A remote monitoring system for cleaning staff operations

Abstract

The present invention discloses a remote supervision system for cleaning personnel's operations, which relates to the technical field of remote supervision systems. The system comprises a data acquisition module, a data processing module, a supervision and alarm module and a parameter setting module. The data processing module receives setting information, test information and real-time supervision information, and obtains the cleaning completion degree according to the single cleaning preset time, the total cleaning preset times, the actual cleaning total time, the actual cleaning total times, the step number change information, the heart rate change information and the test information. The next day's adjustment coefficient is obtained according to the cleaning completion degree, dust sensor information and the sunny and rainy coefficient. The new cleaning preset total times is obtained according to the cleaning preset total times and the next day's adjustment coefficient. The supervision and alarm module performs remote early warning supervision and allocation of the next day's plan. The present invention realizes comprehensive, accurate and dynamic remote supervision management of cleaning personnel's operations by comprehensively evaluating, considering environmental factors and dynamically adjusting plans.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring systems, in particular to a remote monitoring system for cleaning personnel operations. Background Art

[0002] In an office building environment, ground cleaning operations are crucial to creating a comfortable and tidy office space. As office buildings expand in size and management requirements increase, traditional cleaning staff management methods are increasingly unable to meet demand. Among them, traditional methods mainly rely on manual inspections and paper records. This model not only consumes a lot of manpower and time, but also has serious deficiencies in the timeliness of supervision and data accuracy.

[0003] With the development of technology, some remote supervision systems have begun to be applied to cleaning operation management, supervising cleaning staff by installing surveillance cameras and using time clock devices.

[0004] First, existing systems often only focus on the attendance of cleaning staff and the cleaning conditions of certain areas. Therefore, whether cleaning staff are on duty is judged only by clock-in records, and their actual working hours and work intensity in each area cannot be known. Simply relying on surveillance cameras to observe the cleaning conditions of certain areas cannot reflect the work quality of the entire cleaning area. Moreover, in the office floor cleaning operations, cleaning staff have the lazy behavior of slowing down the cleaning speed, but existing technology makes it difficult to evaluate this through quantitative indicators, which leads to inaccurate and incomplete evaluation of the cleaning staff's work completion.

[0005] Secondly, even if the existing system finds that the cleaning effect in certain areas is poor or the cleaning staff has not completed their work, it is difficult to quickly and reasonably adjust the subsequent cleaning frequency and task arrangements. It also does not fully consider the impact of dust concentration and weather conditions on cleaning work. This makes the cleaning work lack flexibility and specificity, and cannot adapt to the actual cleaning needs of different areas and different time periods.

[0006] Finally, the existing system cannot effectively integrate and analyze the various data collected, making it difficult to extract valuable information for optimizing cleaning management. This leads to a lack of scientific basis for management decisions and the inability to achieve refined cleaning operation management. Summary of the Invention

[0007] The purpose of the present invention is to provide a remote monitoring system for cleaning personnel operations, which solves the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solution, including a data acquisition module, a data processing module, a monitoring and alarm module and a parameter setting module;

[0009] The specific steps to implement supervision are as follows:

[0010] Step S1: using the parameter setting module, setting information including the preset time of a single cleaning session, the preset total number of cleaning sessions, and the weather factor for the cleaning staff of each cleaning area;

[0011] Step S2.1: The data collection module collects test information of each cleaning area, including the minimum step count increase and the minimum heart rate increase during the test phase;

[0012] Step S2.2: The data acquisition module receives the setting information and simultaneously collects real-time monitoring information including the actual total cleaning time, the actual total number of cleaning times, dust sensor information, step count change information, and heart rate change information of the day;

[0013] Step S3.1: The data processing module receives the setting information, the test information and the real-time monitoring information;

[0014] Step S3.2.1: Obtaining a cleaning completion degree based on the preset single cleaning time, the preset total number of cleanings, the actual total cleaning time, the actual total number of cleanings, the step count change information, the heart rate change information, and the test information;

[0015] Step S3.2.2: The monitoring and alarm module performs remote early warning monitoring based on the comparison result of the cleaning completion rate with the preset 100%;

[0016] Step S3.3: Obtaining the next day's adjustment coefficient based on the cleaning completion degree, the dust sensor information, and the sunshine / raininess coefficient;

[0017] Step S3.4: Obtaining a new total number of cleaning preset times based on the total number of cleaning preset times and the next day adjustment coefficient;

[0018] Step S4: the monitoring and alarm module receives the new preset total number of cleaning times as the preset total number of cleaning times for the next day plan, and allocates the next day plan;

[0019] Wherein, steps S2 to S4 are repeated without manually setting the next day plan.

[0020] The modules including data acquisition module, data processing module, supervision and alarm module and parameter setting module work together to form a complete closed loop from data acquisition to processing, and then to supervision, early warning and plan adjustment to ensure effective monitoring and management of each link of cleaning operations.

[0021] Optionally, the step number change information includes an initial step array before the cleaning operation begins and a final step array after the cleaning operation ends;

[0022] The heart rate change information includes an initial heart rate group before the cleaning operation begins and a final heart rate group after the cleaning operation ends;

[0023] The specific acquisition of the cleaning completion degree in step S3.2.1 is as follows:

[0024] Randomly extracting the initial step number, final step number, initial heart rate and final heart rate of the same single group within the actual total number of cleaning times from the initial step group, the final step group, the initial heart rate group and the final heart rate group;

[0025] Subtract the initial number of steps from the final number of steps to obtain a step difference;

[0026] Divide the step number difference by the initial step number to obtain the step number increase;

[0027] Subtracting the initial heart rate from the final heart rate to obtain a heart rate difference;

[0028] Divide the heart rate difference by the initial heart rate to obtain the heart rate increase;

[0029] Obtaining a comprehensive increase according to the step increase and the heart rate increase;

[0030] Obtaining a comprehensive minimum increase according to the minimum step count increase and the minimum heart rate increase;

[0031] Divide the comprehensive increase by the comprehensive minimum increase to obtain a lazy coefficient;

[0032] Obtaining the total cleaning preset time according to all the single cleaning preset times under the total cleaning preset times;

[0033] According to the positive proportional relationship between the actual total cleaning time and the preset total cleaning time, a time completion degree reflecting the completion ratio of the cleaning staff in terms of the cleaning stay time is obtained;

[0034] Obtaining a frequency completion degree reflecting the cleaning staff's completion ratio in terms of cleaning frequency based on a positive proportional relationship between the actual total number of cleaning times and the preset total number of cleaning times;

[0035] The time completion is added to the frequency completion, and then multiplied by the laziness coefficient and the preset 100% in sequence to obtain the cleaning completion that comprehensively considers the three aspects of stay time, cleaning frequency and laziness, and intuitively reflects the completion of the cleaning staff's planned work for the day.

[0036] Optionally, based on the cleaning completion degree, the early warning supervision of step S3.2.2 is specifically as follows:

[0037] If the comparison result shows that the cleaning completion degree is greater than or equal to the preset 100%, the remote warning of the monitoring and alarm module is not triggered;

[0038] If the comparison result shows that the cleaning completion rate is less than the preset 100%, the monitoring and alarm module remotely triggers an early warning.

[0039] Optionally, the dust sensor information includes the total number of sensors installed in each cleaning area for dust collection and the number of sensors exceeding the maximum sensor value in dust collection in each cleaning area on the day;

[0040] Wherein, the maximum sensing value is a manually set value;

[0041] When the dust collection exceeds the maximum sensor value, the data collection module transmits the exceeding signal to the monitoring and alarm module for early warning supervision, and the monitoring and alarm module remotely issues an emergency plan in real time.

[0042] Optionally, the specific acquisition of the next day adjustment coefficient in step S3.3 is as follows:

[0043] Convert the preset 100% according to the mathematical conversion relationship and obtain 1;

[0044] Subtract the cleaning completion degree from 1 to obtain the cleaning incompletion degree;

[0045] According to the positive proportional relationship between the cleaning unfinished degree and the cleaning completed degree, a relative degree characteristic reflecting the unfinished and overcompleted degree of the day's plan is obtained;

[0046] According to the positive proportional relationship between the number of sensor excesses and the total sensor amount, the cleaning effect characteristics reflected by the dust exceeding the maximum sensor value in each cleaning area on that day are obtained;

[0047] According to the relative degree characteristic and the cleaning effect characteristic, a comprehensive characteristic adjustment coefficient is obtained after comprehensively considering the degree of cleaning completion and the dust exceeding the standard on that day;

[0048] The parameter setting module is connected to the meteorological data interface to obtain the weather information of the day;

[0049] Based on the weather information, determine whether it is the rainy season on that day:

[0050] If it is the rainy season, the value of the sunshine / rain coefficient is automatically set to 1.2;

[0051] If it is not rainy season, the value of the sunshine coefficient is automatically set to 1;

[0052] The comprehensive characteristic adjustment coefficient is multiplied by the sunny and rainy coefficient to obtain the next day adjustment coefficient taking into account the weather conditions.

[0053] Optionally, the step S3.3 specifically obtains the total number of new cleaning preset times as follows:

[0054] The total number of cleaning preset times is multiplied by the next-day adjustment coefficient using the rounding rule to obtain the new total number of cleaning preset times.

[0055] Optionally, the devices used by the data acquisition module for collection include a smart bracelet and a dust sensor;

[0056] The equipment used by the data processing module includes a server;

[0057] The equipment used by the monitoring and alarm module and the parameter setting module includes a management terminal.

[0058] Optionally, the smart bracelet is used to obtain the actual total cleaning time, the actual total number of cleaning times, the step count change information, the heart rate change information and the test information;

[0059] The dust sensor is used to obtain the dust sensing information;

[0060] The server is used to obtain the cleaning completion degree, the next day adjustment coefficient and the total number of new cleaning preset times.

[0061] Optionally, the minimum step count increase amplitude and the minimum heart rate increase amplitude are obtained in the same manner as the step count increase amplitude and the heart rate increase amplitude during the test phase, specifically as follows:

[0062] Conduct cleaning operation tests on multiple groups of cleaning personnel in each cleaning area, and obtain the initial step count test group and initial heart rate test group before the start of the cleaning operation, as well as the final step count test group and final heart rate test group after the cleaning operation;

[0063] The initial step count test group, the initial heart rate test group, the final step count test group, and the final heart rate test group of each group are subjected to the method for obtaining the step count increase amplitude and the heart rate increase amplitude, thereby obtaining the test step count increase amplitude and the test heart rate increase amplitude of each group;

[0064] If heart rate monitoring is mainly used, the lowest increase in the test heart rate among the multiple groups is selected as the minimum step count increase and the minimum heart rate increase;

[0065] If step count monitoring is mainly used, the lowest increase in the number of test steps among the multiple groups is selected as the lowest increase in the number of steps and the lowest increase in the heart rate.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] 1. The present invention first comprehensively considers two important factors, namely the completion of cleaning staff's cleaning stay time and frequency, as recorded and reflected by the smart bracelet. This comprehensively considers the completion of cleaning staff's stay time and cleaning frequency in various areas of the office building. At the same time, the laziness coefficient, which measures laziness-related aspects, is obtained through step change information, heart rate change information and test information. This can effectively assess whether the cleaning staff has lazy behavior, making the assessment of cleaning completion more comprehensive and accurate.

[0068] 2. The present invention takes into account the impact of dust concentration in different areas of the office building on cleaning work by introducing a positive proportional relationship between the number of sensor over-limits and the total amount of sensors. At the same time, based on the weather information of the day obtained from the meteorological data interface, it can determine whether it is the rainy season that day, and automatically set the sunny and rainy coefficient according to the rainy season and non-rainy season, so that the adjustment of the cleaning frequency is more in line with the actual environmental needs. When the cleaning completion rate is low and the cleaning effect characteristics are high, or when it is in the rainy season, the adjustment coefficient of the next day increases, indicating that the cleaning frequency needs to be increased. On the contrary, the adjustment coefficient of the next day decreases, which can reduce the cleaning frequency, avoid waste of resources, and thus achieve a reasonable allocation of cleaning resources.

[0069] 3. The present invention integrates and analyzes various collected data through the cooperation of the data acquisition module, data processing module, supervision and alarm module and parameter setting module, and can deeply explore the information behind the data.

[0070] Among them, by analyzing the changing trends of cleaning completion, we can understand the work performance of cleaning staff and the fluctuations in work quality. By observing the adjustment coefficient of the next day, we can judge the impact of different factors on the adjustment of the cleaning plan. These analysis results provide managers with a scientific decision-making basis and help to achieve refined cleaning operation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A flow chart of the method and steps of the remote monitoring system for cleaning staff operations;

[0072] Figure 2 This is a schematic diagram of the data acquisition module in the present invention collecting setting information, test information and real-time monitoring information. DETAILED DESCRIPTION

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0074] Regarding this remote supervision system for cleaning staff operations, it is different from the existing remote supervision system for cleaning staff operations. The existing remote supervision system for cleaning staff operations lacks comprehensive evaluation indicators, cannot dynamically adjust the cleaning plan, and has limited data processing and analysis capabilities. This algorithm unit comprehensively evaluates the completion of cleaning operations, dynamically adjusts the cleaning plan, and has powerful data processing and analysis capabilities.

[0075] For example 1, please refer to Figure 1 and Figure 2 ,This implementation provides a remote supervision system for cleaning personnel operations, including a data acquisition module, a data processing module, a supervision and alarm module, and a parameter setting module;

[0076] The specific steps to implement supervision are as follows:

[0077] Step S1: Using the parameter setting module, set the setting information including the single cleaning preset time, the total number of cleaning preset times and the sunny and rainy coefficient for the cleaning staff of each cleaning area;

[0078] Step S2.1: The data collection module collects test information of each cleaning area, including the minimum step count increase and the minimum heart rate increase during the test phase;

[0079] Step S2.2: The data acquisition module receives the setting information and simultaneously collects real-time monitoring information including the actual total cleaning time, the actual total number of cleaning times, dust sensor information, step count change information, and heart rate change information of the day;

[0080] Step S3.1: The data processing module receives setting information, test information and real-time monitoring information;

[0081] Step S3.2.1: Obtain cleaning completion based on the preset time for a single cleaning session, the preset total number of cleaning sessions, the actual total cleaning time, the actual total number of cleaning sessions, the step count change information, the heart rate change information, and the test information;

[0082] Step S3.2.2: The monitoring and alarm module performs remote early warning monitoring based on the comparison result of the cleaning completion rate with the preset 100%;

[0083] Step S3.3: Obtain the next day's adjustment coefficient based on the cleaning completion degree, dust sensor information, and the weather coefficient;

[0084] Step S3.4: Obtain a new total number of cleaning preset times based on the total number of cleaning preset times and the next day adjustment coefficient;

[0085] Step S4: The monitoring and alarm module receives the new preset total number of cleaning times as the preset total number of cleaning times for the next day, and allocates the next day's plan;

[0086] Wherein, steps S2 to S4 are repeated without manually setting the next day plan;

[0087] The equipment used by the data acquisition module for collection includes smart bracelets and dust sensors;

[0088] The equipment used by the data processing module includes a server;

[0089] The equipment used by the monitoring and alarm module and the parameter setting module includes a management terminal;

[0090] The smart bracelet is used to obtain the actual total cleaning time, the actual total number of cleaning times, step count change information, heart rate change information and test information;

[0091] The dust sensor is used to obtain dust sensing information;

[0092] The server is used to obtain the cleaning completion rate, the next day adjustment coefficient and the total number of new cleaning presets.

[0093] In this embodiment, the system, through steps S1 to S4, and the collaboration of the data acquisition module, data processing module, supervision and alarm module, and parameter setting module, provides a remote supervision system for cleaning personnel operations with the beneficial effects of comprehensively evaluating the completion of cleaning operations, dynamically adjusting cleaning plans, and having powerful data processing and analysis capabilities.

[0094] First, based on the preset time for a single cleaning session, the preset total number of cleaning sessions, the actual total cleaning time, the actual total number of cleaning sessions, step count changes, heart rate changes, and test information, a comprehensive assessment of the day's cleaning completion rate, including laziness factors, is conducted to provide a basis for subsequent calculations.

[0095] Secondly, based on the cleaning completion rate and combined with the weather conditions and dust sensor information, the next day's adjustment coefficient is dynamically adjusted to optimize resource allocation;

[0096] Finally, the next day's executable plan is determined based on the next day's adjustment coefficient, that is, the total number of new cleaning presets, to achieve dynamic updates;

[0097] The three-way cycle continuously optimizes cleaning quality, enhances the adaptability and intelligence of remote monitoring systems, provides a scientific basis for management decisions, and improves the comprehensiveness, accuracy, and management efficiency of remote monitoring systems for cleaning operations.

[0098] In addition, the minimum step increase and the minimum heart rate increase during the experimental phase are obtained in the same way as the step increase and the heart rate increase, as follows:

[0099] Conduct cleaning operation tests on multiple groups of cleaning personnel in each cleaning area, and obtain the initial step count test group and initial heart rate test group before the start of the cleaning operation, as well as the final step count test group and final heart rate test group after the cleaning operation;

[0100] The initial step count test group, initial heart rate test group, final step count test group and final heart rate test group of each group were divided into the following groups: the increase amplitude of the test step count and the increase amplitude of the test heart rate of each group were obtained according to the method of obtaining the increase amplitude of the step count and the increase amplitude of the heart rate;

[0101] If heart rate monitoring is the main method, the lowest increase in heart rate among the multiple groups is selected as the lowest step increase and the lowest heart rate increase;

[0102] If step count monitoring is the main focus, the group with the lowest increase in test step count among multiple groups will be selected as the lowest step count increase and the lowest heart rate increase.

[0103] See also Figure 1 and Figure 2 ,The step number change information includes the initial step array before the cleaning operation begins and the final step array after the cleaning operation ends;

[0104] The heart rate change information includes the initial heart rate group before the cleaning operation begins and the final heart rate group after the cleaning operation ends;

[0105] Step S3.2.1 specifically obtains the cleaning completion degree as follows:

[0106] From the initial step array, final step array, initial heart rate group, and final heart rate group, randomly extract the initial step number, final step number, initial heart rate, and final heart rate of the same single group within the actual total number of cleaning times;

[0107] Subtract the initial number of steps from the final number of steps to obtain the step difference;

[0108] Divide the step difference by the initial step number to get the increase in step number;

[0109] Subtract the initial heart rate from the final heart rate to obtain the heart rate difference;

[0110] Divide the heart rate difference by the initial heart rate to obtain the heart rate increase;

[0111] According to the increase in step count and heart rate, the comprehensive increase is obtained;

[0112] According to the minimum step increase and the minimum heart rate increase, the comprehensive minimum increase is obtained;

[0113] Divide the comprehensive increase by the comprehensive minimum increase to obtain the lazy coefficient;

[0114] Get the total cleaning preset time based on all single cleaning preset times under the total cleaning preset times;

[0115] Based on the positive proportional relationship between the actual total cleaning time and the preset total cleaning time, the time completion degree reflecting the completion ratio of the cleaning staff in terms of cleaning stay time is obtained;

[0116] According to the positive proportional relationship between the total number of actual cleaning times and the total number of preset cleaning times, the frequency completion rate reflecting the cleaning staff's completion rate in terms of cleaning frequency is obtained;

[0117] The time completion is added to the frequency completion, and then multiplied by the laziness coefficient and the preset 100% in sequence to obtain the cleaning completion.

[0118] In this embodiment, the calculation formula for cleaning completion is as follows:

[0119] ;

[0120] in:

[0121] BW is the degree of cleaning completion;

[0122] T is the actual total cleaning time, and T0 is the preset total cleaning time;

[0123] P is the total number of actual cleaning times, and P0 is the total number of preset cleaning times;

[0124] L is the laziness coefficient;

[0125] a and b are the weight coefficients introduced by the residence time and cleaning frequency respectively, and a+b=1;

[0126] The specific values ​​of a and b are set manually based on the emphasis on supervision of residence time and cleaning frequency;

[0127] The calculation result is the time completion degree;

[0128] The result of the calculation is the frequency completion.

[0129] Among them, the settings of a and b enable the system to flexibly adjust the importance of residence time and cleaning frequency in the evaluation according to different cleaning scenarios and management needs.

[0130] For areas that require high timeliness of cleaning, increase the weight of cleaning frequency a;

[0131] For areas that require deep cleaning, increase the weight of the dwell time b;

[0132] This flexibility enables the evaluation system to adapt to diverse cleaning work requirements and improves the pertinence and accuracy of the evaluation.

[0133] The calculation formula of the laziness coefficient is as follows:

[0134] ;

[0135] L is the laziness coefficient;

[0136] B a is the initial number of steps, B b is the final number of steps, B min Increase the amplitude for the minimum number of steps;

[0137] The result is the increase in the number of steps;

[0138] L a is the initial heart rate, L b is the final heart rate, L min Increase the minimum heart rate;

[0139] The result is the increase in heart rate;

[0140] The result is the comprehensive increase;

[0141] The result is the comprehensive minimum increase;

[0142] f1 and f2 are weight coefficients introduced in terms of step number and heart rate, respectively, and f1+f2=1;

[0143] Set the specific values ​​of f1 and f2 according to the emphasis on steps and heart rate;

[0144] The calculated cleaning completion rate (BW) for the day is an important basis for subsequent calculations and management decisions. The cleaning completion rate (BW) intuitively demonstrates the cleaning staff's work results for the day and provides a clear quantitative basis for determining whether the cleaning plan needs to be adjusted and for rewarding or punishing cleaning staff.

[0145] It is worth noting that if the cleaning completion rate BW is lower than 100%, it means that the cleaning work planned for the day has not met expectations, and further analysis of the reasons and corresponding improvement measures need to be taken.

[0146] See also Figure 1 and Figure 2,The dust sensor information includes the total number of sensors installed in each cleaning area for dust collection and the number of sensors exceeding the maximum sensor value in the dust collection of each cleaning area on the same day;

[0147] Among them, the maximum sensing value is the manually set value;

[0148] When the dust collection exceeds the maximum sensor value, the data collection module will transmit the exceeding signal to the monitoring and alarm module for early warning supervision, and the monitoring and alarm module will remotely issue an emergency plan in real time;

[0149] Step S3.3 specifically obtains the next day's adjustment coefficient as follows:

[0150] Convert the preset 100% according to the mathematical conversion relationship and obtain 1;

[0151] Subtract the cleaning completion degree from 1 to get the cleaning incompleteness degree;

[0152] Based on the positive proportional relationship between the degree of unfinished cleaning and the degree of completed cleaning, the relative degree characteristics reflecting the unfinished and overcompleted plans for the day are obtained;

[0153] According to the positive proportional relationship between the number of excess sensors and the total number of sensors, the cleaning effect characteristics reflected by the dust exceeding the maximum sensor value in each cleaning area on that day are obtained;

[0154] Obtaining a comprehensive characteristic adjustment coefficient according to the relative degree characteristic and the cleaning effect characteristic;

[0155] The parameter setting module is connected to the meteorological data interface to obtain the weather information of the day;

[0156] According to the weather information, determine whether it is the rainy season today:

[0157] If it is the rainy season, the value of the sunshine coefficient is automatically set to 1.2;

[0158] If it is not rainy season, the value of the sunshine coefficient is automatically set to 1;

[0159] The comprehensive characteristic adjustment coefficient is multiplied by the sunshine / raininess coefficient to obtain the next day adjustment coefficient.

[0160] In this embodiment, the calculation formula of the next day adjustment coefficient is as follows:

[0161] ;

[0162] in:

[0163] X is the next day adjustment coefficient;

[0164] CG exceed is the number of sensor overruns, CG total is the total amount of sensing;

[0165] J is the weather coefficient;

[0166] c and d are the weight coefficients introduced by the degree of cleaning completion and the dust exceeding the standard, respectively. Similar to a and b, c + d = 1;

[0167] The specific values ​​of c and d are set manually based on the emphasis on monitoring the degree of cleaning completion and the amount of dust exceeding the standard;

[0168] The calculation result is the relative degree feature, among which the result of 1-BW is the degree of incomplete cleaning;

[0169] The calculation result is the cleaning effect characteristic.

[0170] This embodiment can accurately reflect the direction and magnitude of the cleaning frequency adjustment required by calculating and processing the cleaning effect characteristics and relative degree characteristics:

[0171] When the cleaning completion degree BW<100%, A positive value will increase the adjustment coefficient X of the next day, thereby increasing the cleaning frequency;

[0172] When the cleaning completion degree BW>100%, A negative value will reduce the next day's adjustment coefficient X, thereby reducing the cleaning frequency;

[0173] at the same time, The calculation result of the cleaning effect characteristic will also have a corresponding impact on the next day's adjustment coefficient X, making the adjustment more in line with the actual cleaning needs;

[0174] In summary, the next-day adjustment coefficient X, obtained by taking into account weather factors and the actual completion of cleaning work, enables the system to better adapt to different environmental changes and cleaning work conditions. Whether it is sunny or rainy, the system can dynamically adjust the cleaning plan based on real-time data, enhancing the system's adaptability to the complex and changing office building cleaning environment and ensuring that cleaning work always meets actual needs.

[0175] See also Figure 1 , step S3.3 specifically obtains the total number of new cleaning preset times as follows:

[0176] Using the rounding rule, multiply the total number of cleaning presets by the next day adjustment coefficient to obtain the new total number of cleaning presets.

[0177] In this embodiment, the calculation formula for the total number of new cleaning preset times is as follows:

[0178] ;

[0179] in:

[0180] P0 new Preset the total number of times for the new cleaning;

[0181] Among them, the round function follows the rounding rule and is used to round This function rounds the result of multiplication to a specified number of decimal places.

[0182] Multiply the total number of cleaning preset times by the next day adjustment coefficient and round it off to the nearest integer. The calculation part of the calculation can obtain the total number of new cleaning presets P0 new This calculation method converts the theoretical adjustment coefficient into an actual and operational cleaning frequency value, providing clear and specific work guidance for cleaning personnel. In addition, when the calculation result is a decimal, it is rounded off to avoid the occurrence of non-integer cleaning frequencies that cannot be implemented, making the cleaning plan more operational.

[0183] The total number of new cleaning preset times P0 in this embodiment new This forms a circular feedback mechanism, which enables the system to continuously adjust the subsequent cleaning plan according to the actual cleaning situation of the previous day. If the cleaning completion degree BW of the previous day is low, that is, the cleaning completion degree BW is less than 100%, then steps S3.2.1 and S3.3 will increase the cleaning frequency of the next day, and then the new cleaning preset total number P0 will be used. new Under this condition, the cleaning staff will have more cleaning operations in their next day plan, which will increase the actual total number of cleaning operations P on that day, and thus improve the cleaning completion degree BW on the next day;

[0184] On the contrary, if the cleaning completion rate BW is high and the environment is in good condition the day before, the system will appropriately reduce the cleaning frequency to avoid excessive cleaning while maintaining a high cleaning quality.

[0185] This cyclical effect helps to continuously optimize the quality of cleaning operations, enabling cleaning work to achieve optimal results through continuous adjustments. Furthermore, the system can automatically adapt to changes in cleaning needs in different time periods and areas, thereby achieving intelligent remote cleaning management.

[0186] Among them, it should be noted that when obtaining the new cleaning preset total number P0 new At the same time, due to the new cleaning preset total number P0 new The total cleaning preset time T0 will also change with the new total cleaning preset times P0 new Regarding the increase or decrease in the number of times, the preset total cleaning time T0 is increased or decreased.

[0187] For example 2, please refer to Figure 1, the early warning supervision of step S3.2.2 is as follows:

[0188] If the comparison result shows that the cleaning completion rate is greater than or equal to the preset 100%, the remote warning of the monitoring and alarm module will not be triggered;

[0189] If the comparison result shows that the cleaning completion rate is less than the preset 100%, the supervision and alarm module will remotely trigger an early warning.

[0190] In this embodiment, when the cleaning completion degree BW is less than the preset 100%, the supervision and alarm module remotely triggers an early warning, allowing managers to promptly learn that the cleaning work has not been completed as planned, and then quickly discover problems through early warnings.

[0191] The early warning mechanism of the supervision and alarm module avoids managers from having to carry out a large amount of manual inspections and data verification work. Once cleaning is not completed, the system automatically triggers an early warning, saving time and labor costs, enabling managers to handle problems more efficiently, concentrate on solving key problems, and improve the efficiency of the entire cleaning operation management.

[0192] It is worth mentioning that early warning supervision is an important part of the entire remote supervision system for cleaning personnel operations. Its effective operation enhances the reliability and stability of the system, and can provide timely feedback on abnormal situations in cleaning operations, enabling the system to continuously and accurately supervise and manage cleaning work, providing strong support for the realization of refined cleaning operation management.

[0193] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring system for cleaning staff operations, characterized in that: It includes data acquisition module, data processing module, supervision and alarm module and parameter setting module; The specific steps to implement supervision are as follows: Step S1: using the parameter setting module, setting information including the preset time of a single cleaning session, the preset total number of cleaning sessions, and the weather factor for the cleaning staff of each cleaning area; Step S2.1: The data collection module collects test information of each cleaning area, including the minimum step count increase and the minimum heart rate increase during the test phase; Step S2.2: The data acquisition module receives the setting information and simultaneously collects real-time monitoring information including the actual total cleaning time, the actual total number of cleaning times, dust sensor information, step count change information, and heart rate change information of the day; Step S3.1: The data processing module receives the setting information, the test information and the real-time monitoring information; Step S3.2.1: Obtaining a cleaning completion degree based on the preset single cleaning time, the preset total number of cleanings, the actual total cleaning time, the actual total number of cleanings, the step count change information, the heart rate change information, and the test information; The calculation formula for cleaning completion is as follows: ； in: BW is the degree of cleaning completion; T is the actual total cleaning time, and T0 is the preset total cleaning time; P is the total number of actual cleaning times, and P0 is the total number of preset cleaning times; L is the laziness coefficient; a and b are the weight coefficients introduced by the residence time and cleaning frequency respectively, and a+b=1; The calculation formula of the laziness coefficient is as follows: ； L is the laziness coefficient; B a is the initial number of steps, B b is the final number of steps, B min Increase the amplitude for the minimum number of steps; The result is the increase in the number of steps; L a is the initial heart rate, L b is the final heart rate, L min Increase the minimum heart rate; The result is the increase in heart rate; The result is the comprehensive increase; The result is the comprehensive minimum increase; f1 and f2 are weight coefficients introduced in terms of step number and heart rate, respectively, and f1+f2=1; Step S3.2.2: The monitoring and alarm module performs remote early warning monitoring based on the comparison result of the cleaning completion rate with the preset 100%; Step S3.3: Obtaining the next day's adjustment coefficient based on the cleaning completion degree, the dust sensor information, and the sunshine / raininess coefficient; The calculation formula for the next day adjustment coefficient is as follows: ； in: X is the next day adjustment coefficient; CG exceed is the number of sensor overruns, CG total is the total amount of sensing; J is the weather coefficient; c and d are the weight coefficients introduced by the degree of cleaning completion and the dust exceeding the standard, respectively, c + d = 1; Step S3.4: Obtaining a new total number of cleaning preset times based on the total number of cleaning preset times and the next day adjustment coefficient; Step S4: the monitoring and alarm module receives the new preset total number of cleaning times as the preset total number of cleaning times for the next day plan, and allocates the next day plan; Wherein, steps S2 to S4 are repeated without manually setting the next day plan.

2. A remote monitoring system for cleaning staff operations according to claim 1, characterized in that: The step number change information includes an initial step array before the cleaning operation begins and a final step array after the cleaning operation ends.

3. A remote monitoring system for cleaning staff operations according to claim 2, characterized in that: Based on the cleaning completion degree, the early warning supervision of step S3.2.2 is as follows: If the comparison result shows that the cleaning completion degree is greater than or equal to the preset 100%, the remote warning of the monitoring and alarm module is not triggered; If the comparison result shows that the cleaning completion rate is less than the preset 100%, the monitoring and alarm module remotely triggers an early warning.

4. A remote monitoring system for cleaning staff operations according to claim 2, characterized in that: The dust sensor information includes the total number of sensors installed in each cleaning area for dust collection and the number of sensors exceeding the maximum sensor value in the dust collection of each cleaning area on the same day; Wherein, the maximum sensing value is a manually set value; When the dust collection exceeds the maximum sensor value, the data collection module transmits the exceeding signal to the monitoring and alarm module for early warning supervision, and the monitoring and alarm module remotely issues an emergency plan in real time.

5. A remote monitoring system for cleaning staff operations according to claim 4, characterized in that: The parameter setting module is connected to the meteorological data interface to obtain the weather information of the day; Based on the weather information, determine whether it is the rainy season on that day: If it is the rainy season, the value of the sunshine / rain coefficient is automatically set to 1.2; If it is not the rainy season, the value of the sunshine / rain coefficient is automatically set to 1.

6. A remote monitoring system for cleaning staff operations according to claim 5, characterized in that: The specific acquisition of the new cleaning preset total number of times in step S3.3 is as follows: The total number of cleaning preset times is multiplied by the next-day adjustment coefficient using the rounding rule to obtain the new total number of cleaning preset times.

7. A remote monitoring system for cleaning staff operations according to claim 6, characterized in that: The equipment used by the data acquisition module for collection includes a smart bracelet and a dust sensor; The equipment used by the data processing module includes a server; The equipment used by the monitoring and alarm module and the parameter setting module includes a management terminal.

8. A remote monitoring system for cleaning staff operations according to claim 7, characterized in that: The smart bracelet is used to obtain the actual total cleaning time, the actual total number of cleaning times, the step count change information, the heart rate change information and the test information; The dust sensor is used to obtain the dust sensing information; The server is used to obtain the cleaning completion degree, the next day adjustment coefficient and the total number of new cleaning preset times.

9. A remote monitoring system for cleaning staff operations according to claim 2, characterized in that: The minimum step count increase amplitude and the minimum heart rate increase amplitude are obtained in the same manner as the step count increase amplitude and the heart rate increase amplitude during the test phase, specifically as follows: Conduct cleaning operation tests on multiple groups of cleaning personnel in each cleaning area, and obtain the initial step count test group and initial heart rate test group before the start of the cleaning operation, as well as the final step count test group and final heart rate test group after the cleaning operation; Obtain the test step count increase amplitude and test heart rate increase amplitude of each group according to the method for obtaining the step count increase amplitude and the heart rate increase amplitude for the initial step count test group, the initial heart rate test group, the final step count test group and the final heart rate test group of each group; If heart rate monitoring is mainly used, the lowest increase in the test heart rate among the multiple groups is selected as the minimum step count increase and the minimum heart rate increase; If step count monitoring is mainly used, the lowest increase in the number of test steps among the multiple groups is selected as the lowest increase in the number of steps and the lowest increase in the heart rate.

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