CN116384682A - Intelligent factory personnel flow detection system and detection method thereof - Google Patents
Intelligent factory personnel flow detection system and detection method thereof Download PDFInfo
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Abstract
The invention discloses a smart factory personnel flow detection system and a detection method thereof, wherein the personnel flow detection method comprises the following steps: acquiring a preset detection time interval and production requirements of each production line in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold; detecting the production condition of each production line in a factory and the number of staff corresponding to each production line according to the detection time interval, wherein the production condition comprises production efficiency and production progress; calculating the personnel flow condition in each detection time interval according to the number of personnel detected each time; judging whether the personnel flow conditions are reasonable according to the production requirements of each production line and the detected corresponding production conditions, if not, generating a corresponding personnel allocation scheme and allocating personnel among the production lines. The personnel flow detection method and the detection system using the same improve the judgment precision of the personnel flow condition and the personnel allocation precision.
Description
Technical Field
The invention relates to the technical field of intelligent factories, in particular to a system and a method for detecting personnel flow in an intelligent factory.
Background
The intelligent factory is embedded by various sensing devices, monitors and predicts the conditions of personnel, products, energy consumption and the like of various production lines in the factory in real time, can discover and manage and control abnormal conditions in time in the production process, can replace manpower in some dangerous and pollution links in the production process by machines, can realize green manufacturing, and can avoid influencing the physical health of staff. Therefore, with the further maturation of modern technologies such as wireless sensor manufacturing technology, internet of things technology, intelligent robot control technology, etc., intelligent factories will gradually replace traditional manufacturing factories.
However, in the existing production management control process of an intelligent factory, the management and control of the processing progress of each production line and the allocation of staff among the production lines are mostly carried out by a manager of the production line according to own experience, but the manual management mode cannot accurately judge whether the control of the personnel flow is optimal or not, and the problems of lower personnel flow condition judgment precision and personnel allocation precision exist.
Disclosure of Invention
In order to improve personnel flow condition judgment precision and personnel allocation precision, the application provides an intelligent factory personnel flow detection system and a detection method thereof.
In a first aspect, the present application provides a method for detecting the flow of intelligent factory personnel, which adopts the following technical scheme, and the method for detecting the flow of intelligent factory personnel includes the following steps:
acquiring a preset detection time interval and production requirements of each production line in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold;
detecting the production condition of each production line and the number of staff corresponding to each production line in a factory according to the detection time interval, wherein the production condition comprises production efficiency and production progress;
according to the number of staff detected each time, calculating the personnel flow condition in each detection time interval;
judging whether the production line meets the production requirements or not according to the production requirements of each production line and the detected corresponding production conditions, judging whether the personnel flow conditions are reasonable or not according to the judging results of whether the production lines meet the production requirements or not, if not, generating a corresponding personnel allocation scheme, and allocating personnel among the production lines according to the personnel allocation scheme.
By adopting the technical scheme, the production conditions of all production lines in a factory and the number of staff corresponding to all production lines are detected at regular time, whether the personnel flow conditions are reasonable or not is judged according to the detection result and the production requirements of all production lines, if not, a corresponding personnel allocation scheme is generated, personnel between the production lines are allocated in time, and the judgment precision of the personnel flow conditions and the personnel allocation precision are improved.
In a specific embodiment, the production line includes an emergency production line and a non-emergency production line, and the personnel flow detection method further includes a determination as to whether the emergency production line meets the production requirement, specifically:
and acquiring the production efficiency and the production progress of the emergency production line, judging whether the emergency production line can finish production on schedule according to the production efficiency, the production progress and the finishing date of the emergency production line, and if the emergency production line cannot finish production on schedule, failing to meet the production requirement.
By adopting the technical scheme, for the urgent production line with the deadline requirement, whether the production can be finished on time or not is estimated according to the current production efficiency and the production progress, and whether the urgent production line can meet the production requirement is further judged.
In a specific embodiment, the obtaining the production efficiency and the production progress of the emergency production line is specifically:
obtaining the production quantity in the detection time interval of two adjacent times of the emergency production line, and obtaining the production efficiency of the emergency production line according to the production quantity in the detection time interval of two adjacent times of the emergency production line and a preset detection time interval;
and acquiring the accumulated production quantity of the emergency production line, and obtaining the production progress of the emergency production line according to the accumulated production quantity of the emergency production line and the total production quantity of the emergency production line.
In a specific embodiment, the personnel flow detection method further includes determining whether the non-urgent production line meets the production requirement, specifically:
and acquiring the production efficiency of the non-urgent production line, comparing the production efficiency of the non-urgent production line with a preset production efficiency threshold, and if the production efficiency of the non-urgent production line is smaller than the preset production efficiency threshold, failing to meet the production requirement of the non-urgent production line.
By adopting the technical scheme, for the non-urgent production line without deadline requirements or urgency, only whether the current production efficiency can catch up with the preset production efficiency threshold is needed to be judged, if the current production efficiency is smaller than the preset production efficiency threshold, the production speed of the production line is too slow, and accordingly personnel are needed to be increased, so that the production speed is improved.
In a specific embodiment, the obtaining the production efficiency of the non-urgent production line is specifically:
and obtaining the production quantity in the detection time interval of two adjacent times of the non-urgent production line, and obtaining the production efficiency of the non-urgent production line according to the production quantity in the detection time interval of two adjacent times of the non-urgent production line and the preset detection time interval.
In a specific embodiment, after the personnel between the production lines are allocated according to the personnel allocation scheme, the method further comprises:
the method comprises the steps of obtaining personnel average production efficiency before personnel allocation and personnel average production efficiency after personnel allocation in a production line with the number of the personnel changed, comparing the personnel average production efficiency before personnel allocation with the personnel average production efficiency after personnel allocation, and marking personnel allocated in the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result, or marking personnel allocated out of the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result.
Through adopting above-mentioned technical scheme, high efficiency staff represents the higher staff of work efficiency, and low efficiency staff represents the lower staff of work efficiency, classifies staff and marks, can provide the reference when the personnel to the production line between when transferring, has improved the rationality that personnel allocated.
In a specific embodiment, the preparation for the urgent and non-urgent lines, when preparing personnel between the lines, specifically comprises:
aiming at an emergency production line, high-efficiency staff are allocated; for non-urgent production lines, low-efficiency staff are allocated.
By adopting the technical scheme, staff with different work efficiency can be allocated correspondingly according to the urgent production line and the non-urgent production line, so that the rationality of staff allocation is improved.
In a specific embodiment, the production condition of each production line in the factory and the number of staff corresponding to each production line are detected according to the detection time interval, and if the number of staff of each production line has no change in the results of two adjacent detections, the value of the detection time interval is increased.
By adopting the technical scheme, if the number of staff of each production line is unchanged in the results of two adjacent detection, namely, the staff of the production line does not flow in the two adjacent detection time intervals, the preset detection time interval is set too short, the value of the detection time interval is correspondingly increased, and the detection time interval is set more reasonably.
In a second aspect, the present application provides an intelligent plant personnel flow detection system, which adopts the following technical scheme, and the intelligent plant personnel flow detection system includes:
the acquisition module is used for acquiring a preset detection time interval and production requirements of all production lines in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold;
the detection module is used for detecting the production condition of each production line in the factory and the number of staff corresponding to each production line according to the detection time interval, wherein the production condition comprises production efficiency and production progress;
the calculation module is used for calculating the personnel flow condition in each detection time interval according to the number of staff detected each time;
and the personnel flow judging and allocating module is used for judging whether the production line meets the production requirement according to the production requirement of each production line and the detected corresponding production condition, judging whether the personnel flow condition is reasonable according to the judging result of whether each production line meets the production requirement, and generating a corresponding personnel allocation scheme if the personnel flow condition is not reasonable.
Through adopting above-mentioned technical scheme, wisdom mill personnel flow detecting system detects the production condition of each production line and the staff quantity that each production line corresponds in the mill through regularly, and whether the personnel flow condition is reasonable according to the result of detection combines the production demand of each production line, if unreasonable, then generates corresponding personnel allocation scheme to in time allocate the personnel between the production line, improved the judgement precision and the personnel allocation precision to personnel flow condition.
In a third aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme: the computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the intelligent plant personnel flow detection method described above.
By adopting the technical scheme, the production conditions of all production lines in a factory and the number of staff corresponding to all production lines are detected at regular time, whether the personnel flow conditions are reasonable or not is judged according to the detection result and the production requirements of all production lines, if not, a corresponding personnel allocation scheme is generated, personnel between the production lines are allocated in time, and the judgment precision of the personnel flow conditions and the personnel allocation precision are improved.
In summary, the technical scheme of the application at least comprises the following beneficial technical effects:
1. the production condition of each production line and the number of staff corresponding to each production line in a factory are detected at regular time, whether the personnel flow condition is reasonable or not is judged according to the detection result and the production requirements of each production line, if not, a corresponding personnel allocation scheme is generated, personnel between the production lines are allocated in time, and the judgment precision of the personnel flow condition and the personnel allocation precision are improved.
Drawings
FIG. 1 is an overall flow chart of a method of detecting human flow in an embodiment of the present application.
FIG. 2 is a flow chart of determining whether an urgent production line meets production requirements in an embodiment of the present application.
FIG. 3 is a flow chart of determining whether a non-urgent production line meets production requirements in an embodiment of the present application.
FIG. 4 is a system block diagram of a personnel flow detection system in an embodiment of the present application.
Description of the drawings: 1. an acquisition module; 2. a detection module; 3. a computing module; 4. and a personnel flow judging and allocating module.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Embodiment one:
an embodiment of the present application discloses a smart factory personnel flow detection method, referring to fig. 1, the smart factory personnel flow detection method includes the following steps:
s100: and acquiring a preset detection time interval and production requirements of each production line in the factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold.
The preset detection time interval may be 3 hours, 5 hours, 10 hours, 1 day, 2 days, etc., and those skilled in the art may be set in combination with actual conditions of the factory, which is not limited in this application. The finishing date is the date that each production line needs to finish, and the total production quantity is the total quantity of products that the production line needs to produce.
S200: and detecting the production condition of each production line and the number of staff corresponding to each production line in the factory according to the preset detection time interval, wherein the production condition comprises production efficiency and production progress.
For example, if n production lines exist in the factory, and the preset detection time interval is 5 hours, the production conditions of the n production lines and the number of staff corresponding to each production line are detected at regular intervals of 5 hours, that is, each detection can obtain: production line 1 and number of employees in production line 1, production line 2 and number of employees in production line 2, production line 3 and number of employees in production line 3 … … and number of employees in production line n.
S300: and according to the number of staff detected each time, calculating the personnel flow condition in each detection time interval.
S400: judging whether the production line meets the production requirements or not according to the production requirements of each production line and the detected corresponding production conditions, judging whether the personnel flow conditions are reasonable or not according to the judging result of whether the production lines meet the production requirements or not, if not, generating a corresponding personnel allocation scheme, and allocating personnel among the production lines according to the personnel allocation scheme.
In the production process, a manager of the production line judges the production line with excessive staff numbers and obvious staff redundancy by observing at any time and combining with own experience, and randomly selects part of staff from the production line to be allocated to the production line with relatively less staff numbers or to be allocated to the production line with very close finishing date but slower production progress. However, because the manual management mode cannot accurately judge whether the control of personnel flow is optimal or not, the problems of lower personnel flow condition judging precision and personnel allocation precision exist, the production conditions of all production lines and the number of personnel corresponding to all production lines are detected at regular intervals of preset detection time, whether the personnel flow between the production lines is reasonable or not is judged according to the detection result and the production requirements of all the production lines, if not, a corresponding personnel allocation scheme is generated, personnel between the production lines are allocated in time, the personnel flow condition judging precision and the personnel allocation precision are improved, all the production lines meet the production requirements, and the production is completed on schedule.
Further, when judging whether each production line meets the production requirement according to the production requirement of each production line and the detected corresponding production condition, the production lines can be divided into an urgent production line and a non-urgent production line according to actual conditions and different detection and judgment modes are adopted, and referring to fig. 2, the following steps are specifically performed for judging whether the urgent production line meets the production requirement:
the production efficiency and the production progress of the emergency production line are obtained, whether the emergency production line can finish production on schedule is judged according to the production efficiency, the production progress and the finishing date of the emergency production line, and if the emergency production line cannot finish production on schedule, the emergency production line does not meet the production requirements.
The production efficiency and the production progress of the emergency production line are obtained, and the method specifically comprises the following steps:
obtaining the production quantity in the detection time interval of two adjacent times of the emergency production line, and obtaining the production efficiency of the emergency production line according to the production quantity in the detection time interval of two adjacent times of the emergency production line and a preset detection time interval;
and acquiring the accumulated production quantity of the emergency production lines, and obtaining the production progress of each emergency production line according to the accumulated production quantity of the emergency production lines and the total production quantity of the emergency production lines.
It should be noted that, the number of products in the time interval between two adjacent detection can be understood as the number of products produced from the last detection to the current detection, and the calculation formula of the production efficiency is as follows: production efficiency = number of productions in two adjacent detection time intervals/preset detection time interval; the accumulated production quantity is the quantity of products accumulated from the beginning of production to the current detection, and the calculation formula of the production progress is as follows: production progress = cumulative production quantity/total production quantity 100%.
The following examples specifically illustrate the detection and judgment of the emergency production line: the production line 1 is an emergency production line, the preset detection time interval is 1 day, the total production amount of the production line 1 is 1000, and the date detected by the production line 1 at the time is 20 days away from the finishing date according to the finishing date of the production line 1.
If the number of products produced by the production line 1 from last detection to this detection is 50, that is, the number of products produced by the production line 1 in the interval between two adjacent detection times is 50, the production efficiency of the production line 1 can be obtained as follows: 50/1 = 50 pieces/1 day; if the number of products produced in the production line 1 is 400 from the start of production to the current detection, that is, the number of products produced in the accumulation is 400, the production progress of the production line 1 can be obtained as follows: 400/1000 x 100% = 40%; if the production line 1 performs production according to the current production efficiency, the time required for the production line 1 to complete the remaining products can be estimated according to the production efficiency and the production progress of the production line 1 as follows: (1000-400)/50=12 days, therefore, it can be judged that the production line 1 can finish production on schedule, so that the production line 1 meets production requirements, no other production line allocation personnel need to go to the production line 1, and a part of personnel can be selected from the production line 1 to allocate to other production lines which do not meet the production requirements when required.
The detection and judgment of the emergency production line are specifically described below by way of example again: the production line 2 is an emergency production line, the preset detection time interval is 1 day, the total production amount of the production line 2 is 500, and the date of the current detection of the production line 2 is 30 days away from the finishing date according to the finishing date of the production line 2.
If the number of products produced by the production line 2 from last detection between the detection is 9, that is, the number of products produced by the production line 2 in the adjacent two detection time intervals is 9, the production efficiency of the production line 2 can be obtained as follows: 9/1 = 9 pieces/1 day; if the number of products produced in the production line 2 is 80 from the start of production to the current detection, that is, the number of products produced in the accumulation is 80, the production progress of the production line 2 can be obtained as follows: 80/500 x 100% = 16%; if the production line 2 performs production according to the current production efficiency, the time required for the production line 2 to complete the remaining products can be estimated according to the production efficiency and the production progress of the production line 2 as follows: (500-80)/9=46.67 days, therefore, it can be judged that the production line 2 cannot complete production on schedule, and thus the production line 2 does not meet the production demand, and it is necessary to increase the production speed of the production line 2 from other production line fitters to the production line 2.
Referring to fig. 3, the following steps are specifically performed for determining whether the non-urgent production line meets the production requirement:
the production efficiency of the non-urgent production line is obtained, the production efficiency of the non-urgent production line is compared with a preset production efficiency threshold, and if the production efficiency of the non-urgent production line is smaller than the preset production efficiency threshold, the non-urgent production line does not meet production requirements.
The production efficiency of the non-urgent production line is obtained by the steps of:
and obtaining the production quantity in the detection time interval of the adjacent two times of the non-urgent production line, and obtaining the production efficiency of the non-urgent production line according to the production quantity in the detection time interval of the adjacent two times of the non-urgent production line and the preset detection time interval.
The following examples specifically illustrate the detection and judgment of the above-mentioned non-urgent production line: the production line 3 is a non-urgent production line, the preset detection time interval is 4 hours, and the preset production efficiency threshold of the production line 3 is 15 pieces/hour.
If the number of products produced by the production line 3 from the last time of detecting the current time is 70, that is, the number of products produced by the production line 3 in the time interval between two adjacent detection times is 70, the production efficiency of the production line 3 can be obtained as follows: 70/4=17.5 pieces/hour, it can be seen that the production efficiency of the production line 3 is greater than the preset production efficiency threshold of the production line 3, so that it is judged that the production line 3 meets the production requirement, no other production line allocation personnel need to go to the production line 3, and a part of personnel can be selected from the production line 3 to allocate to other production lines which do not meet the production requirement when required.
The detection and judgment of the non-urgent production line are described in detail by way of example again: the production line 4 is a non-urgent production line, the preset detection time interval is 6 hours, and the preset production efficiency threshold of the production line 4 is 22 pieces/hour.
If the number of products completed between the last detection of the production line 4 is 100, that is, the number of products in the time interval between two adjacent detection of the production line 4 is 100, the production efficiency of the production line 4 can be obtained as follows: 100/6=16.67 pieces/hour, it can be seen that the production efficiency of the production line 4 is smaller than the preset production efficiency threshold of the production line 4, so that it is determined that the production line 4 does not meet the production requirement, and it is required to go from other production line allocation personnel to the production line 4 to increase the production speed of the production line 4.
Therefore, for an urgent production line with a deadline requirement, whether production can be completed on schedule needs to be estimated according to the current production efficiency and production progress, and whether the urgent production line can meet the production requirement is further judged; for a non-urgent production line without a deadline requirement or urgency, only whether the current production efficiency can catch up with a preset production efficiency threshold is needed to be judged, if the current production efficiency is smaller than the preset production efficiency threshold, the production speed of the production line is too slow, and accordingly, personnel are needed to be increased, so that the production speed is improved.
By detecting and judging all the urgent production lines and the non-urgent production lines, obtaining which production lines in all the production lines meet the production requirements and which production lines do not meet the production requirements, and judging that the personnel flow conditions are reasonable if all the production lines meet the production requirements; if one or more production lines do not meet the production requirement, the fact that personnel flow is unreasonable is judged, namely, the manager of the production lines is unreasonable in controlling personnel flow and allocation, corresponding personnel allocation schemes are generated, and personnel between the production lines are allocated according to the personnel allocation schemes.
Further, when both the urgent production line and the non-urgent production line in the production line have the condition of not meeting the production demand, the urgent production line allocation personnel who does not meet the production demand are preferentially allocated.
Further, after personnel between production lines are allocated according to the personnel allocation scheme, the method further comprises the following steps:
s500: the method comprises the steps of obtaining personnel average production efficiency before personnel allocation and personnel average production efficiency after personnel allocation in a production line with the number of the personnel changed, comparing the personnel average production efficiency before personnel allocation with the personnel average production efficiency after personnel allocation, and marking personnel allocated in the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result, or marking personnel allocated out of the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result.
Specifically, aiming at a production line with increased personnel numbers, acquiring and comparing the personnel average production efficiency before personnel allocation and the personnel average production efficiency after personnel allocation in the production line with increased personnel numbers, and marking personnel allocated by the production line as high-efficiency personnel if the personnel average production efficiency after personnel allocation is greater than the personnel average production efficiency before personnel allocation; if the personnel average production efficiency after personnel allocation is smaller than the personnel average production efficiency before personnel allocation, the personnel allocated in the production line are marked as low-efficiency personnel.
Aiming at a production line with reduced personnel numbers, acquiring and comparing the personnel average production efficiency before personnel allocation and the personnel average production efficiency after personnel allocation in the production line with reduced personnel numbers, and marking the personnel allocated out of the production line as high-efficiency personnel if the personnel average production efficiency before personnel allocation is greater than the personnel average production efficiency after personnel allocation; if the personnel average production efficiency before personnel allocation is smaller than the personnel average production efficiency after personnel allocation, the personnel allocated out of the production line are marked as low-efficiency personnel.
It should be noted that, the calculation formula of the average production efficiency is: average production efficiency = production efficiency/number of staff = number of production in two adjacent detection time intervals/preset detection time interval/number of staff.
The labeling of high-efficiency employees and low-efficiency employees described above is specifically described by way of example below: continuing to refer to the condition of the production line 1, the production efficiency of the production line 1 is 50 pieces/1 day, and if the number of staff of the production line 1 is 10 during detection, the average production efficiency of the production line 1 is as follows: 50/10=5 pieces/day/person.
Then, select staff A and staff B to allocate to other production lines that do not meet the production demand from production line 1, if after two personnel of production line 1 allocation left, detect production line 1 again through 1 day's detection interval time, obtain production line 1 from last time detect this time during the product quantity of production be 45, can obtain staff's average production efficiency of production line 1 after allocation and be: 45/1/8=5.625 pieces/day/person, and thus can be obtained: the production line 1 is a production line with reduced personnel numbers, and the personnel average production efficiency before the personnel allocation of the production line 1 is smaller than the personnel average production efficiency after the personnel allocation of the production line 1, and then the personnel A and the personnel B are marked as low-efficiency personnel.
However, if the production line 1 detects the production line 1 again after the staff a and the staff B leave after the detection interval time of 1 day, the number of products completed in the period from the last detection to the current detection of the production line 1 is 36, and the average production efficiency of the production line 1 after the staff allocation can be obtained: 36/1/8=4.5 pieces/day/person, and thus can be obtained: the production line 1 is a production line with reduced personnel numbers, and the personnel average production efficiency before the personnel allocation of the production line 1 is greater than the personnel average production efficiency after the personnel allocation of the production line 1, and then the personnel A and the personnel B are marked as high-efficiency personnel.
Therefore, it can be seen that the high-efficiency staff represents staff with higher work efficiency, the low-efficiency staff represents staff with lower work efficiency, and the staff can be classified and marked to provide references when being allocated among the staff in the production line, specifically: aiming at an emergency production line, high-efficiency staff are allocated; for non-urgent production lines, low-efficiency staff are allocated. Staff with different working efficiencies are correspondingly allocated according to the urgent production line and the non-urgent production line, so that the rationality of staff allocation is improved.
Further, if the production condition of each production line in the factory and the number of staff corresponding to each production line are detected at regular intervals according to the preset detection time interval, the number of staff of each production line is obtained to be unchanged in the results of two adjacent detection, namely, the staff of the production line does not flow in the two adjacent detection time intervals, and the preset detection time interval is set too short, the value of the detection time interval is correspondingly increased, so that the detection time interval is set more reasonably.
Embodiment two:
in a second embodiment of the present application, an intelligent factory personnel flow detection system is disclosed, and the intelligent factory personnel flow detection system of the present embodiment applies the intelligent factory personnel flow detection method of the first embodiment, referring to fig. 4, the intelligent factory personnel flow detection system of the present embodiment includes an acquisition module 1, a detection module 2, a calculation module 3, and a personnel flow judgment and allocation module 4, where each module functions as follows:
the acquisition module 1 is used for acquiring a preset detection time interval and production requirements of each production line in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold;
the detection module 2 is used for detecting the production condition of each production line in the factory and the number of staff corresponding to each production line at regular time according to a preset detection time interval, wherein the production condition comprises production efficiency and production progress;
the calculating module 3 is used for calculating the personnel flow condition in each detection time interval according to the number of staff detected each time;
and the personnel flow judging and allocating module 4 is used for judging whether the production lines meet the production requirements according to the production requirements of each production line and the detected corresponding production conditions, judging whether the personnel flow conditions are reasonable according to the judging results of whether the production lines meet the production requirements, and generating corresponding personnel allocation schemes if the personnel flow conditions are not reasonable.
Embodiment III:
an embodiment three of the present application discloses a computer-readable storage medium storing a computer program that, when executed by a processor, causes the intelligent factory personnel flow detection method in embodiment one.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (10)
1. An intelligent factory personnel flow detection method is characterized by comprising the following steps:
acquiring a preset detection time interval and production requirements of each production line in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold;
detecting the production condition of each production line and the number of staff corresponding to each production line in a factory according to the detection time interval, wherein the production condition comprises production efficiency and production progress;
according to the number of staff detected each time, calculating the personnel flow condition in each detection time interval;
judging whether the production line meets the production requirements or not according to the production requirements of each production line and the detected corresponding production conditions, judging whether the personnel flow conditions are reasonable or not according to the judging results of whether the production lines meet the production requirements or not, if not, generating a corresponding personnel allocation scheme, and allocating personnel among the production lines according to the personnel allocation scheme.
2. The intelligent factory personnel flow detection method according to claim 1, wherein: the production line comprises an urgent production line and a non-urgent production line; the personnel flow detection method further comprises the step of judging whether the emergency production line meets production requirements or not, and specifically comprises the following steps:
and acquiring the production efficiency and the production progress of the emergency production line, judging whether the emergency production line can finish production on schedule according to the production efficiency, the production progress and the finishing date of the emergency production line, and if the emergency production line cannot finish production on schedule, failing to meet the production requirement.
3. The intelligent factory personnel flow detection method according to claim 2, wherein: the production efficiency and the production progress of the emergency production line are obtained, and the production efficiency and the production progress are specifically:
obtaining the production quantity in the detection time interval of two adjacent times of the emergency production line, and obtaining the production efficiency of the emergency production line according to the production quantity in the detection time interval of two adjacent times of the emergency production line and a preset detection time interval;
and acquiring the accumulated production quantity of the emergency production line, and obtaining the production progress of the emergency production line according to the accumulated production quantity of the emergency production line and the total production quantity of the emergency production line.
4. The intelligent factory personnel flow detection method according to claim 2, wherein: the personnel flow detection method further comprises the step of judging whether the non-urgent production line meets production requirements or not, and specifically comprises the following steps:
and acquiring the production efficiency of the non-urgent production line, comparing the production efficiency of the non-urgent production line with a preset production efficiency threshold, and if the production efficiency of the non-urgent production line is smaller than the preset production efficiency threshold, failing to meet the production requirement of the non-urgent production line.
5. The intelligent factory personnel flow detection method according to claim 4, wherein: the production efficiency of the non-urgent production line is obtained, and the production efficiency is specifically as follows:
and obtaining the production quantity in the detection time interval of two adjacent times of the non-urgent production line, and obtaining the production efficiency of the non-urgent production line according to the production quantity in the detection time interval of two adjacent times of the non-urgent production line and the preset detection time interval.
6. The intelligent factory personnel flow detection method according to claim 1, wherein: after the personnel between the production lines are allocated according to the personnel allocation scheme, the method further comprises the following steps:
the method comprises the steps of obtaining personnel average production efficiency before personnel allocation and personnel average production efficiency after personnel allocation in a production line with the number of the personnel changed, comparing the personnel average production efficiency before personnel allocation with the personnel average production efficiency after personnel allocation, and marking personnel allocated in the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result, or marking personnel allocated out of the production line with the number of the personnel changed as high-efficiency personnel or low-efficiency personnel according to a comparison result.
7. The intelligent factory personnel flow detection method according to claim 6, wherein: when personnel between the production lines are allocated, the allocation for the urgent production line and the non-urgent production line specifically comprises:
aiming at an emergency production line, high-efficiency staff are allocated; for non-urgent production lines, low-efficiency staff are allocated.
8. The intelligent factory personnel flow detection method according to claim 1, wherein: and detecting the production condition of each production line and the number of staff corresponding to each production line in the factory according to the detection time interval, and if the number of staff of each production line has no change in the results of two adjacent detection, increasing the value of the detection time interval.
9. An intelligent factory personnel flow detection system, comprising:
the system comprises an acquisition module (1) for acquiring a preset detection time interval and production requirements of each production line in a factory, wherein the production requirements comprise a finishing date, a total production amount and a preset production efficiency threshold;
the detection module (2) is used for detecting the production condition of each production line in the factory and the number of staff corresponding to each production line according to the detection time interval, wherein the production condition comprises production efficiency and production progress;
the calculating module (3) is used for calculating the personnel flow condition in each detection time interval according to the number of staff detected each time;
and the personnel flow judging and allocating module (4) is used for judging whether the production line meets the production requirement according to the production requirement of each production line and the detected corresponding production condition, judging whether the personnel flow condition is reasonable according to the judging result of whether each production line meets the production requirement, and generating a corresponding personnel allocation scheme if the personnel flow condition is not reasonable.
10. A computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the intelligent plant personnel flow detection method of any one of claims 1-8.
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