing process includes: Obtaining a standard processing cycle of the washing process; Determining an actual processing cycle based on the amount of laundry being washed and the washing duration; Calculating a cycle deviation rate between the actual processing cycle and the standard processing cycle; The ratio of the amount of laundry to be washed to the amount of laundry already washed is used as a backlog coefficient; The cycle deviation rate and the backlog coefficient are weightedly calculated to obtain a washing time efficiency value corresponding to the washing process.

6. The full-process supervision method for medical laundry according to claim 1, characterized in that: The determining of the corresponding washing management score based on the washing sub-quota and washing time value of each washing process includes: Obtaining the temperature, water volume and disinfectant concentration of the washing equipment in each of the washing processes; Calculate the corresponding equipment parameter compliance rate according to the temperature, water volume and disinfectant concentration of the washing equipment in each washing process; Based on a preset processing volume mapping table, the standard processing volume corresponding to each washing time value is determined, and the standard processing volume corresponding to the washing time value is subtracted from the washing sub-quota of each washing process to obtain a corresponding quota difference; The quota difference is corrected based on the equipment parameter compliance rate of each washing process to obtain the corresponding target quota management score, and the preset benchmark management score is subtracted from each target quota management score to obtain the washing management score corresponding to each washing process.

7. The full-process supervision method for medical laundry according to claim 6 is characterized in that: The calculating of the corresponding equipment parameter compliance rate according to the temperature, water volume and disinfectant concentration of the washing equipment in each washing process includes: Comparing the temperature, the water volume and the disinfectant concentration with preset standard parameter ranges, respectively, wherein the standard parameter ranges include a standard temperature range, a standard water level range and a standard concentration range; When the temperature is within the standard temperature range, the temperature reaching standard number is determined; when the water level is within the standard water level range, the water level reaching standard number is determined; when the disinfectant concentration is within the standard concentration range, the concentration reaching standard number is determined; The equipment parameter compliance rate is obtained by dividing the sum of the number of temperatures that meet the standard, the number of water levels that meet the standard, and the number of concentrations that meet the standard by the total number of detections.

8. A full-process supervision system for medical laundry, characterized in that: The system comprises: An information acquisition module, used to acquire department information of a target medical department and washing information corresponding to a plurality of different washing processes of the target medical department; an information processing module, for determining the laundry quota of the target medical department according to the department type, the number of employees and the number of beds in the department information, and dividing the laundry quota according to each of the washing processes to obtain a corresponding laundry sub-quota; and extracting the corresponding number of laundry being washed, the number of laundry to be washed and the number of laundry washed from each of the washing information; A washing time efficiency value determination module, for each washing process, combining the number of laundry being washed, the number of laundry to be washed, the number of laundry washed, and the washing time corresponding to the washing process, to calculate the corresponding washing time efficiency value; The washing process supervision module is used to determine the corresponding washing management score based on the washing sub-quota and washing time value of each washing process, and generate warning information corresponding to the washing process when the washing management score corresponding to any washing process is less than a preset threshold.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the full-process supervision method for medical laundry as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the full-process supervision method for medical laundry as described in any one of claims 1-7 is executed.

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